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Erdodi B, Szollosi GJ, Toth Z, Krasznai ZT, Jakab A. The Clinical Relevance of Distinguishing Between Simple and Complex Adnexal Cystic Structures by Ultrasound in Peri- and Postmenopause. Cancers (Basel) 2025; 17:1370. [PMID: 40282546 PMCID: PMC12025840 DOI: 10.3390/cancers17081370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2025] [Revised: 04/17/2025] [Accepted: 04/18/2025] [Indexed: 04/29/2025] Open
Abstract
Background/Objectives: We aimed to determine the reliability of simple ultrasound (US) markers and CA-125 measurements in diagnosing peri- and postmenopausal ovarian masses. Methods: The study was conducted in a retrospective setting. The preoperative imaging properties of peri- (PEM) and postmenopausal (POM) ovarian cysts were examined. Based on ultrasound findings, lesions were categorized as either (1) simple cysts, defined as unilocular, anechoic structures without solid components, or (2) complex cysts, characterized by any deviation from this morphology. Imaging characteristics, mass size, and demographic data were matched with histology and CA125 levels. Results: In total, 379 cystic structures (PEM: N = 195, average age: 45.6 years; range: 40-54 years, POM: N = 184, average age 61.2 years; range: 41-88 years) were analyzed. In the PEM group, there were 75 simple (Ø < 5 cm N = 32, Ø ≥ 5 cm N = 43) and 122 complex cysts (Ø < 5 cm N = 29, Ø ≥ 5 cm, N = 93), while in the POM group, 49 simple (Ø < 5 cm N = 9, Ø ≥ 5 cm N = 40) and 135 complex cysts (Ø < 5 cm N = 15, Ø ≥ 5 cm N = 120) were found. In the PEM group, malignancy was detected in complex cysts larger than 5 cm (N = 16, 17.58%). In the POM group, malignancy was present in 40 cases, and 3 of them proved to be smaller than 5 cm. The majority of cysts were functional (54.36%) in the PEM group. In the POM group, serous cysts were the most frequent (38.04%), followed by malignant (21.74%) and mucinous cysts (13.04%). CA125 was elevated in 66 of 217 cases (30.41%); only 23 were malignant (NPV: 0.95, PPV: 0.35). Conclusions: Functional cysts are frequently found among perimenopausal ovarian cysts, with malignancy occurring exclusively in complex cysts exceeding 5 cm in diameter. However, complex cysts of any size carry a significant risk of malignancy in menopause, thus, surgery is recommended. Simple cysts can be followed by serial scans in both groups. CA-125 does not give added value to the detection of malignancy in perimenopausal patients. However, in postmenopausal complex morphology cysts larger than 5 cm, it may give added value to the suspicion of malignancy.
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Affiliation(s)
- Balazs Erdodi
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (Z.T.); (Z.T.K.); (A.J.)
- Doctoral School of Clinical Sciences, University of Debrecen, 4032 Debrecen, Hungary
| | - Gergo Jozsef Szollosi
- Coordination Center for Research in Social Sciences, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary;
| | - Zoltan Toth
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (Z.T.); (Z.T.K.); (A.J.)
| | - Zoard Tibor Krasznai
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (Z.T.); (Z.T.K.); (A.J.)
| | - Attila Jakab
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (Z.T.); (Z.T.K.); (A.J.)
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Zhou Y, Duan Y, Zhu Q, Li S, Liu X, Cheng T, Cheng D, Shi Y, Zhang J, Yang J, Zheng Y, Gao C, Wang J, Cao Y, Zhang C. Integrative deep learning and radiomics analysis for ovarian tumor classification and diagnosis: a multicenter large-sample comparative study. LA RADIOLOGIA MEDICA 2025:10.1007/s11547-025-02006-x. [PMID: 40167932 DOI: 10.1007/s11547-025-02006-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Accepted: 03/14/2025] [Indexed: 04/02/2025]
Abstract
PURPOSE This study aims to evaluate the effectiveness of combining transvaginal ultrasound (US)-based radiomics and deep learning model for the accurate differentiation between benign and malignant ovarian tumors in large-scale studies. MATERIALS AND METHODS A multicenter retrospective study collected grayscale and color US images of ovarian tumors. Patients were divided into training, internal, and external validation groups. Models including a convolutional neural networks (CNN), optimal radiomics, and a combined model were constructed and evaluated for predictive performance using area under curve (AUC), sensitivity, and specificity. The DeLong test compared model AUCs with O-RADS and expert assessments. RESULTS 3193 images from 2078 patients were analyzed. The CNN achieved AUCs of 0.970 (internal) and 0.959 (external), respectively. Optimal radiomic model achieved AUCs of 0.949 (internal) and 0.954 (external), respectively. The combined CNN-radiomics model attained the highest AUC of 0.977 (internal) and 0.972 (external), respectively, outperforming individual models, O-RADS, and expert methods (p < 0.05). CONCLUSIONS The combined CNN-radiomics model using transvaginal US images provides more accurate and reliable ovarian tumor diagnosis, enhancing malignancy prediction and offering clinicians a more precise diagnostic tool.
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Affiliation(s)
- Yi Zhou
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Shushan District, NO.218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Yayang Duan
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Shushan District, NO.218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Qiwei Zhu
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Shushan District, NO.218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Siyao Li
- Department of Ultrasound, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui Province, China
| | - Xiaoling Liu
- Department of Ultrasound, Nanchong Central Hospital, Nanchong, 637003, Sichuan, China
| | - Ting Cheng
- Department of Ultrasound, Lu'an Second Hospital, Lu'an, 237000, Anhui Province, China
| | - Dongliang Cheng
- Hebin Intelligent Robots Co., LTD, Hefei, 230022, Anhui Province, China
| | - Yuanyin Shi
- Hebin Intelligent Robots Co., LTD, Hefei, 230022, Anhui Province, China
| | - Jingshu Zhang
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Shushan District, NO.218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Jinyan Yang
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Shushan District, NO.218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Yanyan Zheng
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Shushan District, NO.218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Chuanfen Gao
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Shushan District, NO.218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Junli Wang
- Department of Ultrasound, Second People's Hospital of Wuhu, Jinghu District, NO.231 Jiuhuazhong 24 Road, Wuhu, 241000, Anhui Province, China.
| | - Yunxia Cao
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Shushan District, NO.218 Jixi Road, Hefei, 230022, Anhui Province, China.
| | - Chaoxue Zhang
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Shushan District, NO.218 Jixi Road, Hefei, 230022, Anhui Province, China.
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Nielsen T, Bribiesca R, Whealon C. Acute pelvic pain: Diagnosis and management of ruptured hemorrhagic ovarian cyst. Nurse Pract 2025; 50:42-47. [PMID: 39844322 DOI: 10.1097/01.npr.0000000000000275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2025]
Abstract
ABSTRACT Acute pelvic pain in reproductive-aged persons who are assigned female at birth is associated with an extensive differential diagnosis, with possible causes ranging from the genitourinary or gastrointestinal to the musculoskeletal or neurovascular, in some cases even extending to psychological and dermatologic presentations. This article presents a case study that serves as an exemplar of the differential diagnosis of acute pelvic pain, culminating in diagnosis of the patient with a hemorrhagic ovarian cyst as well as a review of outpatient surveillance guidelines for adnexal masses. Management of this difficult-to-diagnose condition is reviewed, and special populations are considered.
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Bae SM, Kim DH, Kang JH. Inter-reader reliability of Ovarian-Adnexal Reporting and Data System US: a systematic review and meta-analysis. Abdom Radiol (NY) 2025:10.1007/s00261-025-04813-2. [PMID: 39841229 DOI: 10.1007/s00261-025-04813-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2024] [Revised: 01/12/2025] [Accepted: 01/17/2025] [Indexed: 01/23/2025]
Abstract
PURPOSE Ovarian-Adnexal Reporting and Data System (O-RADS) US provides a standardized lexicon for ovarian and adnexal lesions, facilitating risk stratification based on morphological features for malignancy assessment, which is essential for proper management. However, systematic determination of inter-reader reliability in O-RADS US categorization remains unexplored. This study aimed to systematically determine the inter-reader reliability of O-RADS US categorization and identify the factors that affect it. METHODS Original articles reporting the inter-reader reliability of O-RADS US in lesion categorization were identified in the MEDLINE, EMBASE, and Web of Science databases from January 2018 to December 2023. DerSimonian-Laird random-effects models were used to determine the meta-analytic pooled inter-reader reliability of the O-RADS US categorization. Subgroup meta-regression analysis was performed to identify the factors causing study heterogeneity. RESULTS Fourteen original articles with 5139 ovarian and adnexal lesions were included. The inter-reader reliability of O-RADS US in lesion categorization ranged from 0.71 to 0.99, with a meta-analytic pooled estimate of 0.83 (95% CI, 0.78-0.88), indicating almost perfect reliability. Substantial study heterogeneity was observed in the inter-reader reliability of the O-RADS US categorization (I2 = 96.9). In subgroup meta-regression analysis, reader experience was the only factor associated with study heterogeneity. Pooled inter-reader reliability of the O-RADS US categorization was higher in studies with all experienced readers (0.86; 95% CI, 0.81-0.91) compared to those with multiple readers including trainees (0.74; 95% CI, 0.70-0.78; P = 0.009). The inter-reader reliability of US descriptors ranged from 0.39 to 0.97, with ascites and peritoneal nodules showing almost perfect reliability (0.79- 0.97). CONCLUSION The O-RADS US risk stratification system demonstrated almost perfect inter-reader reliability in lesion categorization. Our results highlight the importance of targeted training and descriptor simplification to improve inter-reader reliability and clinical adoption.
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Affiliation(s)
- Sang Min Bae
- Hanyang University Guri Hospital, Guri-si, Korea, Republic of
| | | | - Ji Hun Kang
- Hanyang University Guri Hospital, Guri-si, Korea, Republic of.
- Hanyang University, Seoul, Republic of Korea.
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Liu L, Cai W, Zheng F, Tian H, Li Y, Wang T, Chen X, Zhu W. Automatic segmentation model and machine learning model grounded in ultrasound radiomics for distinguishing between low malignant risk and intermediate-high malignant risk of adnexal masses. Insights Imaging 2025; 16:14. [PMID: 39804536 PMCID: PMC11729609 DOI: 10.1186/s13244-024-01874-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Accepted: 11/28/2024] [Indexed: 01/16/2025] Open
Abstract
OBJECTIVE To develop an automatic segmentation model to delineate the adnexal masses and construct a machine learning model to differentiate between low malignant risk and intermediate-high malignant risk of adnexal masses based on ovarian-adnexal reporting and data system (O-RADS). METHODS A total of 663 ultrasound images of adnexal mass were collected and divided into two sets according to experienced radiologists: a low malignant risk set (n = 446) and an intermediate-high malignant risk set (n = 217). Deep learning segmentation models were trained and selected to automatically segment adnexal masses. Radiomics features were extracted utilizing a feature analysis system in Pyradiomics. Feature selection was conducted using the Spearman correlation analysis, Mann-Whitney U-test, and least absolute shrinkage and selection operator (LASSO) regression. A nomogram integrating radiomic and clinical features using a machine learning model was established and evaluated. The SHapley Additive exPlanations were used for model interpretability and visualization. RESULTS The FCN ResNet101 demonstrated the highest segmentation performance for adnexal masses (Dice similarity coefficient: 89.1%). Support vector machine achieved the best AUC (0.961, 95% CI: 0.925-0.996). The nomogram using the LightGBM algorithm reached the best AUC (0.966, 95% CI: 0.927-1.000). The diagnostic performance of the nomogram was comparable to that of experienced radiologists (p > 0.05) and outperformed that of less-experienced radiologists (p < 0.05). The model significantly improved the diagnostic accuracy of less-experienced radiologists. CONCLUSIONS The segmentation model serves as a valuable tool for the automated delineation of adnexal lesions. The machine learning model exhibited commendable classification capability and outperformed the diagnostic performance of less-experienced radiologists. CRITICAL RELEVANCE STATEMENT The ultrasound radiomics-based machine learning model holds the potential to elevate the professional ability of less-experienced radiologists and can be used to assist in the clinical screening of ovarian cancer. KEY POINTS We developed an image segmentation model to automatically delineate adnexal masses. We developed a model to classify adnexal masses based on O-RADS. The machine learning model has achieved commendable classification performance. The machine learning model possesses the capability to enhance the proficiency of less-experienced radiologists. We used SHapley Additive exPlanations to interpret and visualize the model.
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Affiliation(s)
- Lu Liu
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, P. R. China
| | - Wenjun Cai
- Department of Ultrasound, Shenzhen University General Hospital, Medical School, Shenzhen University, Shenzhen, P. R. China
| | - Feibo Zheng
- Department of Nuclear Medicine, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, P. R. China
| | - Hongyan Tian
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, P. R. China
| | - Yanping Li
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, P. R. China
| | - Ting Wang
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, P. R. China
| | - Xiaonan Chen
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, P. R. China.
| | - Wenjing Zhu
- Medical Research Department, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, P. R. China.
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Prajapati P, Nakrour N, Shenoy-Bhangle AS, Futela D, Harisinghani MG. Adnexal masses: a compendium of established radiological signs. Abdom Radiol (NY) 2024:10.1007/s00261-024-04669-y. [PMID: 39710760 DOI: 10.1007/s00261-024-04669-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Revised: 10/28/2024] [Accepted: 10/29/2024] [Indexed: 12/24/2024]
Abstract
Adnexal masses are frequently encountered in general practice. Whether employing CT, US, or MRI, imaging plays a pivotal role in guiding appropriate treatment for patients with adnexal masses, potentially minimizing the need for surgery in benign cases and expediting the management of those with suspected malignancy. Accurately distinguishing benign from malignant adnexal masses can be challenging due to the confined pelvic space and the proximity of organs, making it difficult to determine their organ of origin or to distinguish tissue characteristics and imaging features. Radiologists have identified a myriad of classic adnexal imaging signs that are pathognomonic of certain diagnoses. Often named analogously to familiar objects, such as the "boba sign," familiarity with these signs can contribute to an accurate diagnosis, avoiding additional imaging tests. This pictorial review is a compendium of known radiological signs of adnexal pathologies, reiterating their role in making an accurate diagnosis, and guiding the next steps in management.
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Liu Y, Cao L, Chen S, Zhou J. Diagnostic accuracy of ultrasound classifications - O-RADS US v2022, O-RADS US v2020, and IOTA SR - in distinguishing benign and malignant adnexal masses: Enhanced by combining O-RADS US v2022 with tumor marker HE4. Eur J Radiol 2024; 181:111824. [PMID: 39541614 DOI: 10.1016/j.ejrad.2024.111824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 10/20/2024] [Accepted: 11/06/2024] [Indexed: 11/16/2024]
Abstract
PURPOSE To assess the diagnostic accuracy of O-RADS Ultrasound (O-RADS US) v2022, O-RADS US v2020, and IOTA SR, and to evaluate whether combining imaging findings with tumor markers enhances the diagnosis of adnexal masses. METHODS This retrospective study, conducted between January 2018 and December 2023, included consecutive women with adnexal masses scheduled for surgery. Histopathologic results served as the reference standard. Risk factors for malignancy were identified using univariate and multivariate logistic regression analyses. ROC analysis was employed to assess diagnostic test performances, while Kappa statistics evaluated inter-reviewer agreement. RESULTS A total of 613 women (mean age, 49.39 ± 12.81 years; range, 16-87 years) with pelvic masses were included. O-RADS US v2022 exhibited comparable performance to O-RADS US v2020, with areas under the curve (AUC) values of 0.940 and 0.937, respectively (p = 0.02, exceeding the adjusted significance level of 0.0167). Both O-RADS models outperformed the IOTA SR, which had an AUC of 0.862 (p < 0.0001 for both comparisons). Multivariate analysis revealed that O-RADS US v2022 [OR 9.148, 95 %CI (4.912-17.039), p < 0.001] and HE4 [OR 1.023, 95 %CI (1.010-1.036), p = 0.001] were significant factors associated with malignant lesions. Furthermore, the combination of O-RADS US v2022 and HE4 demonstrated an AUC of 0.98, significantly outperforming either O-RADS US v2022 alone (AUC = 0.94) or HE4 alone (AUC = 0.92). The Kappa values for O-RADS US v2022, O-RADS US v2020 and IOTA SR were 0.933, 0.891 and 0.923, respectively, indicating substantial inter-reader agreement. CONCLUSIONS The O-RADS US v2022 demonstrates comparable performance in predicting ovarian malignant lesions when compared to O-RADS US v2020, while surpassing the performance of IOTA SR. Additionally, the combination of O-RADS US v2022 and HE4 provides improved diagnostic effectiveness over using either O-RADS US v2022 or HE4 alone.
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Affiliation(s)
- Yubo Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
| | - Lan Cao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
| | - Shengfu Chen
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
| | - Jianhua Zhou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China.
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AIUM Practice Parameter for the Performance of Ultrasound of the Female Pelvis, 2024 Revision. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2024; 43:E56-E64. [PMID: 39158217 DOI: 10.1002/jum.16556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Accepted: 08/07/2024] [Indexed: 08/20/2024]
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Yi YY, Li C, Zhu WJ, Hou YL. Diagnostic performance of contrast-enhanced ultrasound (CEUS) combined with Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk stratification for adnexal masses: a systematic review and meta-analysis. Clin Radiol 2024; 79:e1167-e1175. [PMID: 38942707 DOI: 10.1016/j.crad.2024.05.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 04/25/2024] [Accepted: 05/31/2024] [Indexed: 06/30/2024]
Abstract
AIM A number of studies have reported that contrast-enhanced ultrasound (CEUS) imaging might be used for the early diagnosis of adnexal masses. A meta-analysis was performed to evaluate the diagnostic accuracy of CEUS combined with Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk stratification for adnexal masses. MATERIALS AND METHODS Related articles were retrieved from PubMed, Web of Science, Embase, and the Cochrane Library in strict accordance with established standards, and data (including true positive, false positive, false negative, and true negative values) was extracted from the original articles. The Quality Assessment of Diagnostic Accuracy Studies 2 was used to evaluate the quality of articles and the possibility of bias. STATA 12.0 software was used to perform statistical analysis. RESULTS Five articles that included 598 patients were analyzed in this meta-analysis. The pooled sensitivity and specificity of CEUS combined with O-RADS for the diagnosis of adnexal masses were 0.95 (95% confidence interval [CI]: 0.91-0.98) and 0.86 (95% CI: 0.79-0.91). Moreover, the positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio (DOR), and area under the curve (AUC) were 6.81 (95% CI: 4.61-10.08), 0.05 (95% CI: 0.03-0.11), 111.30 (95% CI: 65.32-189.65), and 0.97 (95% CI: 0.95-0.98), respectively. The pooled AUC and DOR for the detection of CEUS combined with O-RADS were superior to O-RADS US. CONCLUSION Our findings revealed that O-RADS combined with CEUS can improve the diagnostic accuracy of ovarian adnexal masses.
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Affiliation(s)
- Y-Y Yi
- Department of Ultrasound, Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing 314000, Zhejiang, People's Republic of China
| | - C Li
- Department of Cardiology, Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing 314000, Zhejiang, People's Republic of China
| | - W-J Zhu
- Department of Ultrasound, Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing 314000, Zhejiang, People's Republic of China
| | - Y-L Hou
- Department of Ultrasound, Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing 314000, Zhejiang, People's Republic of China.
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Patel-Lippmann KK, Gupta A, Martin MF, Phillips CH, Maturen KE, Jha P, Sadowski EA, Stein EB. The Roles of Ovarian-Adnexal Reporting and Data System US and Ovarian-Adnexal Reporting and Data System MRI in the Evaluation of Adnexal Lesions. Radiology 2024; 312:e233332. [PMID: 39162630 DOI: 10.1148/radiol.233332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/21/2024]
Abstract
The Ovarian-Adnexal Reporting and Data System (O-RADS) is an evidence-based clinical support system for ovarian and adnexal lesion assessment in women of average risk. The system has both US and MRI components with separate but complementary lexicons and assessment categories to assign the risk of malignancy. US is an appropriate initial imaging modality, and O-RADS US can accurately help to characterize most adnexal lesions. MRI is a valuable adjunct imaging tool to US, and O-RADS MRI can help to both confirm a benign diagnosis and accurately stratify lesions that are at risk for malignancy. This article will review the O-RADS US and MRI systems, highlight their similarities and differences, and provide an overview of the interplay between the systems. When used together, the O-RADS US and MRI systems can help to accurately diagnose benign lesions, assess the risk of malignancy in lesions suspicious for malignancy, and triage patients for optimal management.
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Affiliation(s)
- Krupa K Patel-Lippmann
- From the Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave S, Nashville, TN 37232 (K.K.P.L., C.H.P.); Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY (A.G.); Department of Radiology, University of Michigan, Ann Arbor, Mich (M.F.M., K.E.M., E.B.S.); Department of Radiology, Stanford University, Stanford, Calif (P.J.); and Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (E.A.S.)
| | - Akshya Gupta
- From the Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave S, Nashville, TN 37232 (K.K.P.L., C.H.P.); Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY (A.G.); Department of Radiology, University of Michigan, Ann Arbor, Mich (M.F.M., K.E.M., E.B.S.); Department of Radiology, Stanford University, Stanford, Calif (P.J.); and Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (E.A.S.)
| | - Marisa F Martin
- From the Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave S, Nashville, TN 37232 (K.K.P.L., C.H.P.); Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY (A.G.); Department of Radiology, University of Michigan, Ann Arbor, Mich (M.F.M., K.E.M., E.B.S.); Department of Radiology, Stanford University, Stanford, Calif (P.J.); and Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (E.A.S.)
| | - Catherine H Phillips
- From the Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave S, Nashville, TN 37232 (K.K.P.L., C.H.P.); Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY (A.G.); Department of Radiology, University of Michigan, Ann Arbor, Mich (M.F.M., K.E.M., E.B.S.); Department of Radiology, Stanford University, Stanford, Calif (P.J.); and Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (E.A.S.)
| | - Katherine E Maturen
- From the Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave S, Nashville, TN 37232 (K.K.P.L., C.H.P.); Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY (A.G.); Department of Radiology, University of Michigan, Ann Arbor, Mich (M.F.M., K.E.M., E.B.S.); Department of Radiology, Stanford University, Stanford, Calif (P.J.); and Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (E.A.S.)
| | - Priyanka Jha
- From the Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave S, Nashville, TN 37232 (K.K.P.L., C.H.P.); Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY (A.G.); Department of Radiology, University of Michigan, Ann Arbor, Mich (M.F.M., K.E.M., E.B.S.); Department of Radiology, Stanford University, Stanford, Calif (P.J.); and Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (E.A.S.)
| | - Elizabeth A Sadowski
- From the Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave S, Nashville, TN 37232 (K.K.P.L., C.H.P.); Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY (A.G.); Department of Radiology, University of Michigan, Ann Arbor, Mich (M.F.M., K.E.M., E.B.S.); Department of Radiology, Stanford University, Stanford, Calif (P.J.); and Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (E.A.S.)
| | - Erica B Stein
- From the Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave S, Nashville, TN 37232 (K.K.P.L., C.H.P.); Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY (A.G.); Department of Radiology, University of Michigan, Ann Arbor, Mich (M.F.M., K.E.M., E.B.S.); Department of Radiology, Stanford University, Stanford, Calif (P.J.); and Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (E.A.S.)
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11
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Lamghare P, Paidlewar S, Arkar R, Rangankar V, Sharma O, Julakanti S, Pandey A. MRI Evaluation and Characterization of Ovarian Lesions Based on Ovarian-Adnexal Reporting and Data System MRI. Cureus 2024; 16:e67904. [PMID: 39328653 PMCID: PMC11426925 DOI: 10.7759/cureus.67904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Accepted: 08/27/2024] [Indexed: 09/28/2024] Open
Abstract
Background Managing ovarian lesions requires differentiating between benign and malignant cases. The development of a multiparametric MRI approach combining anatomical and functional criteria has led to the creation of the Ovarian-Adnexal Reporting and Data System (O-RADS) MRI scoring system, which enhances diagnostic accuracy. Objectives To study ovarian lesions and their characteristics, along with their risk stratification based on MRI O-RADS. Methods A prospective study used the O-RADS MRI criteria to categorize ovarian lesions. Clinical findings and MRI results were compared with histopathological outcomes to assess diagnostic accuracy. Results We identified abdominal pain as the most prevalent clinical finding among our cases (64, 91.43%), followed by a lump in the abdomen (33, 47.5%), dysmenorrhea (33, 47.5%), bleeding per vaginal (15, 21.43%), and weight loss (11, 15.71%). A total of 80 ovarian lesions were examined and characterized on the basis of the O-RADS MRI risk stratification system. Among the 80 ovarian lesions, 54 were histopathologically confirmed ovarian lesions (39 (72.22%) were benign, and 15 (27.77%) were malignant). The most common benign lesions were ovarian serous cystadenoma (28.20%) and ovarian mucinous cystadenoma (20.51%), while the most common malignant lesions were serous carcinoma (33.33%) and mucinous carcinoma (20%). Using the O-RADS MRI scoring system, we categorized six lesions (7.5%) as O-RADS 1 (all benign), 34 lesions (42.50%) as O-RADS 2 (32 benign and 2 malignant), 24 lesions (30%) as O-RADS 3 (23 benign and 1 malignant), seven lesions (8.75%) as O-RADS 4 (four benign and three malignant), and nine lesions (11.25%) as O-RADS 5 (all malignant). Our findings revealed significant differences in the size of lesions, the presence of thick septa, high T2-weighted signal intensity within solid tissue, and patterns of solid component enhancement and wall irregularity between malignant and benign lesions. The MRI cut-off score of ≥4 for malignancy demonstrated a sensitivity of 94.59%, a specificity of 97.5%, an accuracy of 97.62%, a positive predictive value of 94.5%, and a negative predictive value of 97.5%. The positive likelihood ratio was 32.7, while the negative likelihood ratio was 0.025. These results affirm the high diagnostic accuracy of the O-RADS MRI scoring system in distinguishing benign from malignant ovarian lesions. Conclusion The O-RADS MRI score is a highly accurate tool for differentiating between benign and malignant ovarian lesions. Its application can significantly enhance the management and treatment outcomes for patients with adnexal masses. The study confirms the scoring system's high sensitivity, specificity, and overall diagnostic accuracy.
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Affiliation(s)
- Purnachandra Lamghare
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Sayali Paidlewar
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Rahul Arkar
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Varsha Rangankar
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Ojasvi Sharma
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Sravya Julakanti
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Ankita Pandey
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
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12
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Patel-Lippmann KK, Wasnik AP, Akin EA, Andreotti RF, Ascher SM, Brook OR, Eskander RN, Feldman MK, Jones LP, Martino MA, Patel MD, Patlas MN, Revzin MA, VanBuren W, Yashar CM, Kang SK. ACR Appropriateness Criteria® Clinically Suspected Adnexal Mass, No Acute Symptoms: 2023 Update. J Am Coll Radiol 2024; 21:S79-S99. [PMID: 38823957 DOI: 10.1016/j.jacr.2024.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 02/28/2024] [Indexed: 06/03/2024]
Abstract
Asymptomatic adnexal masses are commonly encountered in daily radiology practice. Although the vast majority of these masses are benign, a small subset have a risk of malignancy, which require gynecologic oncology referral for best treatment outcomes. Ultrasound, using a combination of both transabdominal, transvaginal, and duplex Doppler technique can accurately characterize the majority of these lesions. MRI with and without contrast is a useful complementary modality that can help characterize indeterminate lesions and assess the risk of malignancy is those that are suspicious. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
| | | | - Esma A Akin
- The George Washington University Medical Center, Washington, District of Columbia; Commission on Nuclear Medicine and Molecular Imaging
| | | | - Susan M Ascher
- MedStar Georgetown University Hospital, Washington, District of Columbia
| | - Olga R Brook
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Ramez N Eskander
- University of California, San Diego, San Diego, California; American College of Obstetricians and Gynecologists
| | | | - Lisa P Jones
- Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Martin A Martino
- Ascension St. Vincent's, Jacksonville, Florida; University of South Florida, Tampa, Florida, Gynecologic oncologist
| | | | - Michael N Patlas
- Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Margarita A Revzin
- Yale University School of Medicine, New Haven, Connecticut; Committee on Emergency Radiology-GSER
| | | | - Catheryn M Yashar
- University of California, San Diego, San Diego, California; Commission on Radiation Oncology
| | - Stella K Kang
- Specialty Chair, New York University Medical Center, New York, New York
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13
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Stephens AN, Hobbs SJ, Kang SW, Oehler MK, Jobling TW, Allman R. Utility of a Multi-Marker Panel with Ultrasound for Enhanced Classification of Adnexal Mass. Cancers (Basel) 2024; 16:2048. [PMID: 38893167 PMCID: PMC11171301 DOI: 10.3390/cancers16112048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/21/2024] Open
Abstract
Pre-surgical clinical assessment of an adnexal mass typically relies on transvaginal ultrasound for comprehensive morphological assessment, with further support provided by biomarker measurements and clinical evaluation. Whilst effective for masses that are obviously benign or malignant, a large proportion of masses remain sonographically indeterminate at surgical referral. As a consequence, post-surgical diagnoses of benign disease can outnumber malignancies up to 9-fold, while less than 50% of cancer cases receive a primary referral to a gynecological oncology specialist. We recently described a blood biomarker signature (multi-marker panel-MMP) that differentiated patients with benign from malignant ovarian disease with high accuracy. In this study, we have examined the use of the MMP, both individually and in combination with transvaginal ultrasound, as an alternative tool to CA-125 for enhanced decision making in the pre-surgical referral process.
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Affiliation(s)
- Andrew N. Stephens
- Cleo Diagnostics Ltd., Melbourne 3000, Australia; (S.J.H.); (R.A.)
- Hudson Institute of Medical Research, Clayton 3168, Australia;
- Department of Molecular and Translational Sciences, Monash University, Clayton 3168, Australia
| | - Simon J. Hobbs
- Cleo Diagnostics Ltd., Melbourne 3000, Australia; (S.J.H.); (R.A.)
| | - Sung-Woog Kang
- Hudson Institute of Medical Research, Clayton 3168, Australia;
- Department of Molecular and Translational Sciences, Monash University, Clayton 3168, Australia
| | - Martin K. Oehler
- Department of Gynecological Oncology, Royal Adelaide Hospital, Adelaide 5000, Australia;
- Robinson Institute, University of Adelaide, Adelaide 5000, Australia
| | - Tom W. Jobling
- Department of Gynecological Oncology, Monash Medical Centre, Bentleigh East 3165, Australia;
| | - Richard Allman
- Cleo Diagnostics Ltd., Melbourne 3000, Australia; (S.J.H.); (R.A.)
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14
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Liu L, Cai W, Tian H, Wu B, Zhang J, Wang T, Hao Y, Yue G. Ultrasound image-based nomogram combining clinical, radiomics, and deep transfer learning features for automatic classification of ovarian masses according to O-RADS. Front Oncol 2024; 14:1377489. [PMID: 38812784 PMCID: PMC11133542 DOI: 10.3389/fonc.2024.1377489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 04/16/2024] [Indexed: 05/31/2024] Open
Abstract
Background Accurate and rapid discrimination between benign and malignant ovarian masses is crucial for optimal patient management. This study aimed to establish an ultrasound image-based nomogram combining clinical, radiomics, and deep transfer learning features to automatically classify the ovarian masses into low risk and intermediate-high risk of malignancy lesions according to the Ovarian- Adnexal Reporting and Data System (O-RADS). Methods The ultrasound images of 1,080 patients with 1,080 ovarian masses were included. The training cohort consisting of 683 patients was collected at the South China Hospital of Shenzhen University, and the test cohort consisting of 397 patients was collected at the Shenzhen University General Hospital. The workflow included image segmentation, feature extraction, feature selection, and model construction. Results The pre-trained Resnet-101 model achieved the best performance. Among the different mono-modal features and fusion feature models, nomogram achieved the highest level of diagnostic performance (AUC: 0.930, accuracy: 84.9%, sensitivity: 93.5%, specificity: 81.7%, PPV: 65.4%, NPV: 97.1%, precision: 65.4%). The diagnostic indices of the nomogram were higher than those of junior radiologists, and the diagnostic indices of junior radiologists significantly improved with the assistance of the model. The calibration curves showed good agreement between the prediction of nomogram and actual classification of ovarian masses. The decision curve analysis showed that the nomogram was clinically useful. Conclusion This model exhibited a satisfactory diagnostic performance compared to junior radiologists. It has the potential to improve the level of expertise of junior radiologists and provide a fast and effective method for ovarian cancer screening.
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Affiliation(s)
- Lu Liu
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Wenjun Cai
- Department of Ultrasound, Shenzhen University General Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Hongyan Tian
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Beibei Wu
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Jing Zhang
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Ting Wang
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Yi Hao
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Guanghui Yue
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China
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15
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Han CY, Lu KH, Corrigan G, Perez A, Kohring SD, Celestino J, Bedi D, Bedia E, Bevers T, Boruta D, Carlson M, Holman L, Leeds L, Mathews C, McCann G, Moore RG, Schlumbrecht M, Slomovitz B, Tobias D, Williams-Brown Y, Bevers MW, Liu J, Gornet TG, Handy BC, Lu Z, Bedia JS, Skates SJ, Bast RC. Normal Risk Ovarian Screening Study: 21-Year Update. J Clin Oncol 2024; 42:1102-1109. [PMID: 38194613 PMCID: PMC11003507 DOI: 10.1200/jco.23.00141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 09/08/2023] [Accepted: 11/03/2023] [Indexed: 01/11/2024] Open
Abstract
PURPOSE The Normal Risk Ovarian Screening Study (NROSS) tested a two-stage screening strategy in postmenopausal women at conventional hereditary risk where significantly rising cancer antigen (CA)-125 prompted transvaginal sonography (TVS) and abnormal TVS prompted surgery to detect ovarian cancer. METHODS A total of 7,856 healthy postmenopausal women were screened annually for a total of 50,596 woman-years in a single-arm study (ClinicalTrials.gov identifier: NCT00539162). Serum CA125 was analyzed with the Risk of Ovarian Cancer Algorithm (ROCA) each year. If risk was unchanged and <1:2,000, women returned in a year. If risk increased above 1:500, TVS was undertaken immediately, and if risk was intermediate, CA125 was repeated in 3 months with a further increase in risk above 1:500 prompting referral for TVS. An average of 2% of participants were referred to TVS annually. RESULTS Thirty-four patients were referred for operations detecting 15 ovarian cancers and two borderline tumors with 12 in early stage (I-II). In addition, seven endometrial cancers were detected with six in stage I. As four ovarian cancers and two borderline tumors were diagnosed with a normal ROCA, the sensitivity for detecting ovarian and borderline cancer was 74% (17 of 23), and 70% of ROCA-detected cases (12 of 17) were in stage I-II. NROSS screening reduced late-stage (III-IV) disease by 34% compared with UKCTOCS controls and by 30% compared with US SEER values. The positive predictive value (PPV) was 50% (17 of 34) for detecting ovarian cancer and 74% (25 of 34) for any cancer, far exceeding the minimum acceptable study end point of 10% PPV. CONCLUSION While the NROSS trial was not powered to detect reduced mortality, the high specificity, PPV, and marked stage shift support further development of this strategy.
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Affiliation(s)
- Chae Young Han
- Department of Experimental Therapeutics, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Karen H. Lu
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Gwen Corrigan
- Department of Experimental Therapeutics, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Alexandra Perez
- Department of Experimental Therapeutics, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sharlene D. Kohring
- Department of Experimental Therapeutics, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Joseph Celestino
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Deepak Bedi
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Enrique Bedia
- Unity Point Health, John Stoddard Cancer Center, Des Moines, IA
| | - Therese Bevers
- Department of Clinical Cancer Prevention, University of Texas MD Anderson Cancer Center, Houston, TX
| | - David Boruta
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Matthew Carlson
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical School, Dallas, TX
| | - Laura Holman
- Department of Obstetrics and Gynecology, University of Oklahoma Medical School, Oklahoma City, OK
| | | | | | - Georgia McCann
- Department of Obstetrics and Gynecology, University of Texas San Antonio School of Medicine, San Antonio, TX
| | - Richard G. Moore
- Department of Obstetrics and Gynecology, Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY
| | | | - Brian Slomovitz
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
- Carol G. Simon Cancer Center, Atlantic Health, Morristown, NJ
| | - Dan Tobias
- Carol G. Simon Cancer Center, Atlantic Health, Morristown, NJ
| | - Yvette Williams-Brown
- Department of Obstetrics and Gynecology, Dell School of Medicine, University of Texas, Austin, TX
| | - Michael W. Bevers
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jinsong Liu
- Department of Laboratory Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Terrie G. Gornet
- Department of Laboratory Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Beverly C. Handy
- Department of Laboratory Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Zhen Lu
- Department of Experimental Therapeutics, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jacob S. Bedia
- MGH Biostatistics, Massachusetts General Hospital, Boston, MA
| | | | - Robert C. Bast
- Department of Experimental Therapeutics, University of Texas MD Anderson Cancer Center, Houston, TX
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Silva AM, Ng TSC. Creating the freedom to thrive: Honoring the legacy of RSNA gold medalist, Deborah Levine, MD. Clin Imaging 2024; 106:110031. [PMID: 38128405 DOI: 10.1016/j.clinimag.2023.110031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/01/2023] [Accepted: 11/20/2023] [Indexed: 12/23/2023]
Abstract
Awarded the Radiological Society of North America (RSNA) Gold Medal in 2018, Dr. Deborah Levine's research, journalism, and mentorship have left an indelible mark on the radiology field. Her work in ultrasound led to its use as the standard for monitoring benign adnexal cysts. She helped popularize obstetric magnetic resonance imaging (MRI) through her research on its use in placental accreta and fetal abnormalities, which led to the development of the 'Compendium of Fetal MRI' website. This work in research led naturally to a career in journalism, where she eventually became Senior Deputy Editor of Radiology and founded Radiology Select. Concurrently with her personal achievements, Dr. Levine has dedicated herself to the mentorship of her female trainees. She sought various leadership positions to learn more about and advocate for the promotion and support of female leadership in radiology departments. In many ways, Dr. Levine's career and work have transformed radiology as we know it today for both patients and physicians.
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Affiliation(s)
- Annelise M Silva
- Department of Medical Education, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA.
| | - Thomas S C Ng
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA; Joint Program in Nuclear Medicine, Harvard Medical School, Boston, MA, USA
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17
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Palm V, Heye T, Molwitz I, von Stackelberg O, Kauczor HU, Schreyer AG. Sustainability and Climate Protection in Radiology - An Overview. ROFO-FORTSCHR RONTG 2023; 195:981-988. [PMID: 37348529 DOI: 10.1055/a-2093-4177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/24/2023]
Abstract
BACKGROUND Sustainability is becoming increasingly important in radiology. Besides climate protection - economic, ecological, and social aspects are integral elements of sustainability. An overview of the scientific background of the sustainability and environmental impact of radiology as well as possibilities for future concepts for more sustainable diagnostic and interventional radiology are presented below.The three elements of sustainability:1. EcologyWith an annually increasing number of tomographic images, Germany is in one of the leading positions worldwide in a per capita comparison. The energy consumption of an MRI system is comparable to 26 four-person households annually. CT and MRI together make a significant contribution to the overall energy consumption of a hospital. In particular, the energy consumption in the idle or inactive state is responsible for a relevant proportion.2. EconomyA critical assessment of the indications for radiological imaging is important not only because of radiation protection, but also in terms of sustainability and "value-based radiology". As part of the "Choosing Wisely" initiative, a total of 600 recommendations for avoiding unnecessary examinations were compiled from various medical societies, including specific indications in radiological diagnostics.3. Social SustainabilityThe alignment of radiology to the needs of patients and referring physicians is a core aspect of the social component of sustainability. Likewise, ensuring employee loyalty by supporting and maintaining motivation, well-being, and job satisfaction is an essential aspect of social sustainability. In addition, sustainable concepts are of relevance in teaching and research, such as the educational curriculum for residents in radiology, RADUCATION or the recommendations of the International Committee of Medical Journal Editors. KEY POINTS · Sustainability comprises three pillars: economy, ecology and the social component.. · Radiologies have a high optimization potential due to a significant demand of these resources.. · A dialogue between medicine, politics and industry is necessary for a sustainable radiology.. · The discourse, knowledge transfer and public communication of recommendations are part of the sustainability network of the German Roentgen Society (DRG).. CITATION FORMAT · Palm V, Heye T, Molwitz I et al. Sustainability and Climate Protection in Radiology - An Overview. Fortschr Röntgenstr 2023; 195: 981 - 988.
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Affiliation(s)
- Viktoria Palm
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), Heidelberg University, Heidelberg, Germany
- Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik am Universitätsklinikum Heidelberg, Germany
| | - Tobias Heye
- Department of Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Isabel Molwitz
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Oyunbileg von Stackelberg
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), Heidelberg University, Heidelberg, Germany
- Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik am Universitätsklinikum Heidelberg, Germany
| | - Hans-Ulrich Kauczor
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), Heidelberg University, Heidelberg, Germany
- Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik am Universitätsklinikum Heidelberg, Germany
| | - Andreas G Schreyer
- Institute for Diagnostic and Interventional Radiology, Brandenburg Medical School Theodor Fontane, Brandenburg a. d. Havel, Germany
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Phillips CH, Strachowski LM, Reinhold C, Andreotti RF. Response to Editorial Entitled: Ovarian-Adnexal Reporting and Data System for Ultrasound: A Framework for Improvement. Can Assoc Radiol J 2023; 74:764-765. [PMID: 36930596 DOI: 10.1177/08465371231162630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Affiliation(s)
- Catherine H Phillips
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Centre, Nashville, TN, USA
| | - Loretta M Strachowski
- Department of Radiology and Biomedical Imaging, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, CA, USA
| | - Caroline Reinhold
- Department of Radiology, Augmented Intelligence & Precision Health Laboratory of the Research Institute, McGill University Health Centre, Montreal, QC, Canada
| | - Rochelle F Andreotti
- Department of Radiology and Radiological Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Centre, Nashville, TN, USA
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Singh A, Gainder S, Banerjee P, Goel A, Kumar P, Mondal B, Banik SP, Bagchi D. Efficacy of a Proprietary Fenugreek Seed Extract ( Trigonella foenum-graecum, Furocyst®) in Women with Polycystic Ovary Syndrome (PCOS): a Randomized, Double-Blind, Placebo-Controlled Study. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2023; 42:651-659. [PMID: 36219198 DOI: 10.1080/27697061.2022.2126410] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/09/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
INTRODUCTION Polycystic ovary syndrome (PCOS) is characterized by hyperandrogenemia, a quite common heterogenous endocrine/hormonal disorder, and accompanied by elevated androgen level, menstrual irregularity, and hirsutism. The consequences include infertility or miscarriage. It is a challenging problem to the physicians. In a one-arm, non-randomized preliminary investigation in fifty premenopausal women, we demonstrated the efficacy of Furocyst®, a patented, standardized Trigonella foenum-graecum extract, in ameliorating the symptoms of PCOS over a period of 90 consecutive days. OBJECTIVE In the present study, a double-blind, two-arm, single-center, randomized, comparative study was conducted to assess the efficacy of Furocyst® (2 capsules of 500 mg/day) in 208 pre-menopausal women diagnosed with PCOS. METHODS Ethical committee approval was obtained. A total of 208 subjects (placebo = 95; Furocyst® = 113; age:18-45 years, BMI < 42 kg/m2) completed the investigation. The comparative efficacy of placebo and Furocyst® was assessed on the number of cysts, ovarian volume, hirsutism, LH:FSH ratio, titer of TSH, SHBG, prolactin and free testosterone. Key clinical parameters such as fasting blood glucose levels, HOMA Index, cholesterol, LDL, and triglyceride levels, as well as total blood chemistry were also investigated. RESULTS Furocyst® supplementation significantly reduced the number of cysts, ovarian volume, and hirsutism levels, as well as normalized the menstrual cycle in Furocyst®-treated subjects as compared to placebo group. Furocyst® significantly reduced luteinizing hormone (LH) and follicle stimulating hormone (FSH) levels, and thyroid stimulating hormone (TSH) levels, and reduced the prolactin and SHBG levels. Furocyst® significantly reduced the fasting blood glucose levels, HOMA Index, cholesterol, LDL, and triglyceride levels as compared to the placebo group, while the free testosterone levels were significantly decreased in the Furocyst® group. CONCLUSION The studies collectively demonstrated the efficacy of Furocyst® as a safe, natural phytochemical-based formulation to alleviate the symptoms of PCOS. No significant adverse events were observed.
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Affiliation(s)
- Amarjeet Singh
- Department of Community Medicine, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, Panjab, India
| | - Shalini Gainder
- Department of Obstetrics & Gynecology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, Panjab, India
| | - Pradipta Banerjee
- Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Apurva Goel
- Regulatory Department, Chemical Resources (CHERESO), Panchkula, Haryana, India
| | - Pawan Kumar
- Research and Development Department, Chemical Resources (CHERESO), Panchkula, Haryana, India
| | - Banashree Mondal
- Parkinson's Disease and Movement Disorder Program, Institute of Neurosciences, Kolkata, India
| | - Samudra P Banik
- Department of Microbiology, Maulana Azad College, Kolkata, India
| | - Debasis Bagchi
- Department of Biology, Adelphi University, Garden City, New York, USA
- Department of Pharmaceutical Sciences, Texas Southern University, Houston, Texas, USA
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20
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Wu M, Zhang M, Cao J, Wu S, Chen Y, Luo L, Lin X, Su M, Zhang X. Predictive accuracy and reproducibility of the O-RADS US scoring system among sonologists with different training levels. Arch Gynecol Obstet 2023; 308:631-637. [PMID: 35994107 DOI: 10.1007/s00404-022-06752-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 08/12/2022] [Indexed: 11/02/2022]
Abstract
PURPOSE To investigate the predictive performance and reproducibility of Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound (US) system in evaluating adnexal masses between sonologists with varying levels of expertise. METHODS This was a single-center retrospective study conducted between May 2019 and May 2020, which included 147 adnexal mases with pathological results. Four sonologists with varying experiences independently assigned an O-RADS US category to each adnexal mass twice. The intra- and inter-observer agreement was assessed using weighted kappa values. The area under the curve (AUC), sensitivity, specificity, positive and negative predictive value (PPV and NPV) were assessed for each sonologist. RESULTS Of the 147 adnexal mases, 115 (78.2%) lesions were benign and 32 (21.8%) lesions were malignant. Considering O-RADS > 3 as a predictor for adnexal malignancy, the predictive accuracies of the four sonologists were excellent, with AUCs ranging from 0.831 to 0.926. The predictive accuracies of O-RADS US by experienced sonologists were significantly higher compared to inexperienced sonologists (all P values < 0.005). The O-RADS US presented high sensitivity and NPV value for each sonologist. With regard to the reproducibility of O-RADS, the intra- and inter-observer agreement among experienced sonologists performed better than inexperienced sonologists. CONCLUSION O-RADS showed difference in the predictive accuracy and reproducibility in the evaluation of adnexal masses among sonologists with different levels of expertise. Training is required for inexperienced sonologists before the generalization of O-RADS classification system in clinical practice.
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Affiliation(s)
- Manli Wu
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China
| | - Man Zhang
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China
| | - Junyan Cao
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China
| | - Shuangyu Wu
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China
| | - Ying Chen
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China
| | - Liping Luo
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China
| | - Xin Lin
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China
| | - Manting Su
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China
| | - Xinling Zhang
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China.
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Roseland ME, Maturen KE, Shampain KL, Wasnik AP, Stein EB. Adnexal Mass Imaging: Contemporary Guidelines for Clinical Practice. Radiol Clin North Am 2023; 61:671-685. [PMID: 37169431 DOI: 10.1016/j.rcl.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Several recent guidelines have been published to improve accuracy and consistency of adnexal mass imaging interpretation and to guide management. Guidance from the American College of Radiology (ACR) Appropriateness Criteria establishes preferred adnexal imaging modalities and follow-up. Moreover, the ACR Ovarian-Adnexal Reporting Data System establishes a comprehensive, unified set of evidence-based guidelines for classification of adnexal masses by both ultrasound and MR imaging, communicating risk of malignancy to further guide management.
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Affiliation(s)
- Molly E Roseland
- Michigan Medicine, University of Michigan, University Hospital B1D502D, 1500 East Medical Center Dr., Ann Arbor, MI 48109, USA.
| | - Katherine E Maturen
- Michigan Medicine, University of Michigan, University Hospital B1D502D, 1500 East Medical Center Dr., Ann Arbor, MI 48109, USA
| | - Kimberly L Shampain
- Michigan Medicine, University of Michigan, University Hospital B1D502D, 1500 East Medical Center Dr., Ann Arbor, MI 48109, USA
| | - Ashish P Wasnik
- Michigan Medicine, University of Michigan, University Hospital B1D502D, 1500 East Medical Center Dr., Ann Arbor, MI 48109, USA
| | - Erica B Stein
- Michigan Medicine, University of Michigan, University Hospital B1D502D, 1500 East Medical Center Dr., Ann Arbor, MI 48109, USA
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22
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Liu YN, Tan X, Xiong W, Dong X, Liu J, Wang ZL, Chen HX. Natural history and malignant potential of simple ovarian cysts in postmenopausal women: a systematic review and meta-analysis. Menopause 2023; 30:559-565. [PMID: 36787526 DOI: 10.1097/gme.0000000000002163] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
IMPORTANCE Postmenopausal ovarian masses are not uncommon, and the incidence of ovarian cancer rises sharply after menopause. OBJECTIVE We conducted a systematic review and meta-analysis to investigate the natural history and malignant potential of postmenopausal simple ovarian cysts. EVIDENCE REVIEW PubMed, MEDLINE, EMBASE, CENTRAL (Cochrane Central Register of Controlled Trials), ClinicalTrials.gov , and ISRCTN (International Standard Randomized Controlled Trial Number Register) were searched from inception to January 31, 2022. Meta-analyses were conducted using R software. FINDINGS Twelve cohort studies with 1,672 participants and 1,513 ovarian cysts were included. The rates of simple cysts remaining unchanged (38.90%; 95% CI, 19.79%-59.85%; P < 0.01) or disappearing (34.17%; 95% CI, 19.13%-50.93%; P < 0.01) were the highest during conservative observation. The surgery rate for the simple cyst was 19.04% (95% CI, 8.19%-32.92%; P < 0.01). The malignancy rate (including borderline tumors) was very low, approximately 1/10,000 (95% CI, 0% to 0.23%; P = 0.79). CONCLUSIONS Simple ovarian cysts in postmenopausal women were most likely to remain unchanged or disappear during follow-up. The malignancy rate was approximately 1 in 10,000. Personal preference is the most common reason for surgery.
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Guarino M, La Bella S, Santoro M, Caposiena D, Di Lembo E, Chiarelli F, Iannetti G. The Leading Role of Brain and Abdominal Radiological Features in the Work-Up of Anti-NMDAR Encephalitis in Children: An Up-To-Date Review. Brain Sci 2023; 13:brainsci13040662. [PMID: 37190627 DOI: 10.3390/brainsci13040662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 04/13/2023] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis (NMDARe) is the most common cause of nonviral encephalitis, mostly affecting young women and adolescents with a strong female predominance (F/M ratio of around 4:1). NMDARe is characterized by the presence of cerebrospinal fluid (CSF) antibodies against NMDARs, even though its pathophysiological mechanisms have not totally been clarified. The clinical phenotype of NMDARe is composed of both severe neurological and neuropsychiatric symptoms, including generalized seizures with desaturations, behavioral abnormalities, and movement disorders. NMDARe is often a paraneoplastic illness, mainly due to the common presence of concomitant ovarian teratomas in young women. Abdominal ultrasonography (US) is a key imaging technique that should always be performed in suspected patients. The timely use of abdominal US and the peculiar radiological features observed in NMDARe may allow for a quick diagnosis and a good prognosis, with rapid improvement after the resection of the tumor and the correct drug therapy.
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Affiliation(s)
- Miriana Guarino
- Department of Pediatrics, University of Chieti-Pescara "G. D'Annunzio", Via Dei Vestini 5, Ospedale Clinicizzato Chieti (CH), 66100 Chieti, Italy
| | - Saverio La Bella
- Department of Pediatrics, University of Chieti-Pescara "G. D'Annunzio", Via Dei Vestini 5, Ospedale Clinicizzato Chieti (CH), 66100 Chieti, Italy
| | - Marco Santoro
- Department of Radiology, Pescara Public Hospital "Santo Spirito", 65124 Pescara, Italy
| | - Daniele Caposiena
- Department of Radiology, Pescara Public Hospital "Santo Spirito", 65124 Pescara, Italy
| | - Enza Di Lembo
- Department of Internist Ultrasound, Pescara Public Hospital "Santo Spirito", 65124 Pescara, Italy
| | - Francesco Chiarelli
- Department of Pediatrics, University of Chieti-Pescara "G. D'Annunzio", Via Dei Vestini 5, Ospedale Clinicizzato Chieti (CH), 66100 Chieti, Italy
| | - Giovanni Iannetti
- Department of Internist Ultrasound, Pescara Public Hospital "Santo Spirito", 65124 Pescara, Italy
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Zarei F, Khatamizadeh N, Zeinali-Rafsanjani B. Assessment of the Adherence of Radiologists in Reporting the Ovarian Cysts to the 2010 Society of Radiologists in Ultrasound Guidelines. J Med Ultrasound 2023; 31:107-111. [PMID: 37576420 PMCID: PMC10413409 DOI: 10.4103/jmu.jmu_137_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 12/20/2021] [Accepted: 05/03/2022] [Indexed: 08/15/2023] Open
Abstract
Background The objective of this study was to determine the adherence of radiologists to the guideline of the Society of Radiologists in Ultrasound (SRU)-2010 for the follow-up of ovarian cysts in patients during 2015-2016. Methods The patients' data, referring for transvaginal and pelvic ultrasonography, suffering from ovarian cyst were assessed in terms of menopause status, cyst size, and type, as well as follow-ups recommended by radiologist to assess the adherence of reports to SRU-2010. Results Three hundred and sixty-four sonography reports were investigated. Seventy-seven percent of the reports had adhered to SRU-2010, 9.9% and 9.1% had under/overmanagement, and 4.1% was incomplete. 94.2% and 5.8% of cases were in pre/postmenopause status, respectively. The highest adherence belonged to cysts in size <1 cm, 1-3 cm, 5-7 cm. The highest adherence, over/undermanagement, and incomplete reports belonged to corpus luteum, hemorrhagic, dermoid cysts, and nodules without flow. The adherence of sonography reports to SRU-2010 for accidental ovarian cysts was 76.9%. Conclusion The tendency for overmanagement of simple cysts in premenopausal women and the tendency for undermanagement in simple cysts and in postmenopausal women were higher, respectively. It is expected that more training of the guideline to radiologists will lead to the reduction of unnecessary follow-up, which in turn leads to reduced patient's anxiety and cost of treatment.
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Affiliation(s)
- Fariba Zarei
- Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Radiology, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Banafsheh Zeinali-Rafsanjani
- Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
- Nuclear Medicine and Molecular Imaging Research Center, Namazi Teaching Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
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25
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Phillips CH, Guo Y, Strachowski LM, Jha P, Reinhold C, Andreotti RF. The Ovarian/Adnexal Reporting and Data System for Ultrasound: From Standardized Terminology to Optimal Risk Assessment and Management. Can Assoc Radiol J 2023; 74:44-57. [PMID: 35831958 DOI: 10.1177/08465371221108057] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) lexicon and risk assessment tool for ultrasound (US) provides a framework for characterization of ovarian and adnexal pathology with the ultimate goal of harmonizing reporting and patient management strategies. Since the first O-RADS US publication in 2018, multiple validation studies have shown O-RADS US to have excellent diagnostic accuracy, with the majority of these studies using O-RADS 4 as the optimal cut-off for detecting ovarian cancer. Most of the existing validation studies include a dedicated training phase and confirm that ORADS US categories and lexicon descriptors are associated with high level inter-read agreement, regardless of radiologist training level or practice experience. O-RADS US has a similar inter-reader agreement when compared to Gynecologic Imaging Reporting and Data System (GIRADS), Assessment of Different Neoplasias in the adnexa (ADNEX), and International Tumor Analysis Group (IOTA) simple rules. System descriptors have been shown to correlate with expected malignancy rates and the O-RADS US risk stratification system has been shown to perform in the expected range of malignancy risk per category. Further directions will focus on clarifying governing concepts and lexicon terminology as well as further refining risk stratification categories based on data from published validation studies.
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Affiliation(s)
- Catherine H Phillips
- Department of Radiology and Radiological Sciences, 612495Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yang Guo
- Department of Radiology, 381760Brigham and Women's Hospital, Boston, MA, USA
| | - Loretta M Strachowski
- Department of Radiology and Biomedical Imaging, Department of Obstetrics, Gynecology, and Reproductive Sciences, 192653University of California, San Francisco, CA, USA
| | - Priyanka Jha
- Department of Radiology and Biomedical Imaging, 192653University of California, San Francisco, CA, USA
| | - Caroline Reinhold
- Department of Radiology, McGill University Health Centre, 54473McGill University, Montreal, QC, Canada.,Co-Director, Augmented Intelligence Precision Health Laboratory, Research Institute of the McGill University Health Center, Montreal, Canada.,Montreal Imaging Experts Inc., Montreal, Canada
| | - Rochelle F Andreotti
- Department of Radiology and Radiological Sciences, Department of Obstetrics and Gynecology, 612495Vanderbilt University Medical Center, Nashville, TN, USA
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26
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Levine D, Patel MD. Ovarian-Adnexal Reporting and Data System for Ultrasound: A Framework for Improvement. Can Assoc Radiol J 2023; 74:18-19. [PMID: 36113072 DOI: 10.1177/08465371221126045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Affiliation(s)
- Deborah Levine
- Department of Radiology, Harvard Medical School, 1859Beth Israel Deaconess Medical School, Boston, MA, USA
| | - Maitray D Patel
- Department of Radiology, Associate Chair of Education, 384840Mayo Clinic College of Medicine and Science, Phoenix, AZ, USA
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Wu M, Wang Q, Zhang M, Cao J, Chen Y, Zheng J, Luo L, Su M, Lin X, Kuang X, Zhang X. Does Combing O-RADS US and CA-125 Improve Diagnostic Accuracy in Assessing Adnexal Malignancy Risk in Women With Different Menopausal Status? JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023; 42:675-685. [PMID: 35880406 DOI: 10.1002/jum.16065] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 07/03/2022] [Accepted: 07/10/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVES To evaluate the individual and combined performances of the Ovarian-adnexal Reporting and Data System Ultrasound (O-RADS US) and serum cancer antigen 125 (CA-125) in assessing adnexal malignancy risk in women with different menopausal status. METHODS This retrospective study included patients with adnexal masses scheduled for surgery based on their preoperative US and histopathology results between January 2018 and January 2020. O-RADS were used to assess adnexal malignancy by two experienced radiologists. The area under the receiver operating characteristic curves (AUCs) were used to compare the accuracy of O-RADS and a combination of O-RADS and CA-125. The weighted κ index was used to evaluate the inter-reviewer agreement. RESULTS Overall, the data of 443 lesions in 443 patients were included, involving 312 benign lesions and 131 malignant lesions. There were 361 premenopausal and 82 postmenopausal patients. The inter-reviewer agreement for the two radiologists was very good (weighted κ: 0.833). Combing O-RADS US and CA-125 significantly increased diagnostic accuracy for classifying malignant from benign adnexal masses, compared with O-RADS US alone (AUC: 0.97 vs 0.95, P < .001 for premenopausal population and AUC: 0.93 vs 0.85, P < .001 for postmenopausal population). The AUCs of O-RADS with and without CA-125 ranged from 0.50 to 0.99 for different adnexal pathology subtypes (ie, benign, borderline, Stage I-IV, and metastatic tumors). CONCLUSION The addition of CA-125 helps improve discrimination of O-RADS US between benign and malignant adnexal masses, especially in postmenopausal women.
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Affiliation(s)
- Manli Wu
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Qingjuan Wang
- Department of Ultrasound, Third Hospital of Longgang, Shenzhen, Guangdong Province, China
| | - Man Zhang
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Junyan Cao
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Ying Chen
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Jian Zheng
- Department of Ultrasound, Third Hospital of Longgang, Shenzhen, Guangdong Province, China
| | - Liping Luo
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Manting Su
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Xin Lin
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Xiaohong Kuang
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Xinling Zhang
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
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Aslan S, Tosun SA. Diagnostic accuracy and validity of the O-RADS MRI score based on a simplified MRI protocol: a single tertiary center retrospective study. Acta Radiol 2023; 64:377-386. [PMID: 34839677 DOI: 10.1177/02841851211060413] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Adnexal masses (AM) are a common gynecological problem. It is important to use a reliable imaging method in the differentiation of benign and malignant AMs. PURPOSE To assess the accuracy and validity of the O-RADS magnetic resonance imaging (MRI) score for characterizing AM using a simplified MRI protocol. MATERIAL AND METHODS The study population comprised 332 women who underwent MRI due to the detection of indeterminate AM on ultrasonography between January 2018 and June 2020. An experienced radiologist calculated the O-RADS MRI score into five categories, using an MRI protocol with a simplified dynamic study. Sensitivity, specificity, positive and negative predictive values, and area under the curve (AUC) were calculated (cutoff for malignancy, score ≥ 4). The reference standard was histopathologic diagnosis or imaging findings during >24 months of follow-up. RESULTS Of 237 AMs, 28 (11.9%) were malignant. The malignancy rates of AMs with scores of 1, 2, 3, 4, and 5 were 0% (0/12), 0% (0/111), 1.2% (1/77), 50% (10/20), and 100% (17/17), respectively. The O-RADS MRI score showed 96.3% sensitivity, 95.2% specificity, and 95.3% accuracy in malignancy prediction. The AUC for the differentiation of benign and malignant masses were 0.983. False positivity rate was high in cases with an O-RADS MRI score of 4 (50%). CONCLUSION The O-RADS MRI score, based on a simplified MRI protocol, has high accuracy and validity in distinguishing benign from malignant sonographically indeterminate AMs. Its use in clinical practice can classify the malignancy risks of masses and prevent unnecessary surgery in benign lesions.
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Affiliation(s)
- Serdar Aslan
- Department of Radiology, 485533Giresun University Faculty of Medicine, Giresun, Turkey
| | - Sebnem Alanya Tosun
- Department of Obstetrics and Gynecology, 485533Giresun University Faculty of Medicine, Giresun, Turkey
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Wang H, Wang L, An S, Ma Q, Tu Y, Shang N, Pan Y. American college of radiology ovarian-adnexal reporting and data system ultrasound (O-RADS): Diagnostic performance and inter-reviewer agreement for ovarian masses in children. Front Pediatr 2023; 11:1091735. [PMID: 36969276 PMCID: PMC10030612 DOI: 10.3389/fped.2023.1091735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 02/20/2023] [Indexed: 03/29/2023] Open
Abstract
Objective To evaluate the diagnostic performance and inter-observer agreement of the American College of Radiology Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS) in the diagnosis of ovarian masses in children. Methods From June 2012 to December 2021, 163 ovarian masses in 159 patients with pathologic results were retrospectively analyzed. Each mass was classified into an O-RADS category according to the criteria. The diagnostic performance of O-RADS for detecting malignant ovarian masses was assessed using histopathology as the reference standard. Kappa (k) statistic was used to assess inter-observer agreement between a less-experienced and a well-experienced radiologist. Results Out of 163 ovarian masses, 18 (11.0%) were malignant and 145 (89.0%) were benign. The malignancy rates of O-RADS 5, O-RADS 4, and O-RADS 3 masses were 72.7%, 34.6%, and 4.8%, respectively. The area under the receiver operating characteristic curve was 0.944 (95% CI, 0.908-0.981). The optimal cutoff value for predicting malignant ovarian masses was > O-RADS 3 with a sensitivity, specificity, and accuracy of 94.4%, 86.2% and 86.2% respectively. The inter-observer agreement of the O-RADS category was good (k = 0.777). Conclusions O-RADS has a high diagnostic performance for children with ovarian masses. It provides an effective malignant risk classification for ovarian masses in children, which shows high consistency between radiologists with different levels of experience.
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Arezzo F, Cormio G, La Forgia D, Santarsiero CM, Mongelli M, Lombardi C, Cazzato G, Cicinelli E, Loizzi V. A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients. Arch Gynecol Obstet 2022; 306:2143-2154. [PMID: 35532797 PMCID: PMC9633520 DOI: 10.1007/s00404-022-06578-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/12/2022] [Indexed: 02/05/2023]
Abstract
In a growing number of social and clinical scenarios, machine learning (ML) is emerging as a promising tool for implementing complex multi-parametric decision-making algorithms. Regarding ovarian cancer (OC), despite the standardization of features that can support the discrimination of ovarian masses into benign and malignant, there is a lack of accurate predictive modeling based on ultrasound (US) examination for progression-free survival (PFS). This retrospective observational study analyzed patients with epithelial ovarian cancer (EOC) who were followed in a tertiary center from 2018 to 2019. Demographic features, clinical characteristics, information about the surgery and post-surgery histopathology were collected. Additionally, we recorded data about US examinations according to the International Ovarian Tumor Analysis (IOTA) classification. Our study aimed to realize a tool to predict 12 month PFS in patients with OC based on a ML algorithm applied to gynecological ultrasound assessment. Proper feature selection was used to determine an attribute core set. Three different machine learning algorithms, namely Logistic Regression (LR), Random Forest (RFF), and K-nearest neighbors (KNN), were then trained and validated with five-fold cross-validation to predict 12 month PFS. Our analysis included n. 64 patients and 12 month PFS was achieved by 46/64 patients (71.9%). The attribute core set used to train machine learning algorithms included age, menopause, CA-125 value, histotype, FIGO stage and US characteristics, such as major lesion diameter, side, echogenicity, color score, major solid component diameter, presence of carcinosis. RFF showed the best performance (accuracy 93.7%, precision 90%, recall 90%, area under receiver operating characteristic curve (AUROC) 0.92). We developed an accurate ML model to predict 12 month PFS.
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Affiliation(s)
- Francesca Arezzo
- Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Gennaro Cormio
- Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Daniele La Forgia
- Department of Breast Radiology, Giovanni Paolo II I.R.C.C.S. Cancer Institute, via Orazio Flacco 65, 70124 Bari, Italy
| | - Carla Mariaflavia Santarsiero
- Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Michele Mongelli
- Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Claudio Lombardi
- Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Gerardo Cazzato
- Department of Emergency and Organ Transplantation, Pathology Section, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Ettore Cicinelli
- Department of Biomedical Sciences and Human Oncology, Obstetrics and Gynecology Unit, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Vera Loizzi
- Interdisciplinar Department of Medicine, Obstetrics and Gynecology Unit, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
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Abstract
Endometriosis affects approximately 190 million women and people assigned female at birth worldwide. It is a chronic, inflammatory, gynecologic disease marked by the presence of endometrial-like tissue outside the uterus, which in many patients is associated with debilitating painful symptoms. Patients with endometriosis are also at greater risk of infertility, emergence of fatigue, multisite pain, and other comorbidities. Thus, endometriosis is best understood as a condition with variable presentation and effects at multiple life stages. A long diagnostic delay after symptom onset is common, and persistence and recurrence of symptoms despite treatment is common. This review discusses the potential genetic, hormonal, and immunologic factors that lead to endometriosis, with a focus on current diagnostic and management strategies for gynecologists, general practitioners, and clinicians specializing in conditions for which patients with endometriosis are at higher risk. It examines evidence supporting the different surgical, pharmacologic, and non-pharmacologic approaches to treating patients with endometriosis and presents an easy to adopt step-by-step management strategy. As endometriosis is a multisystem disease, patients with the condition should ideally be offered a personalized, multimodal, interdisciplinary treatment approach. A priority for future discovery is determining clinically informative sub-classifications of endometriosis that predict prognosis and enhance treatment prioritization.
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Affiliation(s)
- Andrew W Horne
- EXPPECT Edinburgh and MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - Stacey A Missmer
- Michigan State University, Grand Rapids, MI, USA
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Mohamadian A, Moradi B. Simplified Approach for Ovarian-Adnexal Reporting and Data System MRI Risk Stratification System. Korean J Radiol 2022; 23:1115-1117. [PMID: 36305050 PMCID: PMC9614288 DOI: 10.3348/kjr.2022.0489] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/18/2022] [Accepted: 10/03/2022] [Indexed: 11/06/2022] Open
Affiliation(s)
- Alireza Mohamadian
- Department of Radiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
| | - Behnaz Moradi
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
- Department of Radiology, Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
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Suh-Burgmann E, Nakhaei M, Gupta S, Brook A, Hecht J, Hung YY, Levine D. Ovarian Cystadenomas: Growth Rate and Reliability of Imaging Measurements. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2022; 41:2157-2167. [PMID: 34846072 DOI: 10.1002/jum.15895] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 10/04/2021] [Accepted: 10/07/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVES To evaluate the growth rate of benign ovarian cystadenomas and the degree of variability in ultrasound measurements. METHODS Two independent retrospective cohorts of women found to have benign cystadenomas at surgery were identified. To assess growth rate, ultrasounds on women in a community-based health system were reviewed and the growth rate was determined based on the maximum reported size dimension using a mixed effect model. To assess measurement variability, two radiologists independently measured presurgical adnexal imaging findings for women in a tertiary care referral setting. Interobserver, intra-observer, and intermodality (cine clip versus still images) variability in measurements was determined using correlation coefficients (CC) and Bland-Altman analysis, with the proportion of measurements varying by more than 1 cm calculated. RESULTS For growth rate assessment, 405 women with 1412 ultrasound examinations were identified. The median growth rate was 0.65 cm/year with mucinous cystadenomas growing faster at 0.83 cm/year compared to 0.51 cm/year for serous cystadenomas (median test P < .0001). To evaluate measurement variability, 75 women were identified with 176 ultrasound studies. The within-subject standard deviations for ultrasound measurements were 0.74 cm for cine clip images and 0.41 cm for static images, with 11% of measurements overall differing by more than 1 cm. CONCLUSIONS Cystadenomas grow on average 0.65 cm/year, which is similar in magnitude to the inherent error observed in measurement on ultrasound, suggesting that repeat ultrasound at intervals of longer than a year will often be needed to accurately assess growth if a cyst represents a benign cystadenoma.
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Affiliation(s)
- Elizabeth Suh-Burgmann
- Division of Gynecologic Oncology, The Permanente Medical Group, Walnut Creek, CA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Masoud Nakhaei
- Department of Radiology, Beth Israel Lahey Health, Boston, MA, USA
| | - Sonia Gupta
- Department of Radiology, Beth Israel Lahey Health, Boston, MA, USA
| | - Alexander Brook
- Department of Radiology, Beth Israel Lahey Health, Boston, MA, USA
| | - Jonathan Hecht
- Department of Radiology, Beth Israel Lahey Health, Boston, MA, USA
| | - Yun-Yi Hung
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Deborah Levine
- Department of Radiology, Beth Israel Lahey Health, Boston, MA, USA
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Shibata A. Point-of-care ultrasound for abdominal pain in obstetrics and gynecological diseases. J Med Ultrason (2001) 2022; 49:629-637. [PMID: 35689711 DOI: 10.1007/s10396-022-01218-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 03/29/2022] [Indexed: 11/25/2022]
Abstract
Ultrasound is a minimally invasive technique recommended for the evaluation of abdominal pain in young, premenopausal women and pregnant women. Ectopic pregnancy, ovarian cyst torsion, ovarian hemorrhage, myoma degeneration, and pyometra can be detected with point-of-care ultrasound (POCUS) in the case of acute abdominal pain. This article describes the utility of POCUS in females with abdominal pain in obstetrics and gynecological diseases.
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Affiliation(s)
- Ayako Shibata
- Obstetrics and Gynecology, Yodogawa Christian Hospital, 1-7-50 Kunijima, Higashiyodogawa-ku, Osaka, 533-0024, Japan.
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Alcala JMF, Mussi TC, Raiza LCP, Baroni RH. T2-weighted imaging hypointensity in an ovarian lesion: is it a benign finding? EINSTEIN-SAO PAULO 2022; 20:eAO6851. [PMID: 35649059 PMCID: PMC9126602 DOI: 10.31744/einstein_journal/2022ao6851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 11/24/2021] [Indexed: 12/24/2022] Open
Abstract
Objective To evaluate whether the presence of a hypointense signal at T2-weighted imaging in a solid ovarian lesion on magnetic resonance imaging is a predictor of stability and benignity. Methods This is a single center study, prospectively read with retrospective acquired data. The database was searched for patients who underwent magnetic resonance imaging between January 2008 and October 2019 and whose reports mentioned solid ovarian lesions with low signal on T2-weighted imaging. A total of 47 nodules were included. A radiologist who was blinded to the clinical indication for magnetic resonance imaging and original reports evaluated the cases. Objective and subjective criteria of ovarian lesions in magnetic resonance imaging were evaluated. Results Thirty-five nodules were considered benign/stable and 12 were considered non-stable. The analysis showed that the non-stable lesions showed statistically more hyperintensity at T1-weighted imaging compared to the stable lesions. Conclusion T2-weighted imaging hypointensity can be considered a predictor of stability in solid ovarian lesions when associated with iso/hypointensity in T1-weighted imaging.
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Wang PS, Schoeck OG, Horrow MM. Benign-appearing Incidental Adnexal Cysts at US, CT, and MRI: Putting the ACR, O-RADS, and SRU Guidelines All Together. Radiographics 2022; 42:609-624. [PMID: 35061515 DOI: 10.1148/rg.210091] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Adnexal cysts are a common incidental finding at US, CT, and MRI but have historically caused a diagnostic dilemma for determining when to follow up and how to manage them. Characteristic imaging features of simple adnexal cysts include a simple fluid collection with smooth walls and no solid or vascular components. Day-to-day practice guidelines were recently updated to reflect the overwhelming evidence that incidental cystic adnexal masses are almost always benign. Three major consensus articles on adnexal cystic masses were published between 2019 and 2020: the Society of Radiologists in Ultrasound (SRU) consensus update on adnexal cysts, the Ovarian-Adnexal Reporting and Data System (O-RADS) US consensus guideline, and the American College of Radiology (ACR) white paper on the management for incidental adnexal findings at CT and MRI. All three standardize reporting terminology, are based on evidence-based data and institutional practice patterns, and apply to nonpregnant women of average risk for ovarian cancer. While there are small differences in follow-up recommendations based on size thresholds, the goal of each is the same-to limit unnecessary imaging follow-up and, by doing so, save the patient time, money, and anxiety. For the diagnostic radiologist to use these guidelines, it is essential that the entire mass is visualized well. Without adequate visualization, further characterization of the mass may be necessary. To put it all together, the SRU consensus guideline and ACR white paper are easily applied in day-to-day practice for masses that are O-RADS 2 and below. An invited commentary by Patel is available online. The online slide presentation from the RSNA Annual Meeting is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Peter S Wang
- From the Department of Diagnostic Radiology, Einstein Healthcare Network, 5501 Old York Rd, Philadelphia, PA 19141-3098
| | - Otto G Schoeck
- From the Department of Diagnostic Radiology, Einstein Healthcare Network, 5501 Old York Rd, Philadelphia, PA 19141-3098
| | - Mindy M Horrow
- From the Department of Diagnostic Radiology, Einstein Healthcare Network, 5501 Old York Rd, Philadelphia, PA 19141-3098
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Xiao F, Zhang L, Yang S, Peng K, Hua T, Tang G. Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors. J Ovarian Res 2022; 15:13. [PMID: 35062992 PMCID: PMC8783416 DOI: 10.1186/s13048-021-00920-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 09/06/2021] [Indexed: 12/12/2022] Open
Abstract
Objective This study aims to investigate the value of the quantitative indicators of MRI in the differential diagnoses of benign, borderline, and malignant epithelial ovarian tumors (EOTs). Materials and methods The study population comprised 477 women with 513 masses who underwent MRI and operation, including benign EOTs (BeEOTs), borderline EOTs (BEOTs), and malignant EOTs (MEOTs). The clinical information and MRI findings of the three groups were compared. Then, multivariate logistic regression analysis was performed to find the independent diagnostic factors. The receiver operating characteristic (ROC) curves were also used to evaluate the diagnostic performance of the quantitative indicators of MRI and clinical information in differentiating BeEOTs from BEOTs or differentiating BEOTs from MEOTs. Results The MEOTs likely involved postmenopausal women and showed higher CA-125, HE4 levels, ROMA indices, peritoneal carcinomatosis and bilateral involvement than BeEOTs and BEOTs. Compared with BEOTs, BeEOTs and MEOTs appeared to be more frequently oligocystic (P < 0.001). BeEOTs were more likely to show mild enhancement (P < 0.001) and less ascites (P = 0.003) than BEOTs and MEOTs. In the quantitative indicators of MRI, BeEOTs usually showed thin-walled cysts and no solid component. BEOTs displayed irregular thickened wall and less solid portion. MEOTs were more frequently characterized as solid or predominantly solid mass (P < 0.001) than BeEOTs and BEOTs. The multivariate logistic regression analysis showed that volume of the solid portion (P = 0.006), maximum diameter of the solid portion (P = 0.038), enhancement degrees (P < 0.001), and peritoneal carcinomatosis (P = 0.011) were significant indicators for the differential diagnosis of the three groups. The area under the curves (AUCs) of above indicators and combination of four image features except peritoneal carcinomatosis for the differential diagnosis of BeEOTs and BEOTs, BEOTs and MEOTs ranged from 0.74 to 0.85, 0.58 to 0.79, respectively. Conclusion In this study, the characteristics of MRI can provide objective quantitative indicators for the accurate imaging diagnosis of three categories of EOTs and are helpful for clinical decision-making. Among these MRI characteristics, the volume, diameter, and enhancement degrees of the solid portion showed good diagnostic performance.
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Role of MRI in characterizing serous borderline ovarian tumor and its subtypes: Correlation of MRI features with clinicopathological characteristics. Eur J Radiol 2021; 147:110112. [PMID: 34972058 DOI: 10.1016/j.ejrad.2021.110112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 12/03/2021] [Accepted: 12/16/2021] [Indexed: 11/20/2022]
Abstract
PURPOSE This study aimed to investigate the diagnostic value of MRI in serous borderline ovarian tumor (SBOT), and to determine the MRI features of SBOT and their correlations with clinicopathological characteristics. MATERIALS AND METHODS A total of 121 patients suspected of SBOT by preoperative MRI and then underwent surgery at our hospital were retrospectively reviewed. The accuracy of MRI in diagnosing SBOT was assessed. MRI features of the SBOT subtypes were compared and their correlations with clinicopathological characteristics were evaluated. RESULTS SBOT was confirmed by postoperative pathology in 95 patients, including 77 patients with conventional SBOT (SBOT-C) and 18 patients with micropapillary SBOT (SBOT-MP). The accuracy of MRI in diagnosing SBOT was 87.6%. Three MRI morphological patterns of SBOT were identified: (i) mainly solid, (ii) mainly cystic, and (iii) mixed. Branching papillary architecture and internal branching (PA&IB) structures corresponding to multiple branching papillary projections and internal fibrous stalks in tumors were observed in 69.7% of SBOTs on T2-weighted images. MRI findings were consistent with postoperative pathology. Compared with SBOT-C, patients with SBOT-MP were more likely to display elevated cancer antigen 125, bilateral tumors, peritoneal implantation, lymph node metastasis, and advanced tumor staging. No significant differences were observed in MRI features between SBOT-C and SBOT-MP groups. CONCLUSION MRI has good performance in diagnosing SBOT. MRI findings of SBOT are consistent with clinicopathological characteristics. The PA&IB structure is the characteristic MRI finding of SBOT. Compared to SBOT-C, SBOT-MP tends to display more aggressive clinical behavior, but their MRI features are similar.
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Solis Cano DG, Cervantes Flores HA, De Los Santos Farrera O, Guzman Martinez NB, Soria Céspedes D. Sensitivity and Specificity of Ultrasonography Using Ovarian-Adnexal Reporting and Data System Classification Versus Pathology Findings for Ovarian Cancer. Cureus 2021; 13:e17646. [PMID: 34650841 PMCID: PMC8489358 DOI: 10.7759/cureus.17646] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/01/2021] [Indexed: 01/16/2023] Open
Abstract
Background One of the limiting factors for early diagnosis of ovarian neoplasms is the lack of standardized terminology for ultrasound. The Ovarian-Adnexal Reporting and Data System (O-RADS) classification aimed to reduce variability between observers and facilitate communication with attending physicians. Recent studies show that O-RADS has higher sensitivity (96.8%) and specificity (92.8%) compared to other classifications. However, to date, there are no reports on O-RADS correlation with pathology findings. Objectives To determine sensitivity and specificity of ultrasound, as a tool for detecting malignant ovarian neoplasms, using the O-RADS compared to pathology reports. Materials and methods We evaluated 73 transvaginal ultrasound records with adnexal masses and applied the O-RADS system. Then, we compared against definitive histopathology diagnosis. We calculated sensitivity and specificity using SPSS. Results O-RADS sensitivity for detection of ovarian cancer was 52%, with a specificity of 84%, negative predictive value of 79%, and positive predictive value of 60%, with an accuracy of 73%. Conclusions In our study, O-RADS classification yielded a higher specificity than sensitivity for malignant vs. benign findings. Hence, we propose that this classification could be useful for tailoring treatment appropriately. O-RADS 0 to 2 may benefit from conservative treatment while O-RADS 3 to 5 may require surgical treatment.
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Affiliation(s)
- Dania Guadalupe Solis Cano
- Radiology, Centro Médico ABC, The American British Cowdray Medical Center, Ciudad de México, MEX.,Health Sciences/Medical Sciences, Universidad Anáhuac México, Ciudad de México, MEX
| | | | | | | | - Danny Soria Céspedes
- Pathology, Centro Médico ABC, The American British Cowdray, Ciudad de México, MEX
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Suh-Burgmann E, Brasic N, Jha P, Hung YY, Goldstein RB. Ultrasound characteristics of early-stage high-grade serous ovarian cancer. Am J Obstet Gynecol 2021; 225:409.e1-409.e8. [PMID: 33992598 DOI: 10.1016/j.ajog.2021.04.262] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/28/2021] [Accepted: 04/30/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Survival from ovarian cancer is strongly dependent on the stage at diagnosis. Therefore, when confronted with a woman with an isolated adnexal mass, clinicians worry about missing the opportunity to detect cancer at an early stage. High-grade serous ovarian cancers account for 80% of ovarian cancer deaths, largely because of their tendency to be diagnosed at a late stage. Among adnexal masses, large size and the presence of solid areas on ultrasound examination have been found to be associated with cancer, but it is unclear whether these characteristics identify early-stage cases. OBJECTIVE This study aimed to evaluate the ultrasound findings associated with clinically detected early-stage high-grade serous ovarian cancer. STUDY DESIGN This was a retrospective cohort study of women diagnosed with stage I or II high-grade serous ovarian or fallopian tube cancer measuring at least 1 cm at pathology from 2007 to 2017. Preoperative ultrasound examinations were independently reviewed by 3 radiologists. Adnexal masses were scored for size and volume; overall appearance; presence, thickness, and vascularity of septations; morphology and vascularity of other solid components; and degree of ascites. Characteristics were compared between masses of <5 cm and larger masses and between stage I and stage II cases. Interobserver variability was assessed. RESULTS Among 111 women identified, 4 had bilateral ovarian involvement, for a total of 115 adnexal masses characterized by ultrasound examination. The mean age at diagnosis was 61.8 years (range, 42-91 years). The median mass size was 9.6 cm (range, 2.2-23.6 cm) with 87% of cases having a mass size of ≥5 cm. A mixed cystic and solid appearance was most common (77.4%), but a completely solid appearance was more frequently seen for tumors of <5 cm compared with larger tumors (26.7% vs 13.0%). Solid components other than septations were seen in 97.4% of cases. The characteristics of stage I and II cases were similar other than ascites, which was more commonly seen in stage II cases (18.0% vs 3.1%, respectively). Interobserver concordance was high for size and volume measurements (correlation coefficients, 0.96-0.99), with moderate agreement observed across the other ultrasound characteristics (Fleiss kappa, 0.45-0.58). CONCLUSION In this community-based cohort, early-stage high-grade serous cancers rarely presented as masses of <5 cm or masses without solid components other than septations. Our findings provide additional support for the observation of small masses without solid areas on ultrasound examination.
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Arezzo F, Loizzi V, La Forgia D, Moschetta M, Tagliafico AS, Cataldo V, Kawosha AA, Venerito V, Cazzato G, Ingravallo G, Resta L, Cicinelli E, Cormio G. Radiomics Analysis in Ovarian Cancer: A Narrative Review. APPLIED SCIENCES 2021; 11:7833. [DOI: 10.3390/app11177833] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2024]
Abstract
Ovarian cancer (OC) is the second most common gynecological malignancy, accounting for about 14,000 deaths in 2020 in the US. The recognition of tools for proper screening, early diagnosis, and prognosis of OC is still lagging. The application of methods such as radiomics to medical images such as ultrasound scan (US), computed tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET) in OC may help to realize so-called “precision medicine” by developing new quantification metrics linking qualitative and/or quantitative data imaging to achieve clinical diagnostic endpoints. This narrative review aims to summarize the applications of radiomics as a support in the management of a complex pathology such as ovarian cancer. We give an insight into the current evidence on radiomics applied to different imaging methods.
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Affiliation(s)
- Francesca Arezzo
- Obstetrics and Gynecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Vera Loizzi
- Obstetrics and Gynecology Unit, Interdisciplinar Department of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Daniele La Forgia
- SSD Radiodiagnostica Senologica, IRCCS Istituto Tumori Giovanni Paolo II, Via Orazio Flacco 65, 70124 Bari, Italy
| | - Marco Moschetta
- Breast Care Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Alberto Stefano Tagliafico
- Radiology Section, Department of Health Sciences (DISSAL), University of Genova, Via L.B. Alberti 2, 16132 Genoa, Italy
| | - Viviana Cataldo
- Obstetrics and Gynecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Adam Abdulwakil Kawosha
- Department of General Medicine, Universitatea Medicina si Farmacie Grigore T Popa, Strada Universitatii 16, 700115 Iasi, Romania
| | - Vincenzo Venerito
- Rheumatology Unit, Department of Emergency and Organ Transplantations, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Gerardo Cazzato
- Pathology Section, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Giuseppe Ingravallo
- Pathology Section, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Leonardo Resta
- Pathology Section, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Ettore Cicinelli
- Obstetrics and Gynecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Gennaro Cormio
- Obstetrics and Gynecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
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Harringa JB, Bracken RL, Markhardt BK, Ziemlewicz TJ, Lubner M, Chiu A, Birstler J, Pickhardt PJ, Reeder SB, Repplinger MD. Magnetic resonance imaging versus computed tomography and ultrasound for the diagnosis of female pelvic pathology. Emerg Radiol 2021; 28:789-796. [PMID: 33730220 PMCID: PMC11491055 DOI: 10.1007/s10140-021-01923-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 02/25/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES We sought to determine the diagnostic accuracy of magnetic resonance (MR) imaging compared with computed tomography (CT) and ultrasound (US) when evaluating for five common pelvic pathologies among women presenting to the emergency department (ED) with right lower quadrant abdominal pain. METHODS This prospective, single-center study was conducted at an academic ED as a sub-analysis of a direct comparison of the diagnostic accuracy of CT and MR in the evaluation of appendicitis. Patients were eligible for participation in the parent study if they were at least 12 years old and had a CT performed for evaluation of possible appendicitis. In the current study, only female patients who also underwent pelvic US were included. Three radiologists independently interpreted each MR examination specifically for the presence of pelvic pathology, knowing that patients had initially undergone imaging evaluation for possible appendicitis. The determination of an independent expert panel of two radiologists and one emergency physician based on surgical pathology, comprehensive chart review, clinical information, and follow-up phone calls served as the reference standard. Test characteristics of MR, CT, and US were calculated based on this; the main outcome measure was the summary sensitivity and specificity of MR versus CT and US. RESULTS Forty-one participants were included with a mean age of 27.6 ± 10.8 years. The MR consensus interpretation had an overall sensitivity and specificity of 57.1% (CI 38.8-75.5%) and 97.2% (CI 94.7-99.6%) respectively, for detecting any of the five pelvic pathologies. By comparison, CT exhibited sensitivity and specificity of 66.7% (CI 50.0-83.5%) and 98.3% (CI 96.4-100.0%) while it was 64.3% (CI 46.5-82.0%) and 97.7% (CI 95.6-99.9%) for US, respectively. No significant differences were identified when comparing these modalities. Overall, Fleiss' kappa interrater reliability value for MR interpretation was 0.75, corresponding to substantial agreement between the three readers. CONCLUSIONS In women who might otherwise undergo multiple imaging tests to evaluate gastrointestinal versus pelvic pathologies, our data suggest that MR may be an acceptable first-line imaging test.
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Affiliation(s)
- John B Harringa
- BerbeeWalsh Department of Emergency Medicine, University of Wisconsin - Madison, Madison, Wisconsin, 53706, USA
| | - Rebecca L Bracken
- BerbeeWalsh Department of Emergency Medicine, University of Wisconsin - Madison, Madison, Wisconsin, 53706, USA
| | - B Keegan Markhardt
- Department of Radiology, University of Wisconsin - Madison, Madison, Wisconsin, 53706, USA
| | - Timothy J Ziemlewicz
- Department of Radiology, University of Wisconsin - Madison, Madison, Wisconsin, 53706, USA
| | - Meghan Lubner
- Department of Radiology, University of Wisconsin - Madison, Madison, Wisconsin, 53706, USA
| | - Arthur Chiu
- BerbeeWalsh Department of Emergency Medicine, University of Wisconsin - Madison, Madison, Wisconsin, 53706, USA
| | - Jen Birstler
- Department of Biostatistics and Medical Informatics, University of Wisconsin - Madison, Madison, Wisconsin, 53706, USA
| | - Perry J Pickhardt
- Department of Radiology, University of Wisconsin - Madison, Madison, Wisconsin, 53706, USA
| | - Scott B Reeder
- Department of Radiology, University of Wisconsin - Madison, Madison, Wisconsin, 53706, USA
| | - Michael D Repplinger
- BerbeeWalsh Department of Emergency Medicine, University of Wisconsin - Madison, Madison, Wisconsin, 53706, USA.
- Department of Radiology, University of Wisconsin - Madison, Madison, Wisconsin, 53706, USA.
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Salvador S, Scott S, Glanc P, Eiriksson L, Jang JH, Sebastianelli A, Dean E. Guideline No. 403: Initial Investigation and Management of Adnexal Masses. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2021; 42:1021-1029.e3. [PMID: 32736853 DOI: 10.1016/j.jogc.2019.08.044] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 08/30/2019] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To aid primary care physicians, emergency medicine physicians, and gynaecologists in the initial investigation of adnexal masses, defined as lumps that appear near the uterus or in or around ovaries, fallopian tubes, or surrounding connective tissue, and to outline recommendations for identifying women who would benefit from a referral to a gynaecologic oncologist for further management. INTENDED USERS Gynaecologists, obstetricians, family physicians, general surgeons, emergency medicine specialists, radiologists, sonographers, nurses, medical learners, residents, and fellows. TARGET POPULATION Adult women 18 years of age and older presenting for the evaluation of an adnexal mass. OPTIONS Women with adnexal masses should be assessed for personal risk factors, history, and physical findings. Initial evaluation should also include imaging and laboratory testing to triage women for management of their care either by a gynaecologic oncologist or as per SOGC guideline no. 404 on the initial investigation and management of benign ovarian masses. EVIDENCE A search of PubMed, Cochrane Wiley, and the Cochrane systematic reviews was conducted in January 2018 for English-language materials involving human subjects published since 2000 using three sets of terms: (i) ovarian cancer, ovarian carcinoma, adnexal disease, ovarian neoplasm, adnexal mass, fallopian tube disease, fallopian tube neoplasm, ovarian cyst, and ovarian tumour; (ii) the above terms in combination with predict neoplasm staging, follow-up, and staging; and (iii) the above two sets of terms in combination with ultrasound, tumour marker, CA 125, CEA, CA19-9, HE4, multivariable-index-assay, risk-of-ovarian-malignancy-algorithm, risk-of-malignancy-index, diagnostic imaging, CT, MRI, and PET. Relevant evidence was selected for inclusion in descending order of quality of evidence as follows: meta-analyses, systematic reviews, guidelines, randomized controlled trials, prospective cohort studies, observational studies, non-systematic reviews, case series, and reports. Additional articles were identified through cross-referencing the identified reviews. The total number of studies identified was 2350, with 59 being included in this review. VALIDATION METHODS The content and recommendations were drafted and agreed upon by the authors. The Executive and Board of the Society of Gynecologic Oncology of Canada reviewed the content and submitted comments for consideration. The Board of Directors of the Society of Obstetricians and Gynaecologists of Canada approved the final draft for publication. The quality of evidence was rated using the criteria described in the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology framework (Table A1 of Online Appendix A). See Table A2 of Online Appendix A for the interpretation of strong and weak recommendations. The summary of findings is available upon request. BENEFITS, HARMS, COSTS Adnexal masses are common, and guidelines on how to triage them and manage the care of patients presenting with adnexal masses will continue to guide the practice of primary care providers and gynaecologists. Ovarian cancer outcomes are improved when initial surgery is performed by a gynaecologic oncologist, likely as a result of complete surgical staging and optimal cytoreduction. Given these superior outcomes, guidelines to assist in the triage of adnexal masses and the referral and management of the care of patients with an adnexal mass are critical. SUMMARY STATEMENTS (GRADE RATINGS IN PARENTHESES) RECOMMENDATIONS (GRADE RATINGS IN PARENTHESES).
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Nougaret S, McCague C, Tibermacine H, Vargas HA, Rizzo S, Sala E. Radiomics and radiogenomics in ovarian cancer: a literature review. Abdom Radiol (NY) 2021; 46:2308-2322. [PMID: 33174120 DOI: 10.1007/s00261-020-02820-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 10/01/2020] [Accepted: 10/10/2020] [Indexed: 01/25/2023]
Abstract
Ovarian cancer remains one of the most lethal gynecological cancers in the world despite extensive progress in the areas of chemotherapy and surgery. Many studies have postulated that this is because of the profound heterogeneity that underpins response to therapy and prognosis. Standard imaging evaluation using CT or MRI does not take into account this tumoral heterogeneity especially in advanced stages with peritoneal carcinomatosis. As such, newly emergent fields in the assessment of tumor heterogeneity have been proposed using radiomics to evaluate the whole tumor burden heterogeneity as opposed to single biopsy sampling. This review provides an overview of radiomics, radiogenomics, and proteomics and examines the use of these newly emergent fields in assessing tumor heterogeneity and its implications in ovarian cancer.
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Affiliation(s)
- S Nougaret
- IRCM, Montpellier Cancer Research Institute, INSERM, U1194, University of Montpellier, 208 Ave des Apothicaires, 34295, Montpellier, France. .,Department of Radiology, Montpellier Cancer institute, 208 Ave des Apothicaires, 34295, Montpellier, France.
| | - Cathal McCague
- Department of Radiology, Cambridge Biomedical Campus, Box 218, Cambridge, CB2 0QQ, UK
| | - Hichem Tibermacine
- IRCM, Montpellier Cancer Research Institute, INSERM, U1194, University of Montpellier, 208 Ave des Apothicaires, 34295, Montpellier, France.,Department of Radiology, Montpellier Cancer institute, 208 Ave des Apothicaires, 34295, Montpellier, France
| | - Hebert Alberto Vargas
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Stefania Rizzo
- Istituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900, Lugano, CH, Switzerland.,Facoltà di Scienze Biomediche, Università della Svizzera Italiana, Lugano, CH, Switzerland
| | - E Sala
- Department of Radiology, Cambridge Biomedical Campus, Box 218, Cambridge, CB2 0QQ, UK
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Lupean RA, Ștefan PA, Lebovici A, Csutak C, Rusu GM, Mihu CM. Differentiation of Endometriomas from Hemorrhagic Cysts at Magnetic Resonance: The Role of Quantitative Signal Intensity Measurements. Curr Med Imaging 2021; 17:524-531. [PMID: 33115394 DOI: 10.2174/1573405616999201027211132] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 07/26/2020] [Accepted: 08/12/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Endometriomas and functional hemorrhagic cysts (FHCs) are a common gynecological encounter. OBJECTIVE This study aimed to assess the diagnostic efficiency of magnetic resonance imaging (MRI) using signal intensity measurements in differentiating endometriomas from FHCs. METHODS Forty-six patients who underwent pelvic MRI examinations (endometriomas, n=28; FHCs, n=18) were retrospectively included. The "T2 shading" sign was evaluated subjectively and quantitatively by measuring the T1-T2 signal intensity difference and calculating the percentage of signal decrease between T1 and T2-weighted sequences. The resulted values, along with the measurement of the Apparent Diffusion Coefficient (ADC) and the signal intensity on three diffusion- weighted sequences (DWI) (b50, b400, and b800), were compared between groups by using the Mann-Whitney U test. Also, the receiver operating characteristic analysis was performed for the statistically significant results (P<0.016), and the area under the curve (AUC) was also calculated. RESULTS The two quantitative assessment methods showed similar efficiency in detecting endometriomas (P<0.001; sensitivity, 100%; specificity, 81.82%; AUC>0.86), outperforming the classic subjective evaluation of the "T2 shading" sign (sensitivity, 92.86%; specificity, 66.67%). ADC (P=0.52) and DWI measurements (P=0.49, P=0.74, and P=0.78) failed to distinguish between the two entities. CONCLUSION The quantitative analysis and interpretation of the "T2 shading" sign can significantly improve the differential diagnosis between endometriomas and FHCs.
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Affiliation(s)
- Roxana-Adelina Lupean
- Histology, Morphological Sciences Department, "Iuliu Hațieganu" University of Medicine and Pharmacy; Louis Pasteur street, number 4, Cluj-Napoca, 400349, Cluj, Romania
| | - Paul-Andrei Ștefan
- Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca; Clinicilor street, number 3-5, Cluj-Napoca, 400006, Cluj, Romania
| | - Andrei Lebovici
- Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca; Clinicilor street, number 3-5, Cluj-Napoca, 400006, Cluj, Romania
| | - Csaba Csutak
- Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca; Clinicilor street, number 3-5, Cluj-Napoca, 400006, Cluj, Romania
| | - Georgeta Mihaela Rusu
- Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca; Clinicilor street, number 3-5, Cluj-Napoca, 400006, Cluj, Romania
| | - Carmen Mihaela Mihu
- Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca; Clinicilor street, number 3-5, Cluj-Napoca, 400006, Cluj, Romania
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Stein EB, Roseland ME, Shampain KL, Wasnik AP, Maturen KE. Contemporary Guidelines for Adnexal Mass Imaging: A 2020 Update. Abdom Radiol (NY) 2021; 46:2127-2139. [PMID: 33079254 DOI: 10.1007/s00261-020-02812-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 09/29/2020] [Accepted: 10/07/2020] [Indexed: 12/14/2022]
Abstract
Incidental adnexal masses are commonly encountered at ultrasound, computed tomography, and magnetic resonance imaging. Since many of these lesions are surgically resected and ultimately found to be benign, patients may be exposed to personal and economic costs related to unnecessary oophorectomy. Thus, accurate non-invasive risk stratification of adnexal masses is essential for optimal management and outcomes. Multiple consensus guidelines in radiology have been published to assist in characterization of these masses as benign, indeterminate, or likely malignant. In the last two years, several new and updated stratification systems for assessment of incidental adnexal masses have been published. The purpose of this article is to offer a concise review of four recent publications: ACR 2020 update on the management of incidental adnexal findings on CT and MRI, SRU 2019 consensus update on simple adnexal cysts, O-RADS ultrasound risk stratification system (2020), and O-RADS MRI risk stratification system (2020).
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Affiliation(s)
- Erica B Stein
- Department of Radiology, Michigan Medicine, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA.
| | - Molly E Roseland
- Department of Radiology, Michigan Medicine, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Kimberly L Shampain
- Department of Radiology, Michigan Medicine, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Ashish P Wasnik
- Department of Radiology, Michigan Medicine, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Katherine E Maturen
- Department of Radiology, Michigan Medicine, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA
- Department of Obstetrics & Gynecology, Michigan Medicine, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA
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Hottat NA, Van Pachterbeke C, Vanden Houte K, Denolin V, Jani JC, Cannie MM. Magnetic resonance scoring system for assessment of adnexal masses: added value of diffusion-weighted imaging including apparent diffusion coefficient map. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 57:478-487. [PMID: 32438461 DOI: 10.1002/uog.22090] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 05/01/2020] [Accepted: 05/07/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES To validate prospectively the ADNEX magnetic resonance (MR) scoring system to assess adnexal masses and to evaluate a new, modified ADNEX MR scoring system that incorporates diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping. METHODS Between January 2015 and September 2018, 323 consecutive women with adnexal masses diagnosed on transvaginal ultrasound (TVS) underwent standardized MR imaging (MRI) including diffusion and dynamic contrast-enhanced sequences. Of these, 131 underwent subsequent surgery. For interpretation of the MRI examinations, we applied the five-category ADNEX MR scoring system, along with a modified scoring system including DWI with ADC mapping. For both scoring systems, a score was given for all adnexal masses. Histological diagnosis was considered as the gold standard and lesions were classified as benign or malignant. The difference between the predictive values for diagnosing malignancy of the classical and modified scoring systems was assessed on the basis of the areas under the receiver-operating-characteristics (AUC) curves. The sensitivity and specificity for diagnosing malignancy of each score were also calculated. RESULTS Among the 131 women with adnexal mass(es) diagnosed on TVS who underwent MRI and subsequent surgery, the surgery revealed 161 adnexal masses in 126 women; five women had no mass. Histological examination confirmed 161 adnexal masses, of which all had been detected on MRI: 32 malignant tumors, 15 borderline tumors, which were classified as part of the malignant group (n = 47), and 114 benign lesions. The AUC for prediction of a malignant lesion was 0.938 (95% CI, 0.902-0.975) using the classical ADNEX MR scoring system and 0.974 (95% CI, 0.953-0.996) using the modified scoring system. Pairwise comparison of these AUCs revealed a significant difference (P = 0.0032). The sensitivity and specificity for diagnosing malignancy with an ADNEX MR score of 4 or more were 95.5% and 86.6%, respectively, using the classic scoring system, and 95.7% and 93.3%, respectively, using the modified scoring system. CONCLUSION DWI with ADC mapping could be integrated into the ADNEX MR scoring system to improve specificity, thereby potentially optimizing clinical management by avoiding unnecessary surgery. © 2020 International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- N A Hottat
- Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
- Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - C Van Pachterbeke
- Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - K Vanden Houte
- Department of Pathology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - V Denolin
- Siemens Healthineers, Beersel, Belgium
| | - J C Jani
- Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - M M Cannie
- Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
- Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
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Chandramohan A, Bhat TA, John R, Simon B. Multimodality imaging review of complex pelvic lesions in female pelvis. Br J Radiol 2020; 93:20200489. [DOI: 10.1259/bjr.20200489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Complex pelvic lesions can originate from various anatomical structures in the pelvis and pose a diagnostic dilemma due to a wide range of possible diagnoses. Accurate characterisation of these lesions would often require an algorithmic approach, which incorporates clinical findings, sequential use of multiple imaging modalities and a multiparametric approach. This approach usually aims at identifying key imaging features, which aid in anatomical localisation, morphology and tissue characterisation. There have been various attempts to standardise the lexicon used for describing adnexal masses in female patients; stratify their risk of cancer and suggest appropriate next steps in the management pathway. Through this review, we extend this approach to complex pelvic masses in female pelvis in general and will focus on optimal use of different imaging modalities to arrive at definitive diagnosis or meaningful differential diagnosis. We will also discuss potential pitfalls of imaging diagnosis and common mimics.
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Affiliation(s)
| | | | - Reetu John
- Department of Radiology, Christian Medical College, Vellore, India
| | - Betty Simon
- Department of Radiology, Christian Medical College, Vellore, India
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Abd elsalam SM, Hamed ST, Sayed MAE. Diagnostic performance of GI-RADS reporting system in evaluation of adnexal masses. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2020. [DOI: 10.1186/s43055-020-00155-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Transvaginal and pelvic ultrasound are considered the primary imaging modality in evaluating adnexal masses. Gynaecologic Imaging Reporting and Data System (GI-RADS) depends on different ultrasound patterns and criteria adopted by the International Ovarian Tumour Analysis (IOTA) group. The current study aimed to detect the diagnostic accuracy of the GI-RADS classification in evaluating adnexal masses. In this prospective cross-sectional study, a total of 112 adnexal masses belonging to 100 women, age ranged 12 to 66 years old, were included. The study population was recruited throughout the period between January and November 2017. Ultrasound examination was performed to all patients; different US and Doppler criteria were assessed.
Results
Out of the 112 lesions, 36 (32.1%) were GI-RADS 2, 32 (28.6%) GI-RADS 3, 13 (11.6%) GI-RADS 4, and 31 (27.7%) GI-RADS 5. The GI-RADS classification showed sensitivity 97%, specificity 84.8%, positive predictive value (PPV) 72.7%, negative predictive value (NPV) 98.5%, and accuracy 88.4%.
Conclusion
The GI-RADS reporting system carried a high sensitivity in identifying adnexal masses at high risk of malignancy. The increased number of benign lesions misclassified as GI-RADS 4 required additional markers to improve the specificity in GI-RADS classification.
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Kim S, Lee HJ, Park JH, Kim T, Nam K. Tarlov Cysts Misdiagnosed as Adnexal Masses in Pelvic Sonography: A Literature Review. Front Med (Lausanne) 2020; 7:577301. [PMID: 33425933 PMCID: PMC7793900 DOI: 10.3389/fmed.2020.577301] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 11/13/2020] [Indexed: 12/15/2022] Open
Abstract
Introduction: A Tarlov cyst (TC) is a perineural cyst filled with cerebrospinal fluid that originates from the dorsal ganglion or the spinal posterior nerve root. TCs are usually asymptomatic and incidentally found in the sacral region. Endopelvic extension of TCs is uncommon and can be misdiagnosed as an adnexal mass on gynecological ultrasound imaging. Methods: We performed a search for all clinical studies of TCs that mimicked adnexal masses that had been published through October 12, 2020. We placed no restrictions on language or year of publication in our search, and we performed searches with the following keywords: perineural cyst, Tarlov cyst, sclerotherapy, management, and prognosis. We included all misdiagnosed cases or cases considered as adnexal masses on pelvic sonography. Results: We identified 21 cases of TCs mimicking adnexal masses and conducted a comprehensive analysis of these 21 cases to assess the epidemiology, symptoms, initial diagnoses, provisional ultrasound diagnoses, confirmative modalities, sizes, locations, treatments, and outcomes. The 21 cases included 16 symptomatic cases (76%) and 5 cases with incidental findings (24%), and the average patient age was 41.3 years. The initial diagnosis was performed with ultrasonography in all cases. The most frequent misdiagnosis was unspecified adnexal mass. Confirmative diagnostic modalities were MRI only (67%), CT only (5%), and both MRI and CT (28%). Treatments were surgery (33%), conservative treatment (19%), percutaneous intervention (5%), and alcohol sclerotherapy (5%). In two symptomatic cases misdiagnosed as pelvic masses, cystectomy was performed and leakage of cerebrospinal fluid occurred, necessitating repair of the leak. In one of the asymptomatic patients, cauda equina syndrome occurred after alcohol sclerotherapy for misdiagnosed TC. However, the patient improved with no neurologic deficit after 18 months of conservative treatment. Conclusion: The possibility of large TCs should be considered when assessing adnexal masses in sonography. Since TCs can masquerade as pelvic masses, they should be considered if the mass appears tubular/cystic or multilocular/multiseptate, does not move with respiration, and originates from the sacrum in sonography with or without neurologic symptoms. Accurate diagnosis can prevent medical mismanagement and reduce patient discomfort.
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Affiliation(s)
- Shengshu Kim
- Department of Physical Medicine and Rehabilitation, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang-si, South Korea
| | - Ho Jun Lee
- Department of Physical Medicine and Rehabilitation, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang-si, South Korea
| | - Joong Hyun Park
- Department of Neurology, Inje University Sanggye Paik Hospital, Inje University College of Medicine, Seoul-si, South Korea
| | - Taeyeon Kim
- Department of Physical Medicine and Rehabilitation, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang-si, South Korea
| | - Kiyeun Nam
- Department of Physical Medicine and Rehabilitation, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang-si, South Korea
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