BACKGROUND: Automated edge detection is thought to be superior to manual edge detection in quantification of the far wall common carotid intima-media thickness (CIMT), yet published evidence making a direct comparison is not available. METHODS: Data were used from the METEOR study, a randomized placebo-controlled trial among 984 individuals showing thatrosuvastatin attenuated the rate of change of 2 year change in CIMTamong low-risk individuals with subclinical atherosclerosis. For this post hoc analysis, CIMT images of the far wall of the common carotid artery were evaluated using manual and semi-automated edge detection and reproducibility, relation to cardiovascular risk factors, rates of change over time and effects of lipid-lowering therapy were assessed. RESULTS:Reproducibility was high for both reading methods. Direction, magnitude and statistical significance of risk factor relations were similar across methods. Rate of change in CIMT in participants assigned to placebo was 0.0066 mm per year (SE: 0.0027) for manually and 0.0072 mm per year (SE: 0.0029) for semi-automatically read images. The effect of lipid-lowering therapy on CIMT changes was -0.0103 mm per year (SE: 0.0032) for manual reading and -0.0111 mm per year (SE: 0.0034) for semi-automated reading. CONCLUSION: Manual and semi-automated readings of the maximal far wall of the common CIMT images both result in high reproducibility, show similar risk factor relations, rates of change and treatment effects. Hence, choices between semi-automated and manual reading software for CIMT studies likely should be based on logistical and cost considerations rather than differences in expected data quality when the choice is made to use far wall common CIMT measurements.
RCT Entities:
BACKGROUND: Automated edge detection is thought to be superior to manual edge detection in quantification of the far wall common carotid intima-media thickness (CIMT), yet published evidence making a direct comparison is not available. METHODS: Data were used from the METEOR study, a randomized placebo-controlled trial among 984 individuals showing that rosuvastatin attenuated the rate of change of 2 year change in CIMT among low-risk individuals with subclinical atherosclerosis. For this post hoc analysis, CIMT images of the far wall of the common carotid artery were evaluated using manual and semi-automated edge detection and reproducibility, relation to cardiovascular risk factors, rates of change over time and effects of lipid-lowering therapy were assessed. RESULTS: Reproducibility was high for both reading methods. Direction, magnitude and statistical significance of risk factor relations were similar across methods. Rate of change in CIMT in participants assigned to placebo was 0.0066 mm per year (SE: 0.0027) for manually and 0.0072 mm per year (SE: 0.0029) for semi-automatically read images. The effect of lipid-lowering therapy on CIMT changes was -0.0103 mm per year (SE: 0.0032) for manual reading and -0.0111 mm per year (SE: 0.0034) for semi-automated reading. CONCLUSION: Manual and semi-automated readings of the maximal far wall of the common CIMT images both result in high reproducibility, show similar risk factor relations, rates of change and treatment effects. Hence, choices between semi-automated and manual reading software for CIMT studies likely should be based on logistical and cost considerations rather than differences in expected data quality when the choice is made to use far wall common CIMT measurements.
Authors: Matthias W Lorenz; Joseph F Polak; Maryam Kavousi; Ellisiv B Mathiesen; Henry Völzke; Tomi-Pekka Tuomainen; Dirk Sander; Matthieu Plichart; Alberico L Catapano; Christine M Robertson; Stefan Kiechl; Tatjana Rundek; Moïse Desvarieux; Lars Lind; Caroline Schmid; Pronabesh DasMahapatra; Lu Gao; Kathrin Ziegelbauer; Michiel L Bots; Simon G Thompson Journal: Lancet Date: 2012-04-27 Impact factor: 79.321
Authors: Sisir Koppaka; Irina Shklyar; Seward B Rutkove; Basil T Darras; Brian W Anthony; Craig M Zaidman; Jim S Wu Journal: J Ultrasound Med Date: 2016-07-14 Impact factor: 2.153