Quayd Robertson, Martin Ferraro, Xiaoxi Chen, Sittaya Buathong, Carlos Rugilo, Minth Punpichet, Dittapong Songsaeng, Jiajie Tian, Utarat Kaewumporn, Jitsupa Wong, Mai-Lan Ho
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Neuroparasitic Infections: Imaging Features and Diagnostic Algorithms.
Neuroparasitic infections are caused by a variety of organisms that affect the central nervous system (CNS). Given the increasing rates of international travel, climate change, and immunosuppression, neuroparasitic diseases represent a major global health concern. Accurate and diagnosis relies on noninvasive medical imaging combined with exposure history and laboratory testing. Timely institution of appropriate therapy can drastically improve patient outcomes. This article represents an international collaboration of radiologists on multiple continents to illustrate exemplary radiologic cases and provide a broad literature review of neuroparasitic disorders. We describe the geographic distribution, life cycle, diagnostic testing, and imaging findings for 12 leading neuroparasitic infections: amoebiasis, trypanosomiasis, leishmaniasis, toxoplasmosis, paragonimiasis, neurocysticercosis, hydatidosis, sparganosis, angiostrongyliasis, gnathostomiasis, toxocariasis, and myiasis. A master flowchart is provided to distinguish these diverse entities based on clinical symptoms, geographic area, exposure history, radiologic findings, and clinical 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