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De Simone, Matteo

0000-0001-8172-6134

Mayo Clinic

Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Via S. Allende, 84081 Baronissi, Italy.

Citations 1

Current and Future Applications of Arterial Spin Labeling MRI in Cerebral Arteriovenous Malformations
Simone, Matteo De , Fontanella, Marco Maria , Choucha, Anis , Schaller, Karl , Machi, Paolo , Bijlenga, Philippe , Kurz, Felix T. , Maria, Lucio De , De Simone, Matteo , Bijlenga, Philippe , De Maria, Lucio , Fontanella, Marco Maria , Lanzino, Giuseppe , Lövblad, Karl‐Olof

Biomedicines | March 28, 2024 | Volume: 12 | Issue: 4 | Pages: 753

10.3390/biomedicines12040753 Get It

Arterial spin labeling (ASL) has emerged as a promising noninvasive tool for the evaluation of both pediatric and adult arteriovenous malformations (AVMs). This paper reviews the advantages and challenges associated with the use of ASL in AVM assessment. An assessment of the diagnostic workup of AVMs and their variants in both adult and pediatric populations is proposed. Evaluation after treatments, whether endovascular or microsurgical, was similarly examined. ASL, with its endogenous tracer and favorable safety profile, offers functional assessment and arterial feeder identification. ASL has demonstrated strong performance in identifying feeder arteries and detecting arteriovenous shunting, although some studies report inferior performance compared with digital subtraction angiography (DSA) in delineating venous drainage. Challenges include uncertainties in sensitivity for specific AVM features. Detecting AVMs in challenging locations, such as the apical cranial convexity, is further complicated, demanding careful consideration due to the risk of underestimating total blood flow. Navigating these challenges, ASL provides a noninvasive avenue with undeniable merits, but a balanced approach considering its limitations is crucial. Larger-scale prospective studies are needed to comprehensively evaluate the diagnostic performance of ASL in AVM assessment.