首页|期刊导航|中国临床医学影像杂志|基于mCTP的侧支循环量化评估与急性脑梗死体积及神经功能转归的关系

基于mCTP的侧支循环量化评估与急性脑梗死体积及神经功能转归的关系OA

Quantitative evaluation of collateral circulation based on mCTP and its relationship with infarct volume and neurological outcome in acute cerebral infarction

中文摘要英文摘要

目的:探究多时相CT灌注成像(mCTP)的侧支循环量化评估与急性脑梗死(ACI)患者梗死体积及神经功能转归的关系.方法:ACI患者 138 例为研究对象,分为侧支循环组(n=76)和无侧支循环组(n=62),ROC曲线分析mCTP参数对ACI侧支循环的预测价值,Pearson相关性分析mCTP参数与脑梗死体积的相关性.多因素Logistic回归分析探讨神经功能转归的影响因 素;ROC 曲线分析mCTP 参数对ACI 患者神经功能转归的预测价值.结果:侧支循环组美国国立卫生研究院卒中量表(NIHSS)、改良Rankin量表(mRS)评分显著低于无侧支循环组(P<0.05).侧支循环组脑血流量(CBF)、脑血容量(CBV)显著高于无侧支循环组(P<0.05);达峰时间(TTP)、平均通过时间(MTT)显著低于无侧支循环组(P<0.05).受试者ROC曲线分析结果显示CBF、CBV、TTP、MTT对ACI侧支循环有良好的预测价值(P<0.05),且联合检测的预测价值优于各指标单独检测(P<0.05).Pearson相关性分析结果显示CBF、CBV与脑梗死体积呈显著负相关(P<0.05);TTP、MTT与脑梗死体积呈显著正相关(P<0.05).单因素分析结果显示转归良好组CBF、CBV显著高于转归不良组(P<0.05),TTP、MTT、mRS评分显著低于转归不良组(P<0.05).多因素Logistic回归表明,校正mRS平分、NIHSS评分、治疗方案等混杂因素后,CBF和CBV为神经功能转归的独立保护因素(P<0.05),TTP、MTT为神经功能转归的独立危险因素(P<0.05).结论:mCTP侧支循环量化参数可预测ACI患者梗死体积及神经功能转归,为临床决策提供参考.

Objective:To investigate the relationship between collateral circulation quantified by multiphase CT perfusion(mCTP)and the infarct volume and neurological functional outcome in patients with acute cerebral infarction(ACI).Methods:A total of 138 ACI patients were divided into a collateral circulation group(n=76)and a non-collateral circulation group(n=62).The predictive performance of mCTP parameters for collateral circulation in ACI was evaluated using ROC curve analysis,while their correlation with infarct volume was assessed via Pearson correlation analysis.Multivariate Logistic regression was used to analyze the influencing factors of neurological outcome,and the predictive value of mCTP parameters for neurological outcomes was further analyzed using ROC curves.The predictive value of this pathway was evaluated using ROC curve anal-ysis.Results:The scores of NIHSS and mRS in the collateral circulation group were significantly lower than those in the non-collateral circulation group(P<0.05).CBF and CBV in the collateral circulation group were significantly higher than those in the non-collateral circulation group(P<0.05).TTP and MTT were significantly lower than those in the non-collateral circula-tion group(P<0.05).The results of ROC analysis showed that CBF,CBV,TTP and MTT had good predictive value for the col-lateral circulation of ACI(P<0.05),and the predictive value of combined detection was better than that of each index alone(P<0.05).The results of Pearson correlation analysis showed that CBF and CBV were negatively correlated with the cerebral in-farction volume(P<0.05),TTP and MTT were positively correlated with the cerebral infarction volume(P<0.05).Univariate analy-sis showed that CBF and CBV in the good outcome group were significantly higher than those in the poor outcome group(P<0.05),and TTP,MTT and mRS scores were significantly lower than those in the poor outcome group(P<0.05).Multivariate Lo-gistic regression showed that CBF and CBV were independent protective factors for neurological function outcome(P<0.05),and TTP and MTT were independent risk factors for neurological function outcome(P<0.05)after adjusting for confounding factors such as mRS score,NIHSS score,and treatment plan.Conclusion:mCTP-based collateral circulation quantification can effec-tively reflect infarct volume and neurological functional outcome in ACI patients,providing an important basis for early diagno-sis,treatment decision-making,and prognosis evaluation in clinical practice.

杨慧;常文广

新乡市中心医院,河南 新乡 453000新乡市中心医院,河南 新乡 453000

医药卫生

脑梗死神经康复体层摄影术,螺旋计算机

Brain InfarctionNeurological RehabilitationTomography,Spiral Computed

《中国临床医学影像杂志》 2026 (4)

233-236,245,5

河南省医学科技攻关计划项目(编号:LHGJ20220991).

10.12117/jccmi.2026.04.002

评论