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Pediatr Radiol ; 44(2): 181-6, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24096802

ABSTRACT

BACKGROUND: The ability to lie still in an MRI scanner is essential for obtaining usable image data. To reduce motion, young children are often sedated, adding significant cost and risk. OBJECTIVE: We assessed the feasibility of using a simple and affordable behavioral desensitization program to yield high-quality brain MRI scans in sedation-free children. MATERIALS AND METHODS: 222 children (4-9.9 years), 147 with type 1 diabetes and 75 age-matched non-diabetic controls, participated in a multi-site study focused on effects of type 1 diabetes on the developing brain. T1-weighted and diffusion-weighted imaging (DWI) MRI scans were performed. All children underwent behavioral training and practice MRI sessions using either a commercial MRI simulator or an inexpensive mock scanner consisting of a toy tunnel, vibrating mat, and video player to simulate the sounds and feel of the MRI scanner. RESULTS: 205 children (92.3%), mean age 7 ± 1.7 years had high-quality T1-W scans and 174 (78.4%) had high-quality diffusion-weighted scans after the first scan session. With a second scan session, success rates were 100% and 92.5% for T1-and diffusion-weighted scans, respectively. Success rates did not differ between children with type 1 diabetes and children without diabetes, or between centers using a commercial MRI scan simulator and those using the inexpensive mock scanner. CONCLUSION: Behavioral training can lead to a high success rate for obtaining high-quality T1-and diffusion-weighted brain images from a young population without sedation.


Subject(s)
Artifacts , Brain/pathology , Desensitization, Psychologic/methods , Diabetes Mellitus, Type 1/pathology , Diffusion Magnetic Resonance Imaging/methods , Diffusion Magnetic Resonance Imaging/psychology , Image Enhancement/methods , Adolescent , Child , Child, Preschool , Conscious Sedation , Feasibility Studies , Female , Humans , Male , Motion , Reproducibility of Results , Sensitivity and Specificity , United States
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