These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

448 related articles for article (PubMed ID: 33574448)

  • 1. 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]  

  • 2. 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]  

  • 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. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. The predictive value of CT-based radiomics in differentiating indolent from invasive lung adenocarcinoma in patients with pulmonary nodules.
    She Y; Zhang L; Zhu H; Dai C; Xie D; Xie H; Zhang W; Zhao L; Zou L; Fei K; Sun X; Chen C
    Eur Radiol; 2018 Dec; 28(12):5121-5128. PubMed ID: 29869172
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule.
    Fan L; Fang M; Li Z; Tu W; Wang S; Chen W; Tian J; Dong D; Liu S
    Eur Radiol; 2019 Feb; 29(2):889-897. PubMed ID: 29967956
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A delta-radiomics model for preoperative prediction of invasive lung adenocarcinomas manifesting as radiological part-solid nodules.
    Chen W; Wang R; Ma Z; Hua Y; Mao D; Wu H; Yang Y; Li C; Li M
    Front Oncol; 2022; 12():927974. PubMed ID: 36465372
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma
    Shi L; Shi W; Peng X; Zhan Y; Zhou L; Wang Y; Feng M; Zhao J; Shan F; Liu L
    Front Oncol; 2021; 11():618677. PubMed ID: 33968722
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A nomogram for predicting invasiveness of lung adenocarcinoma manifesting as pure ground-glass nodules: incorporating subjective CT signs and histogram parameters based on artificial intelligence.
    Gao R; Gao Y; Zhang J; Zhu C; Zhang Y; Yan C
    J Cancer Res Clin Oncol; 2023 Nov; 149(17):15323-15333. PubMed ID: 37624396
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. Application of computed tomography-based radiomics analysis combined with lung cancer serum tumor markers in the identification of lung squamous cell carcinoma and lung adenocarcinoma.
    Zhang T; Li J; Wang G; Li H; Song G; Deng K
    J Cancer Res Ther; 2024 Aug; 20(4):1186-1194. PubMed ID: 39206980
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas.
    Das SK; Fang KW; Xu L; Li B; Zhang X; Yang HF
    Sci Rep; 2021 May; 11(1):10829. PubMed ID: 34031529
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 23.