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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.euros.2022.06.002</dc:identifier><dc:language>eng</dc:language><dc:creator>Morote, Juan</dc:creator><dc:creator>Borque-Fernando, Ángel</dc:creator><dc:creator>Triquell, Marina</dc:creator><dc:creator>Esteban, Luis M.</dc:creator><dc:creator>Trilla, Enrique</dc:creator><dc:title>The True Utility of Predictive Models Based on Magnetic Resonance Imaging in Selecting Candidates for Prostate Biopsy</dc:title><dc:identifier>ART-2022-129748</dc:identifier><dc:description>Early detection of clinically significant prostate cancer (csPCa) has improved since the introduction of magnetic resonance imaging (MRI) and guided biopsies for this purpose; however, suspicion of PCa is still based on elevated serum prostate-specific antigen and/or abnormal digital rectal examination. At present, the decision to perform a prostate biopsy primarily depends on the Prostate Imaging-Reporting and Data System (PI-RADS) score for lesions observed on MRI. Prostate biopsy is typically avoided when negative MRI (PI-RADS &lt;3) is reported owing to its high negative predictive value; nevertheless, uncertain scenarios remain...</dc:description><dc:date>2022</dc:date><dc:source>http://zaguan.unizar.es/record/119627</dc:source><dc:doi>10.1016/j.euros.2022.06.002</dc:doi><dc:identifier>http://zaguan.unizar.es/record/119627</dc:identifier><dc:identifier>oai:zaguan.unizar.es:119627</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/ISCIII/PI20/01666</dc:relation><dc:identifier.citation>European urology open science 42 (2022), 40-41</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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