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Journal Abstract Search

1924 related items for PubMed ID: 32185618

  • 1. 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
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  • 2. 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
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  • 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 26; 22(17):. PubMed ID: 34502160
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  • 6. 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 26; 58(4):569-576. PubMed ID: 27688480
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  • 8. CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.
    Taguchi N, Oda S, Yokota Y, Yamamura S, Imuta M, Tsuchigame T, Nagayama Y, Kidoh M, Nakaura T, Shiraishi S, Funama Y, Shinriki S, Miyamoto Y, Baba H, Yamashita Y.
    Eur J Radiol; 2019 Sep 26; 118():38-43. PubMed ID: 31439256
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  • 10. Value of multi-center 18F-FDG PET/CT radiomics in predicting EGFR mutation status in lung adenocarcinoma.
    Zuo Y, Liu L, Chang C, Yan H, Wang L, Sun D, Ruan M, Lei B, Xia X, Xie W, Song S, Huang G.
    Med Phys; 2024 Jul 26; 51(7):4872-4887. PubMed ID: 38285641
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  • 12. 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 26; 110():148-155. PubMed ID: 30599853
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  • 14. FDG uptake in non-small cell lung cancer is not an independent predictor of EGFR or KRAS mutation status: a retrospective analysis of 206 patients.
    Lee SM, Bae SK, Jung SJ, Kim CK.
    Clin Nucl Med; 2015 Dec 26; 40(12):950-8. PubMed ID: 26359571
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  • 15. A Radiogenomics Ensemble to Predict EGFR and KRAS Mutations in NSCLC.
    Moreno S, Bonfante M, Zurek E, Cherezov D, Goldgof D, Hall L, Schabath M.
    Tomography; 2021 Apr 29; 7(2):154-168. PubMed ID: 33946756
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  • 16. Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on 18F FDG-PET/CT.
    Koyasu S, Nishio M, Isoda H, Nakamoto Y, Togashi K.
    Ann Nucl Med; 2020 Jan 29; 34(1):49-57. PubMed ID: 31659591
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  • 17. Contrast Enhanced CT Radiogenomics in a Retrospective NSCLC Cohort: Models, Attempted Validation of a Published Model and the Relevance of the Clinical Context.
    Kohan A, Hinzpeter R, Kulanthaivelu R, Mirshahvalad SA, Avery L, Tsao M, Li Q, Ortega C, Metser U, Hope A, Veit-Haibach P.
    Acad Radiol; 2024 Jul 29; 31(7):2953-2961. PubMed ID: 38383258
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  • 20. 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 29; 32(4):2693-2703. PubMed ID: 34807270
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