160 related articles for article (PubMed ID: 38561648)
1. A radiomics signature derived from CT imaging to predict MSI status and immunotherapy outcomes in gastric cancer: a multi-cohort study.
Zhan PC; Yang S; Liu X; Zhang YY; Wang R; Wang JX; Qiu QY; Gao Y; Lv DB; Li LM; Luo CL; Hu ZW; Li Z; Lyu PJ; Liang P; Gao JB
BMC Cancer; 2024 Apr; 24(1):404. PubMed ID: 38561648
[TBL] [Abstract][Full Text] [Related]
2. Development and external validation of a non-invasive imaging biomarker to estimate the microsatellite instability status of gastric cancer and its prognostic value: The combination of clinical and quantitative CT-imaging features.
Zhao H; Gao J; Bai B; Wang R; Yu J; Lu H; Cheng M; Liang P
Eur J Radiol; 2023 May; 162():110719. PubMed ID: 36764010
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Magnetic resonance-based radiomics nomogram for predicting microsatellite instability status in endometrial cancer.
Lin Z; Wang T; Li H; Xiao M; Ma X; Gu Y; Qiang J
Quant Imaging Med Surg; 2023 Jan; 13(1):108-120. PubMed ID: 36620141
[TBL] [Abstract][Full Text] [Related]
5. Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19.
Wu Q; Wang S; Li L; Wu Q; Qian W; Hu Y; Li L; Zhou X; Ma H; Li H; Wang M; Qiu X; Zha Y; Tian J
Theranostics; 2020; 10(16):7231-7244. PubMed ID: 32641989
[No Abstract] [Full Text] [Related]
6. Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study.
Chen X; Yang Z; Yang J; Liao Y; Pang P; Fan W; Chen X
Cancer Imaging; 2020 Apr; 20(1):24. PubMed ID: 32248822
[TBL] [Abstract][Full Text] [Related]
7. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study.
Sun R; Limkin EJ; Vakalopoulou M; Dercle L; Champiat S; Han SR; Verlingue L; Brandao D; Lancia A; Ammari S; Hollebecque A; Scoazec JY; Marabelle A; Massard C; Soria JC; Robert C; Paragios N; Deutsch E; Ferté C
Lancet Oncol; 2018 Sep; 19(9):1180-1191. PubMed ID: 30120041
[TBL] [Abstract][Full Text] [Related]
8. A multicenter study on the preoperative prediction of gastric cancer microsatellite instability status based on computed tomography radiomics.
Liang X; Wu Y; Liu Y; Yu D; Huang C; Li Z
Abdom Radiol (NY); 2022 Jun; 47(6):2036-2045. PubMed ID: 35391567
[TBL] [Abstract][Full Text] [Related]
9. Effectiveness of CT radiomic features combined with clinical factors in predicting prognosis in patients with limited-stage small cell lung cancer.
Wu J; Zhou Y; Xu C; Yang C; Liu B; Zhao L; Song J; Wang W; Yang Y; Liu N
BMC Cancer; 2024 Feb; 24(1):170. PubMed ID: 38310283
[TBL] [Abstract][Full Text] [Related]
10. A CT-based radiomics signature for evaluating tumor infiltrating Treg cells and outcome prediction of gastric cancer.
Gao X; Ma T; Bai S; Liu Y; Zhang Y; Wu Y; Li H; Ye Z
Ann Transl Med; 2020 Apr; 8(7):469. PubMed ID: 32395513
[TBL] [Abstract][Full Text] [Related]
11. Non-invasive prediction of microsatellite instability in colorectal cancer by a genetic algorithm-enhanced artificial neural network-based CT radiomics signature.
Chen X; He L; Li Q; Liu L; Li S; Zhang Y; Liu Z; Huang Y; Mao Y; Chen X
Eur Radiol; 2023 Jan; 33(1):11-22. PubMed ID: 35771245
[TBL] [Abstract][Full Text] [Related]
12. A nomogram model based on the number of examined lymph nodes-related signature to predict prognosis and guide clinical therapy in gastric cancer.
Li H; Lin D; Yu Z; Li H; Zhao S; Hainisayimu T; Liu L; Wang K
Front Immunol; 2022; 13():947802. PubMed ID: 36405735
[TBL] [Abstract][Full Text] [Related]
13. Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer.
Ying M; Pan J; Lu G; Zhou S; Fu J; Wang Q; Wang L; Hu B; Wei Y; Shen J
BMC Cancer; 2022 May; 22(1):524. PubMed ID: 35534797
[TBL] [Abstract][Full Text] [Related]
14. Development of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy response.
Han X; Guo Y; Ye H; Chen Z; Hu Q; Wei X; Liu Z; Liang C
Breast Cancer Res; 2024 Jan; 26(1):18. PubMed ID: 38287356
[TBL] [Abstract][Full Text] [Related]
15. Predicting Microsatellite Instability Status in Colorectal Cancer Based on Triphasic Enhanced Computed Tomography Radiomics Signatures: A Multicenter Study.
Cao Y; Zhang G; Zhang J; Yang Y; Ren J; Yan X; Wang Z; Zhao Z; Huang X; Bao H; Zhou J
Front Oncol; 2021; 11():687771. PubMed ID: 34178682
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Elaboration of a multisequence MRI-based radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer: a double-center study.
Wang H; Xu X; Zhang X; Liu Y; Ouyang L; Du P; Li S; Tian Q; Ling J; Guo Y; Lu H
Eur Radiol; 2020 Sep; 30(9):4816-4827. PubMed ID: 32318846
[TBL] [Abstract][Full Text] [Related]
18. Non-invasive CT imaging biomarker to predict immunotherapy response in gastric cancer: a multicenter study.
Huang W; Xiong W; Tang L; Chen C; Yuan Q; Zhang C; Zhou K; Sun Z; Zhang T; Han Z; Feng H; Liang X; Zhong Y; Deng H; Yu L; Xu Y; Wang W; Shen L; Li G; Jiang Y
J Immunother Cancer; 2023 Nov; 11(11):. PubMed ID: 38179695
[TBL] [Abstract][Full Text] [Related]
19. Computed tomography-based radiomics nomogram for the pre-operative prediction of BRAF mutation and clinical outcomes in patients with colorectal cancer: a double-center study.
Li M; Xu G; Zhou H; Chen Q; Fan Q; Shi J; Duan S; Cui Y; Feng F
Br J Radiol; 2023 Aug; 96(1148):20230019. PubMed ID: 37195006
[TBL] [Abstract][Full Text] [Related]
20. Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.
Fan S; Li X; Cui X; Zheng L; Ren X; Ma W; Ye Z
Acad Radiol; 2019 Dec; 26(12):1633-1640. PubMed ID: 30929999
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
