BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

231 related articles for article (PubMed ID: 36115683)

  • 1. 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]  

  • 2. 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]  

  • 3. Identifying EGFR mutations in lung adenocarcinoma by noninvasive imaging using radiomics features and random forest modeling.
    Jia TY; Xiong JF; Li XY; Yu W; Xu ZY; Cai XW; Ma JC; Ren YC; Larsson R; Zhang J; Zhao J; Fu XL
    Eur Radiol; 2019 Sep; 29(9):4742-4750. PubMed ID: 30778717
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computed Tomography-Based Radiomics Signature: A Potential Indicator of Epidermal Growth Factor Receptor Mutation in Pulmonary Adenocarcinoma Appearing as a Subsolid Nodule.
    Yang X; Dong X; Wang J; Li W; Gu Z; Gao D; Zhong N; Guan Y
    Oncologist; 2019 Nov; 24(11):e1156-e1164. PubMed ID: 30936378
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma.
    Choe J; Lee SM; Kim W; Do KH; Kim S; Choi S; Seo JB
    Eur J Radiol; 2021 Jun; 139():109710. PubMed ID: 33862316
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Accurate prediction of epidermal growth factor receptor mutation status in early-stage lung adenocarcinoma, using radiomics and clinical features.
    Zhu H; Song Y; Huang Z; Zhang L; Chen Y; Tao G; She Y; Sun X; Yu H
    Asia Pac J Clin Oncol; 2022 Dec; 18(6):586-594. PubMed ID: 35098682
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Predicting EGFR mutation status in lung adenocarcinoma presenting as ground-glass opacity: utilizing radiomics model in clinical translation.
    Cheng B; Deng H; Zhao Y; Xiong J; Liang P; Li C; Liang H; Shi J; Li J; Xiong S; Lai T; Chen Z; Wu J; Qian T; Huan W; Ng MTA; He J; Liang W
    Eur Radiol; 2022 Sep; 32(9):5869-5879. PubMed ID: 35348863
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma.
    Chang C; Zhou S; Yu H; Zhao W; Ge Y; Duan S; Wang R; Qian X; Lei B; Wang L; Liu L; Ruan M; Yan H; Sun X; Xie W
    Eur Radiol; 2021 Aug; 31(8):6259-6268. PubMed ID: 33544167
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Application of radiomics captured from CT to predict the EGFR mutation status and TKIs therapeutic sensitivity of advanced lung adenocarcinoma].
    Yang CS; Chen WD; Gong GZ; Li ZJ; Qiu QT; Yin Y
    Zhonghua Zhong Liu Za Zhi; 2019 Apr; 41(4):282-287. PubMed ID: 31014053
    [No Abstract]   [Full Text] [Related]  

  • 11. Machine Learning-Based Radiomics for Prediction of Epidermal Growth Factor Receptor Mutations in Lung Adenocarcinoma.
    Lu J; Ji X; Wang L; Jiang Y; Liu X; Ma Z; Ning Y; Dong J; Peng H; Sun F; Guo Z; Ji Y; Xing J; Lu Y; Lu D
    Dis Markers; 2022; 2022():2056837. PubMed ID: 35578691
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Intratumoral and peritumoral CT-based radiomics strategy reveals distinct subtypes of non-small-cell lung cancer.
    Tang X; Huang H; Du P; Wang L; Yin H; Xu X
    J Cancer Res Clin Oncol; 2022 Sep; 148(9):2247-2260. PubMed ID: 35430688
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Distinguishing EGFR mutation molecular subtypes based on MRI radiomics features of lung adenocarcinoma brain metastases.
    Xu J; Yang Y; Gao Z; Song T; Ma Y; Yu X; Shi C
    Clin Neurol Neurosurg; 2024 May; 240():108258. PubMed ID: 38552362
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma.
    Wang Y; Lyu D; Hu S; Ma Y; Duan S; Geng Y; Zhou T; Tu W; Xiao Y; Fan L; Liu S
    J Cardiothorac Surg; 2024 May; 19(1):307. PubMed ID: 38822379
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Detailed identification of epidermal growth factor receptor mutations in lung adenocarcinoma: Combining radiomics with machine learning.
    Li S; Luo T; Ding C; Huang Q; Guan Z; Zhang H
    Med Phys; 2020 Aug; 47(8):3458-3466. PubMed ID: 32416013
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CT features associated with EGFR mutations and ALK positivity in patients with multiple primary lung adenocarcinomas.
    Han X; Fan J; Gu J; Li Y; Yang M; Liu T; Li N; Zeng W; Shi H
    Cancer Imaging; 2020 Jul; 20(1):51. PubMed ID: 32690092
    [TBL] [Abstract][Full Text] [Related]  

  • 19. CT texture analysis of lung adenocarcinoma: can Radiomic features be surrogate biomarkers for EGFR mutation statuses.
    Mei D; Luo Y; Wang Y; Gong J
    Cancer Imaging; 2018 Dec; 18(1):52. PubMed ID: 30547844
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Can CT radiomic analysis in NSCLC predict histology and EGFR mutation status?
    Digumarthy SR; Padole AM; Gullo RL; Sequist LV; Kalra MK
    Medicine (Baltimore); 2019 Jan; 98(1):e13963. PubMed ID: 30608433
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.