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

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Computed tomography perfusion software pipelines to assess parameter maps and ischemic volumes: A comparative study. / Lu, Wei; Yao, Feirong; Yin, Congguo; Wan, Shu; Liu, Xin; He, Chongxin; Leng, Xiaochang; Fiehler, Jens; Siddiqui, Adnan H; Peng, Ya; Xiang, Jianping.

In: J NEUROIMAGING, Vol. 33, No. 6, 2023, p. 983-990.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Lu, W, Yao, F, Yin, C, Wan, S, Liu, X, He, C, Leng, X, Fiehler, J, Siddiqui, AH, Peng, Y & Xiang, J 2023, 'Computed tomography perfusion software pipelines to assess parameter maps and ischemic volumes: A comparative study', J NEUROIMAGING, vol. 33, no. 6, pp. 983-990. https://doi.org/10.1111/jon.13154

APA

Lu, W., Yao, F., Yin, C., Wan, S., Liu, X., He, C., Leng, X., Fiehler, J., Siddiqui, A. H., Peng, Y., & Xiang, J. (2023). Computed tomography perfusion software pipelines to assess parameter maps and ischemic volumes: A comparative study. J NEUROIMAGING, 33(6), 983-990. https://doi.org/10.1111/jon.13154

Vancouver

Bibtex

@article{e5a4451a74f04e44aaa7b0e01c0b66d7,
title = "Computed tomography perfusion software pipelines to assess parameter maps and ischemic volumes: A comparative study",
abstract = "BACKGROUND AND PURPOSE: This 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).METHODS: A 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.RESULTS: The 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.CONCLUSIONS: The 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.",
keywords = "Humans, Brain Ischemia/diagnostic imaging, Tomography, X-Ray Computed/methods, Ischemic Stroke, Retrospective Studies, Stroke/diagnostic imaging, Software, Perfusion, Perfusion Imaging/methods",
author = "Wei Lu and Feirong Yao and Congguo Yin and Shu Wan and Xin Liu and Chongxin He and Xiaochang Leng and Jens Fiehler and Siddiqui, {Adnan H} and Ya Peng and Jianping Xiang",
note = "{\textcopyright} 2023 American Society of Neuroimaging.",
year = "2023",
doi = "10.1111/jon.13154",
language = "English",
volume = "33",
pages = "983--990",
journal = "J NEUROIMAGING",
issn = "1051-2284",
publisher = "Wiley-Blackwell",
number = "6",

}

RIS

TY - JOUR

T1 - Computed tomography perfusion software pipelines to assess parameter maps and ischemic volumes: A comparative study

AU - Lu, Wei

AU - Yao, Feirong

AU - Yin, Congguo

AU - Wan, Shu

AU - Liu, Xin

AU - He, Chongxin

AU - Leng, Xiaochang

AU - Fiehler, Jens

AU - Siddiqui, Adnan H

AU - Peng, Ya

AU - Xiang, Jianping

N1 - © 2023 American Society of Neuroimaging.

PY - 2023

Y1 - 2023

N2 - BACKGROUND AND PURPOSE: This 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).METHODS: A 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.RESULTS: The 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.CONCLUSIONS: The 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.

AB - BACKGROUND AND PURPOSE: This 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).METHODS: A 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.RESULTS: The 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.CONCLUSIONS: The 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.

KW - Humans

KW - Brain Ischemia/diagnostic imaging

KW - Tomography, X-Ray Computed/methods

KW - Ischemic Stroke

KW - Retrospective Studies

KW - Stroke/diagnostic imaging

KW - Software

KW - Perfusion

KW - Perfusion Imaging/methods

U2 - 10.1111/jon.13154

DO - 10.1111/jon.13154

M3 - SCORING: Journal article

C2 - 37737687

VL - 33

SP - 983

EP - 990

JO - J NEUROIMAGING

JF - J NEUROIMAGING

SN - 1051-2284

IS - 6

ER -