Alavi–Carlsen Calcification Score (ACCS): A Simple Measure of Global Cardiac Atherosclerosis Burden
Autor: | Poul Flemming Høilund-Carlsen, Lars Edenbrandt, Abass Alavi, Oke Gerke, T Werner, Armin Arbab-Zadeh, Reza Piri, Babak Saboury |
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Rok vydání: | 2021 |
Předmět: |
Artificial intelligence
Medicine (General) medicine.medical_specialty PET/CT Clinical Biochemistry Standardized uptake value heart Imaging R5-920 medicine.artery Internal medicine sodium fluoride medicine score Multislice Aorta Coronary atherosclerosis PET-CT calcium business.industry Sodium fluoride Score imaging Heart Atherosclerosis Microcalcification artificial intelligence medicine.disease microcalcification Coronary arteries aorta medicine.anatomical_structure Commentary Cardiology Calcium atherosclerosis medicine.symptom business Calcification |
Zdroj: | Diagnostics, Vol 11, Iss 1421, p 1421 (2021) Saboury, B, Edenbrandt, L, Piri, R, Gerke, O, Werner, T, Arbab-Zadeh, A, Alavi, A & Høilund-Carlsen, P F 2021, ' Alavi–carlsen calcification score (Accs) : A simple measure of global cardiac atherosclerosis burden ', Diagnostics, vol. 11, no. 8, 1421 . https://doi.org/10.3390/diagnostics11081421 Diagnostics |
ISSN: | 2075-4418 |
Popis: | Multislice cardiac CT characterizes late stage macrocalcification in epicardial arteries as op-posed to PET/CT, which mirrors early phase arterial wall changes in epicardial and transmural coronary arteries. With regard to tracer, there has been a shift from using mainly18 F-fluorodeoxyglucose (FDG), indicating inflammation, to applying predominantly18 F-sodium fluoride (NaF) due to its high affinity for arterial wall microcalcification and more consistent association with cardiovascular risk factors. To make NaF-PET/CT an indispensable adjunct to clinical assessment of cardiac atherosclerosis, the Alavi–Carlsen Calcification Score (ACCS) has been proposed. It constitutes a global assessment of cardiac atherosclerosis burden in the individual patient, supported by an artificial intelligence (AI)-based approach for fast observer-independent segmentation. Common measures for characterizing epicardial coronary atherosclerosis by NaF-PET/CT as the maximum standardized uptake value (SUV) or target-to-background ratio are more versatile, error prone, and less reproducible than the ACCS, which equals the average cardiac SUV. The AI-based approach ensures a quick and easy delineation of the entire heart in 3D to obtain the ACCS expressing ongoing global cardiac atherosclerosis, even before it gives rise to CT-detectable coronary calcification. The quantification of global cardiac atherosclerotic burden by the ACCS is suited for management triage and monitoring of disease progression with and without intervention. |
Databáze: | OpenAIRE |
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