These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
126 related articles for article (PubMed ID: 39301549)
1. Deep learning-based image analysis predicts PD-L1 status from Liang C; Zheng M; Zou H; Han Y; Zhan Y; Xing Y; Liu C; Zuo C; Zou J Front Oncol; 2024; 14():1402994. PubMed ID: 39301549 [TBL] [Abstract][Full Text] [Related]
2. Sensitivity and specificity of amide proton transfer-weighted imaging for assessing programmed death-ligand 1 status in non-small cell lung cancer: a comparative study with intravoxel incoherent motion and Meng N; Fu F; Sun J; Feng P; Luo Y; Wu Y; Li X; Yuan J; Yang Y; Liu H; Wang Z; Wang M Quant Imaging Med Surg; 2022 Sep; 12(9):4474-4487. PubMed ID: 36060584 [TBL] [Abstract][Full Text] [Related]
3. PD-L1 expression correlation with metabolic parameters of FDG PET/CT and clinicopathological characteristics in non-small cell lung cancer. Wu X; Huang Y; Zhao Q; Wang L; Song X; Li Y; Jiang L EJNMMI Res; 2020 May; 10(1):51. PubMed ID: 32430866 [TBL] [Abstract][Full Text] [Related]
4. [Construction of A Nomogram Prediction Model for PD-L1 Expression in Non-small Cell Lung Cancer Based on 18F-FDG PET/CT Metabolic Parameters]. Hao L; Wang L; Zhang M; Yan J; Zhang F Zhongguo Fei Ai Za Zhi; 2023 Nov; 26(11):833-842. PubMed ID: 38061885 [TBL] [Abstract][Full Text] [Related]
5. Evaluation of PD-L1 Expression Level in Patients With Non-Small Cell Lung Cancer by Li J; Ge S; Sang S; Hu C; Deng S Front Oncol; 2021; 11():789014. PubMed ID: 34976829 [TBL] [Abstract][Full Text] [Related]
6. Predicting PD-L1 expression status in patients with non-small cell lung cancer using [ Zhao X; Zhao Y; Zhang J; Zhang Z; Liu L; Zhao X EJNMMI Res; 2023 Jan; 13(1):4. PubMed ID: 36682020 [TBL] [Abstract][Full Text] [Related]
7. Retrospective Analysis of the Predictive Value of Ji J; Pang W; Song J; Wang X; Tang H; Liu Y; Yi H; Wang Y; Gu Q; Li L Diagnostics (Basel); 2023 Mar; 13(6):. PubMed ID: 36980323 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. The Value of Vekens K; Everaert H; Neyns B; Ilsen B; Decoster L Clin Lung Cancer; 2021 Sep; 22(5):432-440. PubMed ID: 33879398 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. The "digital biopsy" in non-small cell lung cancer (NSCLC): a pilot study to predict the PD-L1 status from radiomics features of [18F]FDG PET/CT. Monaco L; De Bernardi E; Bono F; Cortinovis D; Crivellaro C; Elisei F; L'Imperio V; Landoni C; Mathoux G; Musarra M; Pagni F; Turolla EA; Messa C; Guerra L Eur J Nucl Med Mol Imaging; 2022 Aug; 49(10):3401-3411. PubMed ID: 35403860 [TBL] [Abstract][Full Text] [Related]
12. Jreige M; Letovanec I; Chaba K; Renaud S; Rusakiewicz S; Cristina V; Peters S; Krueger T; de Leval L; Kandalaft LE; Nicod-Lalonde M; Romero P; Prior JO; Coukos G; Schaefer N Eur J Nucl Med Mol Imaging; 2019 Aug; 46(9):1859-1868. PubMed ID: 31214790 [TBL] [Abstract][Full Text] [Related]
13. New insight on the correlation of metabolic status on Wang Y; Zhao N; Wu Z; Pan N; Shen X; Liu T; Wei F; You J; Xu W; Ren X Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1127-1136. PubMed ID: 31502013 [TBL] [Abstract][Full Text] [Related]
14. The predictive value of total-body PET/CT in non-small cell lung cancer for the PD-L1 high expression. Hu B; Jin H; Li X; Wu X; Xu J; Gao Y Front Oncol; 2022; 12():943933. PubMed ID: 36212409 [TBL] [Abstract][Full Text] [Related]
15. Prognostic significance of volume-based 18F-FDG PET/CT parameters and correlation with PD-L1 expression in patients with surgically resected lung adenocarcinoma. Wang D; Li Y; Chen X; Li P Medicine (Baltimore); 2021 Sep; 100(35):e27100. PubMed ID: 34477147 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Predictive value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography for PD-L1 expression in non-small cell lung cancer: A systematic review and meta-analysis. Seol HY; Kim YS; Kim SJ Thorac Cancer; 2020 Nov; 11(11):3260-3268. PubMed ID: 32951338 [TBL] [Abstract][Full Text] [Related]
18. Correlation of epidermal growth factor receptor mutation status and PD-L1 expression with [18F]FDG PET using volume-based parameters in non-small cell lung cancer. Ishimura M; Norikane T; Mitamura K; Yamamoto Y; Arai-Okuda H; Murota M; Ibuki E; Kanaji N; Nishiyama Y Nucl Med Commun; 2022 Mar; 43(3):304-309. PubMed ID: 34908022 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. The radiomic biomarker in non-small cell lung cancer: Wang YB; He X; Song X; Li M; Zhu D; Zhang F; Chen Q; Lu Y; Wang Y Clin Radiol; 2023 Oct; 78(10):e732-e740. PubMed ID: 37419772 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]