Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0

التفاصيل البيبلوغرافية
العنوان: Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0
المؤلفون: Athanasios Protogerou, Jasjit S. Suri, Narendra N. Khanna, Luca Saba, Carlo Carcassi, John R. Laird, Sophie Mavrogeni, Matteo Piga, Tadashi Araki, Deep Gupta, Ajay Gupta, Andrew N. Nicolaides, George D. Kitas, Petros P. Sfikakis, Harman S. Suri, Ankush D Jamthikar
المصدر: Medical & Biological Engineering & Computing. 57:1553-1566
بيانات النشر: Springer Science and Business Media LLC, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Male, medicine.medical_specialty, United Kingdom Prospective Diabetes Study, Carotid arteries, 0206 medical engineering, Biomedical Engineering, 02 engineering and technology, Carotid Intima-Media Thickness, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Asian People, Risk Factors, Internal medicine, Diabetes mellitus, Image Processing, Computer-Assisted, medicine, Humans, Carotid Stenosis, Stroke, Aged, Ultrasonography, Aged, 80 and over, Framingham Risk Score, Receiver operating characteristic, business.industry, Ultrasound, Middle Aged, medicine.disease, 020601 biomedical engineering, Computer Science Applications, Carotid Arteries, ROC Curve, Cardiovascular Diseases, Cohort, Cardiology, Female, business
الوصف: Today, the 10-year cardiovascular risk largely relies on conventional cardiovascular risk factors (CCVRFs) and suffers from the effect of atherosclerotic wall changes. In this study, we present a novel risk calculator AtheroEdge Composite Risk Score (AECRS1.0), designed by fusing CCVRF with ultrasound image-based phenotypes. Ten-year risk was computed using the Framingham Risk Score (FRS), United Kingdom Prospective Diabetes Study 56 (UKPDS56), UKPDS60, Reynolds Risk Score (RRS), and pooled composite risk (PCR) score. AECRS1.0 was computed by measuring the 10-year five carotid phenotypes such as IMT (ave., max., min.), IMT variability, and total plaque area (TPA) by fusing eight CCVRFs and then compositing them. AECRS1.0 was then benchmarked against the five conventional cardiovascular risk calculators by computing the receiver operating characteristics (ROC) and area under curve (AUC) values with a 95% CI. Two hundred four IRB-approved Japanese patients' left/right common carotid arteries (407 ultrasound scans) were collected with a mean age of 69 ± 11 years. The calculators gave the following AUC: FRS, 0.615; UKPDS56, 0.576; UKPDS60, 0.580; RRS, 0.590; PCRS, 0.613; and AECRS1.0, 0.990. When fusing CCVRF, TPA reported the highest AUC of 0.81. The patients were risk-stratified into low, moderate, and high risk using the standardized thresholds. The AECRS1.0 demonstrated the best performance on a Japanese diabetes cohort when compared with five conventional calculators. Graphical abstract AECRS1.0: Carotid ultrasound image phenotype-based 10-year cardiovascular risk calculator. The figure provides brief overview of the proposed carotid image phenotype-based 10-year cardiovascular risk calculator called AECRS1.0. AECRS1.0 was also benchmarked against five conventional cardiovascular risk calculators (Framingham Risk Score (FRS), United Kingdom Prospective Diabetes Study 56 (UKPDS56), UKPDS60, Reynolds Risk Score (RRS), and pooled composite risk (PCR) score).
تدمد: 1741-0444
0140-0118
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80cd8b6cbce1784835da7a480934187c
https://doi.org/10.1007/s11517-019-01975-2
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....80cd8b6cbce1784835da7a480934187c
قاعدة البيانات: OpenAIRE