BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

174 related articles for article (PubMed ID: 37642725)

  • 1. Preoperative predicting invasiveness of lung adenocarcinoma manifesting as ground-glass nodules based on multimodal images of dual-layer spectral detector CT radiomics models.
    Chang Y; Xing H; Shang Y; Liu Y; Yu L; Dai H
    J Cancer Res Clin Oncol; 2023 Nov; 149(17):15425-15438. PubMed ID: 37642725
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A semiautomated radiomics model based on multimodal dual-layer spectral CT for preoperative discrimination of the invasiveness of pulmonary ground-glass nodules.
    Wang Y; Chen H; Chen Y; Zhong Z; Huang H; Sun P; Zhang X; Wan Y; Li L; Ye T; Pan F; Yang L
    J Thorac Dis; 2023 May; 15(5):2505-2516. PubMed ID: 37324063
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Marginal radiomics features as imaging biomarkers for pathological invasion in lung adenocarcinoma.
    Cho HH; Lee G; Lee HY; Park H
    Eur Radiol; 2020 May; 30(5):2984-2994. PubMed ID: 31965255
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A nomogram based on the quantitative and qualitative features of CT imaging for the prediction of the invasiveness of ground glass nodules in lung adenocarcinoma.
    Yang Y; Xu J; Wang W; Ma M; Huang Q; Zhou C; Zhao J; Duan Y; Luo J; Jiang J; Ye L
    BMC Cancer; 2024 Apr; 24(1):438. PubMed ID: 38594670
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis.
    Yu Z; Xu C; Zhang Y; Ji F
    BMC Med Imaging; 2022 Jul; 22(1):133. PubMed ID: 35896975
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. A comparative study for the evaluation of CT-based conventional, radiomic, combined conventional and radiomic, and delta-radiomic features, and the prediction of the invasiveness of lung adenocarcinoma manifesting as ground-glass nodules.
    Lv Y; Ye J; Yin YL; Ling J; Pan XP
    Clin Radiol; 2022 Oct; 77(10):e741-e748. PubMed ID: 35840455
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. A computerized tomography-based radiomic model for assessing the invasiveness of lung adenocarcinoma manifesting as ground-glass opacity nodules.
    Zhu M; Yang Z; Wang M; Zhao W; Zhu Q; Shi W; Yu H; Liang Z; Chen L
    Respir Res; 2022 Apr; 23(1):96. PubMed ID: 35429974
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Association between quantitative spectral CT parameters, Ki-67 expression, and invasiveness in lung adenocarcinoma manifesting as ground-glass nodules.
    Wu N; Cao QW; Wang CN; Hu HG; Shi H; Deng K
    Acta Radiol; 2023 Apr; 64(4):1400-1409. PubMed ID: 36131377
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of the Invasiveness of Ground-Glass Nodules in Lung Adenocarcinoma by Radiomics Analysis Using High-Resolution Computed Tomography Imaging.
    Zhang T; Li X; Liu J
    Cancer Control; 2022; 29():10732748221089408. PubMed ID: 35848489
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Establishment of a Predictive Model for Surgical Resection of Ground-Glass Nodules.
    Liu CL; Zhang F; Cai Q; Shen YY; Chen SQ
    J Am Coll Radiol; 2019 Apr; 16(4 Pt A):435-445. PubMed ID: 30466899
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fusion of CT images and clinical variables based on deep learning for predicting invasiveness risk of stage I lung adenocarcinoma.
    Huang H; Zheng D; Chen H; Wang Y; Chen C; Xu L; Li G; Wang Y; He X; Li W
    Med Phys; 2022 Oct; 49(10):6384-6394. PubMed ID: 35938604
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A radiomics study to predict invasive pulmonary adenocarcinoma appearing as pure ground-glass nodules.
    Cai J; Liu H; Yuan H; Wu Y; Xu Q; Lv Y; Li J; Fu J; Ye J
    Clin Radiol; 2021 Feb; 76(2):143-151. PubMed ID: 33187676
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study.
    Wu G; Woodruff HC; Shen J; Refaee T; Sanduleanu S; Ibrahim A; Leijenaar RTH; Wang R; Xiong J; Bian J; Wu J; Lambin P
    Radiology; 2020 Nov; 297(2):451-458. PubMed ID: 32840472
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules.
    Meng F; Guo Y; Li M; Lu X; Wang S; Zhang L; Zhang H
    Transl Oncol; 2021 Jan; 14(1):100936. PubMed ID: 33221688
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A comparative study to evaluate CT-based semantic and radiomic features in preoperative diagnosis of invasive pulmonary adenocarcinomas manifesting as subsolid nodules.
    Wu YJ; Liu YC; Liao CY; Tang EK; Wu FZ
    Sci Rep; 2021 Jan; 11(1):66. PubMed ID: 33462251
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomic signature based on CT imaging to distinguish invasive adenocarcinoma from minimally invasive adenocarcinoma in pure ground-glass nodules with pleural contact.
    Jiang Y; Che S; Ma S; Liu X; Guo Y; Liu A; Li G; Li Z
    Cancer Imaging; 2021 Jan; 21(1):1. PubMed ID: 33407884
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.