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Updated: Sep 2, 2026

Comprehensive Endovascular and Open Surgical Management of Cerebral Arteriovenous Malformations
Published on: October 20, 2017
Advancements in Pediatric Moyamoya Disease: A Critical Review of Surgical Decision-Making, Outcomes, and Future
1Network of Neurosurgery and Artificial Intelligence (NONAI), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Background:
Pediatric moyamoya disease (MMD) is a progressive steno-occlusive arteriopathy that carries a high risk of recurrent ischemic stroke and neurocognitive decline if left untreated, with a more aggressive course in children under 4 years of age than in older children or adults.
Methods:
This narrative review critically synthesizes original clinical studies published between 2018 and 2026 to provide an evidence-based surgical decision-making framework. A literature search of PubMed/MEDLINE was performed, including only original articles (case series >10 patients, cohort studies) reporting surgical outcomes in children ≤18 years with pediatric moyamoya disease or moyamoya syndrome.
Results:
In large contemporary series, indirect revascularization achieves postoperative stroke-free survival rates exceeding 95% and 20-year event-free survival of 97% in young children. Direct or combined bypass provides superior angiographic revascularization but does not significantly lower the long-term stroke rate compared with indirect techniques. Preoperative assessment of cerebrovascular reactivity using blood oxygen level-dependent magnetic resonance imaging or SPECT with acetazolamide is the strongest predictor of surgical benefit. Preliminary machine learning models using intraoperative arterial blood pressure waveforms can predict postoperative neurological events with an area under the receiver operating characteristic curve of 0.738.
Conclusions:
A four-step surgical algorithm based on age, hemodynamic status, and vascular anatomy is proposed. Priorities for future research include an international pediatric registry, validation of artificial intelligence-based risk stratification tools, and randomized comparisons of direct versus indirect bypass in children aged 4-8 years.
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