BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 34453574)

  • 1. Improving the accuracy of prognosis for clinical stage I solid lung adenocarcinoma by radiomics models covering tumor per se and peritumoral changes on CT.
    Liu K; Li K; Wu T; Liang M; Zhong Y; Yu X; Li X; Xie C; Zhang L; Liu X
    Eur Radiol; 2022 Feb; 32(2):1065-1077. PubMed ID: 34453574
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?
    Wang X; Zhao X; Li Q; Xia W; Peng Z; Zhang R; Li Q; Jian J; Wang W; Tang Y; Liu S; Gao X
    Eur Radiol; 2019 Nov; 29(11):6049-6058. PubMed ID: 30887209
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma.
    Shang Y; Chen W; Li G; Huang Y; Wang Y; Kui X; Li M; Zheng H; Zhao W; Liu J
    Radiol Med; 2023 Dec; 128(12):1483-1496. PubMed ID: 37749461
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Can Peritumoral Radiomics Improve the Prediction of Malignancy of Solid Pulmonary Nodule Smaller Than 2 cm?
    Wu S; Zhang N; Wu Z; Ren J; E L
    Acad Radiol; 2022 Feb; 29 Suppl 2():S47-S52. PubMed ID: 33189549
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An individualised radiomics composite model predicting prognosis of stage 1 solid lung adenocarcinoma.
    Chen H; Liang M; Li X; Wu T; Zhang L; Liu X
    Clin Radiol; 2020 Jul; 75(7):562.e11-562.e19. PubMed ID: 32307110
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study.
    Wu G; Woodruff HC; Sanduleanu S; Refaee T; Jochems A; Leijenaar R; Gietema H; Shen J; Wang R; Xiong J; Bian J; Wu J; Lambin P
    Eur Radiol; 2020 May; 30(5):2680-2691. PubMed ID: 32006165
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Prognostic analysis and risk stratification of lung adenocarcinoma undergoing EGFR-TKI therapy with time-serial CT-based radiomics signature.
    Zhang X; Lu B; Yang X; Lan D; Lin S; Zhou Z; Li K; Deng D; Peng P; Zeng Z; Long L
    Eur Radiol; 2023 Feb; 33(2):825-835. PubMed ID: 36166088
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dosimetric Factors and Radiomics Features Within Different Regions of Interest in Planning CT Images for Improving the Prediction of Radiation Pneumonitis.
    Jiang W; Song Y; Sun Z; Qiu J; Shi L
    Int J Radiat Oncol Biol Phys; 2021 Jul; 110(4):1161-1170. PubMed ID: 33548340
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Role of intratumoral and peritumoral CT radiomics for the prediction of EGFR gene mutation in primary lung cancer.
    Yamazaki M; Yagi T; Tominaga M; Minato K; Ishikawa H
    Br J Radiol; 2022 Dec; 95(1140):20220374. PubMed ID: 36115683
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The value of intratumoral and peritumoral radiomics features in differentiating early-stage lung invasive adenocarcinoma (≤3 cm) subtypes.
    Zhou T; Yang M; Xiong W; Zhu F; Li Q; Zhao L; Zhao Z
    Transl Cancer Res; 2024 Jan; 13(1):202-216. PubMed ID: 38410219
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Outcome prediction in resectable lung adenocarcinoma patients: value of CT radiomics.
    Choe J; Lee SM; Do KH; Kim S; Choi S; Lee JG; Seo JB
    Eur Radiol; 2020 Sep; 30(9):4952-4963. PubMed ID: 32356158
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule.
    Feng B; Chen X; Chen Y; Liu K; Li K; Liu X; Yao N; Li Z; Li R; Zhang C; Ji J; Long W
    Eur J Radiol; 2020 Jul; 128():109022. PubMed ID: 32371184
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. CT-based peritumoral radiomics signatures for malignancy grading of clear cell renal cell carcinoma.
    Zhou Z; Qian X; Hu J; Ma X; Zhou S; Dai Y; Zhu J
    Abdom Radiol (NY); 2021 Jun; 46(6):2690-2698. PubMed ID: 33427908
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.