BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

258 related articles for article (PubMed ID: 37217246)

  • 1. Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study.
    Zhao J; Sun Z; Yu Y; Yuan Z; Lin Y; Tan Y; Duan X; Yao H; Wang Y; Liu J
    J Immunother Cancer; 2023 May; 11(5):. PubMed ID: 37217246
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. A Noninvasive Tool Based on Magnetic Resonance Imaging Radiomics for the Preoperative Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer.
    Li C; Lu N; He Z; Tan Y; Liu Y; Chen Y; Wu Z; Liu J; Ren W; Mao L; Yu Y; Xie C; Yao H
    Ann Surg Oncol; 2022 Nov; 29(12):7685-7693. PubMed ID: 35773561
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. CT-based radiomics signature of visceral adipose tissue for prediction of disease progression in patients with Crohn's disease: A multicentre cohort study.
    Li X; Zhang N; Hu C; Lin Y; Li J; Li Z; Cui E; Shi L; Zhuang X; Li J; Lu J; Wang Y; Liu R; Yuan C; Lin H; He J; Ke D; Tang S; Zou Y; He B; Sun C; Chen M; Huang B; Mao R; Feng ST
    EClinicalMedicine; 2023 Feb; 56():101805. PubMed ID: 36618894
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. MRI-Based Radiomics Methods for Predicting Ki-67 Expression in Breast Cancer: A Systematic Review and Meta-analysis.
    Tabnak P; HajiEsmailPoor Z; Baradaran B; Pashazadeh F; Aghebati Maleki L
    Acad Radiol; 2024 Mar; 31(3):763-787. PubMed ID: 37925343
    [TBL] [Abstract][Full Text] [Related]  

  • 11. T2-weighted imaging-based radiomic-clinical machine learning model for predicting the differentiation of colorectal adenocarcinoma.
    Zheng HD; Huang QY; Huang QM; Ke XT; Ye K; Lin S; Xu JH
    World J Gastrointest Oncol; 2024 Mar; 16(3):819-832. PubMed ID: 38577440
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine Learning Model Based on Radiomics for Preoperative Differentiation of Jaw Cystic Lesions.
    Fang S; Wang Y; He Y; Yu T; Xie Y; Cai Y; Li W; Wang Y; Huang Z
    Otolaryngol Head Neck Surg; 2024 Jun; 170(6):1561-1569. PubMed ID: 38557958
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Assessing treatment outcomes of chemoimmunotherapy in extensive-stage small cell lung cancer: an integrated clinical and radiomics approach.
    Zhao J; He Y; Yang X; Tian P; Zeng L; Huang K; Zhao J; Zhou J; Zhu Y; Wang Q; Chen M; Li W; Gao Y; Zhang Y; Xia Y
    J Immunother Cancer; 2023 Sep; 11(9):. PubMed ID: 37730276
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Radiomics-Clinical Model Predicts Overall Survival of Non-Small Cell Lung Cancer Patients Treated with Immunotherapy: A Multicenter Study.
    Yolchuyeva S; Giacomazzi E; Tonneau M; Ebrahimpour L; Lamaze FC; Orain M; Coulombe F; Malo J; Belkaid W; Routy B; Joubert P; Manem VSK
    Cancers (Basel); 2023 Jul; 15(15):. PubMed ID: 37568646
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study.
    Wu S; Hong G; Xu A; Zeng H; Chen X; Wang Y; Luo Y; Wu P; Liu C; Jiang N; Dang Q; Yang C; Liu B; Shen R; Chen Z; Liao C; Lin Z; Wang J; Lin T
    Lancet Oncol; 2023 Apr; 24(4):360-370. PubMed ID: 36893772
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiomics combined with transcriptomics to predict response to immunotherapy from patients treated with PD-1/PD-L1 inhibitors for advanced NSCLC.
    Bouhamama A; Leporq B; Faraz K; Foy JP; Boussageon M; Pérol M; Ortiz-Cuaran S; Ghiringhelli F; Saintigny P; Beuf O; Pilleul F
    Front Radiol; 2023; 3():1168448. PubMed ID: 37492391
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
    Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
    JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.