Video motion analysis of a short video clip of the neck recorded with a smartphone could be used to screen for carotid artery stenosis<\/em><\/u><\/p>\n<\/h3>\n <\/b><\/p>\n <\/b><\/p>\n WEDNESDAY, Aug. 17, 2022 (HealthDay News) — A screening technique using video-based motion analysis (VMA) of a short video clip of the neck could help detect coronary artery stenosis (CAS), according to a study published online Aug. 17 in the Journal of the American Heart Association<\/em>.\n<\/p>\n \n\tCheng-Hsuan Tsai, M.D., from the National Taiwan University College of Medicine in Taipei, and colleagues prospectively enrolled 202 patients with prior carotid Doppler ultrasound data. A commercial mobile device was used to take a short 30-second video clip of the neck, which was analyzed by VMA with mathematical quantification of the amplitude of skin motion changes in a blinded manner. The VMA protocol was established in the first 40 individuals and cutoff values were defined; these values were validated in the following 162 individuals.\n<\/p>\n \n\tThe researchers found that 54 percent of the participants had ultrasound-confirmed CAS. For differentiating patients with and without CAS, the area under the curve of VMA-derived discrepancy values was excellent (area under the curve, 0.914). The best cutoff value of VMA-derived discrepancy values was 5.1 for screening for CAS, which had sensitivity and specificity of 87 and 87 percent, respectively. In different subgroups, the diagnostic accuracy was consistently high.\n<\/p>\n \n\t“Our novel noninvasive and noncontact VMA detection technique could accurately detect CAS and may be applied in future CAS screening,” the authors write.\n<\/p>\n \n\tTwo authors cofounded a startup company, Pulxion, to translate research work into clinical solutions.\n<\/p>\n