{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T00:56:23Z","timestamp":1778806583205,"version":"3.51.4"},"reference-count":23,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T00:00:00Z","timestamp":1756080000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T00:00:00Z","timestamp":1756080000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Can Assoc Radiol J"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction:<\/jats:title>\n                    <jats:p>This study aimed to determine the positive predictive value (PPV) of magnetic resonance imaging\u2013transrectal ultrasound (MRI-TRUS) machine fusion prostate biopsies, and to identify factors associated with a positive biopsy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      With ethics approval, we retrospectively evaluated all MRI-TRUS machine fusion prostate biopsies at our institution from September 2022 to April 2025. True positive clinically significant prostate cancers (csPCa) were defined as Gleason \u22657. PPVs were calculated overall and for PI-RADS 3, 4 and 5 categories. A generalized linear mixed model (GLMM) was created evaluating the following factors as fixed effects: PI-RADS category; prostate-specific antigen (PSA) density (&lt;0.10, 0.10-0.15, \u22650.15\u2009ng\/mL\n                      <jats:sup>2<\/jats:sup>\n                      ); lesion size (&lt;7, 7-15, \u226515\u2009mm); lesion location (peripheral vs transition zone); ultrasound correlate (present\/absent); prostate size (&lt;60 vs \u226560\u2009mL); interval from MRI to biopsy (&lt;6\u2009months or not); and biopsy operator (2 radiologists). Referring urologist (n\u2009=\u200919) and reporting radiologist (n\u2009=\u20098) were included as random effects.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      372 patients (mean age, 67\u2009\u00b1\u20097\u2009years) with 529 lesions underwent biopsy. The overall PPV was 314\/529 (59.4%). For PI-RADS 3 to 5, PPVs were 32\/72 (44.4%), 123\/243 (50.6%), and 159\/214 (74.3%), respectively. In GLMM analysis, PI-RADS 5 versus 3 (OR 3.6, 95% CI, 1.7-7.4), PSA density \u22650.15\u2009ng\/mL\n                      <jats:sup>2<\/jats:sup>\n                      (OR 2.2, 95% CI, 1.2-3.8), and presence of an ultrasound correlate (OR 2.7, 95% CI, 1.7-4.2) were associated with true positive biopsies. Small lesion size &lt;7\u2009mm was associated with a false positive biopsy (OR 0.4, 95% CI, 0.2-0.8).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>\n                      The yield of fusion prostate biopsies at our institution is high. PI-RADS 5, PSA density \u22650.15\u2009ng\/mL\n                      <jats:sup>2<\/jats:sup>\n                      , and an ultrasound correlate at biopsy were associated with csPCa, whereas sub-7\u2009mm lesions were negatively associated with csPCa.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/08465371251365213","type":"journal-article","created":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T12:15:15Z","timestamp":1756124115000},"page":"354-360","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["The Diagnostic Yield of MRI\u2013Transrectal US Fusion Prostate Biopsy in Patients With Suspected Prostate Cancer"],"prefix":"10.1177","volume":"77","author":[{"given":"Ben Terry","family":"Thompson","sequence":"first","affiliation":[{"name":"Faculty of Science, Dalhousie University, Halifax, NS, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kiyana","family":"Kamali","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, Dalhousie University, Halifax, NS, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1892-9961","authenticated-orcid":false,"given":"Mohamed","family":"Abdolell","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, Dalhousie University, Halifax, NS, Canada"},{"name":"Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, NS, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Rivers-Bowerman","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, Dalhousie University, Halifax, NS, Canada"},{"name":"Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, NS, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1683-8230","authenticated-orcid":false,"given":"Andreu F.","family":"Costa","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, Dalhousie University, Halifax, NS, Canada"},{"name":"Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, NS, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,8,25]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"Canadian Cancer Society. Prostate cancer statistics. May 2024. Accessed May 2025. https:\/\/cancer.ca\/en\/cancer-information\/cancer-types\/prostate\/statistics"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.juro.2016.06.079"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.5489\/cuaj.7832"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2020.09.042"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.euo.2019.05.004"},{"key":"e_1_3_2_7_2","unstructured":"American College of Radiology. Prostate imaging - reporting and data system (PI-RADS) version 2.1. 2019. Accessed May 2025. https:\/\/www.acr.org\/Clinical-Resources\/Clinical-Tools-and-Reference\/Reporting-and-Data-Systems\/PI-RADS"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1177\/08465371221105532"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.14.12681"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2014.17942"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1801993"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)32401-1"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2015151516"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2023.111186"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41391-022-00549-y"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1093\/bjr\/tqad027"},{"key":"e_1_3_2_17_2","volume-title":"R: A Language and Environment for Statistical Computing","author":"R Core Team","year":"2019","unstructured":"R Core Team. 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