{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T05:40:46Z","timestamp":1769924446557,"version":"3.49.0"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T00:00:00Z","timestamp":1641945600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T00:00:00Z","timestamp":1641945600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol Exp"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>We investigated the correlation between texture features extracted from apparent diffusion coefficient (ADC) maps or diffusion-weighted images (DWIs), and grade group (GG) in the prostate peripheral zone (PZ) and transition zone (TZ), and assessed reliability in repeated examinations.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Patients underwent 3-T pelvic magnetic resonance imaging (MRI) before radical prostatectomy with repeated DWI using <jats:italic>b<\/jats:italic>-values of 0, 100, 1,000, and 1,500 s\/mm<jats:sup>2<\/jats:sup>. Region of interest (ROI) for cancer was assigned to the first and second DWI acquisition separately. Texture features of ROIs were extracted from comma-separated values (CSV) data of ADC maps generated from several sets of two <jats:italic>b<\/jats:italic>-value combinations and DWIs, and correlation with GG, discrimination ability between GG of 1\u20132 <jats:italic>versus<\/jats:italic> 3\u20135, and data repeatability were evaluated in PZ and TZ.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Forty-four patients with 49 prostate cancers met the eligibility criteria. In PZ, ADC 10% and 25% based on ADC map of two <jats:italic>b<\/jats:italic>-value combinations of 100 and 1,500 s\/mm<jats:sup>2<\/jats:sup> and 10% based on ADC map with <jats:italic>b<\/jats:italic>-value of 0 and 1,500 s\/mm<jats:sup>2<\/jats:sup> showed significant correlation with GG, acceptable discrimination ability, and good repeatability. In TZ, higher-order texture feature of busyness extracted from ADC map of 100 and 1,500 s\/mm<jats:sup>2<\/jats:sup>, and high gray-level run emphasis, short-run high gray-level emphasis, and high gray-level zone emphasis from DWI with <jats:italic>b<\/jats:italic>-value of 100 s\/mm<jats:sup>2<\/jats:sup> demonstrated significant correlation, excellent discrimination ability, but moderate repeatability.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Some DWI-related features showed significant correlation with GG, acceptable to excellent discrimination ability, and moderate to good data repeatability in prostate cancer, and differed between PZ and TZ.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s41747-021-00252-y","type":"journal-article","created":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T02:03:08Z","timestamp":1641952988000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["DWI-related texture analysis for prostate cancer: differences in correlation with histological aggressiveness and data repeatability between peripheral and transition zones"],"prefix":"10.1186","volume":"6","author":[{"given":"Chie","family":"Tsuruta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenji","family":"Hirata","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kohsuke","family":"Kudo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naoya","family":"Masumori","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4589-1578","authenticated-orcid":false,"given":"Masamitsu","family":"Hatakenaka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,12]]},"reference":[{"key":"252_CR1","doi-asserted-by":"crossref","unstructured":"Lubner MG, Smith AD, Sandrasegaran K, Sahani DV, Pickhardt PJ (2017) CT texture analysis: definitions, applications, biologic correlates, and challenges. 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All participants gave informed consent to this study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"As part of the hospital treatment contract, informed written consent is obtained from all patients and\/or their legal guardians for the use of their anonymized data for research purposes. No personal data is included in this manuscript.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"1"}}