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Jan 7, 2019 (publication date) through Apr 28, 2024
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Publication Name
World Journal of Gastroenterology
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1007-9327
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Ren DL, Li J, Yu HC, Peng SY, Lin WD, Wang XL, Ghoorun RA, Luo YX. Nomograms for predicting pathological response to neoadjuvant treatments in patients with rectal cancer. World J Gastroenterol 2019; 25(1): 118-137 [PMID: 30643363 DOI: 10.3748/wjg.v25.i1.118] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v25/i1/118.htm |
| Number | Citing Articles |
| 1 |
Yuho Ono, Justin M.M. Cates, Raul S. Gonzalez. Can histologic features predict neoadjuvant therapy response in rectal adenocarcinoma?. Pathology - Research and Practice 2021; 226: 153608 doi: 10.1016/j.prp.2021.153608
|
| 2 |
Max D. Tanaka, Barbara M. Geubels, Brechtje A. Grotenhuis, Corrie A. M. Marijnen, Femke P. Peters, Stevie van der Mierden, Monique Maas, Alice M. Couwenberg. Validated Pretreatment Prediction Models for Response to Neoadjuvant Therapy in Patients with Rectal Cancer: A Systematic Review and Critical Appraisal. Cancers 2023; 15(15): 3945 doi: 10.3390/cancers15153945
|
| 3 |
Yuma Wada, Mitsuo Shimada, Yuji Morine, Tetsuya Ikemoto, Yu Saito, Zhongxu Zhu, Xin Wang, Ane Etxart, Yangsoon Park, Luis Bujanda, In Ja Park, Ajay Goel. Circulating miRNA Signature Predicts Response to Preoperative Chemoradiotherapy in Locally Advanced Rectal Cancer. JCO Precision Oncology 2021; (5): 1788 doi: 10.1200/PO.21.00015
|
| 4 |
Yihuang Hu, Juan Li, Zhuokai Zhuang, Bin Xu, Dabiao Wang, Huichuan Yu, Lanlan Li. Automatic treatment outcome prediction with DeepInteg based on multimodal radiological images in rectal cancer. Heliyon 2023; 9(2): e13094 doi: 10.1016/j.heliyon.2023.e13094
|
| 5 |
Maoxi Liu, Yi Feng, Yixun Zhang, Haiyi Liu, Zhijun Liao. Evaluation of Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio on Predicting Responsiveness to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Patients. BioMed Research International 2022; 2022: 1 doi: 10.1155/2022/3839670
|
| 6 |
Qi Zou, Donglin Ren, Xiaolin Wang, Liangliang Bai, Guannan Tang, Meijin Huang, Yanxin Luo, Huichuan Yu, Kazuhiko Uchiyama. Improved Survival Outcome and Access to Cancer Screening from Hemorrhoid in Patients with Rectal Cancer. Gastroenterology Research and Practice 2020; 2020: 1 doi: 10.1155/2020/5045142
|
| 7 |
Zhuokai Zhuang, Zongchao Liu, Juan Li, Xiaolin Wang, Peiyi Xie, Fei Xiong, Jiancong Hu, Xiaochun Meng, Meijin Huang, Yanhong Deng, Ping Lan, Huichuan Yu, Yanxin Luo. Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer. Journal of Translational Medicine 2021; 19(1) doi: 10.1186/s12967-021-02919-x
|
| 8 |
Juan Li, Yumo Xie, Ziying Huang, Dingcheng Shen, Zhuokai Zhuang, Mingxuan Zhu, Yaoyi Huang, Rongzhao He, Xiaolin Wang, Meijin Huang, Yanxin Luo, Huichuan Yu. Current treatment and surveillance modalities are not sufficient for advanced stage III colon cancer: Result from a multicenter cohort analysis. Cancer Medicine 2021; 10(24): 8924 doi: 10.1002/cam4.4417
|
| 9 |
Fatma Demet Arslan, Ayse Kocak, Cengiz Aydın, Emel Ebru Pala, Dilek Oncel, Gulden Diniz, Tayfun Kaya, Levent Ugurlu, Mustafa Degirmenci, Bulent Ozkan, Yasemin Soysal, Harun Muayad Said. Evaluation of potential tumor markers that may predict neoadjuvant treatment efficiency in rectal cancer. Turkish Journal of Biochemistry 2021; 46(4): 445 doi: 10.1515/tjb-2020-0507
|
| 10 |
Yanwu Sun, Zhekun Huang, Pan Chi. An inflammation index-based prediction of treatment response to neoadjuvant chemoradiotherapy for rectal mucinous adenocarcinoma. International Journal of Clinical Oncology 2020; 25(7): 1299 doi: 10.1007/s10147-020-01670-5
|
| 11 |
Valerie K. B. Kohl, Klaus Weber, Maximilian Brunner, Carol I. Geppert, Rainer Fietkau, Robert Grützmann, Sabine Semrau, Susanne Merkel. Factors influencing downstaging after neoadjuvant long-course chemoradiotherapy in rectal carcinoma. International Journal of Colorectal Disease 2022; 37(6): 1355 doi: 10.1007/s00384-022-04174-y
|
| 12 |
Yuesheng Luo, Leilei Liu, Daihong Liu, Hesong Shen, Xiaoxia Wang, Chunbo Fan, Zhen Zeng, Jing Zhang, Yong Tan, Xiaoyue Zhang, Jiaxing Wu, Jiuquan Zhang. Extracellular volume fraction determined by equilibrium contrast-enhanced CT for the prediction of the pathological complete response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer. European Radiology 2022; 33(6): 4042 doi: 10.1007/s00330-022-09307-z
|
| 13 |
Weerapat Suwanthanma, Saowanee Kitudomrat, Chakrapan Euanorasetr. Clinical outcome of neoadjuvant chemoradiation in rectal cancer treatment. Medicine 2021; 100(38): e27366 doi: 10.1097/MD.0000000000027366
|
| 14 |
Xue Cao, Xiaolin Wang, Heng Wang, Gaopo Xu, Huichuan Yu. Systemic Inflammation Status Relates to Anti–inflammatory Drug Benefit and Survival in Rectal Cancer. Journal of Surgical Research 2022; 269: 249 doi: 10.1016/j.jss.2021.08.028
|
| 15 |
Ganlu Ouyang, Xibiao Yang, Xiangbing Deng, Wenjian Meng, Yongyang Yu, Bing Wu, Dan Jiang, Pei Shu, Ziqiang Wang, Jin Yao, Xin Wang. Predicting Response to Total Neoadjuvant Treatment (TNT) in Locally Advanced Rectal Cancer Based on Multiparametric Magnetic Resonance Imaging: A Retrospective Study. Cancer Management and Research 2021; : 5657 doi: 10.2147/CMAR.S311501
|
| 16 |
Wei Jiang, Min Li, Jie Tan, Mingyuan Feng, Jixiang Zheng, Dexin Chen, Zhangyuanzhu Liu, Botao Yan, Guangxing Wang, Shuoyu Xu, Weiwei Xiao, Yuanhong Gao, Shuangmu Zhuo, Jun Yan. A Nomogram Based on a Collagen Feature Support Vector Machine for Predicting the Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients. Annals of Surgical Oncology 2021; 28(11): 6408 doi: 10.1245/s10434-021-10218-4
|
| 17 |
Siyi Lu, Zhenzhen Liu, Yuxia Wang, Yan Meng, Ran Peng, Ruize Qu, Zhipeng Zhang, Wei Fu, Hao Wang. A novel prediction model for pathological complete response based on clinical and blood parameters in locally advanced rectal cancer. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.932853
|
| 18 |
Lanlan Li, Bin Xu, Zhuokai Zhuang, Juan Li, Yihuang Hu, Hui Yang, Xiaolin Wang, Jinxin Lin, Ruwen Zhou, Weiwei Chen, Dongzhi Ran, Meijin Huang, Dabiao Wang, Yanxin Luo, Huichuan Yu. Accurate tumor segmentation and treatment outcome prediction with DeepTOP. Radiotherapy and Oncology 2023; 183: 109550 doi: 10.1016/j.radonc.2023.109550
|
| 19 |
Fang-Ze Wei, Shi-Wen Mei, Jia-Nan Chen, Zhi-Jie Wang, Hai-Yu Shen, Juan Li, Fu-Qiang Zhao, Zheng Liu, Qian Liu. Nomograms and risk score models for predicting survival in rectal cancer patients with neoadjuvant therapy. World Journal of Gastroenterology 2020; 26(42): 6638-6657 doi: 10.3748/wjg.v26.i42.6638
|
| 20 |
Yonghe Chen, Dan Liu, Jian Xiao, Jun Xiang, Aihong Liu, Shi Chen, Junjie Liu, Xiansheng Hu, Junsheng Peng, Fausto Rosa. Nomogram for Predicting Survival in Advanced Gastric Cancer after Neoadjuvant Chemotherapy and Radical Surgery. Gastroenterology Research and Practice 2021; 2021: 1 doi: 10.1155/2021/2923700
|
| 21 |
Dae Hee Pyo, Joon Young Choi, Woo Yong Lee, Seong Hyeon Yun, Hee Cheol Kim, Jung Wook Huh, Yoon Ah Park, Jung Kyong Shin, Yong Beom Cho. A Nomogram for Predicting Pathological Complete Response to Neoadjuvant Chemoradiotherapy Using Semiquantitative Parameters Derived From Sequential PET/CT in Locally Advanced Rectal Cancer. Frontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.742728
|
| 22 |
Zenghong Huang, Xiaolin Wang, Qi Zou, Zhuokai Zhuang, Yumo Xie, Du Cai, Liangliang Bai, Guannan Tang, Meijin Huang, Yanxin Luo, Huichuan Yu. High platelet-to-lymphocyte ratio predicts improved survival outcome for perioperative NSAID use in patients with rectal cancer. International Journal of Colorectal Disease 2020; 35(4): 695 doi: 10.1007/s00384-020-03528-8
|
| 23 |
Mingyue Xue, Yinxia Su, Zhiwei Feng, Shuxia Wang, Mingchen Zhang, Kai Wang, Hua Yao. A nomogram model for screening the risk of diabetes in a large-scale Chinese population: an observational study from 345,718 participants. Scientific Reports 2020; 10(1) doi: 10.1038/s41598-020-68383-7
|
| 24 |
Chao Wang, Meng Yuan, Yongjian Gao, Ruizhi Hou, Defeng Song, Ye Feng. Changes in Tumor Immune Microenvironment after Radiotherapy Resistance in Colorectal Cancer: A Narrative Review. Oncology Research and Treatment 2023; 46(5): 177 doi: 10.1159/000530161
|
| 25 |
Lore Helene Braun, David Baumann, Kerstin Zwirner, Ewald Eipper, Franziska Hauth, Andreas Peter, Daniel Zips, Cihan Gani. Neutrophil-to-Lymphocyte Ratio in Rectal Cancer—Novel Biomarker of Tumor Immunogenicity During Radiotherapy or Confounding Variable?. International Journal of Molecular Sciences 2019; 20(10): 2448 doi: 10.3390/ijms20102448
|
| 26 |
Xiaoling Zhong, Guohua Zeng, Lixiang Zhang, Shuyuan You, Yuxiang Fu, Wan He, Guixiang Liao. Prediction of pathologic complete response to neoadjuvant chemoradiation in locally advanced rectal cancer. Frontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1361300
|