197 related articles for article (PubMed ID: 37958309)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. Development and Validation of a Radiomics Model Based on Lymph-Node Regression Grading After Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.
Zhang S; Tang B; Yu M; He L; Zheng P; Yan C; Li J; Peng Q
Int J Radiat Oncol Biol Phys; 2023 Nov; 117(4):821-833. PubMed ID: 37230433
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models.
Li Z; Ma X; Shen F; Lu H; Xia Y; Lu J
BMC Med Imaging; 2021 Feb; 21(1):30. PubMed ID: 33593304
[TBL] [Abstract][Full Text] [Related]
9. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.
Liu Z; Zhang XY; Shi YJ; Wang L; Zhu HT; Tang Z; Wang S; Li XT; Tian J; Sun YS
Clin Cancer Res; 2017 Dec; 23(23):7253-7262. PubMed ID: 28939744
[No Abstract] [Full Text] [Related]
12. 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]
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. Pre-Treatment Computed Tomography Radiomics for Predicting the Response to Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer: A Retrospective Study.
Mao Y; Pei Q; Fu Y; Liu H; Chen C; Li H; Gong G; Yin H; Pang P; Lin H; Xu B; Zai H; Yi X; Chen BT
Front Oncol; 2022; 12():850774. PubMed ID: 35619922
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by Surgery.
Qiu Q; Duan J; Deng H; Han Z; Gu J; Yue NJ; Yin Y
Front Oncol; 2020; 10():1398. PubMed ID: 32850451
[No Abstract] [Full Text] [Related]
17. CT-based delta-radiomics nomogram to predict pathological complete response after neoadjuvant chemoradiotherapy in esophageal squamous cell carcinoma patients.
Fan L; Yang Z; Chang M; Chen Z; Wen Q
J Transl Med; 2024 Jun; 22(1):579. PubMed ID: 38890720
[TBL] [Abstract][Full Text] [Related]
18. Endorectal ultrasound radiomics in locally advanced rectal cancer patients: despeckling and radiotherapy response prediction using machine learning.
Abbaspour S; Abdollahi H; Arabalibeik H; Barahman M; Arefpour AM; Fadavi P; Ay M; Mahdavi SR
Abdom Radiol (NY); 2022 Nov; 47(11):3645-3659. PubMed ID: 35951085
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. MRI-Based Radiomics Predicts Tumor Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.
Yi X; Pei Q; Zhang Y; Zhu H; Wang Z; Chen C; Li Q; Long X; Tan F; Zhou Z; Liu W; Li C; Zhou Y; Song X; Li Y; Liao W; Li X; Sun L; Pei H; Zee C; Chen BT
Front Oncol; 2019; 9():552. PubMed ID: 31293979
[No Abstract] [Full Text] [Related]
[Next] [New Search]
