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.
228 related articles for article (PubMed ID: 37268451)
1. 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]
2. 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]
3. Integration of longitudinal deep-radiomics and clinical data improves the prediction of durable benefits to anti-PD-1/PD-L1 immunotherapy in advanced NSCLC patients. Farina B; Guerra ADR; Bermejo-Peláez D; Miras CP; Peral AA; Madueño GG; Jaime JC; Vilalta-Lacarra A; Pérez JR; Muñoz-Barrutia A; Peces-Barba GR; Maceiras LS; Gil-Bazo I; Gómez MD; Ledesma-Carbayo MJ J Transl Med; 2023 Mar; 21(1):174. PubMed ID: 36872371 [TBL] [Abstract][Full Text] [Related]
4. Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer. Yang B; Zhou L; Zhong J; Lv T; Li A; Ma L; Zhong J; Yin S; Huang L; Zhou C; Li X; Ge YQ; Tao X; Zhang L; Son Y; Lu G Respir Res; 2021 Jun; 22(1):189. PubMed ID: 34183009 [TBL] [Abstract][Full Text] [Related]
5. CT-based deep learning radiomics biomarker for programmed cell death ligand 1 expression in non-small cell lung cancer. Xu T; Liu X; Chen Y; Wang S; Jiang C; Gong J BMC Med Imaging; 2024 Jul; 24(1):196. PubMed ID: 39085788 [TBL] [Abstract][Full Text] [Related]
6. Oncogene-specific differences in tumor mutational burden, PD-L1 expression, and outcomes from immunotherapy in non-small cell lung cancer. Negrao MV; Skoulidis F; Montesion M; Schulze K; Bara I; Shen V; Xu H; Hu S; Sui D; Elamin YY; Le X; Goldberg ME; Murugesan K; Wu CJ; Zhang J; Barreto DS; Robichaux JP; Reuben A; Cascone T; Gay CM; Mitchell KG; Hong L; Rinsurongkawong W; Roth JA; Swisher SG; Lee J; Tsao A; Papadimitrakopoulou V; Gibbons DL; Glisson BS; Singal G; Miller VA; Alexander B; Frampton G; Albacker LA; Shames D; Zhang J; Heymach JV J Immunother Cancer; 2021 Aug; 9(8):. PubMed ID: 34376553 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Single or combined immune checkpoint inhibitors compared to first-line platinum-based chemotherapy with or without bevacizumab for people with advanced non-small cell lung cancer. Ferrara R; Imbimbo M; Malouf R; Paget-Bailly S; Calais F; Marchal C; Westeel V Cochrane Database Syst Rev; 2020 Dec; 12(12):CD013257. PubMed ID: 33316104 [TBL] [Abstract][Full Text] [Related]
9. Integration of comprehensive genomic profiling, tumor mutational burden, and PD-L1 expression to identify novel biomarkers of immunotherapy in non-small cell lung cancer. Shi Y; Lei Y; Liu L; Zhang S; Wang W; Zhao J; Zhao S; Dong X; Yao M; Wang K; Zhou Q Cancer Med; 2021 Apr; 10(7):2216-2231. PubMed ID: 33655698 [TBL] [Abstract][Full Text] [Related]
10. Pretreatment radiomic biomarker for immunotherapy responder prediction in stage IB-IV NSCLC (LCDigital-IO Study): a multicenter retrospective study. Wu S; Zhan W; Liu L; Xie D; Yao L; Yao H; Liao G; Huang L; Zhou Y; You P; Huang Z; Li Q; Xu B; Wang S; Wang G; Zhang DK; Qiao G; Chan LW; Lanuti M; Zhou H J Immunother Cancer; 2023 Oct; 11(10):. PubMed ID: 37865396 [TBL] [Abstract][Full Text] [Related]
11. Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade. Vaidya P; Bera K; Patil PD; Gupta A; Jain P; Alilou M; Khorrami M; Velcheti V; Madabhushi A J Immunother Cancer; 2020 Oct; 8(2):. PubMed ID: 33051342 [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. Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model. Gong J; Wang T; Wang Z; Chu X; Hu T; Li M; Peng W; Feng F; Tong T; Gu Y Cancer Imaging; 2024 Jan; 24(1):1. PubMed ID: 38167564 [TBL] [Abstract][Full Text] [Related]
14. Ct-based subregional radiomics using hand-crafted and deep learning features for prediction of therapeutic response to anti-PD1 therapy in NSCLC. Hu Y; Jiang T; Wang H; Song J; Yang Z; Wang Y; Su J; Jin M; Chang S; Deng K; Jiang W Phys Med; 2024 Jan; 117():103200. PubMed ID: 38160516 [TBL] [Abstract][Full Text] [Related]
15. Radiomics predicts risk of cachexia in advanced NSCLC patients treated with immune checkpoint inhibitors. Mu W; Katsoulakis E; Whelan CJ; Gage KL; Schabath MB; Gillies RJ Br J Cancer; 2021 Jul; 125(2):229-239. PubMed ID: 33828255 [TBL] [Abstract][Full Text] [Related]
16. Association of Survival and Immune-Related Biomarkers With Immunotherapy in Patients With Non-Small Cell Lung Cancer: A Meta-analysis and Individual Patient-Level Analysis. Yu Y; Zeng D; Ou Q; Liu S; Li A; Chen Y; Lin D; Gao Q; Zhou H; Liao W; Yao H JAMA Netw Open; 2019 Jul; 2(7):e196879. PubMed ID: 31290993 [TBL] [Abstract][Full Text] [Related]
17. Durvalumab as third-line or later treatment for advanced non-small-cell lung cancer (ATLANTIC): an open-label, single-arm, phase 2 study. Garassino MC; Cho BC; Kim JH; Mazières J; Vansteenkiste J; Lena H; Corral Jaime J; Gray JE; Powderly J; Chouaid C; Bidoli P; Wheatley-Price P; Park K; Soo RA; Huang Y; Wadsworth C; Dennis PA; Rizvi NA; Lancet Oncol; 2018 Apr; 19(4):521-536. PubMed ID: 29545095 [TBL] [Abstract][Full Text] [Related]
18. From pixels to patient care: deep learning-enabled pathomics signature offers precise outcome predictions for immunotherapy in esophageal squamous cell cancer. Li B; Qin W; Yang L; Li H; Jiang C; Yao Y; Cheng S; Zou B; Fan B; Dong T; Wang L J Transl Med; 2024 Feb; 22(1):195. PubMed ID: 38388379 [TBL] [Abstract][Full Text] [Related]
19. Noninvasive radiomic biomarkers for predicting pseudoprogression and hyperprogression in patients with non-small cell lung cancer treated with immune checkpoint inhibition. Li Y; Wang P; Xu J; Shi X; Yin T; Teng F Oncoimmunology; 2024; 13(1):2312628. PubMed ID: 38343749 [TBL] [Abstract][Full Text] [Related]
20. A Novel Radiogenomics Biomarker for Predicting Treatment Response and Pneumotoxicity From Programmed Cell Death Protein or Ligand-1 Inhibition Immunotherapy in NSCLC. Chen M; Lu H; Copley SJ; Han Y; Logan A; Viola P; Cortellini A; Pinato DJ; Power D; Aboagye EO J Thorac Oncol; 2023 Jun; 18(6):718-730. PubMed ID: 36773776 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]