颅脑CT灌注成像对脑梗死患者预后的预测价值OA
Predictive Value of Cranial CT Perfusion Imaging for Prognosis in Patients with Cerebral Infarction
目的 探讨颅脑CT灌注成像(CTPI)对脑梗死患者预后的预测价值.方法 选取2020年1月至2025年5月攀枝花学院附属医院收治的150例急性脑梗死患者为研究对象,均在发病后24 h内接受颅脑CT平扫及CTPI检查.采用后处理软件定量分析梗死核心区及缺血半暗带的灌注参数,包括脑血流量(CBF)、脑血容量(CBV)、平均通过时间(MTT)与达峰时间(TTP).根据发病后90 d改良Rankin量表(mRS)评分将患者分入预后良好组(mRS≤2分,97例)与预后不良组(mRS>2分,53例).采用受试者工作特征曲线评估CTPI参数对脑梗死患者预后的预测效能,采用多因素Logistic逐步回归分析筛选脑梗死患者预后的独立影响因素.结果 预后不良组CBF、CBV均显著低于预后良好组,MTT、TTP均显著长于预后良好组(P<0.05).受试者工作特征曲线结果显示,CBF、CBV、MTT、TTP及四者联合(串联)预测脑梗死患者预后的AUC分别为0.793(95%CI:0.748~0.843)、0.749(95%CI:0.699~0.794)、0.702(95%CI:0.657~0.752)、0.758(95%CI:0.713~0.808)、0.924(95%CI:0.879~0.974).De-Long检验结果显示,四者联合预测的AUC显著高于各参数单独预测(均P<0.05).预后不良组年龄及入院时NIHSS评分>15分、梗死程度为重度患者占比均显著高于预后良好组(P<0.05).多因素分析结果显示,年龄增加(OR=1.846,95%CI:1.068~3.189)、CBV<2.80 mL/100 g(OR=1.919,95%CI:1.190~3.096)、MTT>7.68 s(OR=2.010,95%CI:1.179~3.425)、TTP>17.22 s(OR=2.018,95%CI:1.134~3.590)、入院时NIHSS评分>15分(OR=2.445,95%CI:1.475~4.054)、CBF<35.84 mL/(100 g·min)(OR=2.489,95%CI:1.546~4.008)是脑梗死患者预后的独立危险因素(P<0.05).结论 颅脑CTPI参数对脑梗死患者预后具有重要的预测价值,其中多参数联合分析的预测效能显著优于单一参数,年龄、入院时NIHSS评分及多项CTPI参数均为脑梗死患者预后不良的独立影响因素.
Objective To explore the predictive value of cranial CT perfusion imaging(CTPI)for the prognosis of patients with cerebral infarction.Methods A total of 150 patients with acute cerebral infarction admitted to the Affiliated Hospital of Panzhihua University from January 2020 to May 2025 were selected.All patients underwent non-contrast cranial CT and CTPI within 24 hours of symptom onset.Post-processing software was used to quantitatively analyze perfusion parameters of the infarct core and ischemic penumbra,including cerebral blood flow(CBF),cerebral blood volume(CBV),mean transit time(MTT),and time to peak(TTP).Based on the modified Rankin Scale(mRS)score at 90 days post-onset,patients were divided into the favorable prognosis group(mRS≤2,n=97)and the unfavorable prognosis group(mRS>2,n=53).Receiver operating characteristic(ROC)curves were employed to evaluate the predictive efficacy of CTPI parameters for patient outcomes,while multivariate logistic stepwise regression analysis was conducted to identify independent prognostic factors for cerebral infarction.Results CBF and CBV in the unfavorable prognosis group were significantly lower than those in the favorable prognosis group,while MTT and TTP were significantly longer than those in the favorable prognosis group(P<0.05).ROC curve analysis showed that the AUC of CBF,CBV,MTT,TTP,and the combination of the four parameters(in series)for predicting the prognosis of patients with cerebral infarction were 0.793(95%CI:0.748-0.843),0.749(95%CI:0.699-0.794),0.702(95%CI:0.657-0.752),0.758(95%CI:0.713-0.808),and 0.924(95%CI:0.879-0.974),respectively.The De-Long test showed that the AUC of the combined prediction was significantly higher than that of each individual parameter(all P<0.05).The proportion of patients with older age,admission National Institutes of Health Stroke Scale(NIHSS)score>15,and severe infarction was significantly higher in the unfavorable prognosis group than in the favorable prognosis group(P<0.05).Multivariate analysis showed that increased age(OR=1.846,95%CI:1.068-3.189),CBV<2.80 mL/100 g(OR=1.919,95%CI:1.190-3.096),MTT>7.68 s(OR=2.010,95%CI:1.179-3.425),TTP>17.22 s(OR=2.018,95%CI:1.134-3.590),admission NIHSS score>15(OR=2.445,95%CI:1.475-4.054),and CBF<35.84 mL/(100 g·min)(OR=2.489,95%CI:1.546-4.008)were independent risk factors for the prognosis of patients with cerebral infarction(all P<0.05).Conclusion Cranial CTPI parameters have important predictive value for the prognosis of patients with cerebral infarction,and the predictive efficacy of multi-parameter combined analysis is significantly better than that of a single parameter.Additionally,age,admission NIHSS score,and multiple CTPI parameters are independent influencing factors for unfavorable prognosis in patients with cerebral infarction.
彭川;陈首名;符艳梅;蔡永刚;徐昌艳;尚桐羽;尹婷;王林
攀枝花学院附属医院影像中心,四川 攀枝花 617000攀枝花学院附属医院影像中心,四川 攀枝花 617000攀枝花学院附属医院影像中心,四川 攀枝花 617000攀枝花学院附属医院影像中心,四川 攀枝花 617000攀枝花学院附属医院影像中心,四川 攀枝花 617000攀枝花学院附属医院影像中心,四川 攀枝花 617000攀枝花学院附属医院影像中心,四川 攀枝花 617000攀枝花学院附属医院影像中心,四川 攀枝花 617000
脑梗死体层摄影术X线计算机灌注成像预后预测
cerebral infarctiontomography,X-ray computedperfusion imagingprognosisprediction
《转化医学杂志》 2026 (5)
741-746,6
四川省医学会(恒瑞)科研基金专项科研项目(2021HR61)2025年度攀枝花市第一批市级指导性科技计划项目(2025ZD-S-42)
评论