BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

609 related articles for article (PubMed ID: 29450713)

  • 1. Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer.
    Zhu X; Dong D; Chen Z; Fang M; Zhang L; Song J; Yu D; Zang Y; Liu Z; Shi J; Tian J
    Eur Radiol; 2018 Jul; 28(7):2772-2778. PubMed ID: 29450713
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics for Classification of Lung Cancer Histological Subtypes Based on Nonenhanced Computed Tomography.
    E L; Lu L; Li L; Yang H; Schwartz LH; Zhao B
    Acad Radiol; 2019 Sep; 26(9):1245-1252. PubMed ID: 30502076
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine learning based on clinico-biological features integrated
    Ren C; Zhang J; Qi M; Zhang J; Zhang Y; Song S; Sun Y; Cheng J
    Eur J Nucl Med Mol Imaging; 2021 May; 48(5):1538-1549. PubMed ID: 33057772
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging.
    Sha X; Gong G; Qiu Q; Duan J; Li D; Yin Y
    BMC Med Imaging; 2020 Feb; 20(1):12. PubMed ID: 32024469
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Comparison of a radiomic biomarker with volumetric analysis for decoding tumour phenotypes of lung adenocarcinoma with different disease-specific survival.
    Yuan M; Zhang YD; Pu XH; Zhong Y; Li H; Wu JF; Yu TF
    Eur Radiol; 2017 Nov; 27(11):4857-4865. PubMed ID: 28523350
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.
    Coroller TP; Agrawal V; Huynh E; Narayan V; Lee SW; Mak RH; Aerts HJWL
    J Thorac Oncol; 2017 Mar; 12(3):467-476. PubMed ID: 27903462
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis.
    Haga A; Takahashi W; Aoki S; Nawa K; Yamashita H; Abe O; Nakagawa K
    Radiol Phys Technol; 2018 Mar; 11(1):27-35. PubMed ID: 29209915
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Stage-Specific PET Radiomic Prediction Model for the Histological Subtype Classification of Non-Small-Cell Lung Cancer.
    Ji Y; Qiu Q; Fu J; Cui K; Chen X; Xing L; Sun X
    Cancer Manag Res; 2021; 13():307-317. PubMed ID: 33469373
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Radiomics Signature in Preoperative Predicting Degree of Tumor Differentiation in Patients with Non-small Cell Lung Cancer.
    Chen X; Fang M; Dong D; Wei X; Liu L; Xu X; Jiang X; Tian J; Liu Z
    Acad Radiol; 2018 Dec; 25(12):1548-1555. PubMed ID: 29572049
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel radiomic nomogram for predicting epidermal growth factor receptor mutation in peripheral lung adenocarcinoma.
    Lu X; Li M; Zhang H; Hua S; Meng F; Yang H; Li X; Cao D
    Phys Med Biol; 2020 Mar; 65(5):055012. PubMed ID: 31978901
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of Histological Types and Stages in Non-small Cell Lung Cancer Using Radiomic Features Based on CT Images.
    Lin J; Yu Y; Zhang X; Wang Z; Li S
    J Digit Imaging; 2023 Jun; 36(3):1029-1037. PubMed ID: 36828962
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Non-invasive classification of non-small cell lung cancer: a comparison between random forest models utilising radiomic and semantic features.
    Bashir U; Kawa B; Siddique M; Mak SM; Nair A; Mclean E; Bille A; Goh V; Cook G
    Br J Radiol; 2019 Jul; 92(1099):20190159. PubMed ID: 31166787
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Histologic subtype classification of non-small cell lung cancer using PET/CT images.
    Han Y; Ma Y; Wu Z; Zhang F; Zheng D; Liu X; Tao L; Liang Z; Yang Z; Li X; Huang J; Guo X
    Eur J Nucl Med Mol Imaging; 2021 Feb; 48(2):350-360. PubMed ID: 32776232
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features.
    Sun Z; Hu S; Ge Y; Wang J; Duan S; Song J; Hu C; Li Y
    J Xray Sci Technol; 2020; 28(3):449-459. PubMed ID: 32176676
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.
    Hyun SH; Ahn MS; Koh YW; Lee SJ
    Clin Nucl Med; 2019 Dec; 44(12):956-960. PubMed ID: 31689276
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning for differentiating lung squamous cell cancer from adenocarcinoma using Clinical-Metabolic characteristics and 18F-FDG PET/CT radiomics.
    Zhang Y; Liu H; Chang C; Yin Y; Wang R
    PLoS One; 2024; 19(4):e0300170. PubMed ID: 38568892
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
    Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
    Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrating Imaging, Histologic, and Genetic Features to Predict Tumor Mutation Burden of Non-Small-Cell Lung Cancer.
    Zhang N; Wu J; Yu J; Zhu H; Yang M; Li R
    Clin Lung Cancer; 2020 May; 21(3):e151-e163. PubMed ID: 31734072
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Intra-tumoural heterogeneity characterization through texture and colour analysis for differentiation of non-small cell lung carcinoma subtypes.
    Ma Y; Feng W; Wu Z; Liu M; Zhang F; Liang Z; Cui C; Huang J; Li X; Guo X
    Phys Med Biol; 2018 Aug; 63(16):165018. PubMed ID: 30051884
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 31.