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Methods: retrospective analysis of 736 patients (2020–2022) using elastic fusion biopsy with targeted and systematic cores, with univariable and multivariable logistic regression. Results: age, positive DRE, PSA density, and high PI-RADS predict CDR; BMI, hypertension, diabetes, and family history do not. Conclusions: confirm PSA-density and PI-RADS as strong CDR 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factors significantly predicted overall prostate cancer detection rate in the multivariable analysis?","Question",{"text":63,"@type":64},"Age, a positive digital rectal examination (DRE), PSA density, and elevated PI-RADS score were significant predictors of the CDR for overall PCa.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Do BMI, hypertension, diabetes, or positive family history predict prostate cancer detection?",{"text":68,"@type":64},"No. The study reports that BMI, hypertension, diabetes, and positive family history were not predictors of PCa detection.",{"name":70,"@type":61,"acceptedAnswer":71},"How was the fusion biopsy performed and how many patients were evaluated?",{"text":72,"@type":64},"A retrospective cohort of 736 consecutive patients underwent elastic fusion biopsy from 2020 to 2022 using the Koelis Trinity system, with targeted cores per MRI target followed by systematic 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Diabetes, and Body Mass Index  \nMarco Oderda *,†, Alessandro Dematteis †, Giorgio Calleris, Adriana Conti, Daniele D'Agate, Marco Falcone, Alessandro Marquis, Gabriele Montefusco, Giancarlo Marra and Paolo Gontero  \nCitation: Oderda, M.; Dematteis, A.; Calleris, G.; Conti, A.; D'Agate, D.; Falcone, M.; Marquis, A.; Montefusco, G.; Marra, G.; Gontero, P. Predictors of Prostate Cancer at Fusion Biopsy: The Role of Positive Family History, Hypertension, Diabetes, and Body Mass Index. Curr. Oncol. 2023, 30, 4957–4965. [https://doi.org/](https://doi.org/)[ ](https://doi.org/)[10.3390/curroncol30050374](10.3390/curroncol30050374)  \nReceived: 25 March 2023  \nRevised: 9 May 2023  \nAccepted: 10 May 2023  \nPublished: 12 May 2023  \nCopyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://](https://)[ ](https://)[creativecommons.org/licenses/by/](creativecommons.org/licenses/by/)[ ](creativecommons.org/licenses/by/)[4.0/](4.0/)) .  \nDivision of Urology, Department of Surgical Sciences, Molinette Hospital, University of Turin, 10126 Turin, Italy  \n* Correspondence: marco.oderda@unito.it; Tel.: +39-0116707682 † These authors contributed equally to this work.  \nAbstract: Background: PSA density and an elevated PI-RADS score are among the strongest predictors of prostate cancer (PCa) in a fusion biopsy. Positive family history, hypertension, diabetes, and obesity have also been associated with the risk of developing PCa. We aim to identify predictors of the prostate cancer detection rate (CDR) in a series of patients undergoing a fusion biopsy. Methods: We retrospectively evaluated 736 consecutive patients who underwent an elastic fusion biopsy from 2020 to 2022 . Targeted biopsies (2–4 cores per MRI target) were followed by systematic mapping (10–12 cores) . Clinically significant PCa (csPCa) was defined as ISUP score 􀀕 2. Uni-and multivariable logistic regression analyses were performed to identify predictors of CDR among age, body mass index (BMI), hypertension, diabetes, positive family history, PSA, a positive digital rectal examination (DRE), PSA density 􀀕 0.15, previous negative biopsy status, PI-RADS score, and size of MRI lesion. Results: The median patients' age was 71 years, and median PSA was 6.6 ng/mL. A total of 20% of patients had a positive digital rectal examination. Suspicious lesions in mpMRI were scored as 3, 4, and 5 in 14.9%, 55.0%, and 17.5% of cases, respectively. The CDR was 63.2% for all cancersand 58.7% for csPCa. Only age (OR 1.04, p \u003C 0.001), a positive DRE (OR 1.75, p = 0.04), PSA density (OR 2.68, p \u003C 0.001), and elevated PI-RADS score (OR 4.02, p = 0.003) were significant predictors of the CDR in the multivariable analysis for overall PCa. The same associations were found for csPCa. The size of an MRI lesion was associated with the CDR only in uni-variable analysis (OR 1.07, p \u003C 0.001) . BMI, hypertension, diabetes, and a positive family history were not predictors of PCa. Conclusions: In a series of patients selected for a fusion biopsy, positive family history, hypertension, diabetes, or BMI are not predictors of PCa detection. PSA-density and PI-RADS score are confirmed to be strong predictors of the CDR.  \nKeywords: fusion biopsy; prostate cancer; risk factors; family history; hypertension; diabetes; body mass index  \n1. Introduction  \nProstate cancer (PCa) is the second most common tumor diagnosed in men, accounting for an estimated 1.4 million diagnoses globally in 2020 [1,2] . Some not modifiable risk factors for overall PCa incidence have been demonstrated and consist in older age, a family history of PCa, and ancestry, in particular, the African American race [3–5] . PCa incidence and mortality change according to patients' geographical origin. In","cbCaigitgiGPMyaN","https://ap.wps.com/l/cbCaigitgiGPMyaN","pdf",537062,"English","# Introduction\n# Materials and Methods","[{\"question\":\"Which factors significantly predicted overall prostate cancer detection rate in the multivariable analysis?\",\"answer\":\"Age, a positive digital rectal examination (DRE), PSA density, and elevated PI-RADS score were significant predictors of the CDR for overall PCa.\"},{\"question\":\"Do BMI, hypertension, diabetes, or positive family history predict prostate cancer detection?\",\"answer\":\"No. The study reports that BMI, hypertension, diabetes, and positive family history were not predictors of PCa detection.\"},{\"question\":\"How was the fusion biopsy performed and how many patients were evaluated?\",\"answer\":\"A retrospective cohort of 736 consecutive patients underwent elastic fusion biopsy from 2020 to 2022 using the Koelis Trinity system, with targeted cores per MRI target followed by systematic mapping.\"}]","Predictors of Prostate Cancer at Fusion Biopsy - The Role of Positive Family History, Hypertension, Diabetes, and Body Mass Index | PDF",1790271351,23]