Objective Methods to Assess Aorto-Iliac Calcifications: A Systematic Review.
Anna FornasariSalomé KuntzChiara MartiniPaolo PeriniElisa CabriniAntonio FreyrieAnne LejayNabil ChakféPublished in: Diagnostics (Basel, Switzerland) (2024)
Vascular calcifications in aorto-iliac arteries are emerging as crucial risk factors for cardiovascular diseases (CVDs) with profound clinical implications. This systematic review, following PRISMA guidelines, investigated methodologies for measuring these calcifications and explored their correlation with CVDs and clinical outcomes. Out of 698 publications, 11 studies met the inclusion criteria. In total, 7 studies utilized manual methods, while 4 studies utilized automated technologies, including artificial intelligence and deep learning for image analyses. Age, systolic blood pressure, serum calcium, and lipoprotein(a) levels were found to be independent risk factors for aortic calcification. Mortality from CVDs was correlated with abdominal aorta calcification. Patients requiring reintervention after endovascular recanalization exhibited a significantly higher volume of calcification in their iliac arteries. Conclusions: This review reveals a diverse landscape of measurement methods for aorto-iliac calcifications; however, they lack a standardized reproducibility assessment. Automatic methods employing artificial intelligence appear to offer broader applicability and are less time-consuming. Assessment of calcium scoring could be routinely employed during preoperative workups for risk stratification and detailed surgical planning. Additionally, its correlation with clinical outcomes could be useful in predicting the risk of reinterventions and amputations.
Keyphrases
- artificial intelligence
- deep learning
- machine learning
- endovascular treatment
- blood pressure
- big data
- chronic kidney disease
- end stage renal disease
- systematic review
- convolutional neural network
- case control
- cardiovascular disease
- aortic valve
- newly diagnosed
- left ventricular
- ejection fraction
- pulmonary artery
- heart failure
- type diabetes
- coronary artery
- coronary artery disease
- heart rate
- patient reported outcomes
- tyrosine kinase
- patients undergoing
- insulin resistance
- patient reported
- middle cerebral artery
- peritoneal dialysis
- cardiovascular risk factors
- single molecule
- atrial fibrillation