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磁共振灌注加权成像预测急性缺血性脑卒中出血性转化的回顾性研究

Magnetic Resonance Perfusion-Weighted Imaging in Predicting Hemorrhagic Transformation of Acute Ischemic Stroke: A Retrospective Study.

作者信息

Li Ming, Lv Yifan, Wang Mingming, Zhang Yaying, Pan Zilai, Luo Yu, Zhang Haili, Wang Jing

机构信息

Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.

Department of Radiology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China.

出版信息

Diagnostics (Basel). 2023 Nov 8;13(22):3404. doi: 10.3390/diagnostics13223404.

DOI:10.3390/diagnostics13223404
PMID:37998540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10670343/
Abstract

Hemorrhagic transformation (HT) is one of the common complications in patients with acute ischemic stroke (AIS). This study aims to investigate the value of different thresholds of Tmax generated from perfusion-weighted MR imaging (PWI) and the apparent diffusion coefficient (ADC) value in the prediction of HT in AIS. A total of 156 AIS patients were enrolled in this study, with 55 patients in the HT group and 101 patients in non-HT group. The clinical baseline data and multi-parametric MRI findings were compared between HT and non-HT groups to identify indicators related to HT. The optimal parameters for predicting HT and the corresponding cutoff values were obtained using the receiver operating characteristic curve analysis of the volumes of ADC < 620 × 10 mm/s and Tmax > 6 s, 8 s, and 10 s. The results showed that the volumes of ADC < 620 × 10 mm/s and Tmax > 6 s, 8 s, and 10 s in the HT group were all significantly larger than that in the non-HT group and were all independent risk factors for HT. Early measurement of the volume of Tmax > 10 s had the highest value, with a cutoff lesion volume of 10.5 mL.

摘要

出血性转化(HT)是急性缺血性卒中(AIS)患者常见的并发症之一。本研究旨在探讨灌注加权磁共振成像(PWI)生成的不同Tmax阈值和表观扩散系数(ADC)值在预测AIS患者HT中的价值。本研究共纳入156例AIS患者,其中HT组55例,非HT组101例。比较HT组和非HT组的临床基线数据和多参数MRI结果,以确定与HT相关的指标。通过对ADC<620×10 mm/s和Tmax>6 s、8 s和10 s体积的受试者工作特征曲线分析,获得预测HT的最佳参数及相应的截断值。结果显示,HT组ADC<620×10 mm/s和Tmax>6 s、8 s和10 s的体积均显著大于非HT组,且均为HT的独立危险因素。早期测量Tmax>10 s的体积价值最高,截断病变体积为10.5 mL。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b1/10670343/b78325810812/diagnostics-13-03404-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b1/10670343/bf6d86f250fd/diagnostics-13-03404-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b1/10670343/6024802a1bac/diagnostics-13-03404-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b1/10670343/49f1d42bbb69/diagnostics-13-03404-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b1/10670343/b78325810812/diagnostics-13-03404-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b1/10670343/bf6d86f250fd/diagnostics-13-03404-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b1/10670343/6024802a1bac/diagnostics-13-03404-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b1/10670343/49f1d42bbb69/diagnostics-13-03404-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b1/10670343/b78325810812/diagnostics-13-03404-g004.jpg

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本文引用的文献

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Neutrophil dynamics and inflammaging in acute ischemic stroke: A transcriptomic review.急性缺血性卒中中的中性粒细胞动态变化与炎症衰老:一项转录组学综述
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T Volumes Predict Final Infarct Size and Functional Outcome in Ischemic Stroke Patients Receiving Endovascular Treatment.
T 体积可预测接受血管内治疗的缺血性脑卒中患者的最终梗死体积和功能结局。
Ann Neurol. 2022 Jun;91(6):878-888. doi: 10.1002/ana.26354. Epub 2022 Apr 2.
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A deep learning-based model for prediction of hemorrhagic transformation after stroke.基于深度学习的脑卒中后出血性转化预测模型。
Brain Pathol. 2023 Mar;33(2):e13023. doi: 10.1111/bpa.13023. Epub 2021 Oct 4.
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Blood-brain barrier leakage and hemorrhagic transformation: The Reperfusion Injury in Ischemic StroKe (RISK) study.血脑屏障渗漏与出血性转化:缺血性卒中再灌注损伤(RISK)研究
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Hemorrhagic Transformation in Ischemic Stroke and the Role of Inflammation.缺血性卒中的出血性转化及炎症的作用
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From "Time is Brain" to "Imaging is Brain": A Paradigm Shift in the Management of Acute Ischemic Stroke.从“时间就是大脑”到“影像为脑”:急性缺血性脑卒中管理的范式转变。
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MRI for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis.磁共振成像用于预测急性缺血性卒中出血性转化:一项系统评价和荟萃分析
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