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Comparative evaluation of intracranial vertebral artery calcification detection: CT vs. susceptibility-weighted
Hon-Man Liu1, Yen-Heng Lin2, Wei-Lung Tseng3
1Department of Medical Imaging, Fu-Jen Catholic University Hospital, Fu-Jen Catholic University, New Taipei City, Taiwan; Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan.
Background And Aims:
Traditionally, computed tomography (CT) has been more sensitive in detecting calcification compared to conventional magnetic resonance (MR) imaging. This study aims to compare the efficacy of susceptibility-weighted imaging (SWI), an advanced MR technique, with CT in detecting calcification in the intracranial vertebral artery.
Methods:
This retrospective study reviewed brain SWI imaging of patients from January 2021 to March 2022. Inclusion criteria encompassed patients who underwent both SWI and brain CT within a 3-month interval. Exclusion criteria included poor imaging quality, insufficient or incomplete studies, and lack of MRA data. Vessel wall calcification was defined as hypointensity on SWI and hyper-attenuation (≥130 HU) on CT. We compared the incidence of calcification detected by CT with hypointensity on SWI at corresponding anatomical locations.
Results:
A total of 817 patients (age range: 25-90 years, mean age: 62.1 ± 15.1 years) were included in the study. Of these, 393 (48.1 %) were females, 329 (40.3 %) had hypertension, and 242 (29.6 %) had diabetes. CT detected calcification in 613 intracranial vertebral arteries. SWI depicted hypointensity in 604 (98.5 %) of the CT positive cases. 21 subjects showed calcification on CT but no hypointensity on SWI, while 12 subjects had SWI hypointensity but no evidence of calcification on CT.
Conclusion:
This study demonstrates that SWI is not inferior to CT in detecting intracranial vertebral artery wall calcification. SWI is possibly better than CT in detecting non-stenotic atherosclerosis, mural hematoma or dissection. The high concordance between SWI and CT, coupled with SWI's ability to potentially detect additional vascular pathologies, shows promise as a radiation-free, comprehensive imaging modality.
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