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Abstract #2051

Redefining Access to High-Value MRI: Results from the CAMERA MRI in Africa Needs Assessment Survey

Jinggang Jenny Ng1, Boaz Ehiogu2, Johnes Obungoloch3, Abiodun Fatade4, Mamadou Diop2,5, Henk-Jan Mutsaerts6, Daniel Alexander7, Mario Forjaz Secca8, Rita Nunes9, Patricia Figueiredo9, Matteo Figni7, Frank J Minja10, Vikas Gulani11, Andrew G Webb12, Iris Asllani13,14, Edward Chege Nganga15, Sola Adeleke16, Godwin Ogbole17, Farouk Dako1, and Udunna C Anazodo5,18
1Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 2Lawson Health Research Institute, London, ON, Canada, 3Mbarara University of Science and Technology, Mbarara, Uganda, 4Crestview Radiology Ltd, Lagos, Nigeria, 5Department of Medical Biophysics, Western University, London, ON, Canada, 6Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands, 7Department of Computer Science, University College London, London, United Kingdom, 8Central Hospital of Maputo, Maputo, Mozambique, 9Department of Bioengineering, Instituto Superior, Técnico, Universidade de Lisboa, Lisbon, Portugal, 10Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States, 11Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 12Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 13Clinical Imaging Sciences Centre, Department of Neuroscience, University of Sussex, Brighton, United Kingdom, 14Department of Biomedical Engineering, Rochester Institute of Technology, Rochester, NY, United States, 15Department of Radiology, Aga Khan University Hospital, Nairobi, Kenya, 16Department of Oncology, Guy’s & St Thomas’ Hospital, London, United Kingdom, 17Department of Radiology, University College Hospital Ibadan, Ibadan, Nigeria, 18Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada


We examined access to MRI in Sub-Saharan Africa to provide a novel framework to address MRI needs. A 68-question needs assessment survey was distributed to collaborators, radiologists and radiographers in Africa, yielding 158 unique responses. Survey responses were analyzed to provide insight into challenges and opportunities for MRI access. Geographical information systems (GIS) were applied to responses from Nigeria to model access to high-value MRI. To our knowledge, this is the first study that used GIS mapping to estimate MRI access. This novel approach can be applied to low-resource settings globally to provide a comprehensive framework to understand MRI access.

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