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Cited by in CrossRef
For: Yin JD, Song LR, Lu HC, Zheng X. Prediction of different stages of rectal cancer: Texture analysis based on diffusion-weighted images and apparent diffusion coefficient maps. World J Gastroenterol 2020; 26(17): 2082-2096 [PMID: 32536776 DOI: 10.3748/wjg.v26.i17.2082]
URL: https://www.wjgnet.com/1007-9327/full/v26/i17/2082.htm
Number Citing Articles
1
Li Zhao, Meng Liang, Yang Yang, Xinming Zhao, Hongmei Zhang. Histogram models based on intravoxel incoherent motion diffusion-weighted imaging to predict nodal staging of rectal cancerEuropean Journal of Radiology 2021; 142: 109869 doi: 10.1016/j.ejrad.2021.109869
2
Chunli Li, Jiandong Yin. Radiomics Nomogram Based on Radiomics Score from Multiregional Diffusion-Weighted MRI and Clinical Factors for Evaluating HER-2 2+ Status of Breast CancerDiagnostics 2021; 11(8): 1491 doi: 10.3390/diagnostics11081491
3
Hui Feng, Gaofeng Shi, Hui Liu, Qian Xu, Ning Zhang, Jie Kuang. Free-breathing radial volumetric interpolated breath-hold examination sequence and dynamic contrast-enhanced MRI combined with diffusion-weighted imaging for assessment of solitary pulmonary nodulesMagnetic Resonance Imaging 2021; 75: 100 doi: 10.1016/j.mri.2020.10.009
4
Xue Lin, Sheng Zhao, Huijie Jiang, Fucang Jia, Guisheng Wang, Baochun He, Hao Jiang, Xiao Ma, Jinping Li, Zhongxing Shi. A radiomics-based nomogram for preoperative T staging prediction of rectal cancerAbdominal Radiology 2021; 46(10): 4525 doi: 10.1007/s00261-021-03137-1
5
Alessandra Borgheresi, Federica De Muzio, Andrea Agostini, Letizia Ottaviani, Alessandra Bruno, Vincenza Granata, Roberta Fusco, Ginevra Danti, Federica Flammia, Roberta Grassi, Francesca Grassi, Federico Bruno, Pierpaolo Palumbo, Antonio Barile, Vittorio Miele, Andrea Giovagnoni. Lymph Nodes Evaluation in Rectal Cancer: Where Do We Stand and Future PerspectiveJournal of Clinical Medicine 2022; 11(9): 2599 doi: 10.3390/jcm11092599
6
Chunli Li, Jiandong Yin. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer PatientsFrontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.671354
7
Jiajun Luo, Hongxue Wu, Yue Jiang, Yu Yang, Jingwen Yuan, Qiang Tong, Deguang Song. The Role of Heart Rate, Body Temperature, and Respiratory Rate in Predicting Anastomotic Leakage following Surgery for Rectal CancerMediators of Inflammation 2021; 2021: 1 doi: 10.1155/2021/8698923
8
Yan-song Xu, Gang Liu, Chang Zhao, Shao-long Lu, Chen-yan Long, Hua-ge Zhong, Yi Chen, Ling-xu Huang, Zheng Liang. Prognostic Value of Combined Preoperative Carcinoembryonic Antigen and Prognostic Nutritional Index in Patients With Stage II–III Colon CancerFrontiers in Surgery 2021; 8 doi: 10.3389/fsurg.2021.667154
9
Arnaldo Stanzione, Francesco Verde, Valeria Romeo, Francesca Boccadifuoco, Pier Paolo Mainenti, Simone Maurea. Radiomics and machine learning applications in rectal cancer: Current update and future perspectivesWorld Journal of Gastroenterology 2021; 27(32): 5306-5321 doi: 10.3748/wjg.v27.i32.5306
10
Toru Tochigi, Sophia C. Kamran, Anushri Parakh, Yoshifumi Noda, Balaji Ganeshan, Lawrence S. Blaszkowsky, David P. Ryan, Jill N. Allen, David L. Berger, Jennifer Y. Wo, Theodore S. Hong, Avinash Kambadakone. Response prediction of neoadjuvant chemoradiation therapy in locally advanced rectal cancer using CT-based fractal dimension analysisEuropean Radiology 2022; 32(4): 2426 doi: 10.1007/s00330-021-08303-z
11
Jia You, Jiandong Yin. Performances of Whole Tumor Texture Analysis Based on MRI: Predicting Preoperative T Stage of Rectal CarcinomasFrontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.678441