APT Weighted MRI as an Effective Imaging Protocol to Predict Clinical Outcome After Acute Ischemic Stroke.
APT Weighted MRI as an Effective Imaging Protocol to Predict Clinical Outcome After Acute Ischemic Stroke.
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APT 加权 MRI 作为预测急性缺血性中风后临床结果的有效成像方案
DOI:
10.3389/fneur.2018.00901
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发表时间:
2018
影响因子:
3.4
通讯作者:
Wu R
中科院分区:
文献类型:
--
作者:
Lin G;Zhuang C;Shen Z;Xiao G;Chen Y;Shen Y;Zong X;Wu R
To explore the capability of the amide-proton-transfer weighted (APTW) magnetic resonance imaging (MRI) in the evaluation of clinical neurological deficit at the time of hospitalization and assessment of long-term daily functional outcome for patients with acute ischemic stroke (AIS). We recruited 55 AIS patients with brain MRI acquired within 24–48 h of symptom onset and followed up with their 90-day modified Rankin Scale (mRS) score. APT weighted MRI was performed for all the study subjects to measure APTW signal quantitatively in the acute ischemic area (APTWipsi) and the contralateral side (APTWcont). Change of the APT signal between the acute ischemic region and the contralateral side (ΔAPTW) was calculated. Maximum APTW signal (APTWmax) and minimal APTW signal (APTWmin) were also acquired to demonstrate APTW signals heterogeneity (APTWmax−min). In addition, all the patients were divided into 2 groups according to their 90-day mRS score (good prognosis group with mRS score <2 and poor prognosis group with mRS score ≥2). In the meantime, ΔAPTW of these groups was compared. We found that ΔAPTW was in good correlation with National Institutes of Health Stroke Scale (NIHSS) score (R2 = 0.578, p < 0.001) and 90-day mRS score (R2 = 0.55, p < 0.001). There was significant difference of ΔAPTW between patients with good prognosis and patients with poor prognosis. Plus, APTWmax−min was significantly different between two groups. These results suggested that APT weighted MRI could be used as an effective tool to assess the stroke severity and prognosis for patients with AIS, with APTW signal heterogeneity as a possible biomarker.
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影响因子:
6.3
作者:
Parsons, Mark W.;Christensen, Soren;Davis, Stephen M.
通讯作者:
Davis, Stephen M.
影响因子:
3.4
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Song G;Li C;Luo X;Zhao X;Zhang S;Zhang Y;Jiang S;Wang X;Chen Y;Chen H;Gong T;Zhou J;Chen M
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6.3
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3.3
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Heo HY;Zhang Y;Burton TM;Jiang S;Zhao Y;van Zijl PCM;Leigh R;Zhou J
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Zhou J
影响因子:
3.3
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Chen, Jin-Hong;Sambol, Elliot B.;Singer, Samuel
通讯作者:
Singer, Samuel