|
1
|
Li QY, Yan XY, Guan Z, Sun RJ, Lu QY, Li XT, Zhang XY, Sun YS. A method of matching nodes between MRI and pathology with MRI-based 3D node map in rectal cancer. Abdom Radiol (NY) 2025:10.1007/s00261-025-04826-x. [PMID: 40056208 DOI: 10.1007/s00261-025-04826-x] [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: 12/30/2024] [Revised: 01/20/2025] [Accepted: 01/26/2025] [Indexed: 03/10/2025]
Abstract
PURPOSE To propose a node-by-node matching method between MRI and pathology with 3D node maps based on preoperative MRI for rectal cancer patients to improve the yet unsatisfactory diagnostic performance of nodal status in rectal cancer. METHODS This methodological study prospectively enrolled consecutive participants with rectal cancer who underwent preoperative MRI and radical surgery from December 2021 to August 2023. All nodes with short-axis diameters of ≥ 3 mm within the mesorectum were regarded as target nodes and were localized in three directions based on the positional relationship on MRI and drawn on a node map with the primary tumor as the main reference, which was used as a template for node-by-node matching with pathological evaluation. Patient and nodal-level analyses were performed to investigate factors affecting the matching accuracy. RESULTS 545 participants were included, of whom 253 received direct surgery and 292 received surgery after neoadjuvant therapy (NAT). In participants who underwent direct surgery, 1782 target nodes were identified on MRI, of which 1302 nodes (73%) achieved matching with pathology, with 1018 benign and 284 metastatic. In participants who underwent surgery after NAT, 1277 target nodes were identified and 918 nodes (72%) achieved matching, of which 689 were benign and 229 were metastatic. Advanced disease and proximity to primary tumor resulted in matching difficulties. CONCLUSION An easy-to-use and reliable method of node-by-node matching between MRI and pathology with 3D node map based on preoperative MRI was constructed for rectal cancer, which provided reliable node-based ground-truth labels for further radiological studies.
Collapse
Affiliation(s)
- Qing-Yang Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xin-Yue Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhen Guan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Rui-Jia Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qiao-Yuan Lu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiao-Ting Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiao-Yan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China.
| | - Ying-Shi Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China.
| |
Collapse
|
|
2
|
Nie T, Yuan Z, He Y, Xu H, Guo X, Liu Y. Prediction of T Stage of Rectal Cancer After Neoadjuvant Therapy by Multi-Parameter Magnetic Resonance Radiomics Based on Machine Learning Algorithms. Technol Cancer Res Treat 2024; 23:15330338241305463. [PMID: 39668711 PMCID: PMC11638987 DOI: 10.1177/15330338241305463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 10/25/2024] [Accepted: 11/11/2024] [Indexed: 12/14/2024] Open
Abstract
INTRODUCTION Since the response of patients with rectal cancer (RC) to neoadjuvant therapy is highly variable, there is an urgent need to develop accurate methods to predict the post-treatment T (pT) stage. The purpose of this study was to evaluate the utility of multi-parametric MRI radiomics models and identify the most accurate machine learning (ML) algorithms for predicting pT stage of RC. METHOD This retrospective study analyzed pretreatment clinical features of 171 RC patients who underwent 3 T MRI prior to neoadjuvant therapy and subsequent total mesorectal excision. Tumors were manually drawn as regions of interest (ROI) layer by layer on high-resolution T2-weighted image (T2WI) and contrast-enhanced T1-weighted image (CE-T1WI) using ITK-SNAP software. The most relevant features of pT stage from CE-T1WI, T2WI, and fusion features (combination of clinical features, CE-T1WI, and T2WI radiomics features) were extracted by the Least Absolute Shrinkage and Selection Operator method. Clinical, CE-T1WI radiomics, T2WI radiomics, and fusion models were established by ML multiple classifiers. RESULTS In the clinical model, the LightGBM algorithm demonstrated the highest efficiency, with AUC values of 0.857 and 0.702 for the training and test cohorts, respectively. For the T2WI and CE-T1WI models, the SVM algorithm was the most efficient; AUC = 0.969 and 0.868 in the training cohort, and 0.839 and 0.760 in the test cohort, respectively. The fusion model yielded the highest predictive performance using the LR algorithm; AUC = 0.967 and 0.932 in the training and test cohorts, respectively. CONCLUSION Radiomics features extracted from CE-T1WI and T2WI images and clinical features were effective predictors of pT stage in patients with rectal cancer who underwent neoadjuvant therapy. ML-based multi-parameter MRI radiomics model incorporating relevant clinical features can improve the pT stage prediction accuracy of RC.
Collapse
Affiliation(s)
- Tingting Nie
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zilong Yuan
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yaoyao He
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Haibo Xu
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xiaofang Guo
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yulin Liu
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
|
3
|
Ozaki K, Kurose Y, Kawai K, Kobayashi H, Itabashi M, Hashiguchi Y, Miura T, Shiomi A, Harada T, Ajioka Y. Development of a Diagnostic Artificial Intelligence Tool for Lateral Lymph Node Metastasis in Advanced Rectal Cancer. Dis Colon Rectum 2023; 66:e1246-e1253. [PMID: 37260284 DOI: 10.1097/dcr.0000000000002719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
BACKGROUND Metastatic lateral lymph node dissection can improve survival in patients with rectal adenocarcinoma, with or without chemoradiotherapy. However, the optimal imaging diagnostic criteria for lateral lymph node metastases remain undetermined. OBJECTIVE To develop a lateral lymph node metastasis diagnostic artificial intelligence tool using deep learning, for patients with rectal adenocarcinoma who underwent radical surgery and lateral lymph node dissection. DESIGN Retrospective study. SETTINGS Multicenter study. PATIENTS A total of 209 patients with rectal adenocarcinoma, who underwent radical surgery and lateral lymph node dissection at 15 participating hospitals, were enrolled in the study and allocated to training (n = 139), test (n = 17), or validation (n = 53) cohorts. MAIN OUTCOME MEASURES In the neoadjuvant treatment group, images taken before pretreatment were classified as baseline images and those taken after pretreatment as presurgery images. In the upfront surgery group, presurgery images were classified as both baseline and presurgery images. We constructed 2 types of artificial intelligence, using baseline and presurgery images, by inputting the patches from these images into ResNet-18, and we assessed their diagnostic accuracy. RESULTS Overall, 124 patients underwent surgery alone, 52 received neoadjuvant chemotherapy, and 33 received chemoradiotherapy. The number of resected lateral lymph nodes in the training, test, and validation cohorts was 2418, 279, and 850, respectively. The metastatic rates were 2.8%, 0.7%, and 3.7%, respectively. In the validation cohort, the precision-recall area under the curve was 0.870 and 0.963 for the baseline and presurgery images, respectively. Although both baseline and presurgery images provided good accuracy for diagnosing lateral lymph node metastases, the accuracy of presurgery images was better than that of baseline images. LIMITATIONS The number of cases is small. CONCLUSIONS An artificial intelligence tool is a promising tool for diagnosing lateral lymph node metastasis with high accuracy. DESARROLLO DE UNA HERRAMIENTA DE INTELIGENCIA ARTIFICIAL PARA EL DIAGNSTICO DE METSTASIS EN GANGLIOS LINFTICOS LATERALES EN CNCER DE RECTO AVANZADO ANTECEDENTES:Disección de nódulos linfáticos laterales metastásicos puede mejorar la supervivencia en pacientes con adenocarcinoma del recto, con o sin quimiorradioterapia. Sin embargo, aún no se han determinado los criterios óptimos de diagnóstico por imágenes de los nódulos linfáticos laterales metastásicos.OBJETIVO:Nuestro objetivo fue desarrollar una herramienta de inteligencia artificial para el diagnóstico de metástasis en nódulos linfáticos laterales mediante el aprendizaje profundo, para pacientes con adenocarcinoma del recto que se sometieron a cirugía radical y disección de nódulos linfáticos laterales.DISEÑO:Estudio retrospectivo.AJUSTES:Estudio multicéntrico.PACIENTES:Un total de 209 pacientes con adenocarcinoma del recto, que se sometieron a cirugía radical y disección de nódulos linfáticos laterales en 15 hospitales participantes, se inscribieron en el estudio y se asignaron a cohortes de entrenamiento (n = 139), prueba (n = 17) o validación (n = 53).PRINCIPALES MEDIDAS DE RESULTADO:En el grupo de tratamiento neoadyuvante, las imágenes tomadas antes del tratamiento se clasificaron como imágenes de referencia y las posteriores al tratamiento, como imágenes previas a la cirugía. En el grupo de cirugía inicial, las imágenes previas a la cirugía se clasificaron como imágenes de referencia y previas a la cirugía. Construimos dos tipos de inteligencia artificial, utilizando imágenes de referencia y previas a la cirugía, ingresando los parches de estas imágenes en ResNet-18. Evaluamos la precisión diagnóstica de los dos tipos de inteligencia artificial.RESULTADOS:En general, 124 pacientes se sometieron a cirugía solamente, 52 recibieron quimioterapia neoadyuvante y 33 recibieron quimiorradioterapia. El número de nódulos linfáticos laterales removidos en los cohortes de entrenamiento, prueba y validación fue de 2,418; 279 y 850, respectivamente. Las tasas metastásicas fueron 2.8%, 0.7%, y 3.7%, respectivamente. En el cohorte de validación, el área de recuperación de precisión bajo la curva fue de 0.870 y 0.963 para las imágenes de referencia y antes de la cirugía, respectivamente. Aunque tanto las imágenes previas a la cirugía como las iniciales proporcionaron una buena precisión para diagnosticar metástasis en los nódulos linfáticos laterales, la precisión de las imágenes previas a la cirugía fue mejor que la de las imágenes iniciales.LIMITACIONES:El número de casos es pequeño.CONCLUSIÓN:La inteligencia artificial es una herramienta prometedora para diagnosticar metástasis en los nódulos linfáticos laterales con alta precisión. (Traducción-Dr. Aurian Garcia Gonzalez ).
Collapse
Affiliation(s)
- Kosuke Ozaki
- Department of Surgical Oncology, Faculty of Medicine, University of Tokyo, Tokyo, Japan
| | - Yusuke Kurose
- Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan
- Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan
| | - Kazushige Kawai
- Department of Surgery, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
| | | | - Michio Itabashi
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo, Japan
| | - Yojiro Hashiguchi
- Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan
| | - Takuya Miura
- Department of Gastroenterological Surgery, Hirosaki University, Graduate School of Medicine, Aomori, Japan
| | - Akio Shiomi
- Division of Colon and Rectal Surgery, Shizuoka Cancer Center, Shizuoka, Japan
| | - Tatsuya Harada
- Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan
- Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan
- Research Center for Medical Bigdata, National Institute of Informatics, Tokyo, Japan
| | - Yoichi Ajioka
- Division of Molecular and Diagnostic Pathology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| |
Collapse
|
|
4
|
Zhang H, Cao K, Li G, Zhai Z, Wei G, Qu H, Wang Z, Han J. Active surveillance in long period of total neoadjuvant therapy in rectal cancer: Early prediction of poor regression response. Front Oncol 2022; 12:1049228. [PMID: 36439518 PMCID: PMC9685996 DOI: 10.3389/fonc.2022.1049228] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 10/25/2022] [Indexed: 11/12/2022] Open
Abstract
Aim To analyze locally advanced rectal cancer (LARC) patients and tumor characteristics during the period of total neoadjuvant therapy (TNT) and explore the risk factors that may predict poor tumor regression in response to TNT. Materials and methods The data of 120 LARC patients who received TNT from December 2016 and September 2019 in our hospital were retrospectively analyzed. The clinicopathological characteristics of patients with different tumor regression responses were compared. Then we divided patients into two groups according to the carcinoembryonic antigen (CEA) clearance pattern after chemoradiation to explore risk factors that might predict the tumor regression response. Results Of 120 LARC patients, 34 (28.3%) exhibited poor regression. Stratified analysis by tumor response showed that patients with poor response to TNT were more likely to obtain elevated CEA during the course of TNT (all P < 0.05). For those with elevated pretreatment CEA, fewer patients with poor response obtained normal CEA after chemoradiation (13.6% vs. 72.7%, P < 0.001). Besides, less patients’ CEA levels in the poor response group decreased by greater than 50% after chemoradiation when compared with that in the good response group (18.2% vs. 60.6%, P = 0.002). Stratified analysis by CEA clearance pattern after chemoradiation showed patients who obtained an elevated pretreatment CEA and decreased by less than 50% after chemoradiation were more likely to have poor response to TNT compared to others (76.2% vs. 18.2%, P < 0.001). Logistic multivariate analysis revealed that cN2 (95% CI 1.553-16.448), larger tumors (95% CI 2.250-21.428) and CEA clearance pattern after chemoradiation (95% CI 1.062-66.992) were independent risk factors for poor tumor regression response. Conclusion Approximately one-fourth of LARC patients with TNT achieved a poor regression response. Here, cN2, larger tumor size before treatment and elevated CEA levels were considered predictive features of a poor response. Active surveillance of CEA levels during the TNT course are potentially important, and CEA levels after chemoradiation might have important implications for the tumor response to TNT.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Jiagang Han
- *Correspondence: Jiagang Han, ; Zhenjun Wang,
| |
Collapse
|
|
5
|
Zhuang Z, Ma X, Zhang Y, Yang X, Wei M, Deng X, Wang Z. Establishment and validation of nomograms for predicting mesorectal lymph node staging and restaging. Int J Colorectal Dis 2022; 37:2069-2083. [PMID: 36028723 DOI: 10.1007/s00384-022-04244-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/15/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND Preoperative determination of lymph node (LN) status is crucial in treatment planning for rectal cancer. This study prospectively evaluated the risk factors for lymph node metastasis (LNM) at staging and restaging based on a node-by-node pairing between MRI imaging findings and histopathology and constructed nomograms to evaluate its diagnostic value. METHODS From July 2021 to July 2022, patients with histopathologically verified rectal cancer who underwent MRI before surgery were prospectively enrolled. Histological examination of each LN status in the surgical specimens and anatomical matching with preoperative imaging. Taking histopathological results as the gold standard, federating clinical features from patients and LN imaging features on MRI-T2WI. Risk factors for LN metastasis were identified by multivariate logistic regression analysis and used to create a nomogram. The performance of the nomograms was assessed with calibration plots and bootstrapped-concordance index and validated using validation cohorts. RESULTS A total of 500 target LNs in 120 patients were successfully matched with node-by-node comparisons. A total of 353 LNs did not receive neoadjuvant therapy and 147 LNs received neoadjuvant chemoradiotherapy (neoCRT). Characterization of LNs not receiving neoadjuvant therapy and multivariate regression showed that the short diameter, preoperative CEA level, mrT-stage, border contour, and signal intensity were associated with a high risk of LN metastasis (P < 0.05). The nomogram predicted that the area under the curve was 0.855 (95% CI, 0.794-0.916) and 0.854 (95% CI, 0.727-0.980) in the training and validation cohorts, respectively. In the neoadjuvant therapy group, short diameter, ymrT-stage, internal signal, and MRI-EMVI were associated with LN positivity (P < 0.05), and the area under the curves using the nomogram was 0.912 (95% CI, 0.856-0.968) and 0.915 (95% CI, 0.817-1.000) in two cohorts. The calibration curves demonstrate good agreement between the predicted and actual probabilities for both the training and validation cohorts. CONCLUSION Our nomograms combined with preoperative clinical and imaging biomarkers have the potential to improve the prediction of nodal involvement, which can be used as an essential reference for preoperative N staging and restaging of rectal cancer.
Collapse
Affiliation(s)
- Zixuan Zhuang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xueqin Ma
- Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Zhang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xuyang Yang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Mingtian Wei
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiangbing Deng
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ziqiang Wang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
| |
Collapse
|
|
6
|
Zhuang Z, Ma X, Zhang Y, Yang X, Wei M, Deng X, Wang Z. Technique to match mesorectal lymph nodes imaging findings to histopathology: node-by-node comparison. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04305-6. [PMID: 36028725 DOI: 10.1007/s00432-022-04305-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 08/15/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Lymph node status is critical for staging rectal cancer and determining neoadjuvant therapy regimens. Establishing a matching between imaging and histopathological lymph nodes is fundamental for predicting lymph node status. This study reports a technique to achieve node-by-node pairing of mesorectal lymph nodes between imaging findings and histopathology. METHODS Fifty-two patients with histopathologically verified rectal cancer underwent magnetic resonance imaging before surgery. The status of each lymph node in the surgical specimens was analyzed histopathologically and matched with preoperative imaging after the operation. RESULTS A total of 346 mesorectal lymph nodes were located on imaging evaluation, of which 313 were confirmed histopathologically, and 33 were unmatched. The total success rate of the technique was 90.5%. Node-by-node analysis revealed 280 benign and 33 malignant nodal structures. CONCLUSION The technique to match mesorectal lymph node imaging findings to histopathology was feasible and effective. It simplified the technical method and had a reasonable success matching rate, which could provide a standardized approach for obtaining a prospective correlation between imaging and histological findings, supporting all subsequent related studies at the level of mesorectal lymph nodes.
Collapse
Affiliation(s)
- Zixuan Zhuang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Xueqin Ma
- Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Zhang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Xuyang Yang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Mingtian Wei
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Xiangbing Deng
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Ziqiang Wang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China.
| |
Collapse
|
|
7
|
Locally Advanced Rectal Cancer: What We Learned in the Last Two Decades and the Future Perspectives. J Gastrointest Cancer 2022; 54:188-203. [PMID: 34981341 DOI: 10.1007/s12029-021-00794-9] [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] [Accepted: 12/20/2021] [Indexed: 12/13/2022]
Abstract
The advancement in surgical techniques, optimization of systemic chemoradiotherapy, and development of refined diagnostic and imaging modalities have brought a phenomenal shift in the treatment of the locally advanced rectal cancer. Although each therapeutic option has shown substantial progress in their field, it is finding their ideal amalgamation which has baffled the clinician and researchers alike. In the effort to identifying the perfect salutary treatment plan, we have even shifted our attention from the trimodal approach to non-operative "watchful waiting" to more recent individualized care. In this article, we acknowledge the scientific progress in the management of locally advanced rectal cancer and compare the opportunities as well as the obstacles while implementing them clinically. We also explore the current challenges and controversies surrounding the multidisciplinary approach and highlight the new trends and recent advances with an ultimate goal to improve the patients' quality of life.
Collapse
|
|
8
|
Li J, Wang P, Zhou Y, Liang H, Lu Y, Luan K. A novel classification method of lymph node metastasis in colorectal cancer. Bioengineered 2021; 12:2007-2021. [PMID: 34024255 PMCID: PMC8806456 DOI: 10.1080/21655979.2021.1930333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/07/2021] [Accepted: 05/08/2021] [Indexed: 11/21/2022] Open
Abstract
Colorectal cancer lymph node metastasis, which is highly associated with the patient's cancer recurrence and survival rate, has been the focus of many therapeutic strategies that are highly associated with the patient's cancer recurrence and survival rate. The popular methods for classification of lymph node metastasis by neural networks, however, show limitations as the available low-level features are inadequate for classification, and the radiologists are unable to quickly review the images. Identifying lymph node metastasis in colorectal cancer is a key factor in the treatment of patients with colorectal cancer. In the present work, an automatic classification method based on deep transfer learning was proposed. Specifically, the method resolved the problem of repetition of low-level features and combined these features with high-level features into a new feature map for classification; and a merged layer which merges all transmitted features from previous layers into a map of the first full connection layer. With a dataset collected from Harbin Medical University Cancer Hospital, the experiment involved a sample of 3,364 patients. Among these samples, 1,646 were positive, and 1,718 were negative. The experiment results showed the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 0.8732, 0.8746, 0.8746 and 0.8728, respectively, and the accuracy and AUC were 0.8358 and 0.8569, respectively. These demonstrated that our method significantly outperformed the previous classification methods for colorectal cancer lymph node metastasis without increasing the depth and width of the model.
Collapse
Affiliation(s)
- Jin Li
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, Heilongjiang Province, China
| | - Peng Wang
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, Heilongjiang Province, China
| | - Yang Zhou
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, Heilongjiang Province, China
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang Province, China
| | - Hong Liang
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, Heilongjiang Province, China
| | - Yang Lu
- College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang Province, China
| | - Kuan Luan
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, Heilongjiang Province, China
| |
Collapse
|
|
9
|
Kim JK, Qu X, Chen CT, Smith JJ, Sanchez-Vega F, Garcia-Aguilar J. Identifying Diagnostic MicroRNAs and Investigating Their Biological Implications in Rectal Cancer. JAMA Netw Open 2021; 4:e2136913. [PMID: 34860243 PMCID: PMC8642786 DOI: 10.1001/jamanetworkopen.2021.36913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Accurate clinical staging is important in rectal cancer because it determines the appropriate treatment and prognosis. Despite the use of multiple diagnostic imaging tools, it is sometimes difficult to clinically distinguish stage I tumors from stage II or III locally advanced disease. Identification of differentiating microRNAs (miRNAs) between these 2 groups may improve the clinical diagnostic power and provide insight into the biology of tumor progression. OBJECTIVES To investigate differences in the expression of miRNAs in stage I vs stage II or III rectal cancers and integrate matched mRNA profiling data to identify possible functional roles of these miRNAs. DESIGN, SETTING, AND PARTICIPANTS The primary tumor specimens from patients who were enrolled in 2 prospective clinical trials between March 24, 2004, and November 16, 2012 (American College of Surgeons Oncology Group [ACOSOG] Z6041 and Timing of Rectal Cancer Response to Chemoradiation [TIMING]) were sequenced to arrive at a set of 127 cases (41 stage I and 86 stage II or III tumors) with matched miRNA and messenger RNA (mRNA) profiling data. These findings were also evaluated in an independent cohort of 127 patient specimens (29 stage I and 98 stage II or III tumors) from The Cancer Genome Atlas Rectum Adenocarcinoma (TCGA-READ) that also had matched miRNA and mRNA data. Data analysis was performed from September 1, 2019, to September 1, 2020. MAIN OUTCOMES AND MEASURES Alterations in miRNA expression between stage I and stage II or III tumors and their potential gene targets. RESULTS A total of 254 pretreatment rectal adenocarcinoma specimens were analyzed in this study as 2 distinct cohorts: 127 samples in the ACOSOG/TIMING (stage I group: 27 [66%] male; mean [SD] age, 64.4 [10.8] years; stage II or III group: 47 [55%] male; mean [SD] age, 57.0 [11.4] years), and another 127 samples from TCGA-READ (stage I group: 17 [59%] male; mean [SD] age, 63.6 [12.0] years; stage II or III group: 48 [49%] male; mean [SD] age, 64.5 [11.4] years). A total of 19 miRNAs were overexpressed in stage II or III vs stage I tumors in both cohorts. This miRNA signature had an excellent discriminative value for distinguishing stage II or III from stage I rectal tumors (area under the curve, 0.88; 95% CI, 0.83-0.94 in ACOSOG/TIMING cohort and area under the curve, 0.84; 95% CI, 0.77-0.91 in the TCGA-READ cohort). Integrative analysis revealed 3 miRNA-mRNA pairs that exhibited significant correlations in both cohorts: miR-31-5p-SATB2, miR-143-3p-KLF5, and miR-204-5p-EZR. CONCLUSIONS AND RELEVANCE This diagnostic study found that many of the dysregulated miRNAs in stage II or III vs stage I rectal cancers have biological implications for tumor progression. The results of this study suggest that these miRNAs could assist as diagnostic biomarkers to better identify patients with locally advanced rectal cancer.
Collapse
Affiliation(s)
- Jin K. Kim
- Department of Surgery, Colorectal Service, Memorial Sloan Kettering Cancer Center, New York
| | - Xuan Qu
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York
| | - Chin-Tung Chen
- Department of Surgery, Colorectal Service, Memorial Sloan Kettering Cancer Center, New York
| | - J. Joshua Smith
- Department of Surgery, Colorectal Service, Memorial Sloan Kettering Cancer Center, New York
| | - Francisco Sanchez-Vega
- Department of Surgery, Colorectal Service, Memorial Sloan Kettering Cancer Center, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York
| | - Julio Garcia-Aguilar
- Department of Surgery, Colorectal Service, Memorial Sloan Kettering Cancer Center, New York
| |
Collapse
|
|
10
|
Ogawa S, Itabashi M, Inoue Y, Ohki T, Bamba Y, Koshino K, Nakagawa R, Tani K, Aihara H, Kondo H, Yamaguchi S, Yamamoto M. Lateral pelvic lymph nodes for rectal cancer: A review of diagnosis and management. World J Gastrointest Oncol 2021; 13:1412-1424. [PMID: 34721774 PMCID: PMC8529924 DOI: 10.4251/wjgo.v13.i10.1412] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 05/21/2021] [Accepted: 08/24/2021] [Indexed: 02/06/2023] Open
Abstract
The current status and future prospects for diagnosis and treatment of lateral pelvic lymph node (LPLN) metastasis of rectal cancer are described in this review. Magnetic resonance imaging (MRI) is recommended for the diagnosis of LPLN metastasis. A LPLN-positive status on MRI is a strong risk factor for metastasis, and evaluation by MRI is important for deciding treatment strategy. LPLN dissection (LPLD) has an advantage of reducing recurrence in the lateral pelvis but also has a disadvantage of complications; therefore, LPLD may not be appropriate for cases that are less likely to have LPLN metastasis. Radiation therapy (RT) and chemoradiation therapy (CRT) have limited effects in cases with suspected LPLN metastasis, but a combination of preoperative CRT and LPLD may improve the treatment outcome. Thus, RT and CRT plus selective LPLD may be a rational strategy to omit unnecessary LPLD and produce a favorable treatment outcome.
Collapse
Affiliation(s)
- Shimpei Ogawa
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Michio Itabashi
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Yuji Inoue
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Takeshi Ohki
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Yoshiko Bamba
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Kurodo Koshino
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Ryosuke Nakagawa
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Kimitaka Tani
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Hisako Aihara
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Hiroka Kondo
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Shigeki Yamaguchi
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Masakazu Yamamoto
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| |
Collapse
|
|
11
|
Grimm P, Loft MK, Dam C, Pedersen MRV, Timm S, Rafaelsen SR. Intra- and Interobserver Variability in Magnetic Resonance Imaging Measurements in Rectal Cancer Patients. Cancers (Basel) 2021; 13:cancers13205120. [PMID: 34680269 PMCID: PMC8534180 DOI: 10.3390/cancers13205120] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 10/04/2021] [Accepted: 10/07/2021] [Indexed: 12/14/2022] Open
Abstract
Colorectal cancer is the second most common cancer in Europe, and accurate lymph node staging in rectal cancer patients is essential for the selection of their treatment. MRI lymph node staging is complex, and few studies have been published regarding its reproducibility. This study assesses the inter- and intraobserver variability in lymph node size, apparent diffusion coefficient (ADC) measurements, and morphological characterization among inexperienced and experienced radiologists. Four radiologists with different levels of experience in MRI rectal cancer staging analyzed 36 MRI scans of 36 patients with rectal adenocarcinoma. Inter- and intraobserver variation was calculated using interclass correlation coefficients and Cohens-kappa statistics, respectively. Inter- and intraobserver agreement for the length and width measurements was good to excellent, and for that of ADC it was fair to good. Interobserver agreement for the assessment of irregular border was moderate, heterogeneous signal was fair, round shape was fair to moderate, and extramesorectal lymph node location was moderate to almost perfect. Intraobserver agreement for the assessment of irregular border was fair to substantial, heterogeneous signal was fair to moderate, round shape was fair to moderate, and extramesorectal lymph node location was substantial to almost perfect. Our data indicate that subjective variables such as morphological characteristics are less reproducible than numerical variables, regardless of the level of experience of the observers.
Collapse
Affiliation(s)
- Peter Grimm
- Department of Radiology, Vejle Hospital, University Hospital of Southern Denmark, 7100 Vejle, Denmark; (M.K.L.); (C.D.); (M.R.V.P.); (S.R.R.)
- Correspondence:
| | - Martina Kastrup Loft
- Department of Radiology, Vejle Hospital, University Hospital of Southern Denmark, 7100 Vejle, Denmark; (M.K.L.); (C.D.); (M.R.V.P.); (S.R.R.)
- Department of Regional Health Research, University of Southern Denmark, 5230 Odense, Denmark;
| | - Claus Dam
- Department of Radiology, Vejle Hospital, University Hospital of Southern Denmark, 7100 Vejle, Denmark; (M.K.L.); (C.D.); (M.R.V.P.); (S.R.R.)
| | - Malene Roland Vils Pedersen
- Department of Radiology, Vejle Hospital, University Hospital of Southern Denmark, 7100 Vejle, Denmark; (M.K.L.); (C.D.); (M.R.V.P.); (S.R.R.)
- Department of Regional Health Research, University of Southern Denmark, 5230 Odense, Denmark;
| | - Signe Timm
- Department of Regional Health Research, University of Southern Denmark, 5230 Odense, Denmark;
- Research Unit, Kolding Hospital, University Hospital of Southern Denmark, 6000 Kolding, Denmark
| | - Søren Rafael Rafaelsen
- Department of Radiology, Vejle Hospital, University Hospital of Southern Denmark, 7100 Vejle, Denmark; (M.K.L.); (C.D.); (M.R.V.P.); (S.R.R.)
- Department of Regional Health Research, University of Southern Denmark, 5230 Odense, Denmark;
| |
Collapse
|
|
12
|
Zhuang Z, Zhang Y, Wei M, Yang X, Wang Z. Magnetic Resonance Imaging Evaluation of the Accuracy of Various Lymph Node Staging Criteria in Rectal Cancer: A Systematic Review and Meta-Analysis. Front Oncol 2021; 11:709070. [PMID: 34327144 PMCID: PMC8315047 DOI: 10.3389/fonc.2021.709070] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 06/22/2021] [Indexed: 02/05/2023] Open
Abstract
Background Magnetic resonance imaging (MRI)-based lymph node staging remains a significant challenge in the treatment of rectal cancer. Pretreatment evaluation of lymph node metastasis guides the formulation of treatment plans. This systematic review aimed to evaluate the diagnostic performance of MRI in lymph node staging using various morphological criteria. Methods A systematic search of the EMBASE, Medline, and Cochrane databases was performed. Original articles published between 2000 and January 2021 that used MRI for lymph node staging in rectal cancer were eligible. The included studies were assessed using the QUADAS-2 tool. A bivariate random-effects model was used to conduct a meta-analysis of diagnostic test accuracy. Results Thirty-seven studies were eligible for this meta-analysis. The pooled sensitivity, specificity, and diagnostic odds ratio of preoperative MRI for the lymph node stage were 0.73 (95% confidence interval [CI], 0.68–0.77), 0.74 (95% CI, 0.68–0.80), and 7.85 (95% CI, 5.78–10.66), respectively. Criteria for positive mesorectal lymph node metastasis included (A) a short-axis diameter of 5 mm, (B) morphological standard, including an irregular border and mixed-signal intensity within the lymph node, (C) a short-axis diameter of 5 mm with the morphological standard, (D) a short-axis diameter of 8 mm with the morphological standard, and (E) a short-axis diameter of 10 mm with the morphological standard. The pooled sensitivity/specificity for these criteria were 75%/64%, 81%/67%, 74%/79%, 72%/66%, and 62%/91%, respectively. There was no significant difference among the criteria in sensitivity/specificity. The area under the receiver operating characteristic (ROC) curve values of the fitted summary ROC indicated a diagnostic accuracy rate of 0.75–0.81. Conclusion MRI scans have minimal accuracy as a reference index for pretreatment staging of various lymph node staging criteria in rectal cancer. Multiple types of evidence should be used in clinical decision-making.
Collapse
Affiliation(s)
- Zixuan Zhuang
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Yang Zhang
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Mingtian Wei
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Xuyang Yang
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Ziqiang Wang
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
| |
Collapse
|
|
13
|
Li J, Zhou Y, Wang P, Zhao H, Wang X, Tang N, Luan K. Deep transfer learning based on magnetic resonance imaging can improve the diagnosis of lymph node metastasis in patients with rectal cancer. Quant Imaging Med Surg 2021; 11:2477-2485. [PMID: 34079717 DOI: 10.21037/qims-20-525] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background Lymph node (LN) metastasis is the main prognostic factor for local recurrence and overall survival of patients with rectal cancer. The accurate evaluation of LN status in rectal cancer patients is associated with improved treatment and prognosis. This study aimed to apply deep transfer learning to classify LN status in patients with rectal cancer to improve N staging accuracy. Methods The study included 129 patients with 325 rectal cancer screenshots of LN T2-weighted (T2W) images from April 2018 to March 2019. Deep learning was applied through a pre-trained model, Inception-v3, for recognition and detection of LN status. The results were compared to manual identification by experienced radiologists. Two radiologists reviewed images and independently identified their status using various criteria with or without short axial (SA) diameter measurements. The accuracy, positive predictive value (PPV), negative predictive value (NPV), sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC) were calculated. Results When the same radiologist performed the analysis, the AUC was not significantly different in the presence or absence of LN diameter measurements (P>0.05). In the deep transfer learning method, the PPV, NPV, sensitivity, and specificity were 95.2%, 95.3%, 95.3%, and 95.2%, respectively, and the AUC and accuracy were 0.994 and 95.7%, respectively. These results were all higher than that achieved with manual diagnosis by the radiologists. Conclusions The internal details of LNs should be used as the main criteria for positive diagnosis when using MRI. Deep transfer learning can improve the MRI diagnosis of positive LN metastasis in patients with rectal cancer.
Collapse
Affiliation(s)
- Jin Li
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| | - Yang Zhou
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China.,Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Peng Wang
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| | - Henan Zhao
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Xinxin Wang
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Na Tang
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Kuan Luan
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| |
Collapse
|
|
14
|
Wang PP, Deng CL, Wu B. Magnetic resonance imaging-based artificial intelligence model in rectal cancer. World J Gastroenterol 2021; 27:2122-2130. [PMID: 34025068 PMCID: PMC8117733 DOI: 10.3748/wjg.v27.i18.2122] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 02/23/2021] [Accepted: 03/16/2021] [Indexed: 02/06/2023] Open
Abstract
Rectal magnetic resonance imaging (MRI) is the preferred method for the diagnosis of rectal cancer as recommended by the guidelines. Rectal MRI can accurately evaluate the tumor location, tumor stage, invasion depth, extramural vascular invasion, and circumferential resection margin. We summarize the progress of research on the use of artificial intelligence (AI) in rectal cancer in recent years. AI, represented by machine learning, is being increasingly used in the medical field. The application of AI models based on high-resolution MRI in rectal cancer has been increasingly reported. In addition to staging the diagnosis and localizing radiotherapy, an increasing number of studies have reported that AI models based on high-resolution MRI can be used to predict the response to chemotherapy and prognosis of patients.
Collapse
Affiliation(s)
- Pei-Pei Wang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Chao-Lin Deng
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Bin Wu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| |
Collapse
|
|
15
|
Xu H, Zhao W, Guo W, Cao S, Gao C, Song T, Yang L, Liu Y, Han Y, Zhang L, Wang K. Prediction Model Combining Clinical and MR Data for Diagnosis of Lymph Node Metastasis in Patients With Rectal Cancer. J Magn Reson Imaging 2020; 53:874-883. [PMID: 32978993 DOI: 10.1002/jmri.27369] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 08/29/2020] [Accepted: 09/01/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Determining the status of lymph node (LN) metastasis in rectal cancer patients preoperatively is crucial for the treatment option. However, the diagnostic accuracy of current imaging methods is low. PURPOSE To develop and test a model for predicting metastatic LNs of rectal cancer patients based on clinical data and MR images to improve the diagnosis of metastatic LNs. STUDY TYPE Retrospective. SUBJECTS In all, 341 patients with histologically confirmed rectal cancer were divided into one training set (120 cases) and three validation sets (69, 103, 49 cases). FIELD STRENGTH/SEQUENCE 3.0T, axial and sagittal T2 -weighted turbo spin echo and diffusion-weighted imaging (b = 0 s/mm2 , 800 s/mm2 ) ASSESSMENT: In the training dataset, univariate logistic regression was used to identify the clinical factors (age, gender, and tumor markers) and MR data that correlated with LN metastasis. Then we developed a prediction model with these factors by multiple logistic regression analysis. The accuracy of the model was verified using three validation sets and compared with the traditional MRI method. STATISTICAL TESTS Univariate and multivariate logistic regression. The area under the curve (AUC) value was used to quantify the diagnostic accuracy of the model. RESULTS Eight factors (CEA, CA199, ADCmean, mriT stage, mriN stage, CRM, EMVI, and differentiation degree) were significantly associated with LN metastasis in rectal cancer patients (P<0.1). In the training set (120) and the three validation sets (69, 103, 49), the AUC values of the model were much higher than the diagnosis by MR alone (training set, 0.902 vs. 0.580; first validation set, 0.789 vs. 0.743; second validation set, 0.774 vs. 0.573; third validation set, 0.761 vs. 0.524). DATA CONCLUSION For the diagnosis of metastatic LNs in rectal cancer patients, our proposed logistic regression model, combining clinical and MR data, demonstrated higher diagnostic efficiency than MRI alone. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY STAGE: 2.
Collapse
Affiliation(s)
- Hanshan Xu
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin City, China
| | - Wenyuan Zhao
- Bioinformatics Science and Technology College, Harbin Medical University, Harbin City, China
| | - Wenbing Guo
- Bioinformatics Science and Technology College, Harbin Medical University, Harbin City, China
| | - Shaodong Cao
- Radiology Department, Fourth Affiliated Hospital Harbin Medical University, Harbin City, China
| | - Chao Gao
- Radiology Department, Fourth Affiliated Hospital Harbin Medical University, Harbin City, China
| | - Tiantian Song
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin City, China
| | - Liping Yang
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin City, China
| | - Yanlong Liu
- Colorectal Surgery Department, Harbin Medical University Cancer Hospital, Harbin City, China
| | - Yu Han
- Gastroenterology and Oncology Department, Harbin Medical University Cancer Hospital, Harbin City, China
| | - Lingbo Zhang
- Head-neck and Oral Department, Second Affiliated Hospital of Harbin Medical University, Harbin City, China
| | - Kezheng Wang
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin City, China
| |
Collapse
|
|
16
|
The Role of MRI in Rectal Cancer: An Updated Review. CURRENT RADIOLOGY REPORTS 2020. [DOI: 10.1007/s40134-020-00362-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
|
17
|
Non-surgical “Watch and Wait” Approach to Rectal Cancer. CURRENT COLORECTAL CANCER REPORTS 2020. [DOI: 10.1007/s11888-020-00460-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
|
18
|
Lambregts DMJ, Min LA, Schurink N, Beets-Tan RGH. Multiparametric Imaging for the Locoregional Follow-up of Rectal Cancer. CURRENT COLORECTAL CANCER REPORTS 2020. [DOI: 10.1007/s11888-020-00450-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
|
19
|
The Diagnostic Accuracy of Magnetic Resonance Imaging in Restaging of Rectal Cancer After Preoperative Chemoradiotherapy. J Comput Assist Tomogr 2020; 44:102-110. [DOI: 10.1097/rct.0000000000000964] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
|
|
20
|
Dijksterhuis WPM, Hulshoff JB, van Dullemen HM, Kats-Ugurlu G, Burgerhof JGM, Korteweg T, Mul VEM, Hospers GAP, Plukker JTM. Reliability of clinical nodal status regarding response to neoadjuvant chemoradiotherapy compared with surgery alone and prognosis in esophageal cancer patients. Acta Oncol 2019; 58:1640-1647. [PMID: 31397195 DOI: 10.1080/0284186x.2019.1648865] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background: Clinical nodal (cN) staging is a key element in treatment decisions in patients with esophageal cancer (EC). The reliability of cN status regarding the effect on response and survival after neoadjuvant chemoradiotherapy (nCRT) with esophagectomy was evaluated in determining the up- and downstaged pathological nodal (pN) status after surgery alone. Material and methods: From a prospective database, we included all 395 EC patients who had surgery with curative intent with or without nCRT between 2000 and 2015. All patients were staged by a standard pretreatment protocol: 16-64 mdCT, 18 F-FDG-PET or 18 F-FDG-PET/CT and EUS ± FNA. After propensity score matching on baseline clinical tumor and nodal (cT/N) stage and histopathology, a surgery-alone and nCRT group (each N = 135) were formed. Clinical and pathological N stage was scored as equal (cN = pN), downstaged (cN > pN) or upstaged (cN < pN). Prognostic impact on disease free survival (DFS) was assessed with multivariable Cox regression analysis (factors with p value <.1 on univariable analysis). Results: The surgery-alone and nCRT group did not differ in cT/N status. Pathologic examination revealed equal staging (32 vs. 27%), nodal up (43 vs. 16%) and downstaging (25 vs. 56%), respectively (p < .001). Nodal up-staging was common in cT3-4a tumors and adenocarcinomas in the surgery-alone group, while nodal downstaging was found in half of cT1-2 and cT3-4 regardless of tumortype after nCRT. Prognostic factors for DFS were pN (p = .002) and lymph-angioinvasion (p = .016) in surgery-alone, and upper abdominal cN metastases (p = .012) and lymph node ratio (p = .034) in the nCRT group. Conclusions: Despite modern staging methods, correct cN staging remains difficult in EC. Nodal overstaging (cN > pN) occurred more often than understaging impeding an adequate assessment of pathologic complete response and prognosis after nCRT.
Collapse
Affiliation(s)
- Willemieke P. M. Dijksterhuis
- Department of Surgical Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Jan Binne Hulshoff
- Department of Surgical Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Hendrik M. van Dullemen
- Department of Gastroenterology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Gursah Kats-Ugurlu
- Department of Pathology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Johannes G. M. Burgerhof
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Tijmen Korteweg
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Veronique E. M. Mul
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Geke A. P. Hospers
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - John T. M. Plukker
- Department of Surgical Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| |
Collapse
|
|
21
|
Abstract
The imaging of rectal cancer has evolved noticeably over the past 2 decades, paralleling the advances in therapy. The methods for imaging rectal cancer are increasingly used in clinical practice with the purpose of helping to detect, characterize and stage rectal cancer. In this setting, MR imaging emerged as the most useful imaging method for primary staging of rectal cancer; the present review focuses on the role of MR imaging in this regard.
Collapse
|
|
22
|
Liu Y, Wen Z, Yang X, Lu B, Xiao X, Chen Y, Yu S. Lymph node metastasis in rectal cancer: comparison of MDCT and MR imaging for diagnostic accuracy. Abdom Radiol (NY) 2019; 44:3625-3631. [PMID: 31583447 DOI: 10.1007/s00261-019-02240-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
PURPOSE To compare the diagnostic accuracies of MDCT and high-resolution MRI (HR-MRI) for regional nodal metastases with different short-axis diameter ranges in rectal cancer patients. METHODS Rectal adenocarcinoma patients who underwent both MDCT and HR-MRI before surgery were included. The maximum short-axis diameters of the nodes were measured, and were classified as benign or malignant on imaging findings. All of the nodes were subdivided as follows: ≤ 5 mm (Group A), > 5 mm and ≤ 10 mm (Group B) , and > 10 mm (Group C). The postoperative pathological reports were used as the standard, and the sensitivity, specificity, accuracy, ROC curve, and AUC value were calculated for each subgroup. RESULTS A total of 592 nodes were included in the node-to-node evaluation. In Group A, the specificity and accuracy of HR-MRI were significantly higher than those of MDCT (99.28% vs. 93.99%, P < 0.001; 95.78% vs. 89.56%, P = 0.010; respectively). In Group B, the specificity and accuracy of HR-MRI were also higher than those of MDCT (98.36% vs. 55.74%, P < 0.001; 80.45% vs. 66.17%, P < 0.001; respectively). For Groups A and B, the AUCs of MDCT were both 0.65, whereas those of HR-MRI were 0.76 and 0.82, respectively. In Group C, all nine malignant nodes were correctly diagnosed metastases on MDCT, whereas one was misjudged as benign on HR-MRI. CONCLUSIONS The diagnostic value of HR-MRI is superior to that of MDCT, with higher specificity, accuracy, and AUC values for HR-MRI than for MDCT.
Collapse
Affiliation(s)
- Yiyan Liu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Ziqiang Wen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Xinyue Yang
- Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, 510282, China
| | - Baolan Lu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Xiaojuan Xiao
- Department of Radiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518036, China
| | - Yan Chen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
| | - Shenping Yu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
| |
Collapse
|
|
23
|
Fornell-Perez R, Perez-Alonso E, Aleman-Flores P, Lozano-Rodriguez A, Loro-Ferrer JF. Nodal staging in the rectal cancer follow-up MRI after chemoradiotherapy: use of morphology, size, and diffusion criteria. Clin Radiol 2019; 75:100-107. [PMID: 31515052 DOI: 10.1016/j.crad.2019.08.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 08/08/2019] [Indexed: 02/07/2023]
Abstract
AIM To analyse changes in post-neoadjuvant follow-up magnetic resonance imaging (MRI) staging accuracy for malignant adenopathies in rectal cancer, by comparing size criteria with morphological criteria using high-resolution T2-weighted sequences, as well as variations when adding diffusion-weighted imaging. METHODS AND MATERIALS The present study was a cross-sectional study of a database including 46 1.5-T MRI examinations (2011-2016) from patients with biopsy-proven rectal cancer and chemoradiotherapy treatment before surgery. All cases were reviewed by three radiologists individually, who were blinded to any clinical information. The radiologists were experienced in rectal cancer (3-6 years) and evaluated the presence of malignant nodes in each patient. Malignancy was determined using morphological, size (5 mm), and diffusion criteria separately, as well as morphology plus diffusion. Each case was assessed four times: (1) evaluation of morphological criteria; (2) size criteria; (3) evaluation only using diffusion (b-values 50, 400, and 800); and (4) diffusion plus morphological criteria. Histological staging of surgical specimens was the reference standard. Statistical analysis included accuracy (area under the receiver operating characteristic [ROC] curve [AUC]), sensitivity, specificity, and positive/negative predictive values (PPV/NPV) for each radiologist, and group agreement (Fleiss' kappa). RESULTS Mean values using morphological criteria were: AUC 0.78, sensitivity 77.7%, specificity 73.8%, PPV 66.1%, NPV 85.2%. Using size criterion: AUC 0.75, sensitivity 62.9%, specificity 83.2%, PPV 74.1%, NPV 80%. Added diffusion yielded no improvement, and yielded worse results by itself. CONCLUSIONS Although morphological criteria showed better results in accuracy, sensitivity, and NPV, size criterion yielded the best specificity and PPV. Adding diffusion did not demonstrate a clear advantage over the criteria by themselves. Thus, mixed size-morphology criteria could have the greatest diagnostic value for follow-up N-staging.
Collapse
Affiliation(s)
- R Fornell-Perez
- Clinical Sciences Department, Faculty of Medicine, University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe, s/n, 35016, Las Palmas de Gran Canaria, Spain.
| | - E Perez-Alonso
- Clinical Sciences Department, Faculty of Medicine, University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe, s/n, 35016, Las Palmas de Gran Canaria, Spain; Department of General Surgery, Complejo Hospitalario Universitario Insular Materno-Infantil, Av. Marítima, s/n, 35016, Las Palmas de Gran Canaria, Spain
| | - P Aleman-Flores
- Department of Radiology, Complejo Hospitalario Universitario Insular Materno-Infantil, Av. Marítima, s/n, 35016, Las Palmas de Gran Canaria, Spain
| | - A Lozano-Rodriguez
- Department of Radiology, Complejo Hospitalario Universitario Insular Materno-Infantil, Av. Marítima, s/n, 35016, Las Palmas de Gran Canaria, Spain
| | - J F Loro-Ferrer
- Clinical Sciences Department, Faculty of Medicine, University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe, s/n, 35016, Las Palmas de Gran Canaria, Spain
| |
Collapse
|
|
24
|
Brown PJ, Hyland R, Quyn AJ, West NP, Sebag-Montefiore D, Jayne D, Sagar P, Tolan DJ. Current concepts in imaging for local staging of advanced rectal cancer. Clin Radiol 2019; 74:623-636. [PMID: 31036310 DOI: 10.1016/j.crad.2019.03.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 03/22/2019] [Indexed: 12/20/2022]
Abstract
Imaging of rectal cancer has an increasingly pivotal role in the diagnosis, staging, and treatment stratification of patients with the disease. This is particularly true for advanced rectal cancers where magnetic resonance imaging (MRI) findings provide essential information that can change treatment. In this review we describe the rationale for the current imaging standards in advanced rectal cancer for both morphological and functional imaging on the baseline staging and reassessment studies. In addition the clinical implications and future methods by which radiologists may improve these are outlined relative to TNM8.
Collapse
Affiliation(s)
- P J Brown
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK.
| | - R Hyland
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - A J Quyn
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - N P West
- Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Welcome Trust Brenner Building, St James's University Hospital, Leeds, LS9 7TF, UK
| | - D Sebag-Montefiore
- Department of Clinical Oncology, Bexley Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - D Jayne
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - P Sagar
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - D J Tolan
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| |
Collapse
|
|
25
|
Santiago I, Santinha J, Ianus A, Galzerano A, Theias R, Maia J, Barata MJ, Loução N, Costa-Silva B, Beltran A, Matos C, Shemesh N. Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes. Cancer Res 2019; 79:2435-2444. [PMID: 30894376 DOI: 10.1158/0008-5472.can-18-3682] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 02/13/2019] [Accepted: 03/15/2019] [Indexed: 11/16/2022]
Abstract
Noninvasive characterization of lymph node involvement in cancer is an enduring onerous challenge. In rectal cancer, pathologic lymph node status constitutes the most important determinant of local recurrence and overall survival, and patients with involved lymph nodes may benefit from preoperative chemo and/or radiotherapy. However, knowledge of lymph node status before surgery is currently hampered by limited imaging accuracy. Here, we introduce Susceptibility-Perturbation MRI (SPI) as a novel source of contrast to map malignant infiltration into mesorectal lymph nodes. SPI involves multigradient echo (MGE) signal decays presenting a nonmonoexponential nature, which we show is sensitive to the underlying microstructure via susceptibility perturbations. Using numerical simulations, we predicted that the large cell morphology and the high cellularity of tumor within affected mesorectal lymph nodes would induce signature SPI decays. We validated this prediction in mesorectal lymph nodes excised from total mesorectal excision specimens of patients with rectal cancer using ultrahigh field (16.4 T) MRI. SPI signals distinguished benign from malignant nodal tissue, both qualitatively and quantitatively, and our histologic analyses confirmed cellularity and cell size were the likely underlying sources for the differences observed. SPI was then adapted to a clinical 1.5 T scanner, added to patients' staging protocol, and compared with conventional assessment by two expert radiologists. Nonmonoexponential decays, similar to those observed in the ex vivo study, were demonstrated, and SPI classified lymph nodes more accurately than standard high-resolution T2-weighted imaging assessment. These findings suggest this simple, yet highly informative, method can improve rectal cancer patient selection for neoadjuvant therapy. SIGNIFICANCE: These findings introduce an MRI methodology tailored to detect magnetic susceptibility perturbations induced by subtle alterations in tissue microstructure.
Collapse
Affiliation(s)
- Inês Santiago
- Neuroplasticity and Neural Activity Lab, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.,Radiology Department, Champalimaud Centre for the Unknown, Lisbon, Portugal.,Nova Medical School, Campo Mártires da Pátria, Lisbon, Portugal
| | - João Santinha
- Computational Clinical Imaging Group, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Andrada Ianus
- Neuroplasticity and Neural Activity Lab, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.,Centre for Medical Imaging Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Antonio Galzerano
- Pathology Department, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Rita Theias
- Pathology Department, Hospital Fernando Fonseca, Amadora, Portugal
| | - Joana Maia
- Systems Oncology Lab, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Maria J Barata
- Radiology Department, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | | | - Bruno Costa-Silva
- Systems Oncology Lab, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Antonio Beltran
- Pathology Department, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Celso Matos
- Radiology Department, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Noam Shemesh
- Neuroplasticity and Neural Activity Lab, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.
| |
Collapse
|
|
26
|
Imaging predictors of treatment outcomes in rectal cancer: An overview. Crit Rev Oncol Hematol 2018; 129:153-162. [DOI: 10.1016/j.critrevonc.2018.06.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 04/26/2018] [Accepted: 06/13/2018] [Indexed: 12/14/2022] Open
|
|
27
|
Chen LD, Liang JY, Wu H, Wang Z, Li SR, Li W, Zhang XH, Chen JH, Ye JN, Li X, Xie XY, Lu MD, Kuang M, Xu JB, Wang W. Multiparametric radiomics improve prediction of lymph node metastasis of rectal cancer compared with conventional radiomics. Life Sci 2018; 208:55-63. [DOI: 10.1016/j.lfs.2018.07.007] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 07/01/2018] [Accepted: 07/05/2018] [Indexed: 02/07/2023]
|
|
28
|
Banerjee AK, Longcroft-Wheaton G, Beable R, Conti J, Khan J, Bhandari P. The role of imaging and biopsy in the management and staging of large non-pedunculated rectal polyps. Expert Rev Gastroenterol Hepatol 2018; 12:749-755. [PMID: 29940808 DOI: 10.1080/17474124.2018.1492377] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD) are often used for benign and Sm1 large non-pedunculated rectal polyps (LNPRPs), although other surgical techniques including transanal endoscopic microsurgery (TEMS) and transanal minimal invasive surgery remain available. This review covers the role of pre-excisional imaging and selective biopsy of LNPRPs. Areas covered: Polyps between 2 and 3 cm with favorable features (Paris 1, Kudo III/IV pit patterns, and non-lateral spreading type [LST]) may have a one-stage EMR without biopsy and imaging, provided adequate expertise is available with other technologies such as magnifying chromoendoscopy. Higher-risk polyps (moderate/severe dysplasia, 0-IIa+c morphology, nongranular LST, Kudo pit pattern V or submucosal carcinoma, or those >3 cm) should have pre-EMR/ESD imaging with magnetic resonance imaging (MRI) and/or endorectal ultrasound (ERUS) ± biopsies and photographs prior to multidisciplinary team discussion. Expert commentary: In some centers, EMR and ESD are considered the primary modality of treatment, with TEMS as a back-up, while elsewhere, TEMS is the main modality for excision of significant polyps and early colorectal cancer lesions. Likewise, the exact roles of ERUS and MRI will depend on availability of local expertise, although it is suggested that the techniques are complementary.
Collapse
Affiliation(s)
- Anjan K Banerjee
- a Department of Colorectal Surgery , Queen Alexandra Hospital , Portsmouth , UK.,b Department of Surgery and Endoscopy , Care UK North East London Treatment Centre, King Georges Hospital , Ilford , UK
| | - Gaius Longcroft-Wheaton
- c Department of Gastroenterology , Queen Alexandra Hospital , Portsmouth , UK.,f Department of Surgery and Endoscopy , University of Portsmouth , Portsmouth , UK
| | - Richard Beable
- e Department of Radiology , Queen Alexandra Hospital , Portsmouth , UK
| | - John Conti
- a Department of Colorectal Surgery , Queen Alexandra Hospital , Portsmouth , UK.,d Department of Surgery and Endoscopy , University of Southampton , Southampton , UK
| | - Jim Khan
- a Department of Colorectal Surgery , Queen Alexandra Hospital , Portsmouth , UK
| | - Pradeep Bhandari
- c Department of Gastroenterology , Queen Alexandra Hospital , Portsmouth , UK.,f Department of Surgery and Endoscopy , University of Portsmouth , Portsmouth , UK
| |
Collapse
|
|
29
|
de Jong MC, Beckers RCJ, van Woerden V, Sijmons JML, Bemelmans MHA, van Dam RM, Dejong CHC. The liver-first approach for synchronous colorectal liver metastases: more than a decade of experience in a single centre. HPB (Oxford) 2018; 20:631-640. [PMID: 29456199 DOI: 10.1016/j.hpb.2018.01.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2017] [Revised: 10/19/2017] [Accepted: 01/18/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND The feasibility of the liver-first approach for synchronous colorectal liver metastases (CRLM) has been established. We sought to assess the short-term and long-term outcomes for these patients. METHODS Outcomes of patients who underwent a liver-first approach for CRLM between 2005 and 2015 were retrospectively evaluated from a prospective database. RESULTS Of the 92 patients planned to undergo the liver-first strategy, the paradigm could be completed in 76.1%. Patients with concurrent extrahepatic disease failed significantly more often in completing the protocol (67% versus 21%; p = 0.03). Postoperative morbidity and mortality were 31.5% and 3.3% following liver resection and 30.9% and 0% after colorectal surgery. Of the 70 patients in whom the paradigm was completed, 36 patients (51.4%) developed recurrent disease after a median interval of 20.9 months. The median overall survival on an intention-to-treat basis was 33.1 months (3- and 5-year overall survival: 48.5% and 33.1%). Patients who were not able to complete their therapeutic paradigm had a significantly worse overall outcome (p = 0.03). CONCLUSION The liver-first approach is feasible with acceptable perioperative morbidity and mortality rates. Despite the considerable overall-survival-benefit, recurrence rates remain high. Future research should focus on providing selection tools to enable the optimal treatment sequence for each patient with synchronous CRLM.
Collapse
Affiliation(s)
- Mechteld C de Jong
- Department of Surgery - Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands.
| | - Rianne C J Beckers
- Department of Radiology - Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands; GROW - School for Oncology & Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Victor van Woerden
- Department of Surgery - Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
| | - Julie M L Sijmons
- Faculty of Health, Medicine & Life Sciences - Maastricht University, The Netherlands
| | - Marc H A Bemelmans
- Department of Surgery - Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
| | - Ronald M van Dam
- Department of Surgery - Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
| | - Cornelis H C Dejong
- Department of Surgery - Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands; NUTRIM - School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| |
Collapse
|
|
30
|
Chen Y, Yang X, Wen Z, Lu B, Xiao X, Shen B, Yu S. Fat-suppressed gadolinium-enhanced isotropic high-resolution 3D-GRE-T1WI for predicting small node metastases in patients with rectal cancer. Cancer Imaging 2018; 18:21. [PMID: 29784058 PMCID: PMC5963161 DOI: 10.1186/s40644-018-0153-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 05/07/2018] [Indexed: 12/21/2022] Open
Abstract
Background To investigate the application value of fat-suppressed gadolinium-enhanced isotropic high-resolution 3D-GRE-T1WI in regional nodes with different short-axis diameter ranges in rectal cancer, especially in nodes ≤5 mm. Methods Patients with rectal adenocarcinoma confirmed by postoperative histopathology were included, and all the patients underwent preoperative 3.0 T rectal magnetic resonance imaging (MRI) and total mesorectal excision (TME) within 2 weeks after an MR scan. The harvested nodes from specimens were matched with nodes in the field of view (FOV) of images for a node-by-node evaluation. The maximum short-axis diameters of all the visible nodes in the FOV of images were measured by a radiologist; the morphological and enhancement characteristics of these nodes were also independently evaluated by two radiologists. The χ2 test was used to evaluate differences in morphological and enhancement characteristics between benign and malignant nodes. The enhancement characteristics were further compared between benign and malignant nodes with different short-axis diameter ranges using the χ2 test. Kappa statistics were used to describe interobserver agreement. Results A total of 441 nodes from 70 enrolled patients were included in the evaluation, of which 111 nodes were metastatic. Approximately 85.5 and 95.6% of benign nodes were found to have obvious enhancement and homogeneous or mild-heterogeneous enhancement, respectively, whereas approximately 89.2 and 85.1% of malignant nodes showed moderate or mild enhancement and obvious-heterogeneous or rim-like enhancement, respectively. The area under the receiver operating characteristic (ROC) curve (AUC) values of the enhancement degree for identifying the overall nodal status, nodes ≤5 mm and nodes > 5 mm and ≤ 10 mm were 0.887, 0.859 and 0.766 for radiologist 1 and 0.892, 0.823 and 0.774 for radiologist 2, respectively. The AUCs of enhancement homogeneity were 0.940, 0.928 and 0.864 for radiologist 1 and 0.944, 0.938 and 0.842 for radiologist 2, respectively. Nodal border and signal homogeneity were also of certain value in distinguishing metastatic nodes. Conclusions Enhancement characteristics based on fat-suppressed gadolinium-enhanced isotropic high-resolution 3D-GRE-T1WI were helpful for diagnosing metastatic nodes in rectal cancer and were a reliable indicator for nodes ≤5 mm.
Collapse
Affiliation(s)
- Yan Chen
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, 510080, China
| | - Xinyue Yang
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, 510080, China
| | - Ziqiang Wen
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, 510080, China
| | - Baolan Lu
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, 510080, China
| | - Xiaojuan Xiao
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Bingqi Shen
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, 510080, China
| | - Shenping Yu
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, 510080, China.
| |
Collapse
|
|
31
|
Delli Pizzi A, Basilico R, Cianci R, Seccia B, Timpani M, Tavoletta A, Caposiena D, Faricelli B, Gabrielli D, Caulo M. Rectal cancer MRI: protocols, signs and future perspectives radiologists should consider in everyday clinical practice. Insights Imaging 2018; 9:405-412. [PMID: 29675627 PMCID: PMC6108973 DOI: 10.1007/s13244-018-0606-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 01/17/2018] [Accepted: 02/06/2018] [Indexed: 12/18/2022] Open
Abstract
Abstract Magnetic resonance imaging (MRI) allows to non-invasively evaluate rectal cancer staging and to assess the presence of “prognostic signs” such as the distance from the anorectal junction, the mesorectal fascia infiltration and the extramural vascular invasion. Moreover, MRI plays a crucial role in the assessment of treatment response after chemo-radiation therapy, especially considering the growing interest in the new conservative policy (wait and see, minimally invasive surgery). We present a practical overview regarding the state of the art of the MRI protocol, the main signs that radiologists should consider for their reports during their clinical activity and future perspectives. Teaching Points • MRI protocol for rectal cancer staging and re-staging. • MRI findings that radiologists should consider for reports during everyday clinical activity. • Perspectives regarding the development of latest technologies.
Collapse
Affiliation(s)
- Andrea Delli Pizzi
- ITAB Institute of Advanced Biomedical Technologies, University "G. d'Annunzio", Via Luigi Polacchi, 11 66100, Chieti, Italy.
| | - Raffaella Basilico
- SS Annunziata Hospital, Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio", 66100, Chieti, Italy
| | - Roberta Cianci
- SS Annunziata Hospital, Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio", 66100, Chieti, Italy
| | - Barbara Seccia
- SS Annunziata Hospital, Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio", 66100, Chieti, Italy
| | - Mauro Timpani
- SS Annunziata Hospital, Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio", 66100, Chieti, Italy
| | - Alessandra Tavoletta
- SS Annunziata Hospital, Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio", 66100, Chieti, Italy
| | - Daniele Caposiena
- SS Annunziata Hospital, Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio", 66100, Chieti, Italy
| | - Barbara Faricelli
- SS Annunziata Hospital, Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio", 66100, Chieti, Italy
| | - Daniela Gabrielli
- SS Annunziata Hospital, Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio", 66100, Chieti, Italy
| | - Massimo Caulo
- ITAB Institute of Advanced Biomedical Technologies, University "G. d'Annunzio", Via Luigi Polacchi, 11 66100, Chieti, Italy
| |
Collapse
|
|
32
|
Fowler KJ, Kaur H, Cash BD, Feig BW, Gage KL, Garcia EM, Hara AK, Herman JM, Kim DH, Lambert DL, Levy AD, Peterson CM, Scheirey CD, Small W, Smith MP, Lalani T, Carucci LR. ACR Appropriateness Criteria ® Pretreatment Staging of Colorectal Cancer. J Am Coll Radiol 2018; 14:S234-S244. [PMID: 28473079 DOI: 10.1016/j.jacr.2017.02.012] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 01/27/2017] [Accepted: 02/02/2017] [Indexed: 12/17/2022]
Abstract
Colorectal cancers are common tumors in the United States and appropriate imaging is essential to direct appropriate care. Staging and treatment differs between tumors arising in the colon versus the rectum. Local staging for colon cancer is less integral to directing therapy given radical resection is often standard. Surgical options for rectal carcinoma are more varied and rely on accurate assessment of the sphincter, circumferential resection margins, and peritoneal reflection. These important anatomic landmarks are best appreciated on high-resolution imaging with transrectal ultrasound or MRI. When metastatic disease is suspected, imaging modalities that provide a global view of the body, such as CT with contrast or PET/CT may be indicated. Rectal cancer often metastasizes to the liver and so MRI of the liver with and without contrast provides accurate staging for liver metastases. This article focuses on local and distant staging and reviews the appropriateness of different imaging for both variants. 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 include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
Collapse
Affiliation(s)
- Kathryn J Fowler
- Principal Author, Mallinckrodt Institute of Radiology, Saint Louis, Missouri.
| | - Harmeet Kaur
- Co-author, University of Texas, MD Anderson Cancer Center, Houston, Texas
| | - Brooks D Cash
- University of South Alabama, Mobile, Alabama; American Gastroenterological Association
| | - Barry W Feig
- University of Texas MD Anderson Cancer Center, Houston, Texas; American College of Surgeons
| | | | - Evelyn M Garcia
- Virginia Tech Carilion School of Medicine, Roanoke, Virginia
| | | | - Joseph M Herman
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, Maryland
| | - David H Kim
- University of Wisconsin Hospital and Clinic, Madison, Wisconsin
| | - Drew L Lambert
- University of Virginia Health System, Charlottesville, Virginia
| | - Angela D Levy
- Georgetown University Hospital, Washington, District of Columbia
| | | | | | - William Small
- Stritch School of Medicine Loyola University Chicago, Maywood, Illinois
| | - Martin P Smith
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Tasneem Lalani
- Speciality Chair, Inland Imaging Associates and University of Washington, Seattle, Washington
| | - Laura R Carucci
- Panel Chair, Virginia Commonwealth University Medical Center, Richmond, Virginia
| |
Collapse
|
|
33
|
van Nijnatten T, Schipper R, Lobbes M, van Roozendaal L, Vöö S, Moossdorff M, Paiman ML, de Vries B, Keymeulen K, Wildberger J, Smidt M, Beets-Tan R. Diagnostic performance of gadofosveset-enhanced axillary MRI for nodal (re)staging in breast cancer patients: results of a validation study. Clin Radiol 2018; 73:168-175. [DOI: 10.1016/j.crad.2017.09.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 09/05/2017] [Accepted: 09/11/2017] [Indexed: 11/16/2022]
|
|
34
|
Liu Y, Wang R, Ding Y, Tu S, Liu Y, Qian Y, Xu L, Tong T, Cai S, Peng J. A predictive nomogram improved diagnostic accuracy and interobserver agreement of perirectal lymph nodes metastases in rectal cancer. Oncotarget 2018; 7:14755-64. [PMID: 26910373 PMCID: PMC4924749 DOI: 10.18632/oncotarget.7548] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Accepted: 01/29/2016] [Indexed: 12/19/2022] Open
Abstract
Objective To develop a predictive nomogram to improve the diagnostic accuracy and interobserver agreement of pre-therapeutic lymph nodes metastases in patients with rectal cancer. Materials and Methods An institutional database of 411 patients with rectal cancer was used to develop a nomogram to predict perirectal lymph nodes metastases. Patients' clinicopathological and MRI-assessed imaging variables were included in the multivariate logistic regression analysis. The model was externally validated and the performance was assessed by area under curve (AUC) of the receiver operator characteristics (ROC) curves. The interobserver agreement was measured between two independent radiologists. Results The diagnostic accuracy of the conventional MRI-assessed cN stage was 68%; 14.2% of the patients were over-staged and 17.8% of the patients were under-staged. A total of 35.1% of the patients had disagreed diagnosis for the cN stage between the two radiologists, with a kappa value of 0.295. A nomogram for predicting pathological lymph nodes metastases was successfully developed, with an AUC of 0.78 on the training data and 0.71 on the validation data. The predictors included in the nomogram were MRI cT stage, CRM involvement, preoperative CEA, tumor grade and lymph node size category. This nomogram yielded improved prediction in cN stage than the conventional MRI-based assessment. Conclusions By incorporating clinicopathological and MRI imaging features, we established a nomogram that improved the diagnostic accuracy and remarkably minimized the interobserver disagreement in predicting lymph nodes metastases in rectal cancers.
Collapse
Affiliation(s)
- Yongfeng Liu
- Institute of Health Sciences, Shanghai Jiao Tong University School of Medicine (SJTUSM) and Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, China
| | - Renjie Wang
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Ding
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Shanshan Tu
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yi Liu
- Department of Statistics, Ohio State University, Columbus, OH, USA
| | - Youcun Qian
- Institute of Health Sciences, Shanghai Jiao Tong University School of Medicine (SJTUSM) and Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, China
| | - Linghui Xu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Tong Tong
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Sanjun Cai
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Junjie Peng
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| |
Collapse
|
|
35
|
Surgery is essential in squamous cell cancer of the rectum. Langenbecks Arch Surg 2017; 402:1055-1062. [DOI: 10.1007/s00423-017-1614-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 08/02/2017] [Indexed: 12/14/2022]
|
|
36
|
Dijkhoff RAP, Maas M, Martens MH, Papanikolaou N, Lambregts DMJ, Beets GL, Beets-Tan RGH. Correlation between quantitative and semiquantitative parameters in DCE-MRI with a blood pool agent in rectal cancer: can semiquantitative parameters be used as a surrogate for quantitative parameters? Abdom Radiol (NY) 2017; 42:1342-1349. [PMID: 28050622 DOI: 10.1007/s00261-016-1024-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE The aim of this study was to assess correlation between quantitative and semiquantitative parameters in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in rectal cancer patients, both in a primary staging and restaging setting. MATERIALS AND METHODS Nineteen patients were included with DCE-MRI before and/or after neoadjuvant therapy. DCE-MRI was performed with gadofosveset trisodium (Ablavar®, Lantheus Medical Imaging, North Billerica, Massachusetts, USA). Regions of interest were placed in the tumor and quantitative parameters were extracted with Olea Sphere 2.2 software permeability module using the extended Tofts model. Semiquantitative parameters were calculated on a pixel-by-pixel basis. Spearman rank correlation tests were used for assessment of correlation between parameters. A p value ≤0.05 was considered statistically significant. RESULTS Strong positive correlations were found between mean peak enhancement and mean K trans: 0.79 (all patients, p<0.0001), 0.83 (primary staging, p = 0.003), and 0.81 (restaging, p = 0.054). Mean wash-in correlated significantly with mean V p and K ep (0.79 and 0.58, respectively, p<0.0001 and p = 0.009) in all patients. Mean wash-in showed a significant correlation with mean K ep (0.67, p = 0.033) in the primary staging group. On the restaging MRI, mean wash-in only strongly correlated with mean V p (0.81, p = 0.054). CONCLUSION This study shows a strong correlation between quantitative and semiquantitative parameters in DCE-MRI for rectal cancer. Peak enhancement correlates strongly with K trans and wash-in showed strong correlation with V p and K ep. These parameters have been reported to predict tumor aggressiveness and response in rectal cancer. Therefore, semiquantitative analyses might be a surrogate for quantitative analyses.
Collapse
Affiliation(s)
- Rebecca A P Dijkhoff
- Department of Radiology, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1066 CX, Amsterdam, The Netherlands.
| | - Milou H Martens
- Department of Surgery, Zuyderland Medical Centre, P.O. Box 5500, 6130 MB, Sittard, The Netherlands
| | - Nikolaos Papanikolaou
- Division for Medical Imaging and Technology, Institute for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Doenja M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1066 CX, Amsterdam, The Netherlands
| | - Geerard L Beets
- Department of Surgery, The Netherlands Cancer Institute, P.O. Box 90203, 1066 CX, Amsterdam, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1066 CX, Amsterdam, The Netherlands
| |
Collapse
|
|
37
|
Chemical shift effect predicting lymph node status in rectal cancer using high-resolution MR imaging with node-for-node matched histopathological validation. Eur Radiol 2017; 27:3845-3855. [DOI: 10.1007/s00330-017-4738-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Revised: 12/12/2016] [Accepted: 01/03/2017] [Indexed: 02/06/2023]
|
|
38
|
Kairdolf BA, Qian X, Nie S. Bioconjugated Nanoparticles for Biosensing, in Vivo Imaging, and Medical Diagnostics. Anal Chem 2017; 89:1015-1031. [DOI: 10.1021/acs.analchem.6b04873] [Citation(s) in RCA: 106] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Brad A. Kairdolf
- Department of Biomedical
Engineering, Emory University and Georgia Institute of Technology, 1760 Haygood Drive, Atlanta, Georgia 30322, United States
| | - Ximei Qian
- Department of Biomedical
Engineering, Emory University and Georgia Institute of Technology, 1760 Haygood Drive, Atlanta, Georgia 30322, United States
| | - Shuming Nie
- Department of Biomedical
Engineering, Emory University and Georgia Institute of Technology, 1760 Haygood Drive, Atlanta, Georgia 30322, United States
| |
Collapse
|
|
39
|
Tripathi P, Rao SX, Zeng MS. Clinical value of MRI-detected extramural venous invasion in rectal cancer. J Dig Dis 2017; 18:2-12. [PMID: 28009094 DOI: 10.1111/1751-2980.12439] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 12/10/2016] [Accepted: 12/19/2016] [Indexed: 12/11/2022]
Abstract
Extramural venous invasion (EMVI) is associated with a poor prognosis and a poor overall survival rate in rectal cancer. It can independently predict local and distant tumor recurrences. Preoperative EMVI detection in rectal cancer is useful for determining the treatment strategy. EMVI status is beneficial for the post-treatment evaluation and analysis of rectal cancer. Magnetic resonance imaging (MRI) is a non-invasive diagnostic modality with no radiation effects. High-resolution MRI can detect EMVI with high accuracy. In addition, MRI results are equal to or even better than pathological results in the detection of medium to large EMVI in rectal cancer. MRI-detected EMVI (mrEMVI) can be used as a potential biomarker that facilitates treatment methods. This review highlights the importance of MRI before and after rectal cancer treatment. In addition, we analyze the prognostic correlation between mrEMVI and circulating tumor cells (CTC) in rectal cancer. This article may help shed light on the significance of mrEMVI.
Collapse
Affiliation(s)
- Pratik Tripathi
- Department of Radiology, Zhongshan Hospital and Department of Medical Imaging, Shanghai Medical College, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
| | - Sheng Xiang Rao
- Department of Radiology, Zhongshan Hospital and Department of Medical Imaging, Shanghai Medical College, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
| | - Meng Su Zeng
- Department of Radiology, Zhongshan Hospital and Department of Medical Imaging, Shanghai Medical College, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
| |
Collapse
|
|
40
|
Zhang Y, Wang J, Cheng J, Qiao Y, Huang G, Zhu J, He D. Progress of Lymph-Targeted Contrast Agents and Their Application in Diagnosis of Tumor Lymphatic Metastasis. ACTA ACUST UNITED AC 2017. [DOI: 10.21127/yaoyigc20160003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
|
|
41
|
DWI for Assessment of Rectal Cancer Nodes After Chemoradiotherapy: Is the Absence of Nodes at DWI Proof of a Negative Nodal Status? AJR Am J Roentgenol 2016; 208:W79-W84. [PMID: 27959622 DOI: 10.2214/ajr.16.17117] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE When considering organ preservation in patients with rectal cancer with good tumor response, assessment of a node-negative status after chemoradiation therapy (CRT) is important. DWI is a very sensitive technique to detect nodes. The study aim was to test the hypothesis that the absence of nodes at DWI after CRT is concordant with a ypN0 status. MATERIALS AND METHODS A retrospective study was performed of 90 patients with rectal cancer treated with CRT followed by restaging MRI at 1.5 T, including DWI (highest b value, 1000 s/mm2). Two independent readers counted the number of nodes visible in the mesorectal compartment on DW images obtained after CRT. The number of nodes on DWI (0 vs ≥ 1) was compared with the number of metastatic nodes at histopathology or long-term clinical follow-up (yN0 vs yN-positive status). RESULTS Seventy-one patients had a yN0 status, and 19 had a yN-positive status. For 10 patients, no nodes were observed at DWI, which was concordant with a yN0 status in 100% of cases. In the other 61 patients with a yN0 status, the median number of nodes detected at DWI was three (range, 1-17 nodes). To differentiate between yN0 and yN-positive status, sensitivity was 100%, specificity was 14%, the positive predictive value was 24%, and the negative predictive value was 100%. CONCLUSION Although the absence of nodes at DWI is not a frequent finding, it appears to be a reliable predictor of yN0 status after CRT in patients with rectal cancer. DWI may thus be a helpful adjunct in assessing response after CRT and may help select patients for organ-saving treatment.
Collapse
|
|
42
|
Sasaki K, Margonis GA, Andreatos N, Kim Y, Wilson A, Gani F, Amini N, Pawlik TM. Combined resection and RFA in colorectal liver metastases: stratification of long-term outcomes. J Surg Res 2016; 206:182-189. [DOI: 10.1016/j.jss.2016.06.098] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2016] [Revised: 05/28/2016] [Accepted: 06/26/2016] [Indexed: 12/12/2022]
|
|
43
|
Abstract
INTRODUCTION The treatment of rectal cancer has diversified in recent years, presenting the clinician and patient with increasingly challenging management decisions. At the heart of this decision-making process are two competing interests; more radical but more morbid treatments which optimize oncological outcome, and less radical treatments which preserve organs and function but may pose a greater risk of disease recurrence. AREAS COVERED Imaging plays a vital role informing this decision-making process, both by providing prognostic details about the cancer before the start of treatment and by updating this picture as the cancer responds or fails to respond to treatment. There is a range of available imaging modalities, each with its strengths and weaknesses. Optimizing rectal cancer treatment requires a clear understanding of the important questions that imaging needs to answer and the optimum imaging strategy. Expert Commentary: This article provides an evidence-based review of the available imaging techniques and an expert commentary on the best imaging strategy.
Collapse
Affiliation(s)
- Chris Hunter
- a Department of Colorectal Surgery , Hull and East Yorkshire NHS Trust , Hull , UK.,b Department of Surgery and Cancer , Imperial College London , London , UK
| | - Gina Brown
- b Department of Surgery and Cancer , Imperial College London , London , UK.,c Department of Academic Radiology , The Royal Marsden Hospital , Sutton , UK
| |
Collapse
|
|
44
|
Liu L, Yang L, Jin E, Wang Z, Yang Z. Effect of gadolinium contrast-enhanced T1-weighted magnetic resonance imaging for detecting extramural venous invasion in rectal cancer. Abdom Radiol (NY) 2016; 41:1736-43. [PMID: 27125200 DOI: 10.1007/s00261-016-0740-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE To evaluate the performance of gadolinium contrast-enhanced T1-weighted magnetic resonance imaging (CET1WI) in addition to high-resolution T2-weighted imaging (HRT2WI) for preoperative detection of extramural venous invasion (EMVI) in rectal cancer. METHODS Fifty-nine patients with rectal cancer who underwent preoperative MRI were included in this study. The likelihood of EMVI was retrospectively scored by two readers on CET1WI, HRT2WI, and HRT2WI + CET1WI, using a subjective five-point scale ranging from 0 to 4. The pathological status of EMVI was used as a standard reference. Diagnostic parameters, including area under the receiver operating curve (AUC), sensitivity, and specificity, were calculated, and the diagnostic performances of HRT2WI and HRT2WI + CET1WI were compared. Interobserver variance was also evaluated. RESULTS Eighteen (30.5%) patients showed pathological EMVI. During EMVI detection, reader A obtained an AUC of 0.768, sensitivity of 72.5%, and specificity of 73.2% from HRT2WI alone; after combination with CET1WI, these values improved to 0.864, 83.3%, and 75.6%, respectively. Differences in AUC between these techniques were not significant (p = 0.056). Reader B obtained an AUC of 0.833, sensitivity of 77.8%, and specificity of 73.2% from HRT2WI alone; after combination with CET1W1, these figures were adjusted to 0.720, 50%, and 78%; differences in AUC between techniques were significant (p = 0.027). Interobserver agreement during EMVI scoring was good for HRT2WI (κ = 0.603) and moderate for HRT2WI + CET1WI (κ = 0.413). CONCLUSIONS Although interobserver agreement decreased, combination of CET1WI with HRT2WI could improve EMVI detection.
Collapse
Affiliation(s)
- Liheng Liu
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Yong'an Road 95, Beijing, 100050, People's Republic of China
- Department of Radiology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, People's Republic of China
| | - Linke Yang
- Department of Pathology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, People's Republic of China
| | - Erhu Jin
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Yong'an Road 95, Beijing, 100050, People's Republic of China.
| | - Zhenchang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Yong'an Road 95, Beijing, 100050, People's Republic of China
| | - Zhenghan Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Yong'an Road 95, Beijing, 100050, People's Republic of China
| |
Collapse
|
|
45
|
Belluco C, Forlin M, Olivieri M, Cannizzaro R, Canzonieri V, Buonadonna A, Bidoli E, Matrone F, Bertola G, De Paoli A. Long-Term Outcome of Rectal Cancer With Clinically (EUS/MRI) Metastatic Mesorectal Lymph Nodes Treated by Neoadjuvant Chemoradiation: Role of Organ Preservation Strategies in Relation to Pathologic Response. Ann Surg Oncol 2016; 23:4302-4309. [PMID: 27489059 PMCID: PMC5090010 DOI: 10.1245/s10434-016-5451-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Indexed: 12/14/2022]
Abstract
BACKGROUND Organ preservation strategies are under investigation for patients with locally advanced rectal cancer (LARC) who achieve a complete pathologic response in the primary tumor (ypT0) after neoadjuvant chemoradiation therapy (CRT). This study explored the value of this approach for cN+ patients. METHODS Data were retrieved from our institutional prospective rectal cancer database. Tumors with mesorectal lymph nodes larger than 5 mm shown on endorectal ultrasonography, pelvic magnetic resonance imaging, or both were staged as cN+. RESULTS The study population comprised 226 patients (142 men and 84 women; median age, 64 years) with LARC who underwent CRT followed by surgery including total mesorectal excision (TME) (n = 179) and full-thickness local excision (LE) (n = 47) between 1996 and 2013. At staging, 123 patients (54.4 %) were cN+. In 65 cases (28.7 %), ypCR was observed. Metastatic mesorectal lymph nodes (ypN+) were detected in 41.6 % of the cN+ patients and in 2.8 % of the cN0 patients (P < 0.01). Among the cN+ patients, 16 % of the ypT0 cases were ypN+ compared with 51.8 % of the no-ypT0 cases (P < 0.01). Among the cN+ patients who underwent TME, the 5-year disease-specific survival (DSS) and disease-free survival (DFS) rates were respectively 100 and 91.6 % for the ypT0 patients compared with 71.2 and 58.0 % for the no-ypT0 patients (P = 0.01). Among the ypN+ patients, the 5-year DSS and DFS rates were both 100 % for the ypT0 cases compared with 59.1 and 43.3 % for the no-ypT0 patients. Among the cN+ and ypT0 patients, the 5-year DSS and DFS were respectively 100 and 85.7 % for the TME patients compared with 100 and 91.6 % for the LE patients. In the multivariate analysis, ypT0 was the only independent prognostic factor. CONCLUSIONS Protocols aimed at organ preservation in LARC that achieve ypT0 after CRT can be offered also to cN+ patients.
Collapse
Affiliation(s)
- Claudio Belluco
- Department of Surgical Oncology, CRO-IRCCS, National Cancer Institute, Aviano, Italy.
| | - Marco Forlin
- Department of Surgical Oncology, CRO-IRCCS, National Cancer Institute, Aviano, Italy
| | - Matteo Olivieri
- Department of Surgical Oncology, CRO-IRCCS, National Cancer Institute, Aviano, Italy
| | - Renato Cannizzaro
- Department of Gastroenterology, CRO-IRCCS, National Cancer Institute, Aviano, Italy
| | - Vincenzo Canzonieri
- Department of Pathology, CRO-IRCCS, National Cancer Institute, Aviano, Italy
| | - Angela Buonadonna
- Department of Medical Oncology, CRO-IRCCS, National Cancer Institute, Aviano, Italy
| | - Ettore Bidoli
- Department of Epidemiology, CRO-IRCCS, National Cancer Institute, Aviano, Italy
| | - Fabio Matrone
- Department of Radiation Oncology, CRO-IRCCS, National Cancer Institute, Aviano, Italy
| | - Giulio Bertola
- Department of Surgical Oncology, CRO-IRCCS, National Cancer Institute, Aviano, Italy
| | - Antonino De Paoli
- Department of Radiation Oncology, CRO-IRCCS, National Cancer Institute, Aviano, Italy
| |
Collapse
|
|
46
|
Heijnen LA, Lambregts DMJ, Lahaye MJ, Martens MH, van Nijnatten TJA, Rao SX, Riedl RG, Buijsen J, Maas M, Beets GL, Beets-Tan RGH. Good and complete responding locally advanced rectal tumors after chemoradiotherapy: where are the residual positive nodes located on restaging MRI? Abdom Radiol (NY) 2016; 41:1245-52. [PMID: 26814499 PMCID: PMC4912594 DOI: 10.1007/s00261-016-0640-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
PURPOSE Aim of this study was to evaluate the distribution of persistent mesorectal lymph node metastases on restaging MRI in patients with a good or complete response of their primary tumor (ypT0-2) after CRT for locally advanced rectal cancer. METHODS Two hundred and twenty eight locally advanced rectal cancer patients underwent CRT, which resulted in a good response (downstaging to yT0-2) in 144 patients. Forty-nine patients were excluded (no surgery/insufficient follow-up or lacking lesion-by-lesion histology results). This resulted in a final study group of 95 yT0-2 patients. For the patients with a yN(+)-status, a detailed lesion-by-lesion comparison between restaging MRI and histology was performed to evaluate the characteristics and distribution of the individual N(+)-nodes. RESULTS 7/95 patients (7%) had a yT0-2N(+) status (11/880 (1%) N(+) nodes): no N(+) were found below the tumor level, 55% of the N(+) nodes were located at the level of the tumor, and 45% proximal to the tumor (at a median distance of 1.4 cm above the tumor level). In axial plane, 82% of the nodes were located at the ipsilateral circumference of the tumor, at a median distance of 0.9 cm from the tumor/rectal wall. CONCLUSIONS The incidence of persistent metastatic mesorectal nodes after CRT in patients with a good tumor response after CRT is very low. No N(+) nodes are found below the tumor level. All N(+) nodes are located at the level of or proximal to the primary tumor, of which the majority very close to the tumor/lumen.
Collapse
Affiliation(s)
- Luc A Heijnen
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Doenja M J Lambregts
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands.
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Max J Lahaye
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Milou H Martens
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | | | - Sheng-Xiang Rao
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Robert G Riedl
- Department of Pathology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jeroen Buijsen
- Department of Radiation Oncology, Maastro Clinic, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Monique Maas
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Geerard L Beets
- Department of Surgery, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht, The Netherlands
| |
Collapse
|
|
47
|
Peerlings J, Troost EGC, Nelemans PJ, Cobben DCP, de Boer JCJ, Hoffmann AL, Beets-Tan RGH. The Diagnostic Value of MR Imaging in Determining the Lymph Node Status of Patients with Non-Small Cell Lung Cancer: A Meta-Analysis. Radiology 2016; 281:86-98. [PMID: 27110732 DOI: 10.1148/radiol.2016151631] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Purpose To summarize existing evidence of thoracic magnetic resonance (MR) imaging in determining the nodal status of non-small cell lung cancer (NSCLC) with the aim of elucidating its diagnostic value on a per-patient basis (eg, in treatment decision making) and a per-node basis (eg, in target volume delineation for radiation therapy), with results of cytologic and/or histologic examination as the reference standard. Materials and Methods A systematic literature search for original diagnostic studies was performed in PubMed, Web of Science, Embase, and MEDLINE. The methodologic quality of each study was evaluated by using the Quality Assessment of Diagnostic Accuracy Studies 2, or QUADAS-2, tool. Hierarchic summary receiver operating characteristic curves were generated to estimate the diagnostic performance of MR imaging. Subgroup analyses, expressed as relative diagnostic odds ratios (DORs) (rDORs), were performed to evaluate whether publication year, methodologic quality, and/or method of evaluation (qualitative [ie, lesion size and/or morphology] vs quantitative [eg, apparent diffusion coefficients in diffusion-weighted images]) affected diagnostic performance. Results Twelve of 2551 initially identified studies were included in this meta-analysis (1122 patients; 4302 lymph nodes). On a per-patient basis, the pooled estimates of MR imaging for sensitivity, specificity, and DOR were 0.87 (95% confidence interval [CI]: 0.78, 0.92), 0.88 (95% CI: 0.77, 0.94), and 48.1 (95% CI: 23.4, 98.9), respectively. On a per-node basis, the respective measures were 0.88 (95% CI: 0.78, 0.94), 0.95 (95% CI: 0.87, 0.98), and 129.5 (95% CI: 49.3, 340.0). Subgroup analyses suggested greater diagnostic performance of quantitative evaluation on both a per-patient and per-node basis (rDOR = 2.76 [95% CI: 0.83, 9.10], P = .09 and rDOR = 7.25 [95% CI: 1.75, 30.09], P = .01, respectively). Conclusion This meta-analysis demonstrated high diagnostic performance of MR imaging in staging hilar and mediastinal lymph nodes in NSCLC on both a per-patient and per-node basis. (©) RSNA, 2016 Online supplemental material is available for this article.
Collapse
Affiliation(s)
- Jurgen Peerlings
- From the Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology (J.P., E.G.C.T., A.L.H.), Department of Radiology (J.P., R.G.H.B.), and Department of Epidemiology (P.J.N.), Maastricht University Medical Centre, Dr. Tanslaan 12, 6229 ET Maastricht, the Netherlands; Department of Radiation Oncology, University Medical Centre, Utrecht, the Netherlands (D.C.P.C., J.C.J.d.B.); and Department of Radiation Oncology, Dr Bernard Verbeeten Institute, Tilburg, the Netherlands (D.C.P.C.)
| | - Esther G C Troost
- From the Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology (J.P., E.G.C.T., A.L.H.), Department of Radiology (J.P., R.G.H.B.), and Department of Epidemiology (P.J.N.), Maastricht University Medical Centre, Dr. Tanslaan 12, 6229 ET Maastricht, the Netherlands; Department of Radiation Oncology, University Medical Centre, Utrecht, the Netherlands (D.C.P.C., J.C.J.d.B.); and Department of Radiation Oncology, Dr Bernard Verbeeten Institute, Tilburg, the Netherlands (D.C.P.C.)
| | - Patricia J Nelemans
- From the Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology (J.P., E.G.C.T., A.L.H.), Department of Radiology (J.P., R.G.H.B.), and Department of Epidemiology (P.J.N.), Maastricht University Medical Centre, Dr. Tanslaan 12, 6229 ET Maastricht, the Netherlands; Department of Radiation Oncology, University Medical Centre, Utrecht, the Netherlands (D.C.P.C., J.C.J.d.B.); and Department of Radiation Oncology, Dr Bernard Verbeeten Institute, Tilburg, the Netherlands (D.C.P.C.)
| | - David C P Cobben
- From the Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology (J.P., E.G.C.T., A.L.H.), Department of Radiology (J.P., R.G.H.B.), and Department of Epidemiology (P.J.N.), Maastricht University Medical Centre, Dr. Tanslaan 12, 6229 ET Maastricht, the Netherlands; Department of Radiation Oncology, University Medical Centre, Utrecht, the Netherlands (D.C.P.C., J.C.J.d.B.); and Department of Radiation Oncology, Dr Bernard Verbeeten Institute, Tilburg, the Netherlands (D.C.P.C.)
| | - Johannes C J de Boer
- From the Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology (J.P., E.G.C.T., A.L.H.), Department of Radiology (J.P., R.G.H.B.), and Department of Epidemiology (P.J.N.), Maastricht University Medical Centre, Dr. Tanslaan 12, 6229 ET Maastricht, the Netherlands; Department of Radiation Oncology, University Medical Centre, Utrecht, the Netherlands (D.C.P.C., J.C.J.d.B.); and Department of Radiation Oncology, Dr Bernard Verbeeten Institute, Tilburg, the Netherlands (D.C.P.C.)
| | - Aswin L Hoffmann
- From the Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology (J.P., E.G.C.T., A.L.H.), Department of Radiology (J.P., R.G.H.B.), and Department of Epidemiology (P.J.N.), Maastricht University Medical Centre, Dr. Tanslaan 12, 6229 ET Maastricht, the Netherlands; Department of Radiation Oncology, University Medical Centre, Utrecht, the Netherlands (D.C.P.C., J.C.J.d.B.); and Department of Radiation Oncology, Dr Bernard Verbeeten Institute, Tilburg, the Netherlands (D.C.P.C.)
| | - Regina G H Beets-Tan
- From the Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology (J.P., E.G.C.T., A.L.H.), Department of Radiology (J.P., R.G.H.B.), and Department of Epidemiology (P.J.N.), Maastricht University Medical Centre, Dr. Tanslaan 12, 6229 ET Maastricht, the Netherlands; Department of Radiation Oncology, University Medical Centre, Utrecht, the Netherlands (D.C.P.C., J.C.J.d.B.); and Department of Radiation Oncology, Dr Bernard Verbeeten Institute, Tilburg, the Netherlands (D.C.P.C.)
| |
Collapse
|
|
48
|
Abstract
Preoperative chemoradiotherapy (CRT) followed by total mesorectal excision has been the standard of care for locally advanced patients with rectal cancer. Some patients achieve a pathologic complete response (pCR) to CRT and the oncologic outcomes are particularly favorable in this group. The role of surgery in patients with a pCR is now being questioned as radical rectal resection is associated with significant morbidity and long-term effects on quality of life. In an attempt to better tailor therapy, there is an interest in a "watch-and-wait" approach in patients who have a clinical complete response (cCR) after CRT with the goal of omitting surgery and allowing for organ preservation. However, a cCR does not always indicate a pCR, and improved clinical and imaging modalities are needed to better predict which patients have achieved a pCR and therefore can safely undergo a "watch-and-wait" approach. This article reviews the current data on nonoperative management and on-going controversies associated with this approach.
Collapse
|
|
49
|
Nodal staging in rectal cancer: why is restaging after chemoradiation more accurate than primary nodal staging? Int J Colorectal Dis 2016; 31:1157-62. [PMID: 27055660 PMCID: PMC4867151 DOI: 10.1007/s00384-016-2576-8] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/22/2016] [Indexed: 02/04/2023]
Abstract
PURPOSE This study aims to explore the influence of chemoradiation treatment (CRT) on rectal cancer nodes and to generate hypotheses why nodal restaging post-CRT is more accurate than at primary staging. METHODS Thirty-nine patients with locally advanced rectal cancer underwent MRI pre- and post-CRT. All visible mesorectal nodes were measured on a 3D T1-weighted gradient echo (3D T1W GRE) sequence with 1-mm(3) voxels and matched between pre- and post-CRT-MRI and with histology by lesion-by-lesion matching. Change in number and size of nodes was compared between pre- and post-CRT-MRI. ROC curves were constructed to assess diagnostic performance of size. RESULTS Eight hundred ninety-five nodes were found pre-CRT: 44 % disappeared and 40 % became smaller post-CRT. Disappearing nodes were initially significantly smaller than nodes that remained visible post-CRT: 2.9 mm vs. 3.8 mm. cN+ stage was predicted in 97 % pre-CRT and 36 % of patients had ypN+ post-CRT. ypN+ patients had significantly larger nodes than ypN0 patients both pre- and post-CRT. Optimal size cutoff for post-CRT ypN stage prediction was 2.5 mm (area under the curve (AUC) of 0.78) at MRI. CONCLUSIONS After CRT, most lymph nodes become smaller, and many disappear. Size predicts disappearance and node positivity. Together with a low prevalence of ypN+, this can explain the higher accuracy of nodal staging after CRT than in a primary staging setting, possibly of use when considering organ-preserving strategies after CRT.
Collapse
|
|
50
|
The accuracy of MRI, endorectal ultrasonography, and computed tomography in predicting the response of locally advanced rectal cancer after preoperative therapy: A metaanalysis. Surgery 2015; 159:688-99. [PMID: 26619929 DOI: 10.1016/j.surg.2015.10.019] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 10/07/2015] [Accepted: 10/16/2015] [Indexed: 12/15/2022]
Abstract
BACKGROUND To perform a metaanalysis to determine and compare the diagnostic performance of MRI, endorectal ultrasonography (ERUS), and computed tomography (CT) in predicting the response of locally advanced rectal cancer after preoperative therapy. METHODS All previously published articles on the role of MRI, CT, and/or ERUS in predicting the response of rectal cancer to preoperative therapy were collected. We divided the objective in 3 parts: the accuracy to assess (i) complete response, (ii) to detect T4 tumors with invasion to the circumferential resection margin (CRM), and (iii) to predict the presence of lymph node metastasis. The pooled estimates of, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated using a bivariate mixed effect analysis. RESULTS Forty-six studies comprising 2,224 patients were included. (i) The pooled accuracy to assess complete tumor response were (a) 75% for MRI, (b) 82% for ERUS, (c) and 83% for CT. (ii) Pooled accuracy to detect T4 tumors with invasion to the CRM were (a) 88% and (b) 94% for ERUS. (iii) Pooled accuracy to predict the presence of lymph node metastasis was (a) 72% for MRI, (b) 72% for ERUS, (c) and 65% for CT. CONCLUSION MRI, CT, and ERUS cannot be used to predict complete response of locally advanced rectal cancer after CRT. In addition, the positive predictive value for these imaging techniques is low for the assessment of tumor invasion in the CRM. The accuracy of the modalities to predict the presence of metastatic lymph node disease is also low.
Collapse
|