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Author George, U. ♦ Jolapara, M. ♦ Kesavadas, C. ♦ Gupta, A. K.
Source Sree Chitra Tirunal Institute for Medical Sciences & Technology
Content type Text
Publisher Neurology India
File Format PDF
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health ♦ Diseases
Subject Domain (in MeSH) Diagnosis ♦ Analytical, Diagnostic and Therapeutic Techniques and Equipment
Subject Keyword Radiology
Abstract Background: Digital subtraction angiography (DSA) remains the gold standard in the evaluation of arteriovenous malformations (AVMs). Susceptibility-weighted imaging (SWI), a relatively new magnetic resonance imaging (MRI) technique, exploits the magnetic susceptibility differences of various tissues, such as blood, iron and calcification. Earlier studies have shown that the magnitude and phase information of SWI offers improved sensitivity, revealing low-flow vascular malformations that are invisible on conventional gradient-echo (GRE) sequences. Aim: To evaluate the imaging appearance of AVMs on SWI. Materials and Methods: In this retrospective study, the appearance of the various components (feeding artery, nidus, and draining veins) of AVMs on the phase, magnitude, and minimal intensity projection (minIP) images of SWI were analyzed in 14 patients with AVM and compared with conventional sequences. Results: Detection and delineation of various components of AVMs was best achieved in the magnitude images. Although minIP was most effective in detecting hemorrhage and calcification, it was the magnitude image that could separate the hemorrhagic and calcified component in the nidus from the remaining nidus. The minIP was less effective in detecting the AVM components, especially nidus and draining vein, whereas conspicuity was poor with the phase images. Conclusion: The magnitude images of the SWI help in differentiating the different components of AVM and also helps in differentiating nidus from hemorrhage and calcification.
Education Level UG and PG
Learning Resource Type Article
Educational Framework Medical Council of India (MCI)
Journal NEUROLOGY INDIA
Volume Number 58
Issue Number 4
Page Count 7
Starting Page 608
Ending Page 614