Navigating the Roadblocks: Advancing Neuro-Magnetic Resonance Imaging Techniques in Clinical Practice—Insights from Technologists in Saudi Arabia
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Magnetic resonance imaging (MRI) presents various challenges, including scan duration, reliability, workflow difficulties, handling complexities, and the continuous need for training. This study aimed to investigate the impediments faced by MRI technologists in implementing advanced neuro-MRI techniques at various hospitals in Saudi Arabia. METHODS: A nationwide cross-sectional survey was conducted among 216 MRI technologists in Saudi Arabia. Participants worked in facilities with operational MRI scanners. A validated online questionnaire assessed demographics, experience, training, and barriers to advanced MRI use. RESULTS: One-third of technologists were able to operate different MRI scanners, whereas a smaller proportion (approximately one-fifth) performed advanced MRI procedures. Approximately 40% could conduct advanced image processing techniques, and a similar proportion expressed confidence in handling neuroradiology imaging requests. The primary barriers to training included the absence of qualified institutions, inadequate administrative support, and time constraints. Education level was the only factor that significantly influenced training participation (P=0.030). In contrast, factors such as age, gender, region, years of experience, type of current hospital, routine MRI caseload per day, number of MRI scanners available in the hospital, and availability of advanced MRI techniques showed no significant association with receiving training. CONCLUSIONS: This study highlights significant barriers to adopting advanced neuroimaging techniques in Saudi clinical MRI settings, including limited infrastructure, inadequate training, and lack of institutional support. These challenges have contributed to underutilization and reduced confidence among technologists.
Source: World Neurosurgery
Institution: King Saud University
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,943
Award: G374948162
OpenAlex ID: W4411371538
