BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Inchingolo R, Maino C, Cannella R, Vernuccio F, Cortese F, Dezio M, Pisani AR, Giandola T, Gatti M, Giannini V, Ippolito D, Faletti R. Radiomics in colorectal cancer patients. World J Gastroenterol 2023; 29(19): 2888-2904 [PMID: 37274803 DOI: 10.3748/wjg.v29.i19.2888]
URL: https://www.wjgnet.com/1007-9327/full/v29/i19/2888.htm
Number Citing Articles
1
Zhi-Da Long, Xiao Yu, Zhi-Xiang Xing, Rui Wang. Multiparameter magnetic resonance imaging-based radiomics model for the prediction of rectal cancer metachronous liver metastasisWorld Journal of Gastrointestinal Oncology 2025; 17(1): 96598 doi: 10.4251/wjgo.v17.i1.96598
2
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, Gerardo Ferrara, Fabiana Tatangelo, Alessandro Ottaiano, Antonio Avallone, Vittorio Miele, Nicola Normanno, Francesco Izzo, Antonella Petrillo. Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging AssessmentDiagnostics 2024; 14(2): 152 doi: 10.3390/diagnostics14020152
3
Brigitte Scott. Updates in BRAF V600E-Mutated Metastatic Colorectal CancerEMJ Oncology 2024; : 2 doi: 10.33590/emjoncol/JDXK9403
4
Mingzhu Yuan, Qi Long, Xufang Sun. OCTA-based research on changes of retinal microcirculation in digestive tract malignancyPhotodiagnosis and Photodynamic Therapy 2024; 49: 104270 doi: 10.1016/j.pdpdt.2024.104270
5
Petr Tsarkov, Vladimir Balaban, Harutyun Babajanyan, Abe Fingerhut, Inna Tulina, Mingze He. Lateral pelvic lymph node positivity (LPLNP) score: predictive clinic-radiological model of lateral pelvic lymph node involvement in rectal cancer patientsInternational Journal of Colorectal Disease 2024; 39(1) doi: 10.1007/s00384-024-04717-5
6
Long Wu, Huan Wu, Chen Li, Baofang Zhang, Xiaoyun Li, Yunhuan Zhen, Haiyang Li. Radiomics in colorectal canceriRADIOLOGY 2023; 1(3): 236 doi: 10.1002/ird3.29
7
Roberto Cannella. Combined quantitative and radiomics model can predict outcomes in patients with initially unresectable colorectal liver metastases treated with chemotherapyAbdominal Radiology 2024; 50(2): 1051 doi: 10.1007/s00261-024-04529-9
8
Haiming Zhang, Zhenyu Li, Fengtao Zhang, Hengguo Li. CT-based radiomics features for the differential diagnosis of nodular goiter and papillary thyroid carcinoma: an analysis employing propensity score matchingFrontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1465941
9
Jia Zhang, Wenxiang Huang, Yang Li, Xuan Zhang, Yong Chen, Shaohao Chen, Qiu Ming, Qing Jiang, Yingjie Xv. Interpretable Machine Learning Radiomics Model Predicts 5-year Recurrence-Free Survival in Non-metastatic Clear Cell Renal Cell Carcinoma: A Multicenter and Retrospective Cohort StudyAcademic Radiology 2025;  doi: 10.1016/j.acra.2025.03.042
10
Alessio Danilo Inchingolo, Alessandra Laforgia, Angelo Michele Inchingolo, Giulia Latini, Carmen Pezzolla, Paola Nardelli, Andrea Palermo, Francesco Inchingolo, Giuseppina Malcangi, Gianna Dipalma. Rapid palate expansion's impact on nasal breathing: A systematic reviewInternational Journal of Pediatric Otorhinolaryngology 2025; 190: 112248 doi: 10.1016/j.ijporl.2025.112248
11
Lu-Na Bai, Lu-Xian Zhang. Effectiveness of magnetic resonance imaging and spiral computed tomography in the staging and treatment prognosis of colorectal cancerWorld Journal of Gastrointestinal Surgery 2024; 16(7): 2135-2144 doi: 10.4240/wjgs.v16.i7.2135
12
Jingui Wang, Kexin Wang, Junling Zhang, Yingchao Wu, Yong Jiang, Guowei Chen, Zhanbing Liu, Tao Wu, Yuanlian Wan, Xiaoying Wang, Xin Wang. Development of a CT radiomics model for detection of bladder invasion by colorectal carcinomaScientific Reports 2025; 15(1) doi: 10.1038/s41598-025-99222-2
13
Boqi Zhou, Huaqing Tan, Yuxuan Wang, Bin Huang, Zhijie Wang, Shihui Zhang, Xiaobo Zhu, Zhan Wang, Junlin Zhou, Yuntai Cao. A computed tomography-based radiomics prediction model for BRAF mutation status in colorectal cancerAbdominal Radiology 2025;  doi: 10.1007/s00261-025-04983-z
14
Hongwei Zhang, Kexin Wang, Shurong Liu, Guowei Chen, Yong Jiang, Yingchao Wu, Xiaocong Pang, Xiaoying Wang, Junling Zhang, Xin Wang. Development and validation of machine learning models for predicting no. 253 lymph node metastasis in left-sided colorectal cancer using clinical and CT-based radiomic featuresCancer Imaging 2025; 25(1) doi: 10.1186/s40644-025-00876-y
15
Yongna Cheng, Ziming Feng, Xiangming Wang. Construction and Value Analysis of a Prognostic Assessment Model Based on Radiomics and Genetic Data for Colorectal CancerBritish Journal of Hospital Medicine 2025; 86(3): 1 doi: 10.12968/hmed.2024.0620
16
Wen-Yu Luan, Hao Lin, Yan-Dong Miao. Recommendations for articles and reviews in colorectal cancer-related research at the year-end of 2023World Journal of Gastroenterology 2024; 30(30): 3548-3553 doi: 10.3748/wjg.v30.i30.3548
17
Jeba Karunya Ramireddy, A. Sathya, Balu Krishna Sasidharan, Amal Joseph Varghese, Arvind Sathyamurthy, Neenu Oliver John, Anuradha Chandramohan, Ashish Singh, Anjana Joel, Rohin Mittal, Dipti Masih, Kripa Varghese, Grace Rebekah, Thomas Samuel Ram, Hannah Mary T. Thomas. Can Pretreatment MRI and Planning CT Radiomics Improve Prediction of Complete Pathological Response in Locally Advanced Rectal Cancer Following Neoadjuvant Treatment?Journal of Gastrointestinal Cancer 2024; 55(3): 1199 doi: 10.1007/s12029-024-01073-z
18
Francesco Celotto, Giulia Capelli, Stefania Ferrari, Marco Scarpa, Salvatore Pucciarelli, Gaya Spolverato. Application and use of artificial intelligence in colorectal cancer surgery: where are we?Artificial Intelligence Surgery 2024; 4(4): 348 doi: 10.20517/ais.2024.26
19
Francesco Pisu, Luca Saba. Colorectal Imaging2025; : 225 doi: 10.1016/B978-0-443-29048-0.00001-X
20
Sunya Fu, Dawei Chen, Yuqin Zhang, Xiao Yu, Lu Han, Jiazi Yu, Yupeng Zheng, Liang Zhao, Yidong Xu, Ying Tan, Mian Yang. A CT-based radiomics tumor quality and quantity model to predict early recurrence after radical surgery for colorectal liver metastasesClinical and Translational Oncology 2024; 27(3): 1198 doi: 10.1007/s12094-024-03645-8
21
Gui-Wen Lyu, Tong Tong, Gen-Dong Yang, Jing Zhao, Zi-Fan Xu, Na Zheng, Zhi-Fang Zhang. Bibliometric and visual analysis of radiomics for evaluating lymph node status in oncologyFrontiers in Medicine 2024; 11 doi: 10.3389/fmed.2024.1501652
22
Tingting Hong, Heng Zhang, Qiming Zhao, Li Liu, Jun Sun, Shudong Hu, Yong Mao. A Hybrid Machine Learning CT-Based Radiomics Nomogram for Predicting Cancer-Specific Survival in Curatively Resected Colorectal CancerAcademic Radiology 2025; 32(5): 2630 doi: 10.1016/j.acra.2024.12.022
23
Joanna Urbaniec-Stompór, Maciej Michalak, Janusz Godlewski. Correlating Ultrastructural Changes in the Invasion Area of Colorectal Cancer with CT and MRI ImagingInternational Journal of Molecular Sciences 2024; 25(18): 9905 doi: 10.3390/ijms25189905
24
Nicolò Gennaro, Moataz Soliman, Amir A. Borhani, Linda Kelahan, Hatice Savas, Ryan Avery, Kamal Subedi, Tugce A. Trabzonlu, Chase Krumpelman, Vahid Yaghmai, Young Chae, Jochen Lorch, Devalingam Mahalingam, Mary Mulcahy, Al Benson, Ulas Bagci, Yuri S. Velichko. Delta Radiomics and Tumor Size: A New Predictive Radiomics Model for Chemotherapy Response in Liver Metastases from Breast and Colorectal CancerTomography 2025; 11(3): 20 doi: 10.3390/tomography11030020
25
Fei-Wen Feng, Fei-Yu Jiang, Yuan-Qing Liu, Qi Sun, Rong Hong, Chun-Hong Hu, Su Hu. Radiomics analysis of dual-layer spectral-detector CT-derived iodine maps for predicting tumor deposits in colorectal cancerEuropean Radiology 2024; 35(1): 105 doi: 10.1007/s00330-024-10918-x
26
Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti. Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approachHeliyon 2025; 11(1): e41404 doi: 10.1016/j.heliyon.2024.e41404
27
Benjamin Keel, Aaron Quyn, David Jayne, Samuel David Relton. State-of-the-art performance of deep learning methods for pre-operative radiologic staging of colorectal cancer lymph node metastasis: a scoping reviewBMJ Open 2024; 14(12): e086896 doi: 10.1136/bmjopen-2024-086896
28
Monica Kassavin, Kevin J. Chang. Computed Tomography ColonographyRadiologic Clinics of North America 2025; 63(3): 405 doi: 10.1016/j.rcl.2024.09.009