159 related articles for article (PubMed ID: 34271855)
1. Radiomic assessment as a method for predicting tumor mutation burden (TMB) of bladder cancer patients: a feasibility study.
Tang X; Qian WL; Yan WF; Pang T; Gong YL; Yang ZG
BMC Cancer; 2021 Jul; 21(1):823. PubMed ID: 34271855
[TBL] [Abstract][Full Text] [Related]
2. CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer.
Wang J; Wang J; Huang X; Zhou Y; Qi J; Sun X; Nie J; Hu Z; Wang S; Hong B; Wang H
BMC Med Imaging; 2024 Feb; 24(1):45. PubMed ID: 38360550
[TBL] [Abstract][Full Text] [Related]
3. Establishing a predictive model for tumor mutation burden status based on CT radiomics and clinical features of non-small cell lung cancer patients.
Yang J; Shi W; Yang Z; Yu H; Wang M; Wei Y; Wen J; Zheng W; Zhang P; Zhao W; Chen L
Transl Lung Cancer Res; 2023 Apr; 12(4):808-823. PubMed ID: 37197623
[TBL] [Abstract][Full Text] [Related]
4. Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker.
He B; Dong D; She Y; Zhou C; Fang M; Zhu Y; Zhang H; Huang Z; Jiang T; Tian J; Chen C
J Immunother Cancer; 2020 Jul; 8(2):. PubMed ID: 32636239
[TBL] [Abstract][Full Text] [Related]
5. MRI radiomics for predicting poor disease-free survival in muscle invasive bladder cancer: the results of the retrospective cohort study.
Fan ZC; Zhang L; Yang GQ; Li S; Guo JT; Bai JJ; Wang B; Li Y; Wang L; Wang XC
Abdom Radiol (NY); 2024 Jan; 49(1):151-162. PubMed ID: 37804424
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of an interpretable radiomic signature for preoperative estimation of tumor mutational burden in lung adenocarcinoma.
Zhang Y; Yang Y; Ma Y; Liu Y; Ye Z
Front Genet; 2024; 15():1367434. PubMed ID: 38660677
[TBL] [Abstract][Full Text] [Related]
7. Radiomics Study for Predicting the Expression of PD-L1 and Tumor Mutation Burden in Non-Small Cell Lung Cancer Based on CT Images and Clinicopathological Features.
Wen Q; Yang Z; Dai H; Feng A; Li Q
Front Oncol; 2021; 11():620246. PubMed ID: 34422625
[TBL] [Abstract][Full Text] [Related]
8. A novel CT-based radiomic nomogram for predicting the recurrence and metastasis of gastric stromal tumors.
Ao W; Cheng G; Lin B; Yang R; Liu X; Zhou S; Wang W; Fang Z; Tian F; Yang G; Wang J
Am J Cancer Res; 2021; 11(6):3123-3134. PubMed ID: 34249449
[TBL] [Abstract][Full Text] [Related]
9. Identification of NTRK3 as a potential prognostic biomarker associated with tumor mutation burden and immune infiltration in bladder cancer.
Zhang Z; Yu Y; Zhang P; Ma G; Zhang M; Liang Y; Jiao W; Niu H
BMC Cancer; 2021 Apr; 21(1):458. PubMed ID: 33894748
[TBL] [Abstract][Full Text] [Related]
10. Predicting Tumor Mutation Burden and
Yin W; Wang W; Zou C; Li M; Chen H; Meng F; Dong G; Wang J; Yu Q; Sun M; Xu L; Lv Y; Wang X; Yin R
J Pers Med; 2022 Dec; 13(1):. PubMed ID: 36675677
[TBL] [Abstract][Full Text] [Related]
11. A radiogenomics signature for predicting the clinical outcome of bladder urothelial carcinoma.
Lin P; Wen DY; Chen L; Li X; Li SH; Yan HB; He RQ; Chen G; He Y; Yang H
Eur Radiol; 2020 Jan; 30(1):547-557. PubMed ID: 31396730
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A novel radiomic nomogram for predicting epidermal growth factor receptor mutation in peripheral lung adenocarcinoma.
Lu X; Li M; Zhang H; Hua S; Meng F; Yang H; Li X; Cao D
Phys Med Biol; 2020 Mar; 65(5):055012. PubMed ID: 31978901
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Value of pre-therapy
Zhang J; Zhao X; Zhao Y; Zhang J; Zhang Z; Wang J; Wang Y; Dai M; Han J
Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1137-1146. PubMed ID: 31728587
[TBL] [Abstract][Full Text] [Related]
16. Development of a noninvasive tool to preoperatively evaluate the muscular invasiveness of bladder cancer using a radiomics approach.
Zheng J; Kong J; Wu S; Li Y; Cai J; Yu H; Xie W; Qin H; Wu Z; Huang J; Lin T
Cancer; 2019 Dec; 125(24):4388-4398. PubMed ID: 31469418
[TBL] [Abstract][Full Text] [Related]
17. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
[TBL] [Abstract][Full Text] [Related]
18. Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure.
Zhu WS; Shi SY; Yang ZH; Song C; Shen J
World J Gastroenterol; 2020 Mar; 26(11):1208-1220. PubMed ID: 32231424
[TBL] [Abstract][Full Text] [Related]
19. Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features.
Sun Z; Hu S; Ge Y; Wang J; Duan S; Song J; Hu C; Li Y
J Xray Sci Technol; 2020; 28(3):449-459. PubMed ID: 32176676
[TBL] [Abstract][Full Text] [Related]
20. Whole-Volume Tumor MRI Radiomics for Prognostic Modeling in Endometrial Cancer.
Fasmer KE; Hodneland E; Dybvik JA; Wagner-Larsen K; Trovik J; Salvesen Ø; Krakstad C; Haldorsen IHS
J Magn Reson Imaging; 2021 Mar; 53(3):928-937. PubMed ID: 33200420
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
