BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

324 related articles for article (PubMed ID: 35417660)

  • 1. Development and Validation of Machine Learning Models to Predict Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer: A Multi-Center Retrospective Radiomics Study.
    Liu Y; Zhou J; Wu J; Wang W; Wang X; Guo J; Wang Q; Zhang X; Li D; Xie J; Ding X; Xing Y; Hu D
    Cancer Control; 2022; 29():10732748221092926. PubMed ID: 35417660
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Efficient 18F-fluorodeoxyglucose positron emission tomography/computed tomography-based machine learning model for predicting epidermal growth factor receptor mutations in non-small cell lung cancer.
    Ruan D; Fang J; Teng X
    Q J Nucl Med Mol Imaging; 2024 Mar; 68(1):70-83. PubMed ID: 35420272
    [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. 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]  

  • 5. Investigation of the combination of intratumoral and peritumoral radiomic signatures for predicting epidermal growth factor receptor mutation in lung adenocarcinoma.
    Kawazoe Y; Shiinoki T; Fujimoto K; Yuasa Y; Hirano T; Matsunaga K; Tanaka H
    J Appl Clin Med Phys; 2023 Jun; 24(6):e13980. PubMed ID: 37002910
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Performance evaluation of ML models for preoperative prediction of HER2-low BC based on CE-CBBCT radiomic features: A prospective study.
    Chen X; Li M; Liang X; Su D
    Medicine (Baltimore); 2024 Jun; 103(24):e38513. PubMed ID: 38875420
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. MRI radiomics predicts the efficacy of EGFR-TKI in EGFR-mutant non-small-cell lung cancer with brain metastasis.
    Qi H; Hou Y; Zheng Z; Zheng M; Sun X; Xing L
    Clin Radiol; 2024 Jul; 79(7):515-525. PubMed ID: 38637187
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 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. 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]  

  • 16. PET/CT Radiomic Features: A Potential Biomarker for EGFR Mutation Status and Survival Outcome Prediction in NSCLC Patients Treated With TKIs.
    Yang L; Xu P; Li M; Wang M; Peng M; Zhang Y; Wu T; Chu W; Wang K; Meng H; Zhang L
    Front Oncol; 2022; 12():894323. PubMed ID: 35800046
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Ultrasound-based radiomics machine learning models for diagnosing cervical lymph node metastasis in patients with non-small cell lung cancer: a multicentre study.
    Deng Z; Liu X; Wu R; Yan H; Gou L; Hu W; Wan J; Song C; Chen J; Ma D; Zhou H; Tian D
    BMC Cancer; 2024 Apr; 24(1):536. PubMed ID: 38678211
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Potential of radiomics analysis and machine learning for predicting brain metastasis in newly diagnosed lung cancer patients.
    Yichu S; Fei L; Ying L; Youyou X
    Clin Radiol; 2024 Jun; 79(6):e807-e816. PubMed ID: 38395696
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assessing EGFR gene mutation status in non-small cell lung cancer with imaging features from PET/CT.
    Jiang M; Zhang Y; Xu J; Ji M; Guo Y; Guo Y; Xiao J; Yao X; Shi H; Zeng M
    Nucl Med Commun; 2019 Aug; 40(8):842-849. PubMed ID: 31290849
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.