MRI-Based Assessment of Risk for Stroke in Moyamoya Angiopathy (MARS-MMA): an MRI-based scoring system for the severity of Moyamoya Angiopathy

Abstract: Before revascularization, moyamoya patients require hemodynamic evaluation. In this study, we evaluated the scoring system Prior Infarcts, Reactivity and Angiography in Moyamoya Disease (PIRAMID). We also devised a new scoring system, MRI-Based Assessment of Risk for Stroke in Moyamoya Angiopathy (MARS-MMA), and compared the scoring systems with respect to the capability to predict impaired [15O]water PET cerebral perfusion reserve capacity (CPR). We evaluated 69 MRI, 69 DSA and 38 [15O]water PET data sets. The PIRAMID system was validated by ROC curve analysis with neurological symptomatology as a dependent variable. The components of the MARS-MMA system and their weightings were determined by binary logistic regression analysis. The comparison of PIRAMID and MARS-MMA was performed by ROC curve analysis. The PIRAMID score correlated well with the symptomatology (AUC = 0.784). The MARS-MMA system, including impaired breath-hold-fMRI, the presence of the Ivy sign and arterial wall contrast enhancement, correlated slightly better with CPR impairment than the PIRAMID system (AUC = 0.859 vs. 0.827, Akaike information criterion 140 vs. 146). For simplified clinical use, we determined three MARS-MMA grades without loss of diagnostic performance (AUC = 0.855). The entirely MRI-based MARS-MMA scoring system might be a promising tool to predict the risk of stroke

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch
• Anmerkungen: Diagnostics. - 14, 13 (2024) , 1437, ISSN: 2075-4418

Beteiligte, Orts- und Zeitangaben

• Ereignis: Veröffentlichung
• (wo): Freiburg
• (wer): Universität
• (wann): 2024
• Urheber: Zerweck, Leonie ; Roder, Constantin ; Blazhenets, Ganna ; Martus, Peter ; Thurow, Johannes Stefan ; Haas, Patrick ; Estler, Arne ; Gohla, Georg ; Ruff, Christer ; Selo, Nadja ; Würtemberger, Urs ; Khan, Nadia ; Klose, Uwe ; Ernemann, Ulrike ; Meyer, Philipp Tobias ; Hauser, Till-Karsten

Weitere Informationen

• DOI: 10.3390/diagnostics14131437
• URN: urn:nbn:de:bsz:25-freidok-2555809
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 14.08.2025, 10:46 MESZ