120 related articles for article (PubMed ID: 37460338)
1. A deep-learning model using enhanced chest CT images to predict PD-L1 expression in non-small-cell lung cancer patients.
Liu PM; Feng B; Shi JF; Feng HJ; Hu ZJ; Chen YH; Zhang JP
Clin Radiol; 2023 Oct; 78(10):e689-e697. PubMed ID: 37460338
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images.
Tian P; He B; Mu W; Liu K; Liu L; Zeng H; Liu Y; Jiang L; Zhou P; Huang Z; Dong D; Li W
Theranostics; 2021; 11(5):2098-2107. PubMed ID: 33500713
[No Abstract] [Full Text] [Related]
4. Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images.
Mu W; Jiang L; Shi Y; Tunali I; Gray JE; Katsoulakis E; Tian J; Gillies RJ; Schabath MB
J Immunother Cancer; 2021 Jun; 9(6):. PubMed ID: 34135101
[TBL] [Abstract][Full Text] [Related]
5. A preoperative CT-based deep learning radiomics model in predicting the stage, size, grade and necrosis score and outcome in localized clear cell renal cell carcinoma: A multicenter study.
Nie P; Liu S; Zhou R; Li X; Zhi K; Wang Y; Dai Z; Zhao L; Wang N; Zhao X; Li X; Cheng N; Wang Y; Chen C; Xu Y; Yang G
Eur J Radiol; 2023 Sep; 166():111018. PubMed ID: 37562222
[TBL] [Abstract][Full Text] [Related]
6. Non-Invasive Measurement Using Deep Learning Algorithm Based on Multi-Source Features Fusion to Predict PD-L1 Expression and Survival in NSCLC.
Wang C; Ma J; Shao J; Zhang S; Li J; Yan J; Zhao Z; Bai C; Yu Y; Li W
Front Immunol; 2022; 13():828560. PubMed ID: 35464416
[TBL] [Abstract][Full Text] [Related]
7. A Machine Learning Approach Using PET/CT-based Radiomics for Prediction of PD-L1 Expression in Non-small Cell Lung Cancer.
Lim CH; Koh YW; Hyun SH; Lee SJ
Anticancer Res; 2022 Dec; 42(12):5875-5884. PubMed ID: 36456151
[TBL] [Abstract][Full Text] [Related]
8. Radiomics for the non-invasive prediction of PD-L1 expression in patients with brain metastases secondary to non-small cell lung cancer.
Meißner AK; Gutsche R; Galldiks N; Kocher M; Jünger ST; Eich ML; Nogova L; Araceli T; Schmidt NO; Ruge MI; Goldbrunner R; Proescholdt M; Grau S; Lohmann P
J Neurooncol; 2023 Jul; 163(3):597-605. PubMed ID: 37382806
[TBL] [Abstract][Full Text] [Related]
9. Deep learning to estimate durable clinical benefit and prognosis from patients with non-small cell lung cancer treated with PD-1/PD-L1 blockade.
Peng J; Zhang J; Zou D; Xiao L; Ma H; Zhang X; Li Y; Han L; Xie B
Front Immunol; 2022; 13():960459. PubMed ID: 36420269
[TBL] [Abstract][Full Text] [Related]
10. Multiparameter spectral CT-based radiomics in predicting the expression of programmed death ligand 1 in non-small-cell lung cancer.
Zheng XX; Ma YQ; Cui YQ; Dong SS; Chang FX; Zhu DL; Huang G
Clin Radiol; 2024 Apr; 79(4):e511-e523. PubMed ID: 38307814
[TBL] [Abstract][Full Text] [Related]
11. Predicting EGFR and PD-L1 Status in NSCLC Patients Using Multitask AI System Based on CT Images.
Wang C; Ma J; Shao J; Zhang S; Liu Z; Yu Y; Li W
Front Immunol; 2022; 13():813072. PubMed ID: 35250988
[TBL] [Abstract][Full Text] [Related]
12. CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study.
Jiang Z; Dong Y; Yang L; Lv Y; Dong S; Yuan S; Li D; Liu L
J Digit Imaging; 2021 Oct; 34(5):1073-1085. PubMed ID: 34327623
[TBL] [Abstract][Full Text] [Related]
13. Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study.
Saad MB; Hong L; Aminu M; Vokes NI; Chen P; Salehjahromi M; Qin K; Sujit SJ; Lu X; Young E; Al-Tashi Q; Qureshi R; Wu CC; Carter BW; Lin SH; Lee PP; Gandhi S; Chang JY; Li R; Gensheimer MF; Wakelee HA; Neal JW; Lee HS; Cheng C; Velcheti V; Lou Y; Petranovic M; Rinsurongkawong W; Le X; Rinsurongkawong V; Spelman A; Elamin YY; Negrao MV; Skoulidis F; Gay CM; Cascone T; Antonoff MB; Sepesi B; Lewis J; Wistuba II; Hazle JD; Chung C; Jaffray D; Gibbons DL; Vaporciyan A; Lee JJ; Heymach JV; Zhang J; Wu J
Lancet Digit Health; 2023 Jul; 5(7):e404-e420. PubMed ID: 37268451
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Quantitative CT texture analysis in predicting PD-L1 expression in locally advanced or metastatic NSCLC patients.
Bracci S; Dolciami M; Trobiani C; Izzo A; Pernazza A; D'Amati G; Manganaro L; Ricci P
Radiol Med; 2021 Nov; 126(11):1425-1433. PubMed ID: 34373989
[TBL] [Abstract][Full Text] [Related]
16. Standardized 18F-FDG PET/CT radiomic features provide information on PD-L1 expression status in treatment-naïve patients with non-small cell lung cancer.
Zhang R; Hohenforst-Schmidt W; Steppert C; Sziklavari Z; Schmidkonz C; Atzinger A; Kuwert T; Klink T; Sterlacci W; Hartmann A; Vieth M; Förster S
Nuklearmedizin; 2022 Oct; 61(5):385-393. PubMed ID: 35768005
[TBL] [Abstract][Full Text] [Related]
17. Deep learning radiomics model based on PET/CT predicts PD-L1 expression in non-small cell lung cancer.
Li B; Su J; Liu K; Hu C
Eur J Radiol Open; 2024 Jun; 12():100549. PubMed ID: 38304572
[TBL] [Abstract][Full Text] [Related]
18. Assessing PD-L1 Expression Level by Radiomic Features From PET/CT in Nonsmall Cell Lung Cancer Patients: An Initial Result.
Jiang M; Sun D; Guo Y; Guo Y; Xiao J; Wang L; Yao X
Acad Radiol; 2020 Feb; 27(2):171-179. PubMed ID: 31147234
[TBL] [Abstract][Full Text] [Related]
19. Association between
Zhao L; Liu J; Wang H; Shi J
Br J Radiol; 2021 Mar; 94(1119):20200397. PubMed ID: 33492995
[TBL] [Abstract][Full Text] [Related]
20.
Hu B; Chen W; Zhang Y; Shi H; Cheng D; Xiu Y
Ann Nucl Med; 2020 May; 34(5):322-328. PubMed ID: 32130663
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
