213 related articles for article (PubMed ID: 33901863)
1. Delta radiomics for rectal cancer response prediction using low field magnetic resonance guided radiotherapy: an external validation.
Cusumano D; Boldrini L; Yadav P; Yu G; Musurunu B; Chiloiro G; Piras A; Lenkowicz J; Placidi L; Romano A; De Luca V; Votta C; Barbaro B; Gambacorta MA; Bassetti MF; Yang Y; Indovina L; Valentini V
Phys Med; 2021 Apr; 84():186-191. PubMed ID: 33901863
[TBL] [Abstract][Full Text] [Related]
2. Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach.
Boldrini L; Cusumano D; Chiloiro G; Casà C; Masciocchi C; Lenkowicz J; Cellini F; Dinapoli N; Azario L; Teodoli S; Gambacorta MA; De Spirito M; Valentini V
Radiol Med; 2019 Feb; 124(2):145-153. PubMed ID: 30374650
[TBL] [Abstract][Full Text] [Related]
3. A Predictive Model of 2yDFS During MR-Guided RT Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Patients.
Chiloiro G; Boldrini L; Preziosi F; Cusumano D; Yadav P; Romano A; Placidi L; Lenkowicz J; Dinapoli N; Bassetti MF; Gambacorta MA; Valentini V
Front Oncol; 2022; 12():831712. PubMed ID: 35280799
[TBL] [Abstract][Full Text] [Related]
4. Radiomics-enhanced early regression index for predicting treatment response in rectal cancer: a multi-institutional 0.35 T MRI-guided radiotherapy study.
Boldrini L; Chiloiro G; Cusumano D; Yadav P; Yu G; Romano A; Piras A; Votta C; Placidi L; Broggi S; Catucci F; Lenkowicz J; Indovina L; Bassetti MF; Yang Y; Fiorino C; Valentini V; Gambacorta MA
Radiol Med; 2024 Apr; 129(4):615-622. PubMed ID: 38512616
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. Delta Radiomics Analysis for Local Control Prediction in Pancreatic Cancer Patients Treated Using Magnetic Resonance Guided Radiotherapy.
Cusumano D; Boldrini L; Yadav P; Casà C; Lee SL; Romano A; Piras A; Chiloiro G; Placidi L; Catucci F; Votta C; Mattiucci GC; Indovina L; Gambacorta MA; Bassetti M; Valentini V
Diagnostics (Basel); 2021 Jan; 11(1):. PubMed ID: 33466307
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. External Validation of Early Regression Index (ERI
Cusumano D; Boldrini L; Yadav P; Yu G; Musurunu B; Chiloiro G; Piras A; Lenkowicz J; Placidi L; Broggi S; Romano A; Mori M; Barbaro B; Azario L; Gambacorta MA; De Spirito M; Bassetti MF; Yang Y; Fiorino C; Valentini V
Int J Radiat Oncol Biol Phys; 2020 Dec; 108(5):1347-1356. PubMed ID: 32758641
[TBL] [Abstract][Full Text] [Related]
11. [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]
12. Applicability of a pathological complete response magnetic resonance-based radiomics model for locally advanced rectal cancer in intercontinental cohort.
Boldrini L; Lenkowicz J; Orlandini LC; Yin G; Cusumano D; Chiloiro G; Dinapoli N; Peng Q; Casà C; Gambacorta MA; Valentini V; Lang J
Radiat Oncol; 2022 Apr; 17(1):78. PubMed ID: 35428267
[TBL] [Abstract][Full Text] [Related]
13. [Application value of texture analysis of magnetic resonance images in prediction of neoadjuvant chemoradiotherapy efficacy for rectal cancer].
Shu Z; Fang S; Ding Z; Mao D; Pang P; Gong X
Zhonghua Wei Chang Wai Ke Za Zhi; 2018 Sep; 21(9):1051-1058. PubMed ID: 30269327
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. 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]
18. Developing a prediction model based on MRI for pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Wan L; Zhang C; Zhao Q; Meng Y; Zou S; Yang Y; Liu Y; Jiang J; Ye F; Ouyang H; Zhao X; Zhang H
Abdom Radiol (NY); 2019 Sep; 44(9):2978-2987. PubMed ID: 31327039
[TBL] [Abstract][Full Text] [Related]
19. 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]
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]
