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Cited by in CrossRef
For: Saklani AP, Bae SU, Clayton A, Kim NK. Magnetic resonance imaging in rectal cancer: A surgeon’s perspective. World J Gastroenterol 2014; 20(8): 2030-2041 [PMID: 24616572 DOI: 10.3748/wjg.v20.i8.2030]
URL: https://www.wjgnet.com/1007-9327/full/v20/i8/2030.htm
Number Citing Articles
1
Yun Lu, Qiyue Yu, Yuanxiang Gao, Yunpeng Zhou, Guangwei Liu, Qian Dong, Jinlong Ma, Lei Ding, Hongwei Yao, Zhongtao Zhang, Gang Xiao, Qi An, Guiying Wang, Jinchuan Xi, Weitang Yuan, Yugui Lian, Dianliang Zhang, Chunbo Zhao, Qin Yao, Wei Liu, Xiaoming Zhou, Shuhao Liu, Qingyao Wu, Wenjian Xu, Jianli Zhang, Dongshen Wang, Zhenqing Sun, Yuan Gao, Xianxiang Zhang, Jilin Hu, Maoshen Zhang, Guanrong Wang, Xuefeng Zheng, Lei Wang, Jie Zhao, Shujian Yang. Identification of Metastatic Lymph Nodes in MR Imaging with Faster Region-Based Convolutional Neural NetworksCancer Research 2018; 78(17): 5135 doi: 10.1158/0008-5472.CAN-18-0494
2
T. O. Soko, B. M. Diallo, A. R. Ndiaye, A. Mbengue, C. T. Diouf, A. Fall, M. Diop, M. Diallo, A. R. Ndiaye, I. C. Diakhaté. L’imagerie par résonance magnétique (IRM) dans le cancer du rectum : apports et particularités au SénégalJournal Africain d'Hépato-Gastroentérologie 2016; 10(3): 157 doi: 10.1007/s12157-016-0664-6
3
Lei Ding, Guang-Wei Liu, Bao-Chun Zhao, Yun-Peng Zhou, Shuai Li, Zheng-Dong Zhang, Yu-Ting Guo, Ai-Qin Li, Yun Lu, Hong-Wei Yao, Wei-Tang Yuan, Gui-Ying Wang, Dian-Liang Zhang, Lei Wang. Artificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancerChinese Medical Journal 2019; 132(4): 379 doi: 10.1097/CM9.0000000000000095
4
Rafał Maksim, Angelika Buczyńska, Iwona Sidorkiewicz, Adam Jacek Krętowski, Ewa Sierko. Imaging and Metabolic Diagnostic Methods in the Stage Assessment of Rectal CancerCancers 2024; 16(14): 2553 doi: 10.3390/cancers16142553
5
Jacob T. Antunes, Asya Ofshteyn, Kaustav Bera, Erik Y. Wang, Justin T. Brady, Joseph E. Willis, Kenneth A. Friedman, Eric L. Marderstein, Matthew F. Kalady, Sharon L. Stein, Andrei S. Purysko, Rajmohan Paspulati, Jayakrishna Gollamudi, Anant Madabhushi, Satish E. Viswanath. Radiomic Features of Primary Rectal Cancers on Baseline T2‐Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite StudyJournal of Magnetic Resonance Imaging 2020; 52(5): 1531 doi: 10.1002/jmri.27140
6
Miguel Ángel Lorenzo Liñán, Juan García Armengol, Gonzalo Pablo Martín Martín, Vicente Martínez Sanjuán, José Vicente Roig Vila. Validación de la resonancia magnética pélvica como método de elección para determinar la distancia al margen anal en el cáncer de rectoCirugía Española 2022; 100(12): 772 doi: 10.1016/j.ciresp.2021.07.004
7
Lei Ding, Guangwei Liu, Xianxiang Zhang, Shanglong Liu, Shuai Li, Zhengdong Zhang, Yuting Guo, Yun Lu. A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancerCancer Medicine 2020; 9(23): 8809 doi: 10.1002/cam4.3490
8
Dae Ro Lim, Sung Uk Bae, Hyuk Hur, Byung Soh Min, Seung Hyuk Baik, Kang Young Lee, Nam Kyu Kim. Long-term oncological outcomes of robotic versus laparoscopic total mesorectal excision of mid–low rectal cancer following neoadjuvant chemoradiation therapySurgical Endoscopy 2017; 31(4): 1728 doi: 10.1007/s00464-016-5165-6
9
R. A. Towner, N. Smith, D. Saunders, S. B. Van Gordon, K. R. Tyler, A. B. Wisniewski, B. Greenwood‐Van Meerveld, R. E. Hurst. Assessment of colon and bladder crosstalk in an experimental colitis model using contrast‐enhanced magnetic resonance imagingNeurogastroenterology & Motility 2015; 27(11): 1571 doi: 10.1111/nmo.12654
10
Serdar Serinsöz, Remzi Aktürk. Comparison of Imaging Modalities in the Diagnosis and Tumor Staging of Colorectal AdenocarcinomaCurrent Medical Imaging Formerly Current Medical Imaging Reviews 2023; 19(6) doi: 10.2174/1573405619666221209114218
11
Miguel Ángel Lorenzo Liñán, Juan García Armengol, Gonzalo Pablo Martín Martín, Vicente Martínez Sanjuán, José Vicente Roig Vila. Validation of pelvic magnetic resonance imaging as the method of choice to determine the distance to the anal margin in rectal cancerCirugía Española (English Edition) 2022; 100(12): 772 doi: 10.1016/j.cireng.2022.08.015
12
Swapnil Patel, Mufaddal Kazi, Ashwin L. Desouza, Vivek Sukumar, Jayesh Gori, Munita Bal, Avanish Saklani. Outcomes of rectal cancer patients with a positive pathological circumferential resection marginLangenbeck's Archives of Surgery 2022; 407(3): 1151 doi: 10.1007/s00423-021-02392-6
13
Li Chen, Wenchao Zhu, Wei Zhang, Engeng Chen, Wei Zhou. Magnetic resonance imaging radiomics-based prediction of severe inflammatory response in locally advanced rectal cancer patients after neoadjuvant radiochemotherapyLangenbeck's Archives of Surgery 2024; 409(1) doi: 10.1007/s00423-024-03416-7
14
Diego R. Martin, Miguel Ramalho, António P. Matos, Ersan Altun, Richard C. Semelka. Abdominal‐Pelvic MRI2015; : 593 doi: 10.1002/9781119012979.ch6
15
Šárka Bohatá. The significance of magnetic resonance imaging rectal cancerOnkologie 2017; 11(2): 61 doi: 10.36290/xon.2017.013
16
G. Simpson, P. Hopley, J. Wilson, N. Day, A. Haworth, A. Montazeri, D. Smith, L. Titu, J. Anderson, D. Agbamu, C. Walsh. Long‐term outcomes of real world ‘watch and wait’ data for rectal cancer after neoadjuvant chemoradiotherapyColorectal Disease 2020; 22(11): 1568 doi: 10.1111/codi.15177