180 related articles for article (PubMed ID: 37439939)
1. Using clinical and radiomic feature-based machine learning models to predict pathological complete response in patients with esophageal squamous cell carcinoma receiving neoadjuvant chemoradiation.
Wang J; Zhu X; Zeng J; Liu C; Shen W; Sun X; Lin Q; Fang J; Chen Q; Ji Y
Eur Radiol; 2023 Dec; 33(12):8554-8563. PubMed ID: 37439939
[TBL] [Abstract][Full Text] [Related]
2. A machine learning approach using
Qi WX; Li S; Xiao J; Li H; Chen J; Zhao S
Front Immunol; 2024; 15():1351750. PubMed ID: 38352868
[TBL] [Abstract][Full Text] [Related]
3. Diffusion-weighted MRI and
Xu X; Sun ZY; Wu HW; Zhang CP; Hu B; Rong L; Chen HY; Xie HY; Wang YM; Lin HP; Bai YR; Ye Q; Ma XM
Radiat Oncol; 2021 Jul; 16(1):132. PubMed ID: 34281566
[TBL] [Abstract][Full Text] [Related]
4. Computed tomography-based deep-learning prediction of neoadjuvant chemoradiotherapy treatment response in esophageal squamous cell carcinoma.
Hu Y; Xie C; Yang H; Ho JWK; Wen J; Han L; Lam KO; Wong IYH; Law SYK; Chiu KWH; Vardhanabhuti V; Fu J
Radiother Oncol; 2021 Jan; 154():6-13. PubMed ID: 32941954
[TBL] [Abstract][Full Text] [Related]
5. CT-based radiomic signatures for prediction of pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy.
Yang Z; He B; Zhuang X; Gao X; Wang D; Li M; Lin Z; Luo R
J Radiat Res; 2019 Jul; 60(4):538-545. PubMed ID: 31111948
[TBL] [Abstract][Full Text] [Related]
6. MR radiomics predicts pathological complete response of esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy: a multicenter study.
Liu Y; Wang Y; Wang X; Xue L; Zhang H; Ma Z; Deng H; Yang Z; Sun X; Men Y; Ye F; Men K; Qin J; Bi N; Wang Q; Hui Z
Cancer Imaging; 2024 Jan; 24(1):16. PubMed ID: 38263134
[TBL] [Abstract][Full Text] [Related]
7. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer.
Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH
Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507
[TBL] [Abstract][Full Text] [Related]
8. Contrast-enhanced CT-based radiomic analysis for determining the response to anti-programmed death-1 therapy in esophageal squamous cell carcinoma patients: A pilot study.
Yang Q; Huang H; Zhang G; Weng N; Ou Z; Sun M; Luo H; Zhou X; Gao Y; Wu X
Thorac Cancer; 2023 Nov; 14(33):3266-3274. PubMed ID: 37743537
[TBL] [Abstract][Full Text] [Related]
9. Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomics.
Jin X; Zheng X; Chen D; Jin J; Zhu G; Deng X; Han C; Gong C; Zhou Y; Liu C; Xie C
Eur Radiol; 2019 Nov; 29(11):6080-6088. PubMed ID: 31028447
[TBL] [Abstract][Full Text] [Related]
10. The MRI radiomics signature can predict the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma.
Lu S; Wang C; Liu Y; Chu F; Jia Z; Zhang H; Wang Z; Lu Y; Wang S; Yang G; Qu J
Eur Radiol; 2024 Jan; 34(1):485-494. PubMed ID: 37540319
[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. Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.
Coroller TP; Agrawal V; Huynh E; Narayan V; Lee SW; Mak RH; Aerts HJWL
J Thorac Oncol; 2017 Mar; 12(3):467-476. PubMed ID: 27903462
[TBL] [Abstract][Full Text] [Related]
13. Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer.
Zhuang Z; Liu Z; Li J; Wang X; Xie P; Xiong F; Hu J; Meng X; Huang M; Deng Y; Lan P; Yu H; Luo Y
J Transl Med; 2021 Jun; 19(1):256. PubMed ID: 34112180
[TBL] [Abstract][Full Text] [Related]
14. Assessment of Intratumoral and Peritumoral Computed Tomography Radiomics for Predicting Pathological Complete Response to Neoadjuvant Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma.
Hu Y; Xie C; Yang H; Ho JWK; Wen J; Han L; Chiu KWH; Fu J; Vardhanabhuti V
JAMA Netw Open; 2020 Sep; 3(9):e2015927. PubMed ID: 32910196
[TBL] [Abstract][Full Text] [Related]
15. CT radiomic features for predicting resectability of oesophageal squamous cell carcinoma as given by feature analysis: a case control study.
Ou J; Li R; Zeng R; Wu CQ; Chen Y; Chen TW; Zhang XM; Wu L; Jiang Y; Yang JQ; Cao JM; Tang S; Tang MJ; Hu J
Cancer Imaging; 2019 Oct; 19(1):66. PubMed ID: 31619297
[TBL] [Abstract][Full Text] [Related]
16. Computed tomography-based radiomic analysis for predicting pathological response and prognosis after neoadjuvant chemotherapy in patients with locally advanced esophageal cancer.
Oda S; Kuno H; Hiyama T; Sakashita S; Sasaki T; Kobayashi T
Abdom Radiol (NY); 2023 Aug; 48(8):2503-2513. PubMed ID: 37171586
[TBL] [Abstract][Full Text] [Related]
17. The role of
Wang X; Yang W; Zhou Q; Luo H; Chen W; Yeung SJ; Zhang S; Gan Y; Zeng B; Liu Z; Feng S; Zhang X; Cheng C
Eur J Nucl Med Mol Imaging; 2022 Oct; 49(12):4241-4251. PubMed ID: 35732974
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Ability of Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography to Predict Outcomes of Neoadjuvant Chemoradiotherapy Followed by Surgical Treatment for Esophageal Squamous Cell Carcinoma.
Hamai Y; Hihara J; Emi M; Furukawa T; Yamakita I; Kurokawa T; Okada M
Ann Thorac Surg; 2016 Oct; 102(4):1132-9. PubMed ID: 27319990
[TBL] [Abstract][Full Text] [Related]
20. Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma-A Pilot Study.
Xie CY; Hu YH; Ho JW; Han LJ; Yang H; Wen J; Lam KO; Wong IY; Law SY; Chiu KW; Fu JH; Vardhanabhuti V
Cancers (Basel); 2021 Apr; 13(9):. PubMed ID: 33946826
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]