{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T16:38:05Z","timestamp":1790699885721,"version":"4.1.0"},"reference-count":42,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100016834","name":"Chongqing Municipal Health Commission","doi-asserted-by":"publisher","award":["ZDXK202116"],"award-info":[{"award-number":["ZDXK202116"]}],"id":[{"id":"10.13039\/100016834","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Technol Cancer Res Treat"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Accurate differentiation between prostate cancer (PCa) and benign prostatic hyperplasia (BPH) remains a critical diagnostic challenge with direct implications for clinical management, in part due to the inherent subjectivity of the clinical reference standard Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1). This study aimed to validate the diagnostic efficacy of ultra-high-field 5.0T multiparametric magnetic resonance imaging (mpMRI) histogram analysis for PCa and BPH differentiation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This retrospective consecutive cohort study enrolled 85 patients (41 with pathologically confirmed PCa and 44 with BPH). Fourteen standardized histogram features were extracted from apparent diffusion coefficient (ADC), intravoxel incoherent motion (IVIM) parameters (D, D*, and f), and T2 mapping sequences. A multiparametric diagnostic model was constructed and validated via 5-fold stratified cross-validation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Multiple histogram parameters showed statistically significant between-group differences after Holm-Bonferroni correction for multiple comparisons (all\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001), with the minimum ADC value demonstrating strong negative correlations with serum prostate-specific antigen (PSA) level (\n                      <jats:italic toggle=\"yes\">r<\/jats:italic>\n                      = \u20130.578,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001) and Gleason score (\n                      <jats:italic toggle=\"yes\">r<\/jats:italic>\n                      = \u20130.767,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001); the cross-validated multiparametric model yielded a mean area under the curve (AUC) of 0.9667 (95% CI: 0.924\u20131.000), which achieved superior diagnostic accuracy compared with the single-parameter ADC model (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.05 via DeLong test).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>These findings suggest that 5.0T MRI-based quantitative histogram analysis is a promising noninvasive tool for differentiating PCa from BPH with high accuracy. It offers particular value for reducing diagnostic uncertainty in indeterminate PI-RADS 3 lesions and supporting personalized clinical decision-making.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/15330338261461013","type":"journal-article","created":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T20:13:42Z","timestamp":1781727222000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Quantitative Histogram Analysis of 5.0T Multiparametric MRI for Discrimination Between Prostate Cancer and Benign Hyperplasia"],"prefix":"10.1177","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-5738-7769","authenticated-orcid":false,"given":"Chengfeng","family":"Zheng","sequence":"first","affiliation":[{"name":"The First People\u2019s Hospital of 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