{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T18:44:19Z","timestamp":1785350659349,"version":"3.55.0"},"reference-count":53,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T00:00:00Z","timestamp":1737504000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Reignwood Cultural Foundation and the Australian Research Council (ARC) Linkage","award":["LP170100494"],"award-info":[{"award-number":["LP170100494"]}]},{"name":"Reignwood Cultural Foundation and the Australian Research Council (ARC) Linkage","award":["CE140100007"],"award-info":[{"award-number":["CE140100007"]}]},{"name":"ARC Centre of Excellence for Integrative Brain Function","award":["LP170100494"],"award-info":[{"award-number":["LP170100494"]}]},{"name":"ARC Centre of Excellence for Integrative Brain Function","award":["CE140100007"],"award-info":[{"award-number":["CE140100007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>This study evaluated the hypothesis that 68Ga-PSMA-11 PET SUV, obtained via an advanced DL approach, correlates better with MR ADC maps than values from conventional PET-MR. Additionally, we aimed to identify the optimal SUV threshold for maximum correlation with ADC values. A cohort of 32 prostate cancer patients underwent CT and corresponding PET-MR imaging. The dataset underwent K-fold cross-validation, dividing it into four folds. In each fold, 24 patients were used for training, and 8 for validation to create DL models. ADC maps from 27 out of 32 patients were successfully aligned with T2 images for detailed analysis, revealing an inverse correlation (\u03c1 = \u22120.20 to \u22120.51) between ADC and SUV values in prostate cancer zones. Statistically significant differences in mean SUV values were observed between PETMRI and PETDL. DL-based SUV values show a stronger correlation with ADC than conventional PET-MR values in our investigation.<\/jats:p>","DOI":"10.3390\/ijms26030905","type":"journal-article","created":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T07:55:32Z","timestamp":1737532532000},"page":"905","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Correlations Between MR Apparent Diffusion Coefficients and PET Standard Uptake Values in Simultaneous MR-PET Imaging of Prostate Cancer"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6740-9930","authenticated-orcid":false,"given":"Andrii","family":"Pozaruk","sequence":"first","affiliation":[{"name":"Department of Photomedicine and Physical Chemistry, Institute of Medical Sciences, The Medical College of The University of Rzesz\u00f3w, 35-310 Rzesz\u00f3w, Poland"},{"name":"Institute of Physics, College of Natural Sciences, University of Rzesz\u00f3w, 35-959 Rzesz\u00f3w, Poland"},{"name":"Monash Biomedical Imaging, Monash University, Clayton, VIC 3168, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0715-9578","authenticated-orcid":false,"given":"Vitaliy","family":"Atamaniuk","sequence":"additional","affiliation":[{"name":"Institute of Physics, College of Natural Sciences, University of Rzesz\u00f3w, 35-959 Rzesz\u00f3w, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kamlesh","family":"Pawar","sequence":"additional","affiliation":[{"name":"Monash Biomedical Imaging, Monash University, Clayton, VIC 3168, Australia"},{"name":"Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, VIC 3168, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandra","family":"Carey","sequence":"additional","affiliation":[{"name":"Monash Biomedical Imaging, Monash University, Clayton, VIC 3168, Australia"},{"name":"Monash Imaging, Monash Health, Clayton, VIC 3168, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeremy","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Surgery, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marian","family":"Cholewa","sequence":"additional","affiliation":[{"name":"Institute of Physics, College of Natural Sciences, University of Rzesz\u00f3w, 35-959 Rzesz\u00f3w, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeremy","family":"Grummet","sequence":"additional","affiliation":[{"name":"Department of Surgery, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaolin","family":"Chen","sequence":"additional","affiliation":[{"name":"Monash Biomedical Imaging, Monash University, Clayton, VIC 3168, Australia"},{"name":"Department of Data Science and AI, Faculty of Information Technology, Monash University, Clayton, VIC 3168, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3186-4026","authenticated-orcid":false,"given":"Gary","family":"Egan","sequence":"additional","affiliation":[{"name":"Monash Biomedical Imaging, Monash University, Clayton, VIC 3168, Australia"},{"name":"Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, VIC 3168, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"87","DOI":"10.3322\/caac.21262","article-title":"Global cancer statistics, 2012","volume":"65","author":"Torre","year":"2015","journal-title":"CA Cancer J. 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