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Microsurgical Clip Obliteration of Middle Cerebral Aneurysm Using Intraoperative Flow Assessment
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Meandering flow void around the splenium in moyamoya disease.
Takeshi Mikami1,2, Tomoyoshi Kuribara1,2, Katsuya Komatsu1,2
1a Department of Neurosurgery , Sapporo Medical University , Sapporo , Japan.
Neurological Research
|March 11, 2017
Summary
Flow voids around the splenium (SFVs) on T2-weighted MRI can help diagnose moyamoya disease. A higher number of SFVs indicates moyamoya disease and is linked to disease progression.
Area of Science:
- Neurology
- Radiology
- Vascular Imaging
Background:
- Moyamoya disease is a rare cerebrovascular disorder characterized by progressive stenosis of the internal carotid arteries.
- Collateral circulation, including flow voids around the splenium (SFVs), is a hallmark of moyamoya disease.
- Conventional T2-weighted MRI can visualize SFVs, suggesting their diagnostic potential.
Purpose of the Study:
- To evaluate the diagnostic value of SFVs in patients with moyamoya disease.
- To investigate the pathophysiology and clinical associations of SFVs.
- To establish a quantitative measure for SFV-based diagnosis.
Main Methods:
- A total of 65 moyamoya disease patients were analyzed, with SFV counts assessed bilaterally.
- SFV counts were compared between moyamoya disease patients, controls, and atherosclerotic disease patients.
- Receiver operating characteristic (ROC) curve analysis determined the diagnostic cut-off for SFVs.
Main Results:
- Moyamoya disease patients exhibited significantly higher mean SFV counts than control or atherosclerotic disease groups.
- An SFV count of 2.25 was identified as the optimal cut-off for diagnosing moyamoya disease via ROC analysis.
- Higher SFV counts correlated with increased age, basal ganglia flow voids, and poorer MRA scores.
Conclusions:
- The number of SFV curves on T2-weighted imaging is a valuable metric for confirming moyamoya disease diagnosis.
- An increased number of SFVs is associated with patient age and disease progression.
- SFV analysis offers a non-invasive method to support moyamoya disease diagnosis.
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