BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

204 related articles for article (PubMed ID: 36311742)

  • 21. 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]  

  • 22. Intratumor Heterogeneity Assessed by
    Lue KH; Wu YF; Liu SH; Hsieh TC; Chuang KS; Lin HH; Chen YH
    Acad Radiol; 2020 Aug; 27(8):e183-e192. PubMed ID: 31761665
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Radiomics based on machine learning algorithms could predict prognosis and postoperative chemotherapy benefits of patients with gastric cancer: a retrospective cohort study.
    Xiang Y; Hu Y; Chen C; Zhi H; Zhang Z; Lu M; Chen X; Luo Z; Chen S; Dias-Neto E; Pizzini P; Chen X; Chen X; Zhuang Y; Dong Q
    J Gastrointest Oncol; 2023 Oct; 14(5):2048-2063. PubMed ID: 37969820
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Prognostic significance of interim
    Lee SY; Seo HJ; Kim S; Eo JS; Oh SC
    Asia Pac J Clin Oncol; 2018 Oct; 14(5):e302-e309. PubMed ID: 29226597
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Generation and validation of a PET radiomics model that predicts survival in diffuse large B cell lymphoma treated with R-CHOP14: A SAKK 38/07 trial post-hoc analysis.
    Ceriani L; Milan L; Cascione L; Gritti G; Dalmasso F; Esposito F; Pirosa MC; Schär S; Bruno A; Dirnhofer S; Giovanella L; Hayoz S; Mamot C; Rambaldi A; Chauvie S; Zucca E
    Hematol Oncol; 2022 Feb; 40(1):11-21. PubMed ID: 34714558
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Development and validation of an
    Wang H; Zhao S; Li L; Tian R
    Eur Radiol; 2020 Oct; 30(10):5578-5587. PubMed ID: 32435928
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Development and Validation of a Radiomics Model Based on
    Xue B; Jiang J; Chen L; Wu S; Zheng X; Zheng X; Tang K
    Front Oncol; 2021; 11():740111. PubMed ID: 34765549
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Radiomics nomogram for prediction disease-free survival and adjuvant chemotherapy benefits in patients with resected stage I lung adenocarcinoma.
    Xie D; Wang TT; Huang SJ; Deng JJ; Ren YJ; Yang Y; Wu JQ; Zhang L; Fei K; Sun XW; She YL; Chen C
    Transl Lung Cancer Res; 2020 Aug; 9(4):1112-1123. PubMed ID: 32953490
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
    Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
    EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Prediction of outcome using pretreatment
    Lucia F; Visvikis D; Desseroit MC; Miranda O; Malhaire JP; Robin P; Pradier O; Hatt M; Schick U
    Eur J Nucl Med Mol Imaging; 2018 May; 45(5):768-786. PubMed ID: 29222685
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Development and Validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer: A Multicenter, Retrospective Study.
    Jiang Y; Jin C; Yu H; Wu J; Chen C; Yuan Q; Huang W; Hu Y; Xu Y; Zhou Z; Fisher GA; Li G; Li R
    Ann Surg; 2021 Dec; 274(6):e1153-e1161. PubMed ID: 31913871
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Discovery of pre-therapy 2-deoxy-2-
    Arshad MA; Thornton A; Lu H; Tam H; Wallitt K; Rodgers N; Scarsbrook A; McDermott G; Cook GJ; Landau D; Chua S; O'Connor R; Dickson J; Power DA; Barwick TD; Rockall A; Aboagye EO
    Eur J Nucl Med Mol Imaging; 2019 Feb; 46(2):455-466. PubMed ID: 30173391
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Prediction of Overall Survival and Progression-Free Survival by the
    Zhou Y; Ma XL; Pu LT; Zhou RF; Ou XJ; Tian R
    Contrast Media Mol Imaging; 2019; 2019():5963607. PubMed ID: 31777473
    [No Abstract]   [Full Text] [Related]  

  • 34. Intra-tumor metabolic heterogeneity of gastric cancer on
    Liu G; Yin H; Cheng X; Wang Y; Hu Y; Liu T; Shi H
    Clin Exp Med; 2021 Feb; 21(1):129-138. PubMed ID: 32880779
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Development and validation of CT‑based radiomics model of PET-negative residual CT masses: a potential biomarker for predicting relapse‑free survival in non-Hodgkin lymphoma patients showing complete metabolic response.
    Cha SH; Kang KW; Han NY; Cho Y; Sung DJ; Park BJ; Kim MJ; Sim KC; Han YE; Sung HJ
    Abdom Radiol (NY); 2024 Jan; 49(1):341-353. PubMed ID: 37884749
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Immune microenvironment of the gene signature reflecting the standardised uptake value on
    Han S; Oh JS; Kim JS
    Ann Nucl Med; 2021 Jan; 35(1):65-75. PubMed ID: 33044632
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variables.
    Fan L; Li J; Zhang H; Yin H; Zhang R; Zhang J; Chen X
    Abdom Radiol (NY); 2022 Apr; 47(4):1209-1222. PubMed ID: 35089370
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.
    Jiang Y; Liang X; Han Z; Wang W; Xi S; Li T; Chen C; Yuan Q; Li N; Yu J; Xie Y; Xu Y; Zhou Z; Poultsides GA; Li G; Li R
    Lancet Digit Health; 2021 Jun; 3(6):e371-e382. PubMed ID: 34045003
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer.
    Sun Z; Zhang T; Ahmad MU; Zhou Z; Qiu L; Zhou K; Xiong W; Xie J; Zhang Z; Chen C; Yuan Q; Chen Y; Feng W; Xu Y; Yu L; Wang W; Yu J; Li G; Jiang Y
    J Clin Invest; 2024 Jan; 134(6):. PubMed ID: 38271117
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Complete Metabolic Response on Interim
    Chen S; Ibrahim NK; Yan Y; Wong ST; Wang H; Wong FC
    Oncologist; 2017 May; 22(5):526-534. PubMed ID: 28377466
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.