A Systematic Review Comparing Digital Subtraction Angiogram With Magnetic Resonance Angiogram Studies in Demonstrating the Angioarchitecture of Cerebral Arteriovenous Malformations

Autor: Aishwarya, Raman, Manish, Uprety, Maria Jose, Calero, Maria Resah B, Villanueva, Narges, Joshaghani, Nicole, Villa, Omar, Badla, Raman, Goit, Samia E, Saddik, Sarah N, Dawood, Ahmad M, Rabih, Ahmad, Mohammed, Tharun Yadhav, Selvamani, Jihan, Mostafa
Rok vydání: 2022
Předmět:
Zdroj: Cureus.
ISSN: 2168-8184
Popis: In brain arteriovenous malformations (AVMs), there is mismatched communication between arteries and veins, causing a nidal bed between them. This systematic review explores whether a magnetic resonance angiogram (MRA) can be used as a diagnostic imaging tool instead of a digital subtraction angiogram (DSA). Utilizing PubMed, Cochrane, and Google Scholar, as well as the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for article selection, a literature search was conducted over the past five years. Eleven studies were included, with a majority of the articles suggesting a potential for consideration. Arterial spin labeling (ASL) versus time-of-flight (TOF) scans was a comparison study, in addition to the study on pseudo-continuous arterial spin labeling (pc-ASL), which proved its high sensitivity in comparison with DSA scans. Other studies included quantitative magnetic resonance angiogram (Q-MRA) measuring the blood flow and susceptibility weighted imaging (SWI) modality. Although promising, digital subtraction angiogram (DSA) scans have diagnostic superiority. In addition, articles discussed follow-up magnetic resonance angiogram (MRA) scans after surgery. Overall, digital subtraction angiogram remains the gold standard due to its superior spatial resolution and hemodynamic properties; these are the key limitations of magnetic resonance studies. MRA has demonstrated its ability to reproduce high-quality diagnostic images for arteriovenous malformation (AVM) angioarchitecture; however, coupled with their limitations, not many studies with large sample sizes over longer periods have been conducted, and we urge more research into it.
Databáze: OpenAIRE