{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T19:27:53Z","timestamp":1786649273888,"version":"build-2736575974"},"reference-count":20,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"4","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:sec>\n                    <jats:title>Aim:<\/jats:title>\n                    <jats:p>This study aimed to address critical gaps in magnetic resonance imaging (MRI) training among medical physicists in T\u00fcrkiye by developing and evaluating a structured virtual course focused on foundational and clinically relevant MRI physics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>A 9-week virtual course was developed through a collaboration between the Turkish Medical Physics Association and international MRI experts. The curriculum covered 13 core topics, including nuclear magnetic resonance, spatial encoding, MRI safety, and MR-guided radiotherapy. Live instruction was delivered in English by volunteer physicists and radiologists. A total of 160 medical physicists enrolled, and 95 completed a baseline survey assessing self-reported knowledge across all topics. Weekly postlecture evaluations were conducted. Knowledge gains were assessed using the Wilcoxon signed-rank test.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      Statistical analysis revealed significant improvements in self-reported knowledge across all 13 topics (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001). High rates of weekly engagement and positive feedback from participants further supported the course\u2019s relevance and accessibility.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>This virtual course addressed critical training gaps in MRI physics among T\u00fcrkiye\u2019s medical physics workforce. The initiative offers a scalable and adaptable model for professional development in contexts where access to imaging technology has outstripped training. By linking technical education to clinical application, the program reinforces the importance of human capital in realizing the full potential of MRI in therapeutic settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/jmp.jmp_160_25","type":"journal-article","created":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T20:00:51Z","timestamp":1767211251000},"page":"802-807","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":0,"title":["Addressing the Knowledge Gap in Magnetic Resonance Imaging Physics in T\u00fcrkiye: A Transcontinental Continuing Educational Initiative by the Turkish Medical Physics Association"],"prefix":"10.4103","volume":"50","author":[{"given":"Joseph","family":"Weygand","sequence":"first","affiliation":[{"name":"Division of Global Radiation Oncology, Department of Radiation Oncology and Applied Sciences, Dartmouth Hitchcock Medical Center, Lebanon, NH, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Turgay","family":"Toksoy","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Bursa Ali Osman S\u00f6nmez Oncology Hospital, Bursa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G\u00f6rkem","family":"G\u00fcng\u00f6r","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Ac\u0131badem University School of Medicine, Istanbul, T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jesutofunmi","family":"Fajemisin","sequence":"additional","affiliation":[{"name":"Department of Applied Physics, University of South Florida, Tampa, FL, USA"},{"name":"Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eman","family":"Suliman","sequence":"additional","affiliation":[{"name":"Department of Medicine, Al Zahraa University Hospital, Cairo, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John M.","family":"Bryant","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Travis C.","family":"Salzillo","sequence":"additional","affiliation":[{"name":"Department of Radiation Physics, MD Anderson Cancer Center, Houston, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel A.","family":"Einstein","sequence":"additional","affiliation":[{"name":"Department of Radiology, Pennsylvania State College of Medicine, Hershey, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evren O.","family":"G\u00f6ksel","sequence":"additional","affiliation":[{"name":"Radiotherapy Program, Vocational School of Health Services, Ac\u0131badem Mehmet Ali Aydinlar University, Istanbul, T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2025,12,31]]},"reference":[{"key":"R1-20260420","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1148\/radiology.161.2.3763909","article-title":"MR imaging of intravoxel incoherent motions: Application to diffusion and perfusion in neurologic disorders","volume":"161","author":"Le Bihan","year":"1986","journal-title":"Radiology"},{"key":"R2-20260420","doi-asserted-by":"crossref","first-page":"30618","DOI":"10.1038\/srep30618","article-title":"Magnetic resonance imaging of glucose uptake and metabolism in patients with head and neck cancer","volume":"6","author":"Wang","year":"2016","journal-title":"Sci Rep"},{"key":"R3-20260420","doi-asserted-by":"crossref","first-page":"2826","DOI":"10.1021\/acs.jproteome.9b00132","article-title":"Combining hyperpolarized real-time metabolic imaging and NMR spectroscopy to identify metabolic biomarkers in pancreatic cancer","volume":"18","author":"Dutta","year":"2019","journal-title":"J Proteome Res"},{"key":"R4-20260420","doi-asserted-by":"crossref","first-page":"2621","DOI":"10.3390\/cells10102621","article-title":"Measuring the metabolic evolution of glioblastoma throughout tumor development, regression, and recurrence with hyperpolarized magnetic resonance","volume":"10","author":"Salzillo","year":"2021","journal-title":"Cells"},{"key":"R5-20260420","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1186\/s12885-024-12151-7","article-title":"Habitat escalated adaptive therapy (HEAT): A phase 2 trial utilizing radiomic habitat-directed and genomic-adjusted radiation dose (GARD) optimization for high-grade soft tissue sarcoma","volume":"24","author":"Naghavi","year":"2024","journal-title":"BMC Cancer"},{"key":"R6-20260420","first-page":"00307","article-title":"Can an organoid recapitulate the metabolome of its parent tissue? 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