186 related articles for article (PubMed ID: 34148136)
1. A Nomogram Based on a Collagen Feature Support Vector Machine for Predicting the Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients.
Jiang W; Li M; Tan J; Feng M; Zheng J; Chen D; Liu Z; Yan B; Wang G; Xu S; Xiao W; Gao Y; Zhuo S; Yan J
Ann Surg Oncol; 2021 Oct; 28(11):6408-6421. PubMed ID: 34148136
[TBL] [Abstract][Full Text] [Related]
2. Association of the collagen signature with pathological complete response in rectal cancer patients.
Jiang W; Wang S; Wan J; Zheng J; Dong X; Liu Z; Wang G; Xu S; Xiao W; Gao Y; Zhuo S; Yan J
Cancer Sci; 2022 Jul; 113(7):2409-2424. PubMed ID: 35485874
[TBL] [Abstract][Full Text] [Related]
3. Collagen score in the tumor microenvironment predicts the prognosis of rectal cancer patients after neoadjuvant chemoradiotherapy.
Dong X; Huang Y; Yu X; Huang M; Jiang W; Chen D; Wang G; Zhuo S; Chi P; Yan J
Radiother Oncol; 2022 Feb; 167():99-108. PubMed ID: 34953935
[TBL] [Abstract][Full Text] [Related]
4. Radiomics signature as a new biomarker for preoperative prediction of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer.
Zhang Z; Jiang X; Zhang R; Yu T; Liu S; Luo Y
Diagn Interv Radiol; 2021 May; 27(3):308-314. PubMed ID: 34003118
[TBL] [Abstract][Full Text] [Related]
5. A nomogram for predicting good response after neoadjuvant chemoradiotherapy for locally advanced rectal cancer: a retrospective, double-center, cohort study.
Wang G; Zheng Z; Chen J; Ye J; Tang Z; Fang Y; Yao K; Zeng Q; Yang Y; Tang H; Lin B; Guo Y; Huang Y
Int J Colorectal Dis; 2022 Oct; 37(10):2157-2166. PubMed ID: 36048198
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of an MRI-based radiomic nomogram to distinguish between good and poor responders in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy.
Wang J; Liu X; Hu B; Gao Y; Chen J; Li J
Abdom Radiol (NY); 2021 May; 46(5):1805-1815. PubMed ID: 33151359
[TBL] [Abstract][Full Text] [Related]
7. Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.
Li C; Chen H; Zhang B; Fang Y; Sun W; Wu D; Su Z; Shen L; Wei Q
Cancers (Basel); 2023 Oct; 15(21):. PubMed ID: 37958309
[TBL] [Abstract][Full Text] [Related]
8. A nomogram to predict distant metastasis after neoadjuvant chemoradiotherapy and radical surgery in patients with locally advanced rectal cancer.
Sun Y; Lin H; Lu X; Huang Y; Xu Z; Huang S; Wang X; Chi P
J Surg Oncol; 2017 Mar; 115(4):462-469. PubMed ID: 28105657
[TBL] [Abstract][Full Text] [Related]
9. Multiparametric MRI-based Radiomics approaches on predicting response to neoadjuvant chemoradiotherapy (nCRT) in patients with rectal cancer.
Cheng Y; Luo Y; Hu Y; Zhang Z; Wang X; Yu Q; Liu G; Cui E; Yu T; Jiang X
Abdom Radiol (NY); 2021 Nov; 46(11):5072-5085. PubMed ID: 34302510
[TBL] [Abstract][Full Text] [Related]
10. Association of the collagen score with anastomotic leakage in rectal cancer patients after neoadjuvant chemoradiotherapy.
Jiang W; Feng M; Zheng J; Wang G; Xu S; Zhou L; Zhuo S; Yan J
Surgery; 2021 Nov; 170(5):1331-1341. PubMed ID: 34116856
[TBL] [Abstract][Full Text] [Related]
11. Development of a nomogram for the prediction of pathological complete response after neoadjuvant chemoradiotherapy in patients with esophageal squamous cell carcinoma.
Chao YK; Chang HK; Tseng CK; Liu YH; Wen YW
Dis Esophagus; 2017 Feb; 30(2):1-8. PubMed ID: 27868287
[TBL] [Abstract][Full Text] [Related]
12. Clinicopathological factors predict residual lymph node metastasis in locally advanced rectal cancer with ypT0-2 after neoadjuvant chemoradiotherapy.
Cui Y; Song M; Tie J; Li S; Wang H; Zhang Y; Geng J; Liu Z; Teng H; Sui X; Zhu X; Cai Y; Li Y; Wang W
J Cancer Res Clin Oncol; 2024 Apr; 150(4):176. PubMed ID: 38575793
[TBL] [Abstract][Full Text] [Related]
13. MRI-Based Radiomic Models Outperform Radiologists in Predicting Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.
Wen L; Liu J; Hu P; Bi F; Liu S; Jian L; Zhu S; Nie S; Cao F; Lu Q; Yu X; Liu K
Acad Radiol; 2023 Sep; 30 Suppl 1():S176-S184. PubMed ID: 36739228
[TBL] [Abstract][Full Text] [Related]
14. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Cui Y; Yang X; Shi Z; Yang Z; Du X; Zhao Z; Cheng X
Eur Radiol; 2019 Mar; 29(3):1211-1220. PubMed ID: 30128616
[TBL] [Abstract][Full Text] [Related]
15. Construction and Evaluation of Nomogram for Hematological Indicators to Predict Pathological Response after Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.
Wang K; Li M; Yan J
J Gastrointest Cancer; 2023 Sep; 54(3):791-801. PubMed ID: 36103002
[TBL] [Abstract][Full Text] [Related]
16. Predicting poor response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer: Model constructed using pre-treatment MRI features of structured report template.
Tang X; Jiang W; Li H; Xie F; Dong A; Liu L; Li L
Radiother Oncol; 2020 Jul; 148():97-106. PubMed ID: 32339781
[TBL] [Abstract][Full Text] [Related]
17. Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study.
Liu X; Zhang D; Liu Z; Li Z; Xie P; Sun K; Wei W; Dai W; Tang Z; Ding Y; Cai G; Tong T; Meng X; Tian J
EBioMedicine; 2021 Jul; 69():103442. PubMed ID: 34157487
[TBL] [Abstract][Full Text] [Related]
18. An inflammation index-based prediction of treatment response to neoadjuvant chemoradiotherapy for rectal mucinous adenocarcinoma.
Sun Y; Huang Z; Chi P
Int J Clin Oncol; 2020 Jul; 25(7):1299-1307. PubMed ID: 32274615
[TBL] [Abstract][Full Text] [Related]
19. Prognostic significance of neoadjuvant rectal score in locally advanced rectal cancer after neoadjuvant chemoradiotherapy and construction of a prediction model.
Sun Y; Zhang Y; Wu X; Lin H; Lu X; Huang Y; Xu Z; Huang S; Wang X; Chi P
J Surg Oncol; 2018 Mar; 117(4):737-744. PubMed ID: 29228455
[TBL] [Abstract][Full Text] [Related]
20. MRI-based radiomics to predict neoadjuvant chemoradiotherapy outcomes in locally advanced rectal cancer: A multicenter study.
Xiang Y; Li S; Wang H; Song M; Hu K; Wang F; Wang Z; Niu Z; Liu J; Cai Y; Li Y; Zhu X; Geng J; Zhang Y; Teng H; Wang W
Clin Transl Radiat Oncol; 2023 Jan; 38():175-182. PubMed ID: 36471751
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
