BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

259 related articles for article (PubMed ID: 36567145)

  • 1. A CT-Based Radiomics Nomogram Combined with Clinic-Radiological Characteristics for Preoperative Prediction of the Novel IASLC Grading of Invasive Pulmonary Adenocarcinoma.
    Yang Z; Cai Y; Chen Y; Ai Z; Chen F; Wang H; Han Q; Feng Q; Xiang Z
    Acad Radiol; 2023 Sep; 30(9):1946-1961. PubMed ID: 36567145
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and validation of a preoperative CT‑based radiomics nomogram to differentiate tuberculosis granulomas from lung adenocarcinomas: an external validation study.
    Yang L; Jiang Z; Tong J; Li N; Dong Q; Wang K
    BMC Cancer; 2024 Jun; 24(1):670. PubMed ID: 38824514
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
    Sun Y; Li C; Jin L; Gao P; Zhao W; Ma W; Tan M; Wu W; Duan S; Shan Y; Li M
    Eur Radiol; 2020 Jul; 30(7):3650-3659. PubMed ID: 32162003
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules.
    Chen X; Feng B; Chen Y; Liu K; Li K; Duan X; Hao Y; Cui E; Liu Z; Zhang C; Long W; Liu X
    Cancer Imaging; 2020 Jul; 20(1):45. PubMed ID: 32641166
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and validation of a radiomics nomogram for identifying invasiveness of pulmonary adenocarcinomas appearing as subcentimeter ground-glass opacity nodules.
    Zhao W; Xu Y; Yang Z; Sun Y; Li C; Jin L; Gao P; He W; Wang P; Shi H; Hua Y; Li M
    Eur J Radiol; 2019 Mar; 112():161-168. PubMed ID: 30777206
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning based on clinico-biological features integrated
    Ren C; Zhang J; Qi M; Zhang J; Zhang Y; Song S; Sun Y; Cheng J
    Eur J Nucl Med Mol Imaging; 2021 May; 48(5):1538-1549. PubMed ID: 33057772
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer.
    Ying M; Pan J; Lu G; Zhou S; Fu J; Wang Q; Wang L; Hu B; Wei Y; Shen J
    BMC Cancer; 2022 May; 22(1):524. PubMed ID: 35534797
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
    Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
    Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Differentiating minimally invasive and invasive adenocarcinomas in patients with solitary sub-solid pulmonary nodules with a radiomics nomogram.
    Feng B; Chen X; Chen Y; Li Z; Hao Y; Zhang C; Li R; Liao Y; Zhang X; Huang Y; Long W
    Clin Radiol; 2019 Jul; 74(7):570.e1-570.e11. PubMed ID: 31056198
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
    Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
    Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma.
    Wang Y; Lyu D; Hu S; Ma Y; Duan S; Geng Y; Zhou T; Tu W; Xiao Y; Fan L; Liu S
    J Cardiothorac Surg; 2024 May; 19(1):307. PubMed ID: 38822379
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A combination of radiomic features, clinic characteristics, and serum tumor biomarkers to predict the possibility of the micropapillary/solid component of lung adenocarcinoma.
    Xing X; Li L; Sun M; Zhu X; Feng Y
    Ther Adv Respir Dis; 2024; 18():17534666241249168. PubMed ID: 38757628
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A CT-Based Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperatively Predicting WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma.
    Xv Y; Lv F; Guo H; Liu Z; Luo D; Liu J; Gou X; He W; Xiao M; Zheng Y
    Front Oncol; 2021; 11():712554. PubMed ID: 34926241
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma.
    Tong Y; Li J; Chen J; Hu C; Xu Z; Duan S; Wang X; Yu R; Cheng X
    Front Oncol; 2022; 12():865548. PubMed ID: 35912185
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma.
    Chang C; Zhou S; Yu H; Zhao W; Ge Y; Duan S; Wang R; Qian X; Lei B; Wang L; Liu L; Ruan M; Yan H; Sun X; Xie W
    Eur Radiol; 2021 Aug; 31(8):6259-6268. PubMed ID: 33544167
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram.
    Zhang R; Jia S; Zhai L; Wu F; Zhang S; Li F
    BMC Med Imaging; 2024 Apr; 24(1):98. PubMed ID: 38678222
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Preoperative Ki-67 proliferation index prediction with a radiomics nomogram in stage T1a-b lung adenocarcinoma.
    Bao J; Liu Y; Ping X; Zha X; Hu S; Hu C
    Eur J Radiol; 2022 Oct; 155():110437. PubMed ID: 35952476
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Radiomics signature on CECT as a predictive factor for invasiveness of lung adenocarcinoma manifesting as subcentimeter ground glass nodules.
    Chen W; Li M; Mao D; Ge X; Wang J; Tan M; Ma W; Huang X; Lu J; Li C; Hua Y; Wu H
    Sci Rep; 2021 Feb; 11(1):3633. PubMed ID: 33574448
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development of a CT radiomics nomogram for preoperative prediction of Ki-67 index in pancreatic ductal adenocarcinoma: a two-center retrospective study.
    Li Q; Song Z; Li X; Zhang D; Yu J; Li Z; Huang J; Su K; Liu Q; Zhang X; Tang Z
    Eur Radiol; 2024 May; 34(5):2934-2943. PubMed ID: 37938382
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Preoperative prediction of vasculogenic mimicry in lung adenocarcinoma using a CT radiomics model.
    Li S; Yang Z; Li Y; Zhao N; Yang Y; Zhang S; Jiang M; Wang J; Sun H; Xie Z
    Clin Radiol; 2024 Jan; 79(1):e164-e173. PubMed ID: 37940444
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.