{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T06:04:31Z","timestamp":1784181871279,"version":"3.55.0"},"reference-count":22,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T00:00:00Z","timestamp":1769990400000},"content-version":"vor","delay-in-days":1,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["bjui-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJUI Compass"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This study aimed to perform a risk analysis of any prostate cancer (Pca) and of clinically significant prostate cancer (csPCa) in a contemporary cohort of prostatic biopsies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>\n                      We conducted a retrospective analysis of patients who underwent prostate biopsies in our centre between December 2020 and December 2022. We calculated Pca and csPCa rate (ISUP grade \u22652). Univariate and multivariate regression models were constructed to assess independent predictive factors for Pca and csPCa. We used\n                      <jats:italic>\u03c7<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      automatic interaction detection (CHAID) for decision tree analysis.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We included 255 patients in the analysis, of whom 69.8% had positive biopsies for Pca and 36.9% for csPCa. Multivariate analysis found PSA density (PSAd) (OR\u2009=\u20091.001) (1.000; 1.001), PIRADS score (OR\u2009=\u20091.393) (1.234; 1.571) as independent predictive factors of csPCa. For the detection of any PCa, CHAID analysis revealed that patients with PIRADS score \u22644 doubled the risk of negative biopsies (from 22.6% to 54.3%) when the prostate volume was &gt;46\u2009mL.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>For patients with a PIRADS \u22644, a large prostate volume (&gt;46\u2009mL) was a predictor of negative biopsies, independently of PSAd. MRI interpretation and targeting in these patients should therefore be performed with particular caution.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/bco2.70162","type":"journal-article","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T17:16:27Z","timestamp":1770052587000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Risk factors of negative prostate biopsies: A CHAID decision tree analysis"],"prefix":"10.1002","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-8829-2176","authenticated-orcid":false,"given":"Pierre","family":"Allainguillaume","sequence":"first","affiliation":[{"name":"Urology Department Cochin Hospital, APHP  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Coralie","family":"Uthe\u2010Spencker","sequence":"additional","affiliation":[{"name":"Urology Department Cochin Hospital, APHP  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura","family":"Larnaudie","sequence":"additional","affiliation":[{"name":"Pathology Department Cochin Hospital  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mathilde","family":"Sibony","sequence":"additional","affiliation":[{"name":"Pathology Department Cochin Hospital  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anthony","family":"Kanbar","sequence":"additional","affiliation":[{"name":"Urology Department Cochin Hospital, APHP  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Albert","family":"Semaan","sequence":"additional","affiliation":[{"name":"Urology Department Cochin Hospital, APHP  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5827-9567","authenticated-orcid":false,"given":"Nicolas","family":"Barry Delongchamps","sequence":"additional","affiliation":[{"name":"Urology Department Cochin Hospital, APHP  Paris France"},{"name":"INSERM U1151, INEM, Universit\u00e9 Paris Cit\u00e9  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Peyromaure","sequence":"additional","affiliation":[{"name":"Urology Department Cochin Hospital, APHP  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7580-1066","authenticated-orcid":false,"given":"Julien","family":"Anract","sequence":"additional","affiliation":[{"name":"Urology Department Cochin Hospital, APHP  Paris France"},{"name":"INSERM U1151, INEM, Universit\u00e9 Paris Cit\u00e9  Paris 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