Development of a Web Application for the Detection of Coronary Artery Calcium from Computed Tomography
Source abstract
Abstract
Coronary atherosclerosis is the most common form of cardiovascular diseases, which represent the leading global cause of mortality in the adult population. The amount of coronary artery calcium (CAC) is a robust predictor of this disease that can be measured using the medical workstations of computed tomography (CT) equipment or specialized tools included in commercial software for DICOM viewers, which is not available for all operating systems. This manuscript presents a web application that semiautomatically quantifies the amount of coronary artery calcium (CAC) on the basis of the coronary calcium score (CS) using the Agatston technique through digital image processing. To verify the correct functioning of this web application, 30 CTCSs were analyzed by a cardiologist and compared to those of commercial software (OsiriX DICOM Viewer).All the scans were correctly classified according to the cardiovascular event risk group, with an average error in the calculation of CS of 1.9% and a Pearson correlation coefficient r = 0.9997, with potential clinical application.
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Research context
OpenAlex topics: Cardiac Imaging and Diagnostics · Advanced X-ray and CT Imaging · Radiation Dose and Imaging
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Doctorado en Ciencias de la Ingeniería, Tecnológico Nacional de México/IT de Celaya, Celaya 38010, Mexico
Departamento de Ingeniería Mecatrónica, Tecnológico Nacional de México/IT de Celaya, Celaya 38010, Mexico
Departamento de Cardiología, Centro Médico Quirúrgico, Celaya 38000, Mexico
Departamento de Ingeniería Electrónica, Tecnológico Nacional de México/IT de Celaya, Celaya 38010, Mexico
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