Carotid artery stenosis quantification: concordance analysis between radiologist and semi-automatic computer software
Luca Saba1, Roberto Sanfilippo, Roberto Montisci
1Department of Radiology, Policlinico Universitario, A.O.U. Cagliari, s.s. 554 Monserrato, Cagliari 09045, Italy. lucasaba@tiscali.it
European Journal of Radiology
|December 25, 2009
Summary
A semi-automatic computer software shows strong correlation with radiologists for carotid artery stenosis quantification. This software offers higher reproducibility in measurements compared to human analysis, aiding therapeutic decisions.
Area of Science:
- Medical Imaging
- Radiology
- Cardiovascular Disease
Background:
- Carotid artery stenosis quantification is crucial for therapeutic decisions.
- Multi-Detector-Row CT angiography (MDCTA) is a key imaging modality.
Purpose of the Study:
- To assess the concordance between a radiologist and semi-automatic software for carotid artery stenosis quantification using MDCTA.
- To evaluate the reproducibility of stenosis measurements.
Main Methods:
- Retrospective analysis of 45 patients using a 40-detector row CT scanner.
- Stenosis quantification by an experienced radiologist and dedicated software using the ECST method.
- Bland-Altman statistics and Spearman correlation were used for analysis.
Main Results:
- A strong correlation (Spearman's ρ=0.975, p<0.0001) was observed between radiologist and software measurements.
- High concordance was found for both first (Spearman's ρ=0.943, p<0.0001) and second stenosis quantification (Spearman's ρ=0.9879, p<0.0001).
Conclusions:
- There is a strong correlation between radiologist and semi-automatic software for carotid artery stenosis quantification.
- The semi-automatic software demonstrates superior reproducibility compared to radiologist measurements.
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