Name
Title | ||
|---|---|---|
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11517-019-01975-2 | Medical & Biological Engineering & Computing |
Keywords | Field | DocType |
Atherosclerosis, Stroke, Conventional cardiovascular risk, Ultrasound, Carotid intima-media thickness, 10-year risk prediction, Composite risk score | United Kingdom Prospective Diabetes Study,Receiver operating characteristic,Image based,Artificial intelligence,Cohort,Framingham Risk Score,Computer vision,Diabetes mellitus,Internal medicine,Cardiology,Stroke,Mathematics,Ultrasound | Journal |
Volume | Issue | ISSN |
57 | 7 | 0140-0118 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
16 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Narendra N Khanna | 1 | 0 | 1.01 |
| Ankush D Jamthikar | 2 | 0 | 1.01 |
| Deep Gupta | 3 | 79 | 7.62 |
| Tadashi Araki | 4 | 45 | 7.72 |
| Matteo Piga | 5 | 0 | 0.34 |
| Luca Saba | 6 | 202 | 24.44 |
| Carlo Carcassi | 7 | 0 | 0.34 |
| Andrew Nicolaides | 8 | 155 | 14.75 |
| John R. Laird | 9 | 21 | 4.23 |
| Harman S Suri | 10 | 2 | 1.85 |
| Ajay Gupta | 11 | 15 | 4.19 |
| Sophie Mavrogeni | 12 | 1 | 2.41 |
| Athanasios Protogerou | 13 | 0 | 1.35 |
| Petros P Sfikakis | 14 | 0 | 1.69 |
| George D. Kitas | 15 | 1 | 1.74 |
| Jasjit S. Suri | 16 | 1754 | 128.89 |