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Variation in arterial input function in a large multicenter computed tomography perfusion study
OBJECTIVES: To report the variation in computed tomography perfusion (CTP) arterial input function (AIF) in a multicenter stroke study and to assess the impact this has on CTP results. METHODS: CTP datasets from 14 different centers were included from the DUtch acute STroke (DUST) study. The AIF was...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523411/ https://www.ncbi.nlm.nih.gov/pubmed/34050385 http://dx.doi.org/10.1007/s00330-021-08067-6 |
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author | Peerlings, Daan Bennink, Edwin Dankbaar, Jan W. Velthuis, Birgitta K. de Jong, Hugo W. A. M. |
author_facet | Peerlings, Daan Bennink, Edwin Dankbaar, Jan W. Velthuis, Birgitta K. de Jong, Hugo W. A. M. |
author_sort | Peerlings, Daan |
collection | PubMed |
description | OBJECTIVES: To report the variation in computed tomography perfusion (CTP) arterial input function (AIF) in a multicenter stroke study and to assess the impact this has on CTP results. METHODS: CTP datasets from 14 different centers were included from the DUtch acute STroke (DUST) study. The AIF was taken as a direct measure to characterize contrast bolus injection. Statistical analysis was applied to evaluate differences in amplitude, area under the curve (AUC), bolus arrival time (BAT), and time to peak (TTP). To assess the clinical relevance of differences in AIF, CTP acquisitions were simulated with a realistic anthropomorphic digital phantom. Perfusion parameters were extracted by CTP analysis using commercial software (IntelliSpace Portal (ISP), version 10.1) as well as an in-house method based on block-circulant singular value decomposition (bSVD). RESULTS: A total of 1422 CTP datasets were included, ranging from 6 to 322 included patients per center. The measured values of the parameters used to characterize the AIF differed significantly with approximate interquartile ranges of 200–750 HU for the amplitude, 2500–10,000 HU·s for the AUC, 0–17 s for the BAT, and 10–26 s for the TTP. Mean infarct volumes of the phantom were significantly different between centers for both methods of perfusion analysis. CONCLUSIONS: Although guidelines for the acquisition protocol are often provided for centers participating in a multicenter study, contrast medium injection protocols still vary. The resulting volumetric differences in infarct core and penumbra may impact clinical decision making in stroke diagnosis. KEY POINTS: • The contrast medium injection protocol may be different between stroke centers participating in a harmonized multicenter study. • The contrast medium injection protocol influences the results of X-ray computed tomography perfusion imaging. • The contrast medium injection protocol can impact stroke diagnosis and patient selection for treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-021-08067-6. |
format | Online Article Text |
id | pubmed-8523411 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-85234112021-10-22 Variation in arterial input function in a large multicenter computed tomography perfusion study Peerlings, Daan Bennink, Edwin Dankbaar, Jan W. Velthuis, Birgitta K. de Jong, Hugo W. A. M. Eur Radiol Computed Tomography OBJECTIVES: To report the variation in computed tomography perfusion (CTP) arterial input function (AIF) in a multicenter stroke study and to assess the impact this has on CTP results. METHODS: CTP datasets from 14 different centers were included from the DUtch acute STroke (DUST) study. The AIF was taken as a direct measure to characterize contrast bolus injection. Statistical analysis was applied to evaluate differences in amplitude, area under the curve (AUC), bolus arrival time (BAT), and time to peak (TTP). To assess the clinical relevance of differences in AIF, CTP acquisitions were simulated with a realistic anthropomorphic digital phantom. Perfusion parameters were extracted by CTP analysis using commercial software (IntelliSpace Portal (ISP), version 10.1) as well as an in-house method based on block-circulant singular value decomposition (bSVD). RESULTS: A total of 1422 CTP datasets were included, ranging from 6 to 322 included patients per center. The measured values of the parameters used to characterize the AIF differed significantly with approximate interquartile ranges of 200–750 HU for the amplitude, 2500–10,000 HU·s for the AUC, 0–17 s for the BAT, and 10–26 s for the TTP. Mean infarct volumes of the phantom were significantly different between centers for both methods of perfusion analysis. CONCLUSIONS: Although guidelines for the acquisition protocol are often provided for centers participating in a multicenter study, contrast medium injection protocols still vary. The resulting volumetric differences in infarct core and penumbra may impact clinical decision making in stroke diagnosis. KEY POINTS: • The contrast medium injection protocol may be different between stroke centers participating in a harmonized multicenter study. • The contrast medium injection protocol influences the results of X-ray computed tomography perfusion imaging. • The contrast medium injection protocol can impact stroke diagnosis and patient selection for treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-021-08067-6. Springer Berlin Heidelberg 2021-05-28 2021 /pmc/articles/PMC8523411/ /pubmed/34050385 http://dx.doi.org/10.1007/s00330-021-08067-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Computed Tomography Peerlings, Daan Bennink, Edwin Dankbaar, Jan W. Velthuis, Birgitta K. de Jong, Hugo W. A. M. Variation in arterial input function in a large multicenter computed tomography perfusion study |
title | Variation in arterial input function in a large multicenter computed tomography perfusion study |
title_full | Variation in arterial input function in a large multicenter computed tomography perfusion study |
title_fullStr | Variation in arterial input function in a large multicenter computed tomography perfusion study |
title_full_unstemmed | Variation in arterial input function in a large multicenter computed tomography perfusion study |
title_short | Variation in arterial input function in a large multicenter computed tomography perfusion study |
title_sort | variation in arterial input function in a large multicenter computed tomography perfusion study |
topic | Computed Tomography |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523411/ https://www.ncbi.nlm.nih.gov/pubmed/34050385 http://dx.doi.org/10.1007/s00330-021-08067-6 |
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