Virtual monoenergetic dual-energy CT reconstructions at 80 keV are optimal non-contrast CT technique for early stroke detection.


Journal

The neuroradiology journal
ISSN: 2385-1996
Titre abrégé: Neuroradiol J
Pays: United States
ID NLM: 101295103

Informations de publication

Date de publication:
Jun 2022
Historique:
pubmed: 23 9 2021
medline: 11 6 2022
entrez: 22 9 2021
Statut: ppublish

Résumé

Virtual monoenergetic (VM) dual-energy computed tomography (DE-CT) enables grey-to-white matter contrast-to-noise ratio optimization, potentially increasing ischaemic brain oedema visibility. The aim of this study was to compare the diagnostic accuracy of VM and standard DE-CT reconstructions for early stroke detection. Consecutive patients with non-contrast DE-CT of the brain scanned within 12 h of stroke symptom onset were prospectively included in the study. Patients with other significant brain pathology were excluded. Two radiologists jointly evaluated standard and VM reconstructions (from 40 to 190 keV at increments of 10 keV) for early stroke signs on a four-point Likert scale: (a) stroke definitely present, (b) stroke probably present, (c) probably no stroke, and (d) definitely no stroke. Follow-up imaging and clinical data served as the standard of reference. Diagnostic accuracy was evaluated by receiver operating characteristic analysis. Stroke incidence among 184 patients was 76%. In 64 patients follow-up imaging served as the standard of reference: ischemic brain oedema detection was significantly more accurate on VM reconstructions at 80 keV compared with standard DE-CT reconstructions (area under the curve (AUC) = 0.821 VM DE-CT reconstructions at 80 keV appear to be the optimal non-contrast CT technique for diagnosing early ischaemic stroke, particularly within the first 3 h after symptom onset and in severely ill patients.

Sections du résumé

BACKGROUND BACKGROUND
Virtual monoenergetic (VM) dual-energy computed tomography (DE-CT) enables grey-to-white matter contrast-to-noise ratio optimization, potentially increasing ischaemic brain oedema visibility. The aim of this study was to compare the diagnostic accuracy of VM and standard DE-CT reconstructions for early stroke detection.
METHODS METHODS
Consecutive patients with non-contrast DE-CT of the brain scanned within 12 h of stroke symptom onset were prospectively included in the study. Patients with other significant brain pathology were excluded. Two radiologists jointly evaluated standard and VM reconstructions (from 40 to 190 keV at increments of 10 keV) for early stroke signs on a four-point Likert scale: (a) stroke definitely present, (b) stroke probably present, (c) probably no stroke, and (d) definitely no stroke. Follow-up imaging and clinical data served as the standard of reference. Diagnostic accuracy was evaluated by receiver operating characteristic analysis.
RESULTS RESULTS
Stroke incidence among 184 patients was 76%. In 64 patients follow-up imaging served as the standard of reference: ischemic brain oedema detection was significantly more accurate on VM reconstructions at 80 keV compared with standard DE-CT reconstructions (area under the curve (AUC) = 0.821
CONCLUSION CONCLUSIONS
VM DE-CT reconstructions at 80 keV appear to be the optimal non-contrast CT technique for diagnosing early ischaemic stroke, particularly within the first 3 h after symptom onset and in severely ill patients.

Identifiants

pubmed: 34550827
doi: 10.1177/19714009211047449
pmc: PMC9244738
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

337-345

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Auteurs

Doris Dodig (D)

Radiology Department, Clinical Hospital Centre Rijeka, Croatia.

Zrinka Matana Kaštelan (Z)

Radiology Department, Clinical Hospital Centre Rijeka, Croatia.
Department of Radiology, University of Rijeka, Croatia.

Nina Bartolović (N)

Radiology Department, Clinical Hospital Centre Rijeka, Croatia.

Slaven Jurković (S)

Department of Medical Physics and Biophysics, University of Rijeka, Croatia.
Department for Medical Physics and Radiation Protection, Clinical Hospital Centre Rijeka, Croatia.

Damir Miletić (D)

Radiology Department, Clinical Hospital Centre Rijeka, Croatia.
Department of Radiology, University of Rijeka, Croatia.

Zoran Rumboldt (Z)

Department of Radiology, University of Rijeka, Croatia.

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Classifications MeSH