Prostate MRI Using Deep Learning Reconstruction in Response to Cancer Screening Demands-A Systematic Review and Meta-Analysis.

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Title: Prostate MRI Using Deep Learning Reconstruction in Response to Cancer Screening Demands-A Systematic Review and Meta-Analysis.
Authors: Ursprung S; Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Karls-Eberhardt University, 72076 Tübingen, Germany., Agrotis G; Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.; GROW-Innovative Cancer Diagnostics & Therapy, Faculty of Health, Medicine and Life Sciences, University of Maastricht, 6229 ER Maastricht, The Netherlands., van Houdt PJ; Department of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands., Ter Beek LC; Department of Medical Physics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands., Boellaard TN; Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands., Beets-Tan RGH; Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.; GROW-Innovative Cancer Diagnostics & Therapy, Faculty of Health, Medicine and Life Sciences, University of Maastricht, 6229 ER Maastricht, The Netherlands., Yakar D; Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.; Department of Radiology, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands., Padhani AR; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood HA6 2RN, UK., Schoots IG; Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.; Department of Radiology and Nuclear Medicine, Erasmus MC Cancer Institute, University Medical Centre, 3015 CP Rotterdam, The Netherlands.
Source: Journal of personalized medicine [J Pers Med] 2025 Jul 02; Vol. 15 (7). Date of Electronic Publication: 2025 Jul 02.
Publication Type: Journal Article; Review
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101602269 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4426 (Print) Linking ISSN: 20754426 NLM ISO Abbreviation: J Pers Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2075-4426
DOI:10.3390/jpm15070284