Mp40-06 early detection of prostate cancer: an optimized urine smart test

You have accessJournal of UrologyCME1 Apr 2023MP40-06 EARLY DETECTION OF PROSTATE CANCER: AN OPTIMIZED URINE SMART TEST Daniele Amparore, Federico Piramide, Sabrina De Cillis, Gabriele Volpi, Alberto Piana, Michele Sica, Stefano Granato, Paolo Verri, Juliette Meziere, Della Corte Marcello, Enrico Checcucci, Matteo Manfredi, Cristian Fiori, Sergio Occhipinti, and Francesco Porpiglia Daniele AmparoreDaniele Amparore More articles by this author , Federico PiramideFederico Piramide More articles by this author , Sabrina De CillisSabrina De Cillis More articles by this author , Gabriele VolpiGabriele Volpi More articles by this author , Alberto PianaAlberto Piana More articles by this author , Michele SicaMichele Sica More articles by this author , Stefano GranatoStefano Granato More articles by this author , Paolo VerriPaolo Verri More articles by this author , Juliette MeziereJuliette Meziere More articles by this author , Della Corte MarcelloDella Corte Marcello More articles by this author , Enrico CheccucciEnrico Checcucci More articles by this author , Matteo ManfrediMatteo Manfredi More articles by this author , Cristian FioriCristian Fiori More articles by this author , Sergio OcchipintiSergio Occhipinti More articles by this author , and Francesco PorpigliaFrancesco Porpiglia More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003278.06AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Rapid tests are popular diagnostic method that can rapidly provide in vitro diagnostic results by non-trained personnel at a patient site, permitting to decentralize first line exams outside the hospitals and towards local areas. In the present study we aim to validate the diagnostic performance of a rapid urine test based on PSA and Zinc and to explore the ability to improve early prostate cancer diagnosis. METHODS: A urine sample were collected from 174 subjects scheduled for prostatic biopsies based on standard parameters, as PSA levels, digital rectal examination (DRE) and multiparametric-magnetic resonance imaging (mpMRI). Informed consent was obtained from each participant. The amount of urinary PSA and Zinc was determined by an optimize device combining lateral flow immunoassay and colorimetric dip-stick assay, respectively, and confirmed with commercial assays. RESULTS: The test for urinary PSA and Zinc have been optimized based on values observed in previous studies, in order to return an intensity scale from 0 to 4, in relation to the quantity of analyte present in the sample. Intensity has been evaluated by the naked eye and image readers, showing a concordance of 88%. Multivariate ROC curve analysis combining Rapid test intensity with routine parameters such as PSA, Age, DRE (standard of care (SOC)) and PiRADS obtained by mpMRI resulted in an AUC=0.861, that is statistically different from SOC or PiRADS alone (AUC 0,643 and 0,761, respectively). CONCLUSIONS: These results suggest that our optimized rapid test for urinary PSA and Zinc could be clinically useful in detecting neoplastic transformation in the prostate and spare useless invasive analysis to healthy subjects. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e547 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Daniele Amparore More articles by this author Federico Piramide More articles by this author Sabrina De Cillis More articles by this author Gabriele Volpi More articles by this author Alberto Piana More articles by this author Michele Sica More articles by this author Stefano Granato More articles by this author Paolo Verri More articles by this author Juliette Meziere More articles by this author Della Corte Marcello More articles by this author Enrico Checcucci More articles by this author Matteo Manfredi More articles by this author Cristian Fiori More articles by this author Sergio Occhipinti More articles by this author Francesco Porpiglia More articles by this author Expand All Advertisement PDF downloadLoading ...