• Login
    View Item 
    •   UMB Digital Archive
    • UMB Open Access Articles
    • UMB Open Access Articles
    • View Item
    •   UMB Digital Archive
    • UMB Open Access Articles
    • UMB Open Access Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UMB Digital ArchiveCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    Display statistics

    Validation of an MRI-based prostate cancer prebiopsy Gleason score predictive nomogram.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Author
    Lee, Adrianna Jiaying
    Wnorowski, Amelia
    Ye, Nancy
    Xu, Linhan
    Naslund, Michael
    Wood, Bradford J
    Merino, Maria J
    Turkbey, Baris
    Choyke, Peter L
    Pinto, Peter A
    Siddiqui, M Minhaj
    Show allShow less

    Date
    2021-12-06
    Journal
    Current Urology
    Publisher
    Lippincott Williams and Wilkins
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1097/CU9.0000000000000069
    https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/35633863/
    Abstract
    The mean PSA in the validation cohort was 9.25ng/mL versus 6.8ng/mL in the original cohort (p = 0.001). The distribution of Gleason scores between the 2 cohorts were not significantly different (p = 0.7). In the original cohort of men, the most probable nomogram generated Gleason score agreed with actual pathologic bGS findings in 61% of the men. In the validation cohort, the most likely nomogram predicted bGS agreed with actual pathologic bGS 51% of the time. The nomogram correctly identified any PCa versus non-PCa 63% of the time and clinically significant (Gleason score ≥ 7) PCa 69% of the time. The negative predictive value for clinically significant PCa using this prebiopsy nomogram was 74% in the validation group.
    Rights/Terms
    Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc.
    Keyword
    Multiparametric magnetic resonance imaging
    Nomogram
    Prostate cancer
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/19044
    ae974a485f413a2113503eed53cd6c53
    10.1097/CU9.0000000000000069
    Scopus Count
    Collections
    UMB Open Access Articles

    entitlement

    Related articles

    • Clinical Utility of Negative Multiparametric Magnetic Resonance Imaging in the Diagnosis of Prostate Cancer and Clinically Significant Prostate Cancer.
    • Authors: Wagaskar VG, Levy M, Ratnani P, Moody K, Garcia M, Pedraza AM, Parekh S, Pandav K, Shukla B, Prasad S, Sobotka S, Haines K, Punnen S, Wiklund P, Tewari A
    • Issue date: 2021 Jun
    • Utility of multiparametric magnetic resonance imaging suspicion levels for detecting prostate cancer.
    • Authors: Rais-Bahrami S, Siddiqui MM, Turkbey B, Stamatakis L, Logan J, Hoang AN, Walton-Diaz A, Vourganti S, Truong H, Kruecker J, Merino MJ, Wood BJ, Choyke PL, Pinto PA
    • Issue date: 2013 Nov
    • Nomogram predicting prostate cancer in patients with negative prebiopsy multiparametric magnetic resonance.
    • Authors: Chen M, Wang R, Zhang T, Zhang X, Wan Y, Fu X
    • Issue date: 2022 Apr
    • Prebiopsy Multiparametric Magnetic Resonance Imaging for Prostate Cancer Diagnosis in Biopsy-naive Men with Suspected Prostate Cancer Based on Elevated Prostate-specific Antigen Values: Results from a Randomized Prospective Blinded Controlled Trial.
    • Authors: Tonttila PP, Lantto J, Pääkkö E, Piippo U, Kauppila S, Lammentausta E, Ohtonen P, Vaarala MH
    • Issue date: 2016 Mar
    • A 4K score/MRI-based nomogram for predicting prostate cancer, clinically significant prostate cancer, and unfavorable prostate cancer.
    • Authors: Wagaskar VG, Sobotka S, Ratnani P, Young J, Lantz A, Parekh S, Falagario UG, Li L, Lewis S, Haines K 3rd, Punnen S, Wiklund P, Tewari A
    • Issue date: 2021 Aug
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Policies | Contact Us | UMB Health Sciences & Human Services Library
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.