{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T18:53:47Z","timestamp":1768416827956,"version":"3.49.0"},"reference-count":25,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T00:00:00Z","timestamp":1768262400000},"content-version":"vor","delay-in-days":12,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Prostate Cancer"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Multiparametric magnetic resonance imaging (mpMRI) has been widely utilized in clinical practice for identifying clinically significant prostate cancer (csPCa). Although mpMRI demonstrates a pooled negative predictive value (NPV) of 90%, additional clinical parameters require evaluation to enhance this metric specifically for the Chinese population\u2014given the rising incidence of PCa in China, as well as ethnic differences in average prostate volume (PV) and chronic prostatitis prevalence that may impact mpMRI\u2019s diagnostic performance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A retrospective analysis was conducted on 543 patients who underwent transrectal ultrasound\u2010guided prostate biopsy at Beijing Tsinghua Changgung Hospital between November 2014 and March 2025. After applying exclusion criteria, 412 patients were enrolled, all of whom had completed prebiopsy mpMRI within 1\u2009month prior to biopsy. Patients were stratified into four groups based on the results of MRI examination and the pathological outcomes of biopsy: MRI (\u2212) PCa (\u2212), MRI (+) PCa (\u2212), MRI (\u2212) PCa (+), and MRI (+) PCa (+) groups. Multivariate logistic regression analyses were used to assess the odd ratios (ORs) of potential predictors for csPCa, comparing the MRI (\u2212) PCa (+) and MRI (\u2212) PCa (\u2212) groups. Receiver operating characteristic curves were generated to analyze the predictive values of total PSA (tPSA), free PSA (fPSA), free\u2010to\u2010total (f\/t) PSA, PV, PSA density (PSAD), and adjusted PSAD (PSAD\n                      <jats:sup>adj<\/jats:sup>\n                      , defined as PSAD\u2009\u00d7\u2009weight) for csPCa in patients with negative MRI.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The patient distribution was as follows: MRI (\u2212) PCa (\u2212) group: 27.9% (115\/412), MRI (+) PCa (\u2212) group: 36.9% (152\/412), MRI (\u2212) PCa (+) group: 2.4% (10\/412), and MRI (+) PCa (+) group: 32.8% (135\/412). The NPV of MRI for csPCa was 92%. Multivariate analyses indicated that PV was negatively associated with the presence of csPCa (OR\u2009=\u20090.940, 95% CI: 0.896\u20130.986,\n                      <jats:italic>p<\/jats:italic>\n                      = 0.012), while PSAD and PSAD\n                      <jats:sup>adj<\/jats:sup>\n                      were positively associated with csPCa occurrence (OR\u2009=\u200910.288, 95% CI: 1.569\u201367.46,\n                      <jats:italic>p<\/jats:italic>\n                      = 0.015; OR\u2009=\u20091.027, 95% CI: 1.001\u20131.053,\n                      <jats:italic>p<\/jats:italic>\n                      = 0.043, respectively). For MRI\u2010negative patients, PV &gt;\u200955.25\u2009mL (sensitivity\u2009=\u2009100%, specificity\u2009=\u200963.2%), PSAD &lt;\u20090.100\u2009ng\/mL\n                      <jats:sup>2<\/jats:sup>\n                      (sensitivity\u2009=\u2009100%, specificity\u2009=\u200925.4%), or PSAD\n                      <jats:sup>adj<\/jats:sup>\n                      \u2009&lt;\u20097.24\u2009ng\/mL (sensitivity\u2009=\u2009100%, specificity\u2009=\u200928.1%) enhanced MRI\u2019s NPV to 100%, while PSAD &lt;\u20090.205\u2009ng\/mL\n                      <jats:sup>2<\/jats:sup>\n                      (sensitivity\u2009=\u200977.8%, specificity\u2009=\u200971.9%) and PSAD\n                      <jats:sup>adj<\/jats:sup>\n                      &lt;\u200924.97\u2009ng\/mL (sensitivity\u2009=\u200955.6%, specificity\u2009=\u200990.4%) improved NPV to 97.6% and 92.6%, respectively.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      In Chinese men with negative prostate MRIs, PV &gt;\u200955.25\u2009mL, PSAD &lt;\u20090.100\u2009ng\/mL\n                      <jats:sup>2<\/jats:sup>\n                      , or PSAD\n                      <jats:sup>adj<\/jats:sup>\n                      &lt;\u20097.24\u2009ng\/mL may elevate mpMRI\u2019s NPV from 92% to 100%, enabling safe avoidance of unnecessary biopsies. Prospective multicenter validation is required to confirm these findings.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/proc\/1399482","type":"journal-article","created":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T11:02:05Z","timestamp":1768388525000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Reliability of Negative Prostate MRI for Biopsy Decision\u2010Making in the Male Han Chinese 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