Clinical significance of 'periventricular collateral enhancement sign' in symptomatic moyamoya disease: A vessel wall imaging study

Autor: Jiwook Ryu, Kyung Mi Lee, Ho Geol Woo, Yuwhan Chung, Seok Keun Choi
Rok vydání: 2022
Předmět:
Zdroj: European journal of radiology. 157
ISSN: 1872-7727
Popis: Periventricular collaterals are associated with high risk of hemorrhagic stroke in adult moyamoya disease (MMD). However, the clinical significance of the periventricular collateral enhancement sign (PCES), which indicates wall enhancement of periventricular collaterals on contrast-enhanced vessel wall imaging (VWI), has yet to be determined.Thirty-seven patients with MMD with acute neurological symptoms were consecutively recruited. Periventricular collaterals including lenticulostriatal artery, thalamic artery, and choroidal artery collaterals were evaluated on digital subtraction angiography, and then PCES was detected on pre- and postcontrast VWI. First, the association between PCES and hemorrhagic presentation was evaluated using multivariate analyses. Second, two raters investigated the culprit vessels responsible for bleeding in hemorrhagic MMD using the Cohen kappa statistic.Fifteen sites of PCES on postcontrast VWI were observed in 15 patients. Multivariate analysis revealed that hemorrhagic presentation was the only independent factor for PCES (OR = 37.3, 95%CI = 3.9-113, p =.002). In patients with hemorrhagic presentation (n = 20), the identification rate of the ruptured vessel was 80% by rater 1, with excellent agreement. (inter-rater, κ = 0.86, 95%CI = 0.59-1.00; intra-rater, κ = 0.83, 95%CI = 0.50-1.00). Choroidal (50%) and thalamic artery collaterals (15%) were the most common and the second most common types of culprit vessels. Inter-rater and intra-rater reliabilities for the classification of culprit vessels were also excellent (intra-rater, κ = 0.86, 95%CI = 0.67-1.00; inter-rater, κ = 0.93, 95%CI = 0.79-1).Acute hemorrhagic stroke in MMD is independently associated with PCES on postcontrast VWI. PCES can help to detect the culprit vessels that are responsible for hemorrhage in patients with MMD.
Databáze: OpenAIRE