Why the study?
Carotid intima sublayer thickness is reported to be a better marker of atherosclerosis than cIMT, but to date its evaluation is achieved by manual measures usually derived from high-frequency transducers.
Does a fully automated method accurately measure carotid intima thickness compared to manual measurement in ultrasound images?
Does a fully automated method accurately measure carotid intima thickness compared to manual measurement in ultrasound images?
A fully automated method can accurately measure carotid intima thickness from standard 10 MHz ultrasound images, correlating well with manual specialist measurements.
Answers are grounded in this paper and cite their sources.
cIT may refine atherosclerosis risk assessment beyond cIMT; leaves open automated measurement validation before clinical adoption.
Atherosclerotic cardiovascular disease is the leading cause of death in the world. Ultrasound evaluation of carotid intima-media thickness (cIMT) is a fast and non-invasive approach widely used to estimate cardiovascular risk. However, evaluation of the faint carotid intima sublayer thickness (cIT) is reported to be a better marker of atherosclerosis and adverse cardiovascular risk than cIMT. To date, evaluation of cIT is achieved by manual measures of carotid wall images usually derived from transducers set at high frequency (22 MHz-25 MHz). Based on mathematical morphology techniques, we developed a fully automated method for measuring the thickness of cIT. The numbers generated by the automatic method were compared to the average values generated by manual measurements performed by two specialists evaluating 120 high-resolution carotid images from 80 individuals. Carotid images were obtained with an ultrasound transducer set at 10 MHz, which is easily available in clinical practice. The cIT measurements obtained by the automatic and manual methods showed a particularly good correlation (r = 0.82). This result is quite significant, considering the complexity of extracting such a faint measure in ultrasound images that may be easily obtained in routine clinical settings.
No takes yet. Share an insight, caveat, or question.
Silva et al. (2022) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: