122 related articles for article (PubMed ID: 37996362)
1. Pretreatment MRI-Based Radiomics for Prediction of Rectal Cancer Outcome: A Discovery and Validation Study.
Huang H; Han L; Guo J; Zhang Y; Lin S; Chen S; Lin X; Cheng C; Guo Z; Qiu Y
Acad Radiol; 2024 May; 31(5):1878-1888. PubMed ID: 37996362
[TBL] [Abstract][Full Text] [Related]
2. MRI-based Multiregional Radiomics for Pretreatment Prediction of Distant Metastasis After Neoadjuvant Chemoradiotherapy in Patients with Locally Advanced Rectal Cancer.
Zhao R; Wan L; Chen S; Peng W; Liu X; Wang S; Li L; Zhang H
Acad Radiol; 2024 Apr; 31(4):1367-1377. PubMed ID: 37802671
[TBL] [Abstract][Full Text] [Related]
3. Prognostic prediction value of the clinical-radiomics tumour-stroma ratio in locally advanced rectal cancer.
Cai C; Hu T; Rong Z; Gong J; Tong T
Eur J Radiol; 2024 Jan; 170():111254. PubMed ID: 38091662
[TBL] [Abstract][Full Text] [Related]
4. Pretreatment MRI-detected extramural venous invasion as a prognostic and predictive biomarker for neoadjuvant chemoradiotherapy in non-metastatic rectal cancer: a propensity score matched analysis.
Yang SY; Bae H; Seo N; Han K; Han YD; Cho MS; Hur H; Min BS; Kim NK; Lee KY; Lim JS
Eur Radiol; 2024 Jun; 34(6):3686-3698. PubMed ID: 37994967
[TBL] [Abstract][Full Text] [Related]
5. Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiation: an international multicenter study.
Shaish H; Aukerman A; Vanguri R; Spinelli A; Armenta P; Jambawalikar S; Makkar J; Bentley-Hibbert S; Del Portillo A; Kiran R; Monti L; Bonifacio C; Kirienko M; Gardner KL; Schwartz L; Keller D
Eur Radiol; 2020 Nov; 30(11):6263-6273. PubMed ID: 32500192
[TBL] [Abstract][Full Text] [Related]
6. MRI radiomics signature to predict lymph node metastasis after neoadjuvant chemoradiation therapy in locally advanced rectal cancer.
Fang Z; Pu H; Chen XL; Yuan Y; Zhang F; Li H
Abdom Radiol (NY); 2023 Jul; 48(7):2270-2283. PubMed ID: 37085730
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer.
Jayaprakasam VS; Paroder V; Gibbs P; Bajwa R; Gangai N; Sosa RE; Petkovska I; Golia Pernicka JS; Fuqua JL; Bates DDB; Weiser MR; Cercek A; Gollub MJ
Eur Radiol; 2022 Feb; 32(2):971-980. PubMed ID: 34327580
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Prognostic risk factors and survival models for T3 locally advanced rectal cancer: what can we learn from the baseline MRI?
Zhao Q; Wan L; Zou S; Zhang C; E T; Yang Y; Ye F; Zhao X; Ouyang H; Zhang H
Eur Radiol; 2021 Jul; 31(7):4739-4750. PubMed ID: 34003351
[TBL] [Abstract][Full Text] [Related]
11. Prediction of locally advanced rectal cancer response to neoadjuvant chemoradiation therapy using volumetric multiparametric MRI-based radiomics.
El Homsi M; Bane O; Fauveau V; Hectors S; Vietti Violi N; Sylla P; Ko HB; Cuevas J; Carbonell G; Nehlsen A; Vanguri R; Viswanath S; Jambawalikar S; Shaish H; Taouli B
Abdom Radiol (NY); 2024 Mar; 49(3):791-800. PubMed ID: 38150143
[TBL] [Abstract][Full Text] [Related]
12. [A prediction model of pathological complete response in patients with locally advanced rectal cancer after PD-1 antibody combined with total neoadjuvant chemoradiotherapy based on MRI radiomics].
Zhang XY; Zhu HT; Li XT; Li YJ; Li ZW; Wang WH; Wu AW; Sun YS; Zhang L
Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Mar; 25(3):228-234. PubMed ID: 35340172
[No Abstract] [Full Text] [Related]
13. Predicting pathological complete response by comparing MRI-based radiomics pre- and postneoadjuvant radiotherapy for locally advanced rectal cancer.
Li Y; Liu W; Pei Q; Zhao L; Güngör C; Zhu H; Song X; Li C; Zhou Z; Xu Y; Wang D; Tan F; Yang P; Pei H
Cancer Med; 2019 Dec; 8(17):7244-7252. PubMed ID: 31642204
[TBL] [Abstract][Full Text] [Related]
14. [Comparison of long-term efficacy between watch and wait strategy and total mesorectal excision in locally advanced rectal cancer patients with clinical complete response after neoadjuvant therapy].
Wang XH; Zhou CJ; Zhang S; Wang QX; Xiao WW; Ding PR; Chen G; Pan ZZ; Zeng ZF; Gao YH
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Mar; 23(3):266-273. PubMed ID: 32192306
[No Abstract] [Full Text] [Related]
15. Does restaging MRI radiomics analysis improve pathological complete response prediction in rectal cancer patients? A prognostic model development.
Chiloiro G; Cusumano D; de Franco P; Lenkowicz J; Boldrini L; Carano D; Barbaro B; Corvari B; Dinapoli N; Giraffa M; Meldolesi E; Manfredi R; Valentini V; Gambacorta MA
Radiol Med; 2022 Jan; 127(1):11-20. PubMed ID: 34725772
[TBL] [Abstract][Full Text] [Related]
16. Utility of ctDNA in predicting response to neoadjuvant chemoradiotherapy and prognosis assessment in locally advanced rectal cancer: A prospective cohort study.
Wang Y; Yang L; Bao H; Fan X; Xia F; Wan J; Shen L; Guan Y; Bao H; Wu X; Xu Y; Shao Y; Sun Y; Tong T; Li X; Xu Y; Cai S; Zhu J; Zhang Z
PLoS Med; 2021 Aug; 18(8):e1003741. PubMed ID: 34464382
[TBL] [Abstract][Full Text] [Related]
17. Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models.
Shahzadi I; Zwanenburg A; Lattermann A; Linge A; Baldus C; Peeken JC; Combs SE; Diefenhardt M; Rödel C; Kirste S; Grosu AL; Baumann M; Krause M; Troost EGC; Löck S
Sci Rep; 2022 Jun; 12(1):10192. PubMed ID: 35715462
[TBL] [Abstract][Full Text] [Related]
18. Attention mechanism based multi-sequence MRI fusion improves prediction of response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Zhou X; Yu Y; Feng Y; Ding G; Liu P; Liu L; Ren W; Zhu Y; Cao W
Radiat Oncol; 2023 Oct; 18(1):175. PubMed ID: 37891611
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. MRI features and texture analysis for the early prediction of therapeutic response to neoadjuvant chemoradiotherapy and tumor recurrence of locally advanced rectal cancer.
Park H; Kim KA; Jung JH; Rhie J; Choi SY
Eur Radiol; 2020 Aug; 30(8):4201-4211. PubMed ID: 32270317
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]