419 related articles for article (PubMed ID: 32910196)
1. 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]
2. Intratumoral and peritumoral radiomics for preoperative prediction of neoadjuvant chemotherapy effect in breast cancer based on contrast-enhanced spectral mammography.
Mao N; Shi Y; Lian C; Wang Z; Zhang K; Xie H; Zhang H; Chen Q; Cheng G; Xu C; Dai Y
Eur Radiol; 2022 May; 32(5):3207-3219. PubMed ID: 35066632
[TBL] [Abstract][Full Text] [Related]
3. Development and Validation of a Computed Tomography-Based Radiomics Signature to Predict Response to Neoadjuvant Chemotherapy for Locally Advanced Gastric Cancer.
Wang W; Peng Y; Feng X; Zhao Y; Seeruttun SR; Zhang J; Cheng Z; Li Y; Liu Z; Zhou Z
JAMA Netw Open; 2021 Aug; 4(8):e2121143. PubMed ID: 34410397
[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. Intratumoral and peritumoral CT-based radiomics for predicting the microsatellite instability in gastric cancer.
Chen X; Zhuang Z; Pen L; Xue J; Zhu H; Zhang L; Wang D
Abdom Radiol (NY); 2024 May; 49(5):1363-1375. PubMed ID: 38305796
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A radiomics strategy based on CT intra-tumoral and peritumoral regions for preoperative prediction of neoadjuvant chemoradiotherapy for esophageal cancer.
Li Z; Wang F; Zhang H; Xie S; Peng L; Xu H; Wang Y
Eur J Surg Oncol; 2024 Apr; 50(4):108052. PubMed ID: 38447320
[TBL] [Abstract][Full Text] [Related]
8. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
Braman NM; Etesami M; Prasanna P; Dubchuk C; Gilmore H; Tiwari P; Plecha D; Madabhushi A
Breast Cancer Res; 2017 May; 19(1):57. PubMed ID: 28521821
[TBL] [Abstract][Full Text] [Related]
9. An integrated model combined intra- and peritumoral regions for predicting chemoradiation response of non small cell lung cancers based on radiomics and deep learning.
Ma Y; Li Q
Cancer Radiother; 2023 Dec; 27(8):705-711. PubMed ID: 37932182
[TBL] [Abstract][Full Text] [Related]
10. Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)-Positive Breast Cancer.
Braman N; Prasanna P; Whitney J; Singh S; Beig N; Etesami M; Bates DDB; Gallagher K; Bloch BN; Vulchi M; Turk P; Bera K; Abraham J; Sikov WM; Somlo G; Harris LN; Gilmore H; Plecha D; Varadan V; Madabhushi A
JAMA Netw Open; 2019 Apr; 2(4):e192561. PubMed ID: 31002322
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Intratumoral and peritumoral radiomics predict pathological response after neoadjuvant chemotherapy against advanced gastric cancer.
Liu C; Li L; Chen X; Huang C; Wang R; Liu Y; Gao J
Insights Imaging; 2024 Jan; 15(1):23. PubMed ID: 38270724
[TBL] [Abstract][Full Text] [Related]
13. Use of
Iqbal SA; Goel S; Aggarwal A; Gupta N; Gupta M; Durga G; Talwar V; Singh S
J Gastrointest Cancer; 2021 Sep; 52(3):1073-1080. PubMed ID: 33128717
[TBL] [Abstract][Full Text] [Related]
14. Decoding tumor stage by peritumoral and intratumoral radiomics in resectable esophageal squamous cell carcinoma.
Tan XZ; Ma R; Liu P; Xiao CH; Zhang HH; Yang F; Liang CH; Liu ZY
Abdom Radiol (NY); 2024 Jan; 49(1):301-311. PubMed ID: 37831168
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms.
Zheng G; Peng J; Shu Z; Jin H; Han L; Yuan Z; Qin X; Hou J; He X; Gong X
J Cancer Res Clin Oncol; 2024 Mar; 150(3):147. PubMed ID: 38512406
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. [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]
20. 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]
[Next] [New Search]
