Computer based classification of carotid arterial disease: a prospective assessment.
A minicomputer based pattern recognition method has been used to prospectively classify the category of disease involvement of 105 carotid arteries. The system utilized spectral patterns obtained from a combined B-mode/pulsed Doppler unit. All decisions are based upon comparison of an unknown, averaged waveform with a series of vessels with known severity of disease. The variability in the computer decision as compared to arteriography is discussed.
D000328:Adult; D001157:Arterial Occlusive Diseases / Q000145:classification / Q000175:diagnosis / Q000000981:diagnostic imaging; D002340:Carotid Artery Diseases / Q000145:classification* / Q000175:diagnosis / Q000000981:diagnostic imaging; D002343:Carotid Artery, Internal / Q000000981:diagnostic imaging; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D008875:Middle Aged; D011446:Prospective Studies; D011859:Radiography; D014463:Ultrasonography