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Accelerated Measurement of Carotid Plaque Volume Using Artificial Intelligence Enhanced 3D Ultrasound
Alison Shirley Phair1, Joao Carreira2, Frank Lee Bowling1
1Division of Cardiovascular Sciences, University of Manchester, Manchester Academic Health Science, Manchester University NHS Foundation Trust, Manchester, UK; Manchester Vascular Centre, Manchester Academic Vascular Research and Innovation Centre (MAVRIC), Manchester University NHS Foundation Trust, Manchester, UK.
Artificial intelligence (AI) software for carotid plaque volume (CPV) measurement is accurate and reproducible. This AI-derived auto-CPV significantly reduces analysis time compared to manual methods, improving clinical utility.
Area of Science:
- Cardiovascular Imaging
- Medical Artificial Intelligence
- Stroke Prevention
Background:
- Carotid plaque volume (CPV) measured by 3D ultrasound is a potential stroke predictor.
- Current manual analysis of CPV is time-consuming, limiting clinical application.
- This study evaluates an AI-driven semiautomatic software for CPV measurement.
Purpose of the Study:
- To assess the accuracy and reproducibility of AI-derived semiautomatic CPV (auto-CPV) measurement.
- To compare the time efficiency of auto-CPV with manual planimetry.
- To determine the clinical utility of auto-CPV in large-scale studies.
Main Methods:
- 3D ultrasound images from 121 individuals were analyzed for auto-CPV by two blinded operators.
- Endarterectomy specimen volumes served as the gold standard for comparison.
- Inter-rater, intra-rater agreement, accuracy, and measurement times were evaluated.
Main Results:
- Auto-CPV showed strong agreement with surgical plaque volumes (ICC=0.91).
- Low interobserver (ICC=0.90) and intraobserver (ICC=0.95) error rates were observed.
- Auto-CPV measurement was 43% faster than manual planimetry (5:39 vs. 13:05 minutes).
Conclusions:
- AI-derived auto-CPV is an accurate and reproducible method for measuring carotid plaque volume.
- The significant time savings enhance the feasibility of using CPV in clinical practice and research.
- Auto-CPV can facilitate large population studies for risk stratification and treatment response assessment.
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