{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T16:55:04Z","timestamp":1791305704761,"version":"4.3.1"},"reference-count":37,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2015,7,1]],"date-time":"2015-07-01T00:00:00Z","timestamp":1435708800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"The Joseph and Diane Steinberg Charitable Trust"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2016,2]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>To assess associations between whole\u2010lesion apparent diffusion coefficient (ADC) metrics and pathologic findings of Likert score 3 prostate lesions at MRI\/ultrasound fusion targeted biopsy.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This retrospective Institutional Review Board\u2010approved study received a waiver of consent. We identified patients receiving a highest lesion score of 3 on 3 Tesla multiparametric MRI reviewed by a single experienced radiologist using a 5\u2010point Likert scale and who underwent fusion biopsy. A total of 188 score 3 lesions in 158 patients were included. Three\u2010dimensional volumes\u2010of\u2010interest encompassing each lesion were traced on ADC maps. Logistic regression was used to predict biopsy results based on whole\u2010lesion ADC metrics and patient biopsy history. Biopsy yield was compared between metrics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>By lesion, targeted biopsy identified tumor in 22.3% and Gleason score (GS)\u2009&gt;\u20096 tumor in 8.5%, although results varied by biopsy history: biopsy\u2010na\u00efve (n\u2009=\u200980), 20.0%\/8.8%; prior negative biopsy (n\u2009=\u200953), 9.4%\/1.9%; prior positive biopsy (n\u2009=\u200955): 40.0%\/14.5%. Biopsy history, whole\u2010lesion mean ADC, whole\u2010lesion ADC<jats:sub>10\u201325<\/jats:sub>, and whole\u2010lesion ADC<jats:sub>25\u201350<\/jats:sub> were each significantly associated with tumor or GS\u2009&gt;\u20096 tumor at fusion biopsy (<jats:italic>P<\/jats:italic>\u2009\u2264\u20090.047). In men without prior negative prostate biopsy, whole\u2010lesion ADC<jats:sub>25\u201350<\/jats:sub>\u2009\u2264\u20091.04*10<jats:sup>\u22123<\/jats:sup> mm<jats:sup>2<\/jats:sup>\/s achieved 90.0% sensitivity and 50.0% specificity for GS\u2009&gt;\u20096 tumor, which was significantly higher (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001) than specificity of PSA (17.5%) at identical sensitivity.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>For score 3 lesions in patients without prior negative biopsy, whole\u2010lesion ADC metrics help detect GS\u2009&gt;\u20096 cancer while avoiding negative biopsies. However, deferral of fusion biopsy may be considered for score 3 lesions in patients with prior negative biopsy (without applying whole\u2010lesion ADC metrics) given exceedingly low (\u223c 2%) frequency of GS\u2009&gt;\u20096 tumor in this group. J. Magn. Reson. Imaging 2016;43:325\u2013332.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.24983","type":"journal-article","created":{"date-parts":[[2015,7,1]],"date-time":"2015-07-01T10:41:00Z","timestamp":1435747260000},"page":"325-332","source":"Crossref","is-referenced-by-count":30,"title":["Likert score 3 prostate lesions: Association between whole\u2010lesion ADC metrics and pathologic findings at MRI\/ultrasound fusion targeted biopsy"],"prefix":"10.1002","volume":"43","author":[{"given":"Andrew B.","family":"Rosenkrantz","sequence":"first","affiliation":[{"name":"Department of Radiology NYU School of Medicine, NYU Langone Medical Center New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaosong","family":"Meng","sequence":"additional","affiliation":[{"name":"Department of Urology Division of Urologic Oncology, NYU School of Medicine, NYU Langone Medical Center New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justin 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