Computed tomography perfusion software pipelines to assess parameter maps and ischemic volumes: A comparative study

Author:

Lu Wei1ORCID,Yao Feirong2,Yin Congguo3,Wan Shu4,Liu Xin1,He Chongxin5,Leng Xiaochang1,Fiehler Jens6,Siddiqui Adnan H.7,Peng Ya8,Xiang Jianping1

Affiliation:

1. ArteryFlow Technology Co., Ltd. Hangzhou China

2. Department of Radiology The First Affiliated Hospital of Soochow University Suzhou China

3. Department of Neurology Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou China

4. Brain Center Affiliated Zhejiang Hospital Zhejiang University School of Medicine Hangzhou China

5. Department of Neurosurgery The Third People's Hospital of Hefei Hefei China

6. Department of Diagnostic and Interventional Neuroradiology University Medical Center Hamburg‐Eppendorf Germany

7. Departments of Neurosurgery and Radiology University at Buffalo Buffalo New York USA

8. Department of Neurosurgery The First People's Hospital of Changzhou/The Third Affiliated Hospital of Soochow University Changzhou China

Abstract

AbstractBackground and PurposeThis study was dedicated to investigating the agreement of the calculated results of two CT perfusion (CTP) postprocessing software packages, including parameter maps and ischemic volume, focusing on the infarct core volume (ICV) and penumbra volume (PV).MethodsA retrospective collection of 235 patients with acute ischemic stroke who underwent CTP examination were enrolled. All images had been analyzed with two software pipelines, RAPID CTP and AccuCTP, and the comparative analysis was based on ICV and PV results calculated by both software packages. The agreement of parameter maps was evaluated by root mean square error and Bland‐Altman analysis. The ICV and PV agreement was evaluated by intraclass correlation coefficient (ICC) and Bland‐Altman analysis. The accuracy of ICV and PV based on multiple thresholds was also analyzed.ResultsThe ICV and PV of AccuCTP and RAPID CTP show excellent agreement. The relative differences of the parameter maps were all within 10% and the Bland‐Altman analysis also showed a strong agreement. From ordinary least squares fitting results, both ICV and PV had a remarkably high goodness of fit (ICV, R2= 0.975 [p<.001]; PV, R2= 0.964 [p<.001]). For the ICC analysis, both had high ICC scores (ICV ICC 0.984, 95% CI [confidence interval] 0.973‐0.989; PV ICC 0.955, 95% CI 0.947‐0.964). Furthermore, multi‐threshold analysis on the basis of ICV and PV also achieved reliable analytical accuracy.ConclusionsThe image analysis results of AccuCTP are in excellent agreement with RAPID CTP and can be used as an alternative analysis tool to RAPID CTP software in stroke clinical practice.

Publisher

Wiley

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging

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