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PUBMED FOR HANDHELDS

Journal Abstract Search


468 related items for PubMed ID: 31808980

  • 1. Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4-10 ng/mL to Reduce Unnecessary Biopsies.
    Qi Y, Zhang S, Wei J, Zhang G, Lei J, Yan W, Xiao Y, Yan S, Xue H, Feng F, Sun H, Tian J, Jin Z.
    J Magn Reson Imaging; 2020 Jun; 51(6):1890-1899. PubMed ID: 31808980
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  • 4. Radiomics Based on MRI as a Biomarker to Guide Therapy by Predicting Upgrading of Prostate Cancer From Biopsy to Radical Prostatectomy.
    Zhang GM, Han YQ, Wei JW, Qi YF, Gu DS, Lei J, Yan WG, Xiao Y, Xue HD, Feng F, Sun H, Jin ZY, Tian J.
    J Magn Reson Imaging; 2020 Oct; 52(4):1239-1248. PubMed ID: 32181985
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  • 6. [Preliminary applicability evaluation of Prostate Imaging Reporting and Data System version 2 diagnostic score in 3.0T multi-parameters magnetic resonance imaging combined with prostate specific antigen density for prostate cancer].
    Zuo MZ, Zhao WL, Wei CG, Zhang CY, Wen R, Gu YF, Li MJ, Zhang YY, Wu JF, Li X, Shen JK.
    Zhonghua Yi Xue Za Zhi; 2017 Dec 19; 97(47):3693-3698. PubMed ID: 29325321
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  • 7. Predicting prostate cancer in men with PSA levels of 4-10 ng/mL: MRI-based radiomics can help junior radiologists improve the diagnostic performance.
    Zhong JG, Shi L, Liu J, Cao F, Ma YQ, Zhang Y.
    Sci Rep; 2023 Mar 24; 13(1):4846. PubMed ID: 36964192
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  • 8. MRI-Based Radiomics Signature for the Preoperative Prediction of Extracapsular Extension of Prostate Cancer.
    Ma S, Xie H, Wang H, Han C, Yang J, Lin Z, Li Y, He Q, Wang R, Cui Y, Zhang X, Wang X.
    J Magn Reson Imaging; 2019 Dec 24; 50(6):1914-1925. PubMed ID: 31062459
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  • 11. Can Prostate Imaging Reporting and Data System Version 2 reduce unnecessary prostate biopsies in men with PSA levels of 4-10 ng/ml?
    Xu N, Wu YP, Chen DN, Ke ZB, Cai H, Wei Y, Zheng QS, Huang JB, Li XD, Xue XY.
    J Cancer Res Clin Oncol; 2018 May 24; 144(5):987-995. PubMed ID: 29504080
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  • 14. Multiparametric Magnetic Resonance Imaging-Based Peritumoral Radiomics for Preoperative Prediction of the Presence of Extracapsular Extension With Prostate Cancer.
    Bai H, Xia W, Ji X, He D, Zhao X, Bao J, Zhou J, Wei X, Huang Y, Li Q, Gao X.
    J Magn Reson Imaging; 2021 Oct 24; 54(4):1222-1230. PubMed ID: 33970517
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  • 15. Qualitative and Quantitative Reporting of a Unique Biparametric MRI: Towards Biparametric MRI-Based Nomograms for Prediction of Prostate Biopsy Outcome in Men With a Clinical Suspicion of Prostate Cancer (IMPROD and MULTI-IMPROD Trials).
    Perez IM, Jambor I, Kauko T, Verho J, Ettala O, Falagario U, Merisaari H, Kiviniemi A, Taimen P, Syvänen KT, Knaapila J, Seppänen M, Rannikko A, Riikonen J, Kallajoki M, Mirtti T, Lamminen T, Saunavaara J, Pahikkala T, Boström PJ, Aronen HJ.
    J Magn Reson Imaging; 2020 May 24; 51(5):1556-1567. PubMed ID: 31750988
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  • 16. Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings.
    Shiradkar R, Ghose S, Jambor I, Taimen P, Ettala O, Purysko AS, Madabhushi A.
    J Magn Reson Imaging; 2018 Dec 24; 48(6):1626-1636. PubMed ID: 29734484
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  • 17. Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRI.
    Zheng H, Miao Q, Liu Y, Raman SS, Scalzo F, Sung K.
    J Magn Reson Imaging; 2022 Jan 24; 55(1):100-110. PubMed ID: 34160114
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  • 18. Radiomics Models Based on Apparent Diffusion Coefficient Maps for the Prediction of High-Grade Prostate Cancer at Radical Prostatectomy: Comparison With Preoperative Biopsy.
    Han C, Ma S, Liu X, Liu Y, Li C, Zhang Y, Zhang X, Wang X.
    J Magn Reson Imaging; 2021 Dec 24; 54(6):1892-1901. PubMed ID: 33682286
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