Zuha Hasan, Adam A Dmytriw, Susan Blaser, Prakash Muthusami
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引用次数: 0
Abstract
CNS vascular syndromes are being increasingly recognized and diagnosed in the pediatric population. Their rarity and complexity makes diagnosis challenging. These syndromes can present in a number of different ways clinically and radiologically. A systematic method of image interpretation often reveals a pattern, allowing the diagnosis to be narrowed or further testing to be directed. Although the CNS vascular appearance itself is rarely specific, additional information gleaned from imaging other systems aids in pattern recognition. We retrospectively reviewed pediatric cases of CNS vasculopathy with a confirmed diagnosis of a syndromic disorder. We recorded the predominant CNS vascular appearance in each case, and assessed imaging clues from multiple systems, including brain, orbits, skull, spine, long bones, viscera and skin. Several of these syndromes also had systemic vascular involvement, which allowed further categorization. Some imaging patterns allowed a specific diagnosis to be made. In other cases, the constellations of imaging appearances helped distinguish between clinically similar phenotypes. The imaging pattern within each pediatric CNS vascular syndrome is fairly consistent, and awareness of these syndromes and expected imaging patterns allow the radiologist to suggest further imaging or targeted genetic testing.
期刊介绍:
BJR is the international research journal of the British Institute of Radiology and is the oldest scientific journal in the field of radiology and related sciences.
Dating back to 1896, BJR’s history is radiology’s history, and the journal has featured some landmark papers such as the first description of Computed Tomography "Computerized transverse axial tomography" by Godfrey Hounsfield in 1973. A valuable historical resource, the complete BJR archive has been digitized from 1896.
Quick Facts:
- 2015 Impact Factor – 1.840
- Receipt to first decision – average of 6 weeks
- Acceptance to online publication – average of 3 weeks
- ISSN: 0007-1285
- eISSN: 1748-880X
Open Access option