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Virtual monochromatic dual-energy CT reconstructions improve detection of cerebral infarct in patients with suspicion of stroke
PURPOSE: Early infarcts are hard to diagnose on non-contrast head CT. Dual-energy CT (DECT) may potentially increase infarct differentiation. The optimal DECT settings for differentiation were identified and evaluated. METHODS: One hundred and twenty-five consecutive patients who presented with susp...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803871/ https://www.ncbi.nlm.nih.gov/pubmed/32728777 http://dx.doi.org/10.1007/s00234-020-02492-y |
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author | van Ommen, Fasco Dankbaar, Jan Willem Zhu, Guangming Wolman, Dylan N. Heit, Jeremy J. Kauw, Frans Bennink, Edwin de Jong, Hugo W. A. M. Wintermark, Max |
author_facet | van Ommen, Fasco Dankbaar, Jan Willem Zhu, Guangming Wolman, Dylan N. Heit, Jeremy J. Kauw, Frans Bennink, Edwin de Jong, Hugo W. A. M. Wintermark, Max |
author_sort | van Ommen, Fasco |
collection | PubMed |
description | PURPOSE: Early infarcts are hard to diagnose on non-contrast head CT. Dual-energy CT (DECT) may potentially increase infarct differentiation. The optimal DECT settings for differentiation were identified and evaluated. METHODS: One hundred and twenty-five consecutive patients who presented with suspected acute ischemic stroke (AIS) and underwent non-contrast DECT and subsequent DWI were retrospectively identified. The DWI was used as reference standard. First, virtual monochromatic images (VMI) of 25 patients were reconstructed from 40 to 140 keV and scored by two readers for acute infarct. Sensitivity, specificity, positive, and negative predictive values for infarct detection were compared and a subset of VMI energies were selected. Next, for a separate larger cohort of 100 suspected AIS patients, conventional non-contrast CT (NCT) and selected VMI were scored by two readers for the presence and location of infarct. The same statistics for infarct detection were calculated. Infarct location match was compared per vascular territory. Subgroup analyses were dichotomized by time from last-seen-well to CT imaging. RESULTS: A total of 80–90 keV VMI were marginally more sensitive (36.3–37.3%) than NCT (32.4%; p > 0.680), with marginally higher specificity (92.2–94.4 vs 91.1%; p > 0.509) for infarct detection. Location match was superior for VMI compared with NCT (28.7–27.4 vs 19.5%; p < 0.010). Within 4.5 h from last-seen-well, 80 keV VMI more accurately detected infarct (58.0 vs 54.0%) and localized infarcts (27.1 vs 11.9%; p = 0.004) than NCT, whereas after 4.5 h, 90 keV VMI was more accurate (69.3 vs 66.3%). CONCLUSION: Non-contrast 80–90 keV VMI best differentiates normal from infarcted brain parenchyma. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00234-020-02492-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7803871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-78038712021-01-21 Virtual monochromatic dual-energy CT reconstructions improve detection of cerebral infarct in patients with suspicion of stroke van Ommen, Fasco Dankbaar, Jan Willem Zhu, Guangming Wolman, Dylan N. Heit, Jeremy J. Kauw, Frans Bennink, Edwin de Jong, Hugo W. A. M. Wintermark, Max Neuroradiology Diagnostic Neuroradiology PURPOSE: Early infarcts are hard to diagnose on non-contrast head CT. Dual-energy CT (DECT) may potentially increase infarct differentiation. The optimal DECT settings for differentiation were identified and evaluated. METHODS: One hundred and twenty-five consecutive patients who presented with suspected acute ischemic stroke (AIS) and underwent non-contrast DECT and subsequent DWI were retrospectively identified. The DWI was used as reference standard. First, virtual monochromatic images (VMI) of 25 patients were reconstructed from 40 to 140 keV and scored by two readers for acute infarct. Sensitivity, specificity, positive, and negative predictive values for infarct detection were compared and a subset of VMI energies were selected. Next, for a separate larger cohort of 100 suspected AIS patients, conventional non-contrast CT (NCT) and selected VMI were scored by two readers for the presence and location of infarct. The same statistics for infarct detection were calculated. Infarct location match was compared per vascular territory. Subgroup analyses were dichotomized by time from last-seen-well to CT imaging. RESULTS: A total of 80–90 keV VMI were marginally more sensitive (36.3–37.3%) than NCT (32.4%; p > 0.680), with marginally higher specificity (92.2–94.4 vs 91.1%; p > 0.509) for infarct detection. Location match was superior for VMI compared with NCT (28.7–27.4 vs 19.5%; p < 0.010). Within 4.5 h from last-seen-well, 80 keV VMI more accurately detected infarct (58.0 vs 54.0%) and localized infarcts (27.1 vs 11.9%; p = 0.004) than NCT, whereas after 4.5 h, 90 keV VMI was more accurate (69.3 vs 66.3%). CONCLUSION: Non-contrast 80–90 keV VMI best differentiates normal from infarcted brain parenchyma. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00234-020-02492-y) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-07-29 2021 /pmc/articles/PMC7803871/ /pubmed/32728777 http://dx.doi.org/10.1007/s00234-020-02492-y Text en © The Author(s) 2020 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/. |
spellingShingle | Diagnostic Neuroradiology van Ommen, Fasco Dankbaar, Jan Willem Zhu, Guangming Wolman, Dylan N. Heit, Jeremy J. Kauw, Frans Bennink, Edwin de Jong, Hugo W. A. M. Wintermark, Max Virtual monochromatic dual-energy CT reconstructions improve detection of cerebral infarct in patients with suspicion of stroke |
title | Virtual monochromatic dual-energy CT reconstructions improve detection of cerebral infarct in patients with suspicion of stroke |
title_full | Virtual monochromatic dual-energy CT reconstructions improve detection of cerebral infarct in patients with suspicion of stroke |
title_fullStr | Virtual monochromatic dual-energy CT reconstructions improve detection of cerebral infarct in patients with suspicion of stroke |
title_full_unstemmed | Virtual monochromatic dual-energy CT reconstructions improve detection of cerebral infarct in patients with suspicion of stroke |
title_short | Virtual monochromatic dual-energy CT reconstructions improve detection of cerebral infarct in patients with suspicion of stroke |
title_sort | virtual monochromatic dual-energy ct reconstructions improve detection of cerebral infarct in patients with suspicion of stroke |
topic | Diagnostic Neuroradiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803871/ https://www.ncbi.nlm.nih.gov/pubmed/32728777 http://dx.doi.org/10.1007/s00234-020-02492-y |
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