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 *

193 related articles for article (PubMed ID: 38195717)

  • 1. Deep learning-radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients.
    Kim S; Lim JH; Kim CH; Roh J; You S; Choi JS; Lim JH; Kim L; Chang JW; Park D; Lee MW; Kim S; Heo J
    Sci Rep; 2024 Jan; 14(1):922. PubMed ID: 38195717
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Hybrid deep multi-task learning radiomics approach for predicting EGFR mutation status of non-small cell lung cancer in CT images.
    Gong J; Fu F; Ma X; Wang T; Ma X; You C; Zhang Y; Peng W; Chen H; Gu Y
    Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37972417
    [No Abstract]   [Full Text] [Related]  

  • 3. Habitat radiomics and deep learning fusion nomogram to predict EGFR mutation status in stage I non-small cell lung cancer: a multicenter study.
    Wu J; Meng H; Zhou L; Wang M; Jin S; Ji H; Liu B; Jin P; Du C
    Sci Rep; 2024 Jul; 14(1):15877. PubMed ID: 38982267
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients-a radiomics nomogram analysis.
    Yang X; Liu M; Ren Y; Chen H; Yu P; Wang S; Zhang R; Dai H; Wang C
    Eur Radiol; 2022 Apr; 32(4):2693-2703. PubMed ID: 34807270
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer.
    Lu CF; Liao CY; Chao HS; Chiu HY; Wang TW; Lee Y; Chen JR; Shiao TH; Chen YM; Wu YT
    Cancer Imaging; 2023 Jan; 23(1):9. PubMed ID: 36670497
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. CT-based non-invasive identification of the most common gene mutation status in patients with non-small cell lung cancer.
    Chen Z; Gao S; Ding C; Luo T; Xu J; Xu S; Li S
    Med Phys; 2024 Mar; 51(3):1872-1882. PubMed ID: 37706584
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer.
    Le NQK; Kha QH; Nguyen VH; Chen YC; Cheng SJ; Chen CY
    Int J Mol Sci; 2021 Aug; 22(17):. PubMed ID: 34502160
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Value of pre-therapy
    Zhang J; Zhao X; Zhao Y; Zhang J; Zhang Z; Wang J; Wang Y; Dai M; Han J
    Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1137-1146. PubMed ID: 31728587
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine learning-based radiomics strategy for prediction of acquired EGFR T790M mutation following treatment with EGFR-TKI in NSCLC.
    Lu J; Ji X; Liu X; Jiang Y; Li G; Fang P; Li W; Zuo A; Guo Z; Yang S; Ji Y; Lu D
    Sci Rep; 2024 Jan; 14(1):446. PubMed ID: 38172228
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology.
    Tu W; Sun G; Fan L; Wang Y; Xia Y; Guan Y; Li Q; Zhang D; Liu S; Li Z
    Lung Cancer; 2019 Jun; 132():28-35. PubMed ID: 31097090
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiogenomic Models Using Machine Learning Techniques to Predict EGFR Mutations in Non-Small Cell Lung Cancer.
    Nair JKR; Saeed UA; McDougall CC; Sabri A; Kovacina B; Raidu BVS; Khokhar RA; Probst S; Hirsh V; Chankowsky J; Van Kempen LC; Taylor J
    Can Assoc Radiol J; 2021 Feb; 72(1):109-119. PubMed ID: 32063026
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Systematic Review, Meta-Analysis and Radiomics Quality Score Assessment of CT Radiomics-Based Models Predicting Tumor EGFR Mutation Status in Patients with Non-Small-Cell Lung Cancer.
    Felfli M; Liu Y; Zerka F; Voyton C; Thinnes A; Jacques S; Iannessi A; Bodard S
    Int J Mol Sci; 2023 Jul; 24(14):. PubMed ID: 37511192
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CT-based nomogram for early identification of T790M resistance in metastatic non-small cell lung cancer before first-line epidermal growth factor receptor-tyrosine kinase inhibitors therapy.
    Li Y; Lv X; Wang Y; Xu Z; Lv Y; Hou D
    Eur Radiol Exp; 2023 Nov; 7(1):64. PubMed ID: 37914925
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. EfficientNet-Based System for Detecting EGFR-Mutant Status and Predicting Prognosis of Tyrosine Kinase Inhibitors in Patients with NSCLC.
    Xu N; Wang J; Dai G; Lu T; Li S; Deng K; Song J
    J Imaging Inform Med; 2024 Jun; 37(3):1086-1099. PubMed ID: 38361006
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.