BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 37706584)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images.
    Shiri I; Amini M; Nazari M; Hajianfar G; Haddadi Avval A; Abdollahi H; Oveisi M; Arabi H; Rahmim A; Zaidi H
    Comput Biol Med; 2022 Mar; 142():105230. PubMed ID: 35051856
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Role of [¹⁸F]FDG PET in prediction of KRAS and EGFR mutation status in patients with advanced non-small-cell lung cancer.
    Caicedo C; Garcia-Velloso MJ; Lozano MD; Labiano T; Vigil Diaz C; Lopez-Picazo JM; Gurpide A; Zulueta JJ; Richter Echevarria JA; Perez Gracia JL
    Eur J Nucl Med Mol Imaging; 2014 Nov; 41(11):2058-65. PubMed ID: 24990403
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genomics of non-small cell lung cancer (NSCLC): Association between CT-based imaging features and EGFR and K-RAS mutations in 122 patients-An external validation.
    Rizzo S; Raimondi S; de Jong EEC; van Elmpt W; De Piano F; Petrella F; Bagnardi V; Jochems A; Bellomi M; Dingemans AM; Lambin P
    Eur J Radiol; 2019 Jan; 110():148-155. PubMed ID: 30599853
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. Dual-energy spectral CT characteristics in surgically resected lung adenocarcinoma: comparison between Kirsten rat sarcoma viral oncogene mutations and epidermal growth factor receptor mutations.
    Li M; Zhang L; Tang W; Duan JC; Jin YJ; Qi LL; Wu N
    Cancer Imaging; 2019 Nov; 19(1):77. PubMed ID: 31783917
    [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. Brain-Tumor Interface-Based MRI Radiomics Models to Determine EGFR Mutation, Response to EGFR-TKI and T790M Resistance Mutation in Non-Small Cell Lung Carcinoma Brain Metastasis.
    Fan Y; Wang X; Yang C; Chen H; Wang H; Wang X; Hou S; Wang L; Luo Y; Sha X; Yang H; Yu T; Jiang X
    J Magn Reson Imaging; 2023 Dec; 58(6):1838-1847. PubMed ID: 37144750
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung Cancer.
    Yip SS; Kim J; Coroller TP; Parmar C; Velazquez ER; Huynh E; Mak RH; Aerts HJ
    J Nucl Med; 2017 Apr; 58(4):569-576. PubMed ID: 27688480
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Radiomics for the prediction of EGFR mutation subtypes in non-small cell lung cancer.
    Li S; Ding C; Zhang H; Song J; Wu L
    Med Phys; 2019 Oct; 46(10):4545-4552. PubMed ID: 31376283
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Radiomics of Spinal Metastases Originating From Primary Nonsmall Cell Lung Cancer or Breast Cancer and Ability to Predict Epidermal Growth Factor Receptor Mutation/Ki-67 Levels.
    Niu S; Zhang H; Wang X; Jiang W
    J Comput Assist Tomogr; 2023 Jul-Aug 01; 47(4):643-649. PubMed ID: 37380152
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.