Amide Proton Transfer‐Weighted MRI, Associations with Clinical Severity and Prognosis in Ischemic Strokes

Author:

Zhou Le1,Pan Wanqian2,Huang Renjun1,Wang Tianye3,Wei Zifan4,Wang Hui3,Zhang Yi5ORCID,Li Yonggang16ORCID

Affiliation:

1. Department of Radiology The First Affiliated Hospital of Soochow University Suzhou city Jiangsu Province China

2. Department of Cardiology The First Affiliated Hospital of Soochow University Suzhou Jiangsu Province China

3. Department of Neurology The First Affiliated Hospital of Soochow University Suzhou Jiangsu Province China

4. Suzhou Medical College of Soochow University Suzhou China

5. Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou Zhejiang China

6. Institute of Medical Imaging, Soochow University Suzhou city Jiangsu Province China

Abstract

BackgroundThe National Institutes of Health Stroke Scale (NIHSS) and the modified Rankin scale (mRS) scores have important shortcomings. Amide proton transfer‐weighted (APTw) imaging might offer more valuable information in ischemic strokes assessment.PurposeTo utilize APTw, apparent diffusion coefficient (ADC), and computed tomography perfusion (CTP) for the assessment of clinical symptom severity and 90‐day prognosis in patients diagnosed with ischemic stroke.Study TypeProspective.Subjects61 patients (mean age 63.2 ± 9.7 years; 46 males, 15 females) with ischemic strokes were included in the study.Field Strength/Sequence3T/turbo spin echo (TSE) T1‐weighted imaging, T2‐weighted imaging, T2‐fluid attenuated inversion recovery (T2‐FLAIR), diffusion‐weighted imaging (DWI), and single‐shot TSE APTw imaging.AssessmentAPTw, ADC, and CTP were used to compare patient subgroups and construct a prognostic nomogram model.Statistical TestsKolmogorov–Smirnov test, t‐test, Mann–Whitney U test, chi‐square test, Pearson correlation analysis, multivariate logistic regression analysis, decision curve analysis (DCA), receiver operating characteristic curves (ROCs). The significance threshold was set at P < 0.05.ResultsCorrelation analysis revealed that APTw and NIHSS exhibit the highest correlation (r = −0.634, 95% confidence interval [CI] −0.418 to −0.782), surpassing that of ADC and lesion size. Multivariable analysis revealed APTw (odds ratio [OR] 0.905, 95% CI 0.845–0.970), ADC (OR 0.745, 95% CI 0.609–0.911), and infarct core‐cerebral blood volume (IC‐CBV) (OR 0.547, 95% CI 0.310–0.964) as potential risk factors associated with a poor prognosis. The nomogram model demonstrated the highest predictive efficacy, with an area under the curve (AUC) of 0.960 (95% CI 0.911–0.988), exceeding that of APTw, ADC, and IC‐CBV individually.Data ConclusionThe APTw technique holds potential value in categorizing and managing patients with ischemic stroke, offering guidance for the implementation of clinical treatment strategies.Level of Evidence1Technical EfficacyStage 2

Publisher

Wiley

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