{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,7]],"date-time":"2026-11-07T19:54:58Z","timestamp":1794081298624,"version":"4.8.0"},"reference-count":33,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T00:00:00Z","timestamp":1773532800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T00:00:00Z","timestamp":1773532800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82371932"],"award-info":[{"award-number":["82371932"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2026,7]]},"abstract":"ABSTRACT<\/jats:title>\n \n Background<\/jats:title>\n Biparametric MRI (bpMRI) was interpreted using Prostate Imaging Reporting and Data System (PI\u2010RADS) version 2.1, a system associated with relatively low specificity. Selective size imaging using filters via diffusion times MRI (SSIFT\u2010MRI) is a novel imaging technique that may improve diagnostic performance.<\/jats:p>\n <\/jats:sec>\n \n Purpose<\/jats:title>\n To compare the diagnostic performance of bpMRI versus SSIFT\u2010MRI for diagnosing clinically significant prostate cancer (csPCa).<\/jats:p>\n <\/jats:sec>\n \n Study Type<\/jats:title>\n Prospective.<\/jats:p>\n <\/jats:sec>\n \n Population<\/jats:title>\n Hundred and eighteen men (age: 70\u2009\u00b1\u20097\u2009years) with suspected csPCa.<\/jats:p>\n <\/jats:sec>\n \n Field Strength\/Sequence<\/jats:title>\n Pulsed and oscillating gradient spin\u2010echo sequences at 3\u2009T. BpMRI included three\u2010plane T2\u2010weighted imaging and diffusion\u2010weighted imaging.<\/jats:p>\n <\/jats:sec>\n \n Assessment<\/jats:title>\n csPCa status was pathologically determined via ultrasound\u2010guided biopsy or prostatectomy. Three radiologists assessed bpMRI and SSIFT\u2010MRI for identifying csPCa lesions, and we further compared the performance of combining PI\u2010RADS with SSIFT\u2010MRI against that of bpMRI.<\/jats:p>\n <\/jats:sec>\n \n Statistical Tests<\/jats:title>\n \n Area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for diagnostic performance; bootstrap resampling for comparing AUC; McNemar's test for comparing sensitivity, specificity, PPV, NPV, and accuracy. A\n p<\/jats:italic>\n \u2010value <\u20090.05 was considered significant.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Per\u2010patient accuracy was significantly higher for SSIFT\u2010MRI (reader 1: 85% vs. 68%; reader 2: 80% vs. 64%; reader 3: 77% vs. 65%). Per\u2010patient specificity (reader 1: 71% vs. 27%; reader 2: 58% vs. 11%; reader 3: 58% vs. 20%) and PPV (reader 1: 84% vs. 67%; reader 2: 78% vs. 64%; reader 3: 77% vs. 65%) were significantly higher for SSIFT\u2010MRI. Combining PI\u2010RADS with SSIFT\u2010MRI yielded significantly higher AUCs and accuracy than bpMRI alone (AUC and accuracy for reader 1: 0.89% and 83%; reader 2: 0.80% and 73%; reader 3: 0.75% and 72%).<\/jats:p>\n <\/jats:sec>\n \n Data Conclusion<\/jats:title>\n SSIFT\u2010MRI for csPCa had similar or higher diagnostic performance compared with bpMRI. The combination approach provided significantly higher AUC and accuracy than bpMRI.<\/jats:p>\n <\/jats:sec>\n \n Evidence Level<\/jats:title>\n 1.<\/jats:p>\n <\/jats:sec>\n \n Stage of Technical Efficacy<\/jats:title>\n 2.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/jmri.70297","type":"journal-article","created":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T03:24:42Z","timestamp":1773631482000},"page":"55-66","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Comparing Radiologist Performance in Diagnosing Clinically Significant Prostate Cancer With Biparametric Versus Size\u2010Selective Diffusion\n MRI<\/scp>"],"prefix":"10.1002","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9554-7161","authenticated-orcid":false,"given":"Hao","family":"Cheng","sequence":"first","affiliation":[{"name":"Department of Radiology Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences Beijing People's Republic of China"},{"name":"Graduate School of Peking Union Medical College Beijing People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9904-6379","authenticated-orcid":false,"given":"Jie","family":"Lu","sequence":"additional","affiliation":[{"name":"Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering College of Biomedical Engineering & Instrument Science, Zhejiang University Hangzhou People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4770-4449","authenticated-orcid":false,"given":"Ming","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Urology Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences Beijing People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1515-964X","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Pathology Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences Beijing People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4314-4667","authenticated-orcid":false,"given":"Jinxia","family":"Zhu","sequence":"additional","affiliation":[{"name":"MR Research Collaboration, Siemens Healthineers Beijing People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7777-7908","authenticated-orcid":false,"given":"Min","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Radiology Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences Beijing People's Republic of China"},{"name":"Graduate School of Peking Union Medical College Beijing People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9303-5821","authenticated-orcid":false,"given":"Dan","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering College of Biomedical Engineering & Instrument Science, Zhejiang University Hangzhou People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3935-7771","authenticated-orcid":false,"given":"Chunmei","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology Beijing Hospital, National Center of Gerontology; 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