BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 37291251)

  • 21. MRI-based radiomics analysis for predicting the EGFR mutation based on thoracic spinal metastases in lung adenocarcinoma patients.
    Ren M; Yang H; Lai Q; Shi D; Liu G; Shuang X; Su J; Xie L; Dong Y; Jiang X
    Med Phys; 2021 Sep; 48(9):5142-5151. PubMed ID: 34318502
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Development and externally validate MRI-based nomogram to assess EGFR and T790M mutations in patients with metastatic lung adenocarcinoma.
    Fan Y; Dong Y; Wang H; Wang H; Sun X; Wang X; Zhao P; Luo Y; Jiang X
    Eur Radiol; 2022 Oct; 32(10):6739-6751. PubMed ID: 35729427
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Computer-aided diagnosis of ground glass pulmonary nodule by fusing deep learning and radiomics features.
    Hu X; Gong J; Zhou W; Li H; Wang S; Wei M; Peng W; Gu Y
    Phys Med Biol; 2021 Mar; 66(6):065015. PubMed ID: 33596552
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. A radiomics nomogram for invasiveness prediction in lung adenocarcinoma manifesting as part-solid nodules with solid components smaller than 6 mm.
    Zhang T; Zhang C; Zhong Y; Sun Y; Wang H; Li H; Yang G; Zhu Q; Yuan M
    Front Oncol; 2022; 12():900049. PubMed ID: 36033463
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Computed tomography-based 3D convolutional neural network deep learning model for predicting micropapillary or solid growth pattern of invasive lung adenocarcinoma.
    Huo J; Min X; Luo T; Lv F; Feng Y; Fan Q; Wang D; Ma D; Li Q
    Radiol Med; 2024 May; 129(5):776-784. PubMed ID: 38512613
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes.
    Chen X; Feng B; Xu K; Chen Y; Duan X; Jin Z; Li K; Li R; Long W; Liu X
    Eur Radiol; 2023 Oct; 33(10):6804-6816. PubMed ID: 37148352
    [TBL] [Abstract][Full Text] [Related]  

  • 29. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.
    Jiang C; Luo Y; Yuan J; You S; Chen Z; Wu M; Wang G; Gong J
    Eur Radiol; 2020 Jul; 30(7):4050-4057. PubMed ID: 32112116
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Ultrasound images-based deep learning radiomics nomogram for preoperative prediction of
    Yu J; Zhang Y; Zheng J; Jia M; Lu X
    Front Endocrinol (Lausanne); 2022; 13():1062571. PubMed ID: 36605945
    [TBL] [Abstract][Full Text] [Related]  

  • 32. An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.
    Hiremath A; Shiradkar R; Fu P; Mahran A; Rastinehad AR; Tewari A; Tirumani SH; Purysko A; Ponsky L; Madabhushi A
    Lancet Digit Health; 2021 Jul; 3(7):e445-e454. PubMed ID: 34167765
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparison of the radiomics-based predictive models using machine learning and nomogram for epidermal growth factor receptor mutation status and subtypes in lung adenocarcinoma.
    Kawazoe Y; Shiinoki T; Fujimoto K; Yuasa Y; Hirano T; Matsunaga K; Tanaka H
    Phys Eng Sci Med; 2023 Mar; 46(1):395-403. PubMed ID: 36787023
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study.
    Wu G; Woodruff HC; Sanduleanu S; Refaee T; Jochems A; Leijenaar R; Gietema H; Shen J; Wang R; Xiong J; Bian J; Wu J; Lambin P
    Eur Radiol; 2020 May; 30(5):2680-2691. PubMed ID: 32006165
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. A comparison of 18 F-FDG PET-based radiomics and deep learning in predicting regional lymph node metastasis in patients with resectable lung adenocarcinoma: a cross-scanner and temporal validation study.
    Lue KH; Chen YH; Chu SC; Chang BS; Lin CB; Chen YC; Lin HH; Liu SH
    Nucl Med Commun; 2023 Dec; 44(12):1094-1105. PubMed ID: 37728592
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A contrast-enhanced MRI-based nomogram to identify lung metastasis in soft-tissue sarcoma: A multi-centre study.
    Hu Y; Wang H; Yue Z; Wang X; Wang Y; Luo Y; Jiang W
    Med Phys; 2023 May; 50(5):2961-2970. PubMed ID: 36433749
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Enhanced CT-Based Radiomics to Predict Micropapillary Pattern Within Lung Invasive Adenocarcinoma.
    Xu Y; Ji W; Hou L; Lin S; Shi Y; Zhou C; Meng Y; Wang W; Chen X; Wang M; Yang H
    Front Oncol; 2021; 11():704994. PubMed ID: 34513686
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.
    Lin M; Lin N; Yu S; Sha Y; Zeng Y; Liu A; Niu Y
    Acad Radiol; 2023 Oct; 30(10):2201-2211. PubMed ID: 36925335
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.