Phase contrast MRI intracranial hemodynamic parameters for predicting acute mountain sickness
10.13929/j.issn.1003-3289.2025.05.003
- VernacularTitle:基于相位对比MRI颅内血流动力学参数预测急性高原反应
- Author:
Shuo SUN
1
;
Wenjia LIU
;
Hao ZHANG
;
Mingxiao WANG
;
Xiao YU
;
Lin MA
Author Information
1. 中国人民解放军医学院研究生院,北京 100853;中国人民解放军总医院第一医学中心放射诊断科,北京 100853
- Publication Type:Journal Article
- Keywords:
acute high altitude response;
hemodynamics;
magnetic resonance imaging;
prospective studies
- From:
Chinese Journal of Medical Imaging Technology
2025;41(5):706-711
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the value of phase contrast(PC)MRI intracranial hemodynamic parameters for predicting acute mountain sickness(AMS).Methods Totally 72 healthy young volunteers were prospectively recruited.Intracranial hemodynamic parameters of internal carotid artery(ICA)and internal jugular vein(IJV)were measured using PC MRI under normal breathing,as well as mild,moderate and severe Valsalva maneuvers(VM)in plain area.The subjects were divided into AMS group(n=9)and non-AMS group(n=63)according to results of Lake Louise score(LLS)10 h after a rapid ascent to plateau area with altitude of 4 411 m.Univariate and multivariate logistic regression analyses were performed to screen independent predictors of AMS under different states and then construct single and combined VM states prediction models.Receiver operating characteristic curves were plotted,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of each model.Results ICA pulsatility index(PIICA)under mild VM,IJV cross-sectional area(SIJV)under moderate VM and IJV resistance index(RIIJV)under severe VM were all independent predictors of AMS(all P＜0.05).The efficacy of combined VM states model(AUC=0.869)for predicting AMS was higher than each single VM state model(AUC=0.698-0.738).Conclusion The model constructed based on PIICA under mild VM,SIJV under moderate VM and RIIJV under severe VM could be used to effectively predict AMS.
