Ivy Sign: Usefulness in Diagnosis and Prognosis Prediction of Moyamoya Disease.

Cerebral blood flow Ivy sign Moyamoya disease Postoperative collateral formation

Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
11 Nov 2023
Historique:
received: 22 09 2023
accepted: 07 11 2023
pubmed: 13 11 2023
medline: 13 11 2023
entrez: 12 11 2023
Statut: aheadofprint

Résumé

Moyamoya disease (MMD) cannot be found commonly as a rare type compared with other vascular disease, such as aneurysm. However, it cannot be ignored for its high fatality and disability rates. In addition, exact pathogenesis study of this disease is still on the way. The ivy sign is always observed in MMD, but the clinical importance of this sign in MMD isn't clearly known. The main purpose of this research was to specifically investigate the clinical significance. In this retrospective cohort study to gather the baseline clinical and imaging study, the patients with MMD were hospitalized from January 2016 to 2020. In the analysis, univariate and multivariate logistic regression was used to testify whether ivy sign was independently associated with MMD characteristics including cerebrovascular morphology, cerebral hemodynamics, cerebrovascular events, and postoperative collateral formation (PCF). We included 156 patients with 312 hemispheres. As for the result of multivariate logistic regression analysis, we could discover a fact that ivy sign was tightly connected to the Suzuki stage ≥IV (odds ratio [OR], 1.386; 95% confidence interval [CI], 1.055-1.822; P = 0.019), cerebral blood flow (CBF) decreased type (OR, 2.330; 95% CI, 1.733-3.133; P = 0.000), age acted as a protective factor for CBF (OR, 0.966; 95% CI, 0.946-0.986; P = 0.001), the elder was more likely associated with decreased CBF. Ivy sign also played a significant role in ischemic cerebrovascular events (OR, 5.653; 95% CI, 3.092-10.336; P = 0.003), their remarkable connection could be seen on the study. We could also find that ivy sign was closely connected to the good PCF (OR, 2.830; 95% CI, 1.329-6.027; P = 0.007), and we couldn't ignore the fact that age was associated with good PCF as well (OR, 0.933; 95% CI, 0.882-0.987; P = 0.015). We could be more aware of the connection between ivy sign and Moyamoya disease from this study in order to implement diagnosis, treatment, and prognosis more efficiently.

Sections du résumé

BACKGROUND BACKGROUND
Moyamoya disease (MMD) cannot be found commonly as a rare type compared with other vascular disease, such as aneurysm. However, it cannot be ignored for its high fatality and disability rates. In addition, exact pathogenesis study of this disease is still on the way. The ivy sign is always observed in MMD, but the clinical importance of this sign in MMD isn't clearly known. The main purpose of this research was to specifically investigate the clinical significance.
METHODS METHODS
In this retrospective cohort study to gather the baseline clinical and imaging study, the patients with MMD were hospitalized from January 2016 to 2020. In the analysis, univariate and multivariate logistic regression was used to testify whether ivy sign was independently associated with MMD characteristics including cerebrovascular morphology, cerebral hemodynamics, cerebrovascular events, and postoperative collateral formation (PCF).
RESULTS RESULTS
We included 156 patients with 312 hemispheres. As for the result of multivariate logistic regression analysis, we could discover a fact that ivy sign was tightly connected to the Suzuki stage ≥IV (odds ratio [OR], 1.386; 95% confidence interval [CI], 1.055-1.822; P = 0.019), cerebral blood flow (CBF) decreased type (OR, 2.330; 95% CI, 1.733-3.133; P = 0.000), age acted as a protective factor for CBF (OR, 0.966; 95% CI, 0.946-0.986; P = 0.001), the elder was more likely associated with decreased CBF. Ivy sign also played a significant role in ischemic cerebrovascular events (OR, 5.653; 95% CI, 3.092-10.336; P = 0.003), their remarkable connection could be seen on the study. We could also find that ivy sign was closely connected to the good PCF (OR, 2.830; 95% CI, 1.329-6.027; P = 0.007), and we couldn't ignore the fact that age was associated with good PCF as well (OR, 0.933; 95% CI, 0.882-0.987; P = 0.015).
DISCUSSION CONCLUSIONS
We could be more aware of the connection between ivy sign and Moyamoya disease from this study in order to implement diagnosis, treatment, and prognosis more efficiently.

Identifiants

pubmed: 37952879
pii: S1878-8750(23)01592-9
doi: 10.1016/j.wneu.2023.11.029
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Yue Li (Y)

Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Wanjiang Li (W)

Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Chunchao Xia (C)

Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Jing Tan (J)

Department of Epidemiology, Sichuan University, Chengdu, Sichuan, China.

Anqi Xiao (A)

Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Haogeng Sun (H)

Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Yi Liu (Y)

Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, Sichuan, China. Electronic address: liuyimmd@126.com.

Classifications MeSH