Sonic detection system for cervical and intracranial vascular disease

A sonic analysis system was developed for the detection of cervical and intracranial vascular disease (CVD). In this study, sound signals detected through the patient's forehead were analyzed using a short-time Fourier transformation method, and data were evaluated according to the intensity of spectra. A total of 49 patients with CVD and 34 control subjects were studied and classified into four grades according to the intensity of the spectra. The true positive rate was 83.7% in patients with CVD, and the true negative rate was 94.1% in the control group. The sensitivity and specificity of this analysis system were 83.7% and 5.9%, respectively. The true positive rates for cerebral stenosis/occlusion, cerebral aneurysm, and arteriovenous malformation/fistula were 85.7%, 73.7%, and 100%, respectively. The future goal is clinical application as a mass-screening test for brain disease. This system shows potential for this purpose, and further development will continue.