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Quantitative Assessment of Hemodynamics Associated With Embolization Degree in Brain Arteriovenous Malformations.
You, Wei; Meng, Xiangyu; Chen, Ting; Ye, Wanxing; Wang, Yanwen; Lv, Jian; Li, Yuanjie; Sui, Yutong; Zhang, Yifan; Gong, Wentao; Sun, Yong; Jin, Hengwei; Li, Youxiang.
Afiliação
  • You W; Department of Neurosurgery, Beijing Tiantan Hospital and Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Meng X; Department of Neurointerventional Engineering and Technology (NO: BG0287), Beijing Engineering Research Center, Beijing, China.
  • Chen T; Department of Neurosurgery, The First Hospital, Hebei Medical University, Shijiazhuang, China.
  • Ye W; School of Biomedical Engineering, Capital Medical University, Beijing, China.
  • Wang Y; China National Clinical Research Center for Neurological Diseases, Beijing Hanalytics Artificial Intelligence Research Center for Neurological Disorders, Beijing, China.
  • Lv J; China National Clinical Research Center for Neurological Diseases, Beijing Hanalytics Artificial Intelligence Research Center for Neurological Disorders, Beijing, China.
  • Li Y; Department of Neurosurgery, Beijing Tiantan Hospital and Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Sui Y; Department of Neurointerventional Engineering and Technology (NO: BG0287), Beijing Engineering Research Center, Beijing, China.
  • Zhang Y; China National Clinical Research Center for Neurological Diseases, Beijing Hanalytics Artificial Intelligence Research Center for Neurological Disorders, Beijing, China.
  • Gong W; China National Clinical Research Center for Neurological Diseases, Beijing Hanalytics Artificial Intelligence Research Center for Neurological Disorders, Beijing, China.
  • Sun Y; China National Clinical Research Center for Neurological Diseases, Beijing Hanalytics Artificial Intelligence Research Center for Neurological Disorders, Beijing, China.
  • Jin H; Department of Interventional Neuroradiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou City, Henan, China.
  • Li Y; Department of Neurosurgery, The First People's Hospital of Lianyungang, Affiliated Hospital of Kangda College of Nanjing Medical University, Lianyungang, China.
Neurosurgery ; 2024 Feb 23.
Article em En | MEDLINE | ID: mdl-38391200
ABSTRACT
BACKGROUND AND

OBJECTIVES:

Grading systems, including the novel brain arteriovenous malformation endovascular grading scale (NBAVMES) and arteriovenous malformation embocure score (AVMES), predict embolization outcomes based on arteriovenous malformation (AVM) morphological features. The influence of hemodynamics on embolization outcomes remains unexplored. In this study, we investigated the relationship between hemodynamics and embolization outcomes.

METHODS:

We conducted a retrospective study of 99 consecutive patients who underwent transarterial embolization at our institution between 2012 and 2018. Hemodynamic features of AVMs were derived from pre-embolization digital subtraction angiography sequences using quantitative digital subtraction angiography. Multivariate logistic regression analysis was performed to determine the significant factors associated with embolization outcomes.

RESULTS:

Complete embolization (CE) was achieved in 17 (17.2%) patients, and near-complete embolization was achieved in 18 (18.2%) patients. A slower transnidal relative velocity (TRV, odds ratio [OR] = 0.71, P = .002) was significantly associated with CE. Moreover, higher stasis index of the drainage vein (OR = 16.53, P = .023), shorter transnidal time (OR = 0.15, P = .013), and slower TRV (OR = 0.9, P = .049) were significantly associated with complete or near-complete embolization (C/nCE). The area under the receiver operating characteristic curve for predicting CE was 0.87 for TRV, 0.72 for NBAVMES scores (ρ = 0.287, P = .004), and 0.76 for AVMES scores. The area under the receiver operating characteristic curve for predicting C/nCE was 0.77 for TRV, 0.61 for NBAVMES scores, and 0.75 for AVMES scores. Significant Spearman correlation was observed between TRV and NBAVMES scores and AVMES scores (ρ = 0.512, P < .001).

CONCLUSION:

Preoperative hemodynamic factors have the potential to predict the outcomes of AVM embolization. A higher stasis index of the drainage vein, slower TRV, and shorter transnidal time may indicate a moderate blood flow status or favorable AVM characteristics that can potentially facilitate embolization.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Neurosurgery Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Neurosurgery Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China