BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 38402088)

  • 1. Re: peritumoural MRI radiomics signature of brain metastases can predict epidermal growth factor receptor mutation status in lung adenocarcinoma.
    Wang G; He H
    Clin Radiol; 2024 May; 79(5):e784. PubMed ID: 38402088
    [No Abstract]   [Full Text] [Related]  

  • 2. 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]  

  • 3. Clinical characteristics and MRI based radiomics nomograms can predict iPFS and short-term efficacy of third-generation EGFR-TKI in EGFR-mutated lung adenocarcinoma with brain metastases.
    Qi H; Hou Y; Zheng Z; Zheng M; Qiao Q; Wang Z; Sun X; Xing L
    BMC Cancer; 2024 Mar; 24(1):362. PubMed ID: 38515096
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MRI radiomics for predicting intracranial progression in non-small-cell lung cancer patients with brain metastases treated with epidermal growth factor receptor tyrosine kinase inhibitors.
    Qu J; Zhang T; Zhang X; Zhang W; Li Y; Gong Q; Yao L; Lui S
    Clin Radiol; 2024 Apr; 79(4):e582-e591. PubMed ID: 38310058
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Peritumoural MRI radiomics signature of brain metastases can predict epidermal growth factor receptor mutation status in lung adenocarcinoma.
    Huang Z; Tu X; Yu T; Zhan Z; Lin Q; Huang X
    Clin Radiol; 2024 Feb; 79(2):e305-e316. PubMed ID: 38000953
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MRI-Based Radiomics Nomogram as a Potential Biomarker to Predict the EGFR Mutations in Exon 19 and 21 Based on Thoracic Spinal Metastases in Lung Adenocarcinoma.
    Cao R; Dong Y; Wang X; Ren M; Wang X; Zhao N; Yu T; Zhang L; Luo Y; Cui EN; Jiang X
    Acad Radiol; 2022 Mar; 29(3):e9-e17. PubMed ID: 34332860
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Multiparametric MRI-Based Radiomics Approaches for Preoperative Prediction of EGFR Mutation Status in Spinal Bone Metastases in Patients with Lung Adenocarcinoma.
    Jiang X; Ren M; Shuang X; Yang H; Shi D; Lai Q; Dong Y
    J Magn Reson Imaging; 2021 Aug; 54(2):497-507. PubMed ID: 33638577
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics signature of brain metastasis: prediction of EGFR mutation status.
    Wang G; Wang B; Wang Z; Li W; Xiu J; Liu Z; Han M
    Eur Radiol; 2021 Jul; 31(7):4538-4547. PubMed ID: 33439315
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MRI-based radiomics analysis for predicting the EGFR mutation based on thoracic spinal metastases in lung adenocarcinoma patients.
    Ren M; Yang H; Lai Q; Shi D; Liu G; Shuang X; Su J; Xie L; Dong Y; Jiang X
    Med Phys; 2021 Sep; 48(9):5142-5151. PubMed ID: 34318502
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Computed tomography-based radiomics quantification predicts epidermal growth factor receptor mutation status and efficacy of first-line targeted therapy in lung adenocarcinoma.
    Jiang M; Yang P; Li J; Peng W; Pu X; Chen B; Li J; Wang J; Wu L
    Front Oncol; 2022; 12():985284. PubMed ID: 36052262
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Value of radiomics model based on multi-parametric magnetic resonance imaging in predicting epidermal growth factor receptor mutation status in patients with lung adenocarcinoma.
    Wang Y; Wan Q; Xia X; Hu J; Liao Y; Wang P; Peng Y; Liu H; Li X
    J Thorac Dis; 2021 Jun; 13(6):3497-3508. PubMed ID: 34277045
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Subregional radiomics analysis for the detection of the EGFR mutation on thoracic spinal metastases from lung cancer.
    Fan Y; Dong Y; Yang H; Chen H; Yu Y; Wang X; Wang X; Yu T; Luo Y; Jiang X
    Phys Med Biol; 2021 Oct; 66(21):. PubMed ID: 34633298
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development of a Nomogram Based on 3D CT Radiomics Signature to Predict the Mutation Status of EGFR Molecular Subtypes in Lung Adenocarcinoma: A Multicenter Study.
    Zhang G; Deng L; Zhang J; Cao Y; Li S; Ren J; Qian R; Peng S; Zhang X; Zhou J; Zhang Z; Kong W; Pu H
    Front Oncol; 2022; 12():889293. PubMed ID: 35574401
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of high-grade soft-tissue sarcoma using a combined intratumoural and peritumoural MRI-based radiomics nomogram.
    Dou Y; Li X; Tao J; Dong Y; Xu N; Wang S
    Clin Radiol; 2023 Dec; 78(12):e1032-e1040. PubMed ID: 37748959
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using Radiomics to Differentiate Brain Metastases From Lung Cancer Versus Breast Cancer, Including Predicting Epidermal Growth Factor Receptor and human Epidermal Growth Factor Receptor 2 Status.
    Shi J; Chen H; Wang X; Cao R; Chen Y; Cheng Y; Pang Z; Huang C
    J Comput Assist Tomogr; 2023 Nov-Dec 01; 47(6):924-933. PubMed ID: 37948368
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using combined CT-clinical radiomics models to identify epidermal growth factor receptor mutation subtypes in lung adenocarcinoma.
    Huo JW; Luo TY; Diao L; Lv FJ; Chen WD; Yu RZ; Li Q
    Front Oncol; 2022; 12():846589. PubMed ID: 36059655
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diffusion tensor and postcontrast T1-weighted imaging radiomics to differentiate the epidermal growth factor receptor mutation status of brain metastases from non-small cell lung cancer.
    Park YW; An C; Lee J; Han K; Choi D; Ahn SS; Kim H; Ahn SJ; Chang JH; Kim SH; Lee SK
    Neuroradiology; 2021 Mar; 63(3):343-352. PubMed ID: 32827069
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.