These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

267 related articles for article (PubMed ID: 32483122)

  • 1. Contrast-enhanced T1-weighted image radiomics of brain metastases may predict EGFR mutation status in primary lung cancer.
    Ahn SJ; Kwon H; Yang JJ; Park M; Cha YJ; Suh SH; Lee JM
    Sci Rep; 2020 Jun; 10(1):8905. PubMed ID: 32483122
    [TBL] [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. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
    Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
    Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomic prediction of mutation status based on MR imaging of lung cancer brain metastases.
    Chen BT; Jin T; Ye N; Mambetsariev I; Daniel E; Wang T; Wong CW; Rockne RC; Colen R; Holodny AI; Sampath S; Salgia R
    Magn Reson Imaging; 2020 Jun; 69():49-56. PubMed ID: 32179095
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Differentiating EGFR from ALK mutation status using radiomics signature based on MR sequences of brain metastasis.
    Li Y; Lv X; Wang B; Xu Z; Wang Y; Gao S; Hou D
    Eur J Radiol; 2022 Oct; 155():110499. PubMed ID: 36049410
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer.
    Li Y; Lv X; Chen C; Yu R; Wang B; Wang D; Hou D
    Eur Radiol Exp; 2024 Jan; 8(1):2. PubMed ID: 38169047
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MR-based radiomics predictive modelling of EGFR mutation and HER2 overexpression in metastatic brain adenocarcinoma: a two-centre study.
    Li Y; Jin Y; Wang Y; Liu W; Jia W; Wang J
    Cancer Imaging; 2024 May; 24(1):65. PubMed ID: 38773634
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Habitat-Based Radiomics for Predicting EGFR Mutations in Exon 19 and 21 From Brain Metastasis.
    Yang C; Fan Y; Zhao D; Wang Z; Wang X; Wang H; Hu Y; He L; Zhang J; Wang Y; Liu Y; Sha X; Su J
    Acad Radiol; 2024 Sep; 31(9):3764-3773. PubMed ID: 38599906
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improved Prediction of Epidermal Growth Factor Receptor Status by Combined Radiomics of Primary Nonsmall-Cell Lung Cancer and Distant Metastasis.
    Hu Y; Geng Y; Wang H; Chen H; Wang Z; Fu L; Huang B; Jiang W
    J Comput Assist Tomogr; 2024 Sep-Oct 01; 48(5):780-788. PubMed ID: 38498926
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiregional radiomics of brain metastasis can predict response to EGFR-TKI in metastatic NSCLC.
    Fan Y; Wang X; Dong Y; Cui E; Wang H; Sun X; Su J; Luo Y; Yu T; Jiang X
    Eur Radiol; 2023 Nov; 33(11):7902-7912. PubMed ID: 37142868
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on
    Koyasu S; Nishio M; Isoda H; Nakamoto Y; Togashi K
    Ann Nucl Med; 2020 Jan; 34(1):49-57. PubMed ID: 31659591
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Radiomics evaluates the EGFR mutation status from the brain metastasis: a multi-center study.
    Cao R; Pang Z; Wang X; Du Z; Chen H; Liu J; Yue Z; Wang H; Luo Y; Jiang X
    Phys Med Biol; 2022 Jun; 67(12):. PubMed ID: 35588722
    [No Abstract]   [Full Text] [Related]  

  • 16. 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]  

  • 17. Radiomic Detection of EGFR Mutations in NSCLC.
    Rossi G; Barabino E; Fedeli A; Ficarra G; Coco S; Russo A; Adamo V; Buemi F; Zullo L; Dono M; De Luca G; Longo L; Dal Bello MG; Tagliamento M; Alama A; Cittadini G; Pronzato P; Genova C
    Cancer Res; 2021 Feb; 81(3):724-731. PubMed ID: 33148663
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting EGFR T790M Mutation in Brain Metastases Using Multisequence MRI-Based Radiomics Signature.
    Li Y; Lv X; Wang B; Xu Z; Wang Y; Sun M; Hou D
    Acad Radiol; 2023 Sep; 30(9):1887-1895. PubMed ID: 36586758
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting EGFR mutation status by a deep learning approach in patients with non-small cell lung cancer brain metastases.
    Haim O; Abramov S; Shofty B; Fanizzi C; DiMeco F; Avisdris N; Ram Z; Artzi M; Grossman R
    J Neurooncol; 2022 Mar; 157(1):63-69. PubMed ID: 35119589
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis.
    Nakamoto T; Takahashi W; Haga A; Takahashi S; Kiryu S; Nawa K; Ohta T; Ozaki S; Nozawa Y; Tanaka S; Mukasa A; Nakagawa K
    Sci Rep; 2019 Dec; 9(1):19411. PubMed ID: 31857632
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.