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J Vasc Res ; 61(3): 122-128, 2024.
Article in English | MEDLINE | ID: mdl-38547846

ABSTRACT

INTRODUCTION: We aimed to compare conventional vessel wall MR imaging techniques and quantitative susceptibility mapping (QSM) to determine the optimal sequence for detecting carotid artery calcification. METHODS: Twenty-two patients who underwent carotid vessel wall MR imaging and neck CT were enrolled. Four slices of 6-mm sections from the bilateral internal carotid bifurcation were subdivided into 4 segments according to clock position (0-3, 3-6, 6-9, and 9-12) and assessed for calcification. Two blinded radiologists independently reviewed a total of 704 segments and scored the likelihood of calcification using a 5-point scale on spin-echo imaging, FLASH, and QSM. The observer performance for detecting calcification was evaluated by a multireader, multiple-case receiver operating characteristic study. Weighted κ statistics were calculated to assess interobserver agreement. RESULTS: QSM had a mean area under the receiver operating characteristic curve of 0.85, which was significantly higher than that of any other sequence (p < 0.01) and showed substantial interreader agreement (κ = 0.68). A segment with a score of 3-5 was defined as positive, and a segment with a score of 1-2 was defined as negative; the sensitivity and specificity of QSM were 0.75 and 0.87, respectively. CONCLUSION: QSM was the most reliable MR sequence for the detection of plaque calcification.


Subject(s)
Carotid Artery Diseases , Observer Variation , Plaque, Atherosclerotic , Predictive Value of Tests , Vascular Calcification , Humans , Vascular Calcification/diagnostic imaging , Vascular Calcification/pathology , Female , Male , Aged , Middle Aged , Carotid Artery Diseases/diagnostic imaging , Carotid Artery Diseases/pathology , Reproducibility of Results , Magnetic Resonance Angiography , Retrospective Studies , Aged, 80 and over , Computed Tomography Angiography , Carotid Artery, Internal/diagnostic imaging , Carotid Artery, Internal/pathology , Magnetic Resonance Imaging
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