BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

178 related articles for article (PubMed ID: 37957504)

  • 1. CT-Based Deep-Learning Model for Spread-Through-Air-Spaces Prediction in Ground Glass-Predominant Lung Adenocarcinoma.
    Lin MW; Chen LW; Yang SM; Hsieh MS; Ou DX; Lee YH; Chen JS; Chang YC; Chen CM
    Ann Surg Oncol; 2024 Mar; 31(3):1536-1545. PubMed ID: 37957504
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Construction of Pulmonary Nodule CT Radiomics Random Forest Model Based on Artificial Intelligence Software for STAS Evaluation of Stage IA Lung Adenocarcinoma.
    Liu Q; Qi W; Wu Y; Zhou Y; Huang Z
    Comput Math Methods Med; 2022; 2022():2173412. PubMed ID: 36072773
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computed Tomography Radiomics for Preoperative Prediction of Spread Through Air Spaces in the Early Stage of Surgically Resected Lung Adenocarcinomas.
    Suh YJ; Han K; Kwon Y; Kim H; Lee S; Hwang SH; Kim MH; Shin HJ; Lee CY; Shim HS
    Yonsei Med J; 2024 Mar; 65(3):163-173. PubMed ID: 38373836
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Stepwise flowchart for decision making on sublobar resection through the estimation of spread through air space in early stage lung cancer
    Suh JW; Jeong YH; Cho A; Kim DJ; Chung KY; Shim HS; Lee CY
    Lung Cancer; 2020 Apr; 142():28-33. PubMed ID: 32065918
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics-based prediction for tumour spread through air spaces in stage I lung adenocarcinoma using machine learning.
    Chen D; She Y; Wang T; Xie H; Li J; Jiang G; Chen Y; Zhang L; Xie D; Chen C
    Eur J Cardiothorac Surg; 2020 Jul; 58(1):51-58. PubMed ID: 32011674
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Peritumoral radiomics features on preoperative thin-slice CT images can predict the spread through air spaces of lung adenocarcinoma.
    Takehana K; Sakamoto R; Fujimoto K; Matsuo Y; Nakajima N; Yoshizawa A; Menju T; Nakamura M; Yamada R; Mizowaki T; Nakamoto Y
    Sci Rep; 2022 Jun; 12(1):10323. PubMed ID: 35725754
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Meta-analysis of association between CT-based features and tumor spread through air spaces in lung adenocarcinoma.
    Yin Q; Wang H; Cui H; Wang W; Yang G; Qie P; Xun X; Han S; Liu H
    J Cardiothorac Surg; 2020 Sep; 15(1):243. PubMed ID: 32912289
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prognostic significance of tumor spread through air spaces in patients with stage IA part-solid lung adenocarcinoma after sublobar resection.
    Chae M; Jeon JH; Chung JH; Lee SY; Hwang WJ; Jung W; Hwang Y; Cho S; Kim K; Jheon S
    Lung Cancer; 2021 Feb; 152():21-26. PubMed ID: 33338924
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computed tomography features of resected lung adenocarcinomas with spread through air spaces.
    Toyokawa G; Yamada Y; Tagawa T; Kamitani T; Yamasaki Y; Shimokawa M; Oda Y; Maehara Y
    J Thorac Cardiovasc Surg; 2018 Oct; 156(4):1670-1676.e4. PubMed ID: 29961590
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and validation of a CT-based nomogram to predict spread through air space (STAS) in peripheral stage IA lung adenocarcinoma.
    Chen Y; Jiang C; Kang W; Gong J; Luo D; You S; Cheng Z; Luo Y; Wu K
    Jpn J Radiol; 2022 Jun; 40(6):586-594. PubMed ID: 35079955
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography.
    Chen LW; Yang SM; Chuang CC; Wang HJ; Chen YC; Lin MW; Hsieh MS; Antonoff MB; Chang YC; Wu CC; Pan T; Chen CM
    Ann Surg Oncol; 2022 Nov; 29(12):7473-7482. PubMed ID: 35789301
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Novel imprint cytological classification is correlated with tumor spread through air spaces in lung adenocarcinoma.
    Kimura T; Nakamura H; Omura A; Ike A; Hiroshima T; Maniwa T; Honma K; Higashiyama M; Okami J
    Lung Cancer; 2020 Oct; 148():62-68. PubMed ID: 32818696
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and validation of a clinic-radiological model to predict tumor spread through air spaces in stage I lung adenocarcinoma.
    Gao Z; An P; Li R; Wu F; Sun Y; Wu J; Yang G; Wang Z
    Cancer Imaging; 2024 Feb; 24(1):25. PubMed ID: 38336821
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mean computed tomography value to predict spread through air spaces in clinical N0 lung adenocarcinoma.
    Yamamoto M; Tamura M; Miyazaki R; Okada H; Wada N; Toi M; Murakami I
    J Cardiothorac Surg; 2024 Apr; 19(1):260. PubMed ID: 38654352
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomic Values from High-Grade Subtypes to Predict Spread Through Air Spaces in Lung Adenocarcinoma.
    Chen LW; Lin MW; Hsieh MS; Yang SM; Wang HJ; Chen YC; Chen HY; Hu YH; Lee CE; Chen JS; Chang YC; Chen CM
    Ann Thorac Surg; 2022 Sep; 114(3):999-1006. PubMed ID: 34454902
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Does dual-layer spectral detector CT provide added value in predicting spread through air spaces in lung adenocarcinoma? A preliminary study.
    Liu BC; Ma HY; Huang J; Luo YW; Zhang WB; Deng WW; Liao YT; Xie CM; Li Q
    Eur Radiol; 2024 Jun; 34(6):4176-4186. PubMed ID: 37973632
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The significance of spread through air spaces in the prognostic assessment model of stage I lung adenocarcinoma and the exploration of its invasion mechanism.
    Niu Y; Han X; Zeng Y; Nanding A; Bai Q; Guo S; Hou Y; Yu Y; Zhang Q; Li X
    J Cancer Res Clin Oncol; 2023 Aug; 149(10):7125-7138. PubMed ID: 36881149
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spread through air spaces is a powerful prognostic predictor in patients with completely resected pathological stage I lung adenocarcinoma.
    Shimomura M; Miyagawa-Hayashino A; Omatsu I; Asai Y; Ishihara S; Okada S; Konishi E; Teramukai S; Inoue M
    Lung Cancer; 2022 Dec; 174():165-171. PubMed ID: 36413883
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study.
    Wang Y; Ding Y; Liu X; Li X; Jia X; Li J; Zhang H; Song Z; Xu M; Ren J; Sun D
    Cancer Imaging; 2023 Sep; 23(1):83. PubMed ID: 37679806
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.