Multimodal Imaging Evaluation of Vulnerability of Atherosclerotic Plaques: A Comparison of HR-VWI, OCT, and RWS

Condition(s) studied

Study summary

The primary objective of this study is to evaluate the vulnerability of intracranial and extracranial atherosclerotic plaques using HR-VWI, OCT, and RWS technologies, while exploring correlations among these three imaging techniques. Secondary objectives include: 1) Investigating the relationship between RWS and plaque progression and identifying optimal RWS predictors; 2) Further evaluating the clinical value of RWS and HR-VWI in stroke prediction through two-year clinical and HR-VWI follow-up evaluations.

Eligibility

Primary outcome measure(s)

• Diameter stenosis rate — 2024.8-2027.12
  According to the 3D TOF-MRA measurement of the lumen diameter at the narrowest part of the intracranial artery and the normal lumen diameter at the proximal end of the stenosis, the stenosis rate was calculated according to the WASID standard: diameter stenosis rate = \[1- (the diameter at the narrowest part / the normal diameter at the proximal end of the stenosis)\] × 100%
• Identify different plaque components — 2024.8-2027.12
• OCT scanning scheme and image analysis — 2024.8-2027.12
  This study utilized the ILUMIEN OPTIS system (Abbott Medical, USA) to obtain frequency-domain OCT (FD-OCT) images. The procedure was performed under general anesthesia. Patients first underwent DSA cerebral angiography, after which a 6F long sheath (Epsylar, Opti Med, USA) was placed proximal to the lesion. A distal access catheter was introduced near the target lesion, and under fluoroscopy guidance, a micro guidewire was advanced through the lesion into the normal arterial lumen distally. The Dragonfly OPTIS imaging catheter (Abbott Medical, USA) was then exchanged for standard "single-track" entry, guiding it into the target vascular lesion. A mixed solution of physiological saline and iohexol contrast agent (GE Healthcare, Cork, Ireland), with a 1:1 concentration, was injected via the distal access catheter. OCT images were captured using automated retraction technology during blood clearance.
• RWS — 2024.8-2027.12
  Using single-position angiographic sequences, the cardiac cycle inference algorithm and automatic frame selection algorithm were applied to identify a key frame and multiple analysis frames with high image quality distributed across different phases of the same cardiac cycle. Subsequently, vascular segments of interest were defined on the key frame, and all corresponding matching segments were obtained through keypoint matching algorithms. The sub-pixel vascular contour segmentation algorithm was then used to generate detailed vessel outlines and calculate radial diameters for all analysis frames. Based on multi-frame vascular contours and diameter data, an automatic 2D point cloud registration algorithm was employed to determine radial alignment relationships between vascular segments. Finally, relative radial deformation was calculated using these alignment relationships and diameter information to derive RWS variation curves.

Trial sites (1)

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