Optimal Prediction of Carotid Intraplaque Hemorrhage Using Clinical and Lumen Imaging Markers

AJNR. American Journal of Neuroradiology
Michael S McLaughlinJ Scott McNally

Abstract

MR imaging detects intraplaque hemorrhage with high accuracy by using the magnetization-prepared rapid acquisition of gradient echo sequence. Still, MR imaging is not readily available for all patients, and many undergo CTA instead. Our goal was to determine essential clinical and lumen imaging predictors of intraplaque hemorrhage, as indicators of its presence and clues to its pathogenesis. In this retrospective cross-sectional study, patients undergoing stroke work-up with MR imaging/MRA underwent carotid intraplaque hemorrhage imaging. We analyzed 726 carotid plaques, excluding vessels with non-carotid stroke sources (n = 420), occlusions (n = 7), or near-occlusions (n = 3). Potential carotid imaging predictors of intraplaque hemorrhage included percentage diameter and millimeter stenosis, plaque thickness, ulceration, and intraluminal thrombus. Clinical predictors were recorded, and a multivariable logistic regression model was fitted. Backward elimination was used to determine essential intraplaque hemorrhage predictors with a thresholded 2-sided P < .10. Receiver operating characteristic analysis was also performed. Predictors of carotid intraplaque hemorrhage included plaque thickness (OR = 2.20, P < .001), millimeter st...Continue Reading

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Citations

Apr 23, 2016·AJNR. American Journal of Neuroradiology·L B EisenmengerJ S McNally
Jan 12, 2017·The International Journal of Cardiovascular Imaging·Parham EshtehardiHabib Samady
May 5, 2017·Magnetic Resonance Insights·J Scott McNallyDennis L Parker
Feb 8, 2020·AJNR. American Journal of Neuroradiology·H Baradaran, A Gupta
Feb 6, 2017·Insights Into Imaging·Vasileios RafailidisAfroditi Charitanti-Kouridou
Feb 16, 2021·Journal of the American Heart Association·Hediyeh BaradaranJoseph Scott McNally

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