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A PI-RADSv2.1 conform mpMRI protocol was acquired in a 3\u2009T scanner (scan time: 25\u2009min 45\u2009sec). In addition, two deep-learning (DL) accelerated sequences (T2- and diffusion-weighted) were acquired, serving as a screening protocol (scan time: 3\u2009min 28\u2009sec). Two readers evaluated image quality and the probability of PCa regarding PI-RADSv2.1 scores in two sessions. The diagnostic performance of the screening protocol with mpMRI serving as the reference standard was derived. Inter- and intra-reader agreements were evaluated using weighted kappa statistics.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>We included 77 patients with 97 lesions (mean age: 66 years; SD: 7.7). Diagnostic performance of the screening protocol was excellent with a sensitivity and specificity of 100%\/100% and 89%\/98% (cut-off \u2265 PI-RADS 4) for reader 1 (R1) and reader 2 (R2), respectively. Mean image quality was 3.96 (R1) and 4.35 (R2) for the standard protocol vs. 4.74 and 4.57 for the screening protocol (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05). Inter-reader agreement was moderate (<jats:italic>\u03ba<\/jats:italic>: 0.55) for the screening protocol and substantial (<jats:italic>\u03ba<\/jats:italic>: 0.61) for the multiparametric protocol.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>The ultra-fast screening protocol showed similar diagnostic performance and better imaging quality compared to the mpMRI in under 15% of scan time, improving efficacy and enabling the implementation of screening protocols in clinical routine.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Clinical relevance statement<\/jats:title>\n                <jats:p>The ultra-fast protocol enables examinations without contrast administration, drastically reducing scan time to 3.5\u2009min with similar diagnostic performance and better imaging quality. This facilitates patient-friendly, efficient examinations and addresses the conflict of increasing demand for examinations at currently exhausted capacities.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Key Points<\/jats:title>\n                <jats:p><jats:list list-type=\"bullet\">\n                  <jats:list-item>\n                    <jats:p><jats:italic>Time-consuming MRI protocols are in conflict with an expected increase in examinations required for prostate cancer screening.<\/jats:italic><\/jats:p>\n                  <\/jats:list-item>\n                  <jats:list-item>\n                    <jats:p><jats:italic>An ultra-fast MRI protocol shows similar performance and better image quality compared to the standard protocol.<\/jats:italic><\/jats:p>\n                  <\/jats:list-item>\n                  <jats:list-item>\n                    <jats:p><jats:italic>Deep-learning acceleration facilitates efficient and patient-friendly examinations, thus improving prostate cancer screening capacity.<\/jats:italic><\/jats:p>\n                  <\/jats:list-item>\n                <\/jats:list><\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Graphical Abstract<\/jats:title>\n                \n              <\/jats:sec>","DOI":"10.1007\/s00330-024-10776-7","type":"journal-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T14:02:55Z","timestamp":1716472975000},"page":"7053-7062","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Performance of an ultra-fast deep-learning accelerated MRI screening protocol for prostate cancer compared to a standard multiparametric protocol"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4267-3601","authenticated-orcid":false,"given":"B.","family":"Oerther","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H.","family":"Engel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Nedelcu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.","family":"Strecker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T.","family":"Benkert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Nickel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"E.","family":"Weiland","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T.","family":"Mayrhofer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F.","family":"Bamberg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Benndorf","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Wei\u00df","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C.","family":"Wilpert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,5,23]]},"reference":[{"key":"10776_CR1","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1097\/JU.0000000000002757","volume":"208","author":"JA Eastham","year":"2022","unstructured":"Eastham JA, Auffenberg GB, Barocas DA et al (2022) Clinically localized prostate cancer: AUA\/ASTRO guideline, part I: introduction, risk assessment, staging, and risk-based management. 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The vendor had neither part in data management nor data analysis. There were no financial compensations.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Multiple authors have significant statistical expertise, although no complex statistical methods were necessary for this paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Written informed consent was obtained from all patients in this study.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Approval from the local Institutional Review Board was obtained.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"None of the included patients have been reported on before.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}