222 related articles for article (PubMed ID: 37540319)
21. DCE-MRI radiomics nomogram can predict response to neoadjuvant chemotherapy in esophageal cancer.
Qu J; Ma L; Lu Y; Wang Z; Guo J; Zhang H; Yan X; Liu H; Kamel IR; Qin J; Li H
Discov Oncol; 2022 Jan; 13(1):3. PubMed ID: 35201487
[TBL] [Abstract][Full Text] [Related]
22. Quantitative RECIST derived from multiparametric MRI in evaluating response of esophageal squamous cell carcinoma to neoadjuvant therapy.
Qu J; Zhang Y; Lu S; Xing W; Zheng Y; Sun H; Gao Q; Xia Q; Wang Z; Zhang H; Wang S; Qin J; Kamel IR; Li H
Eur Radiol; 2022 Oct; 32(10):7295-7306. PubMed ID: 36048205
[TBL] [Abstract][Full Text] [Related]
23. Predicting response to immunotherapy plus chemotherapy in patients with esophageal squamous cell carcinoma using non-invasive Radiomic biomarkers.
Zhu Y; Yao W; Xu BC; Lei YY; Guo QK; Liu LZ; Li HJ; Xu M; Yan J; Chang DD; Feng ST; Zhu ZH
BMC Cancer; 2021 Oct; 21(1):1167. PubMed ID: 34717582
[TBL] [Abstract][Full Text] [Related]
24. Delta-radiomics features for predicting the major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer.
Han X; Wang M; Zheng Y; Wang N; Wu Y; Ding C; Jia X; Yang R; Geng M; Chen Z; Zhang S; Zhang K; Li Y; Liu J; Gu J; Liao Y; Fan J; Shi H
Eur Radiol; 2024 Apr; 34(4):2716-2726. PubMed ID: 37736804
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Computed tomography-based radiomics analysis to predict lymphovascular invasion in esophageal squamous cell carcinoma.
Peng H; Yang Q; Xue T; Chen Q; Li M; Duan S; Cai B; Feng F
Br J Radiol; 2022 Feb; 95(1130):20210918. PubMed ID: 34908477
[TBL] [Abstract][Full Text] [Related]
27. [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]
28. 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]
29. Radiomics Based on Dynamic Contrast-Enhanced MRI to Early Predict Pathologic Complete Response in Breast Cancer Patients Treated with Neoadjuvant Therapy.
Zeng Q; Ke M; Zhong L; Zhou Y; Zhu X; He C; Liu L
Acad Radiol; 2023 Aug; 30(8):1638-1647. PubMed ID: 36564256
[TBL] [Abstract][Full Text] [Related]
30. Prediction of neoadjuvant chemotherapy pathological complete response for breast cancer based on radiomics nomogram of intratumoral and derived tissue.
Zheng G; Hou J; Shu Z; Peng J; Han L; Yuan Z; He X; Gong X
BMC Med Imaging; 2024 Jan; 24(1):22. PubMed ID: 38245712
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study.
Chen H; Zhang X; Wang X; Quan X; Deng Y; Lu M; Wei Q; Ye Q; Zhou Q; Xiang Z; Liang C; Yang W; Zhao Y
Eur Radiol; 2021 Oct; 31(10):7913-7924. PubMed ID: 33825032
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. 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]
35. 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]
36. Preoperative CT radiomics of esophageal squamous cell carcinoma and lymph node to predict nodal disease with a high diagnostic capability.
Wu YP; Wu L; Ou J; Cao JM; Fu MY; Chen TW; Ouchi E; Hu J
Eur J Radiol; 2024 Jan; 170():111197. PubMed ID: 37992611
[TBL] [Abstract][Full Text] [Related]
37. Multidetector CT for Restaging Locally Advanced Esophageal Squamous Cell Carcinoma and Assessing Therapeutic Response to Neoadjuvant Chemotherapy.
Shi Y; Chen Y; Li X; Wang Z; Sun Y
Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2017 Feb; 39(1):133-139. PubMed ID: 28270296
[TBL] [Abstract][Full Text] [Related]
38. A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma.
Lin P; Yang PF; Chen S; Shao YY; Xu L; Wu Y; Teng W; Zhou XZ; Li BH; Luo C; Xu LM; Huang M; Niu TY; Ye ZM
Cancer Imaging; 2020 Jan; 20(1):7. PubMed ID: 31937372
[TBL] [Abstract][Full Text] [Related]
39. Delta-radiomics based on CT predicts pathologic complete response in ESCC treated with neoadjuvant immunochemotherapy and surgery.
Li K; Li Y; Wang Z; Huang C; Sun S; Liu X; Fan W; Zhang G; Li X
Front Oncol; 2023; 13():1131883. PubMed ID: 37251937
[TBL] [Abstract][Full Text] [Related]
40. Radiomics Nomogram with Added Nodal Features Improves Treatment Response Prediction in Locally Advanced Esophageal Squamous Cell Carcinoma: A Multicenter Study.
Li K; Zhang S; Hu Y; Cai A; Ao Y; Gong J; Liang M; Yang S; Chen X; Li M; Tian J; Shan H
Ann Surg Oncol; 2023 Dec; 30(13):8231-8243. PubMed ID: 37755566
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
