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Univariable and multivariable logistic regression modelling, along with receiver\u2010operating characteristic (\n                      <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>\n                      ) curve analysis, was used to determine the ability of serum biomarkers to predict clinically significant\n                      <jats:styled-content style=\"fixed-case\">PC<\/jats:styled-content>\n                      a (defined as either grade group [\n                      <jats:styled-content style=\"fixed-case\">GG<\/jats:styled-content>\n                      ] \u22652 disease or\n                      <jats:styled-content style=\"fixed-case\">GG<\/jats:styled-content>\n                      1\n                      <jats:styled-content style=\"fixed-case\">PC<\/jats:styled-content>\n                      a detected in &gt;2 cores or &gt;50% of any one core) on biopsy. Age,\n                      <jats:styled-content style=\"fixed-case\">PNB<\/jats:styled-content>\n                      status and Prostate Imaging Reporting and Data System (\n                      <jats:styled-content style=\"fixed-case\">PI<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">RADS<\/jats:styled-content>\n                      ) score were incorporated into the regression models.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of the 241 men who qualified for the study, 91 (37.8%) had clinically significant\n                      <jats:styled-content style=\"fixed-case\">PC<\/jats:styled-content>\n                      a on biopsy. The median (interquartile range)\n                      <jats:styled-content style=\"fixed-case\">PHID<\/jats:styled-content>\n                      was 0.74 (0.44\u20131.24); it was 1.18 (0.77\u20131.83) and 0.55 (0.38\u20130.89) in those with and without clinically significant\n                      <jats:styled-content style=\"fixed-case\">PC<\/jats:styled-content>\n                      a on biopsy, respectively (\n                      <jats:italic>P<\/jats:italic>\n                      &lt; 0.001). On univariable logistic regression, age and\n                      <jats:styled-content style=\"fixed-case\">PNB<\/jats:styled-content>\n                      status were associated with clinically significant cancer. Of the tested biomarkers,\n                      <jats:styled-content style=\"fixed-case\">PHID<\/jats:styled-content>\n                      demonstrated the highest discriminative ability for clinically significant disease (area under the\n                      <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>\n                      curve [\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      ] 0.78 for the univariable model). That continued to be the case in multivariable logistic regression models incorporating age and\n                      <jats:styled-content style=\"fixed-case\">PNB<\/jats:styled-content>\n                      status (\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      0.82). At a threshold of 0.44, representing the 25th percentile of\n                      <jats:styled-content style=\"fixed-case\">PHID<\/jats:styled-content>\n                      in the cohort,\n                      <jats:styled-content style=\"fixed-case\">PHID<\/jats:styled-content>\n                      was 92.3% sensitive and 35.3% specific for clinically significant\n                      <jats:styled-content style=\"fixed-case\">PC<\/jats:styled-content>\n                      a; the sensitivity and specificity were 93.0% and 32.4% and 97.4% and 29.1% for\n                      <jats:styled-content style=\"fixed-case\">GG<\/jats:styled-content>\n                      \u22652 and\n                      <jats:styled-content style=\"fixed-case\">GG<\/jats:styled-content>\n                      \u22653 disease, respectively. In the 104 men who underwent\n                      <jats:styled-content style=\"fixed-case\">MRI<\/jats:styled-content>\n                      ,\n                      <jats:styled-content style=\"fixed-case\">PI<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">RADS<\/jats:styled-content>\n                      score was complementary to\n                      <jats:styled-content style=\"fixed-case\">PHID<\/jats:styled-content>\n                      , with a\n                      <jats:styled-content style=\"fixed-case\">PI<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">RADS<\/jats:styled-content>\n                      score \u22653 or, if\n                      <jats:styled-content style=\"fixed-case\">PI<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">RADS<\/jats:styled-content>\n                      score \u22642, a\n                      <jats:styled-content style=\"fixed-case\">PHID<\/jats:styled-content>\n                      \u22650.44, detecting 100% of clinically significant disease. For that subgroup, of the biomarkers tested,\n                      <jats:styled-content style=\"fixed-case\">PHID<\/jats:styled-content>\n                      (\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      0.90) demonstrated the highest discriminative ability for clinically significant disease on multivariable logistic regression incorporating age,\n                      <jats:styled-content style=\"fixed-case\">PNB<\/jats:styled-content>\n                      status and\n                      <jats:styled-content style=\"fixed-case\">PI<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">RADS<\/jats:styled-content>\n                      score.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      In this contemporary cohort of men undergoing prostate biopsy for the diagnosis of\n                      <jats:styled-content style=\"fixed-case\">PC<\/jats:styled-content>\n                      a,\n                      <jats:styled-content style=\"fixed-case\">PHID<\/jats:styled-content>\n                      outperformed\n                      <jats:styled-content style=\"fixed-case\">PHI<\/jats:styled-content>\n                      and other\n                      <jats:styled-content style=\"fixed-case\">PSA<\/jats:styled-content>\n                      derivatives in the diagnosis of clinically significant cancer. Incorporating age,\n                      <jats:styled-content style=\"fixed-case\">PNB<\/jats:styled-content>\n                      status and\n                      <jats:styled-content style=\"fixed-case\">PI<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">RADS<\/jats:styled-content>\n                      score led to even further gains in the diagnostic performance of\n                      <jats:styled-content style=\"fixed-case\">PHID<\/jats:styled-content>\n                      . Furthermore,\n                      <jats:styled-content style=\"fixed-case\">PI<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">RADS<\/jats:styled-content>\n                      score was found to be complementary to\n                      <jats:styled-content style=\"fixed-case\">PHID<\/jats:styled-content>\n                      . Using 0.44 as a threshold for\n                      <jats:styled-content style=\"fixed-case\">PHID<\/jats:styled-content>\n                      , 35.3% of unnecessary biopsies could have been avoided at the cost of missing 7.7% of clinically significant cancers. Despite these encouraging results, prospective validation is needed.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/bju.14098","type":"journal-article","created":{"date-parts":[[2017,12,12]],"date-time":"2017-12-12T09:03:02Z","timestamp":1513069382000},"page":"619-626","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":81,"title":["Combining Prostate Health Index density, magnetic resonance imaging and prior negative biopsy status to improve the detection of clinically significant prostate cancer"],"prefix":"10.1111","volume":"121","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4379-3675","authenticated-orcid":false,"given":"Sasha C.","family":"Druskin","sequence":"first","affiliation":[{"name":"James Buchanan Brady Urological Institute Department of Urology Johns Hopkins University School of Medicine Baltimore MD USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey J.","family":"Tosoian","sequence":"additional","affiliation":[{"name":"James Buchanan Brady Urological Institute Department of Urology Johns Hopkins University School of Medicine Baltimore MD USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Allen","family":"Young","sequence":"additional","affiliation":[{"name":"James Buchanan Brady Urological Institute Department of Urology Johns Hopkins University School of Medicine Baltimore MD USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah","family":"Collica","sequence":"additional","affiliation":[{"name":"James Buchanan Brady Urological Institute Department of Urology Johns Hopkins University School of Medicine Baltimore MD USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9399-0028","authenticated-orcid":false,"given":"Arnav","family":"Srivastava","sequence":"additional","affiliation":[{"name":"James Buchanan Brady Urological Institute Department of Urology Johns Hopkins University School of Medicine Baltimore MD USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kamyar","family":"Ghabili","sequence":"additional","affiliation":[{"name":"Department of Urology Yale School of Medicine New Haven CT USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katarzyna J.","family":"Macura","sequence":"additional","affiliation":[{"name":"James Buchanan Brady Urological Institute Department of Urology Johns Hopkins University School of Medicine Baltimore MD USA"},{"name":"Sidney Kimmel Comprehensive Cancer Center Johns Hopkins University School of Medicine Baltimore MD USA"},{"name":"Department of Radiology and Radiological Sciences Johns Hopkins University School of Medicine Baltimore MD USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H. 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