136 related articles for article (PubMed ID: 38694706)
1. Evaluating complete response prediction rates in locally advanced rectal cancer with different radiomics segmentation approaches.
Kaval G; Dagoglu Kartal MG; Azamat S; Cingoz E; Ertas G; Karaman S; Kurtuldu B; Keskin M; Berker N; Karabulut S; Oral EN; Dagoglu Sakin N
Pathol Oncol Res; 2024; 30():1611744. PubMed ID: 38694706
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. [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]
4. MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study.
Defeudis A; Mazzetti S; Panic J; Micilotta M; Vassallo L; Giannetto G; Gatti M; Faletti R; Cirillo S; Regge D; Giannini V
Eur Radiol Exp; 2022 May; 6(1):19. PubMed ID: 35501512
[TBL] [Abstract][Full Text] [Related]
5. Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI.
Yardimci AH; Kocak B; Sel I; Bulut H; Bektas CT; Cin M; Dursun N; Bektas H; Mermut O; Yardimci VH; Kilickesmez O
Jpn J Radiol; 2023 Jan; 41(1):71-82. PubMed ID: 35962933
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer.
van Griethuysen JJM; Lambregts DMJ; Trebeschi S; Lahaye MJ; Bakers FCH; Vliegen RFA; Beets GL; Aerts HJWL; Beets-Tan RGH
Abdom Radiol (NY); 2020 Mar; 45(3):632-643. PubMed ID: 31734709
[TBL] [Abstract][Full Text] [Related]
10. Clinical utility of radiomics at baseline rectal MRI to predict complete response of rectal cancer after chemoradiation therapy.
Petkovska I; Tixier F; Ortiz EJ; Golia Pernicka JS; Paroder V; Bates DD; Horvat N; Fuqua J; Schilsky J; Gollub MJ; Garcia-Aguilar J; Veeraraghavan H
Abdom Radiol (NY); 2020 Nov; 45(11):3608-3617. PubMed ID: 32296896
[TBL] [Abstract][Full Text] [Related]
11. Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI.
Shi L; Zhang Y; Nie K; Sun X; Niu T; Yue N; Kwong T; Chang P; Chow D; Chen JH; Su MY
Magn Reson Imaging; 2019 Sep; 61():33-40. PubMed ID: 31059768
[TBL] [Abstract][Full Text] [Related]
12. Predicting the tumor response to chemoradiotherapy for rectal cancer: Model development and external validation using MRI radiomics.
Bulens P; Couwenberg A; Intven M; Debucquoy A; Vandecaveye V; Van Cutsem E; D'Hoore A; Wolthuis A; Mukherjee P; Gevaert O; Haustermans K
Radiother Oncol; 2020 Jan; 142():246-252. PubMed ID: 31431368
[TBL] [Abstract][Full Text] [Related]
13. MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy.
Shin J; Seo N; Baek SE; Son NH; Lim JS; Kim NK; Koom WS; Kim S
Radiology; 2022 May; 303(2):351-358. PubMed ID: 35133200
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor study.
Wei Q; Chen Z; Tang Y; Chen W; Zhong L; Mao L; Hu S; Wu Y; Deng K; Yang W; Liu X
Eur Radiol; 2023 Mar; 33(3):1906-1917. PubMed ID: 36355199
[TBL] [Abstract][Full Text] [Related]
16. MRI prediction of pathological response in locally advanced rectal cancer: when apparent diffusion coefficient radiomics meets conventional volumetry.
Palmisano A; Di Chiara A; Esposito A; Rancoita PMV; Fiorino C; Passoni P; Albarello L; Rosati R; Del Maschio A; De Cobelli F
Clin Radiol; 2020 Oct; 75(10):798.e1-798.e11. PubMed ID: 32712007
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. MRI-based delta-radiomics are predictive of pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Wan L; Peng W; Zou S; Ye F; Geng Y; Ouyang H; Zhao X; Zhang H
Acad Radiol; 2021 Nov; 28 Suppl 1():S95-S104. PubMed ID: 33189550
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
Li ZY; Wang XD; Li M; Liu XJ; Ye Z; Song B; Yuan F; Yuan Y; Xia CC; Zhang X; Li Q
World J Gastroenterol; 2020 May; 26(19):2388-2402. PubMed ID: 32476800
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]