BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

188 related articles for article (PubMed ID: 35880159)

  • 1. The Value of CT-Based Radiomics for Predicting Spread Through Air Spaces in Stage IA Lung Adenocarcinoma.
    Han X; Fan J; Zheng Y; Ding C; Zhang X; Zhang K; Wang N; Jia X; Li Y; Liu J; Zheng J; Shi H
    Front Oncol; 2022; 12():757389. PubMed ID: 35880159
    [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. Dual-energy CT-based radiomics for predicting invasiveness of lung adenocarcinoma appearing as ground-glass nodules.
    Zheng Y; Han X; Jia X; Ding C; Zhang K; Li H; Cao X; Zhang X; Zhang X; Shi H
    Front Oncol; 2023; 13():1208758. PubMed ID: 37637058
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Value of radiomics in differentiating synchronous double primary lung adenocarcinomas from intrapulmonary metastasis.
    Han X; Fan J; Zheng Y; Wu Y; Alwalid O; Ding C; Jia X; Li H; Zhang X; Zhang K; Li Y; Liu J; Guo T; Ren H; Shi H
    J Thorac Dis; 2023 Jul; 15(7):3685-3698. PubMed ID: 37559630
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Radiomics nomograms of tumors and peritumoral regions for the preoperative prediction of spread through air spaces in lung adenocarcinoma.
    Zhuo Y; Feng M; Yang S; Zhou L; Ge D; Lu S; Liu L; Shan F; Zhang Z
    Transl Oncol; 2020 Oct; 13(10):100820. PubMed ID: 32622312
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrating IASLC grading and radiomics for predicting postoperative outcomes in stage IA invasive lung adenocarcinoma.
    Chen Y; Wu J; You J; Gao M; Lu S; Sun C; Shu Y; Wang X
    Med Phys; 2024 May; ():. PubMed ID: 38781536
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. CT-based radiomics model to predict spread through air space in resectable lung cancer.
    Gong J; Yin R; Sun L; Gao N; Wang X; Zhang L; Zhang Z
    Cancer Med; 2023 Sep; 12(18):18755-18766. PubMed ID: 37676092
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. Value of
    Shao X; Niu R; Shao X; Jiang Z; Wang Y
    EJNMMI Res; 2020 Jul; 10(1):80. PubMed ID: 32661639
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Imbalanced Data Correction Based PET/CT Radiomics Model for Predicting Lymph Node Metastasis in Clinical Stage T1 Lung Adenocarcinoma.
    Lv J; Chen X; Liu X; Du D; Lv W; Lu L; Wu H
    Front Oncol; 2022; 12():788968. PubMed ID: 35155231
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A comparison of machine learning methods for radiomics modeling in prediction of occult lymph node metastasis in clinical stage IA lung adenocarcinoma patients.
    Liu MW; Zhang X; Wang YM; Jiang X; Jiang JM; Li M; Zhang L
    J Thorac Dis; 2024 Mar; 16(3):1765-1776. PubMed ID: 38617761
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.