{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T13:10:44Z","timestamp":1780319444708,"version":"3.54.1"},"reference-count":23,"publisher":"MDPI AG","issue":"11","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\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cancers"],"abstract":"<jats:p>Background: Minimum apparent diffusion coefficient (ADC) values are independent predictors of clinically significant prostate cancer (csPC). We developed a novel ADC-based bi-color map and evaluated its utility for identifying lesions suspicious for csPC. Methods: We retrospectively analyzed 108 targeted prostate biopsy cases and 93 radical prostatectomy cases. In the biopsy cohort, we assessed the association between ADC-based bi-color map positivity and csPC in lesions with a Prostate Imaging\u2013Reporting and Data System (PI-RADS) score \u2265 3. In the prostatectomy cohort, we evaluated additional color map-positive lesions not categorized as PI-RADS \u2265 3 on preoperative MRI. Results: In the biopsy cohort, 118 lesions were positive on the ADC-based bi-color map, including lesions outside PI-RADS \u2265 3 categories. Among 157 lesions with a PI-RADS score \u2265 3, csPC was detected in 65 lesions (41.4%). Of these lesions, 70 (44.6%) were positive on the bi-color map, and csPC was identified in 49 (70.0%). The added value of the bi-color map was most evident in PI-RADS 4 lesions, where csPC detection rates were significantly higher in color map-positive than in color map-negative lesions (74.4% vs. 23.3%). In the prostatectomy cohort, 215 lesions were positive on the bi-color map, and csPC was confirmed pathologically in 126 lesions (58.6%). Among 82 color map-positive lesions not classified as PI-RADS \u22653, 55 (67.1%) corresponded to csPC. Conclusions: The ADC-based bi-color map may improve lesion highlighting and risk stratification for csPC and help identify suspicious lesions overlooked on conventional MRI assessment.<\/jats:p>","DOI":"10.3390\/cancers18111796","type":"journal-article","created":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T12:19:42Z","timestamp":1780316382000},"page":"1796","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Clinical Value of a Novel Apparent Diffusion Coefficient-Based Bi-Color Map for Detecting Clinically Significant Prostate Cancer: A Retrospective Study"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8323-1758","authenticated-orcid":false,"given":"Mitsuo","family":"Okada","sequence":"first","affiliation":[{"name":"Department of Urology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 1600023, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1093-2923","authenticated-orcid":false,"given":"Yoichi","family":"Araki","sequence":"additional","affiliation":[{"name":"Department of Radiology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 1600023, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yosuke","family":"Hirasawa","sequence":"additional","affiliation":[{"name":"Department of Urology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 1600023, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Go","family":"Nagao","sequence":"additional","affiliation":[{"name":"Department of Urology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 1600023, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takeshi","family":"Kashima","sequence":"additional","affiliation":[{"name":"Department of Urology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 1600023, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenjiro","family":"Hayashi","sequence":"additional","affiliation":[{"name":"Department of Urology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 1600023, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naoya","family":"Satake","sequence":"additional","affiliation":[{"name":"Department of Urology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 1600023, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5854-2070","authenticated-orcid":false,"given":"Kazuhiro","family":"Saito","sequence":"additional","affiliation":[{"name":"Department of Radiology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 1600023, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5060-3932","authenticated-orcid":false,"given":"Yoshio","family":"Ohno","sequence":"additional","affiliation":[{"name":"Department of Urology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 1600023, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,6,1]]},"reference":[{"key":"ref_1","first-page":"209","article-title":"Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries","volume":"71","author":"Sung","year":"2021","journal-title":"CA A Cancer J. 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