Performance of Automated ASPECTS Software and Value as a Computer-Aided Detection Tool.


Journal

AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708

Informations de publication

Date de publication:
08 2023
Historique:
received: 06 03 2023
accepted: 14 06 2023
pmc-release: 01 08 2024
medline: 11 8 2023
pubmed: 28 7 2023
entrez: 27 7 2023
Statut: ppublish

Résumé

ASPECTS quantifies early ischemic changes in anterior circulation stroke on NCCT but has interrater variability. We examined the agreement of conventional and automated ASPECTS and studied the value of computer-aided detection. We retrospectively collected imaging data from consecutive patients with acute ischemic stroke with large-vessel occlusion undergoing thrombectomy. Five raters scored conventional ASPECTS on baseline NCCTs, which were also processed by RAPID software. Conventional and automated ASPECTS were compared with a consensus criterion standard. We determined the agreement over the full ASPECTS range as well as dichotomized, reflecting thrombectomy eligibility according to the guidelines (ASPECTS 0-5 versus 6-10). Raters subsequently scored ASPECTS on the same NCCTs with assistance of the automated ASPECTS outputs, and agreement was obtained. For the total of 175 cases, agreement among raters individually and the criterion standard varied from fair to good (weighted κ = between 0.38 and 0.76) and was moderate (weighted κ = 0.59) for the automated ASPECTS. The agreement of all raters individually versus the criterion standard improved with software assistance, as did the interrater agreement (overall Fleiss κ = 0.15-0.23; Automated ASPECTS had agreement with the criterion standard similar to that of conventional ASPECTS. However, including automated ASPECTS during the evaluation of NCCT in acute stroke improved the agreement with the criterion standard and improved interrater agreement, which could, therefore, result in more uniform scoring in clinical practice.

Sections du résumé

BACKGROUND AND PURPOSE
ASPECTS quantifies early ischemic changes in anterior circulation stroke on NCCT but has interrater variability. We examined the agreement of conventional and automated ASPECTS and studied the value of computer-aided detection.
MATERIALS AND METHODS
We retrospectively collected imaging data from consecutive patients with acute ischemic stroke with large-vessel occlusion undergoing thrombectomy. Five raters scored conventional ASPECTS on baseline NCCTs, which were also processed by RAPID software. Conventional and automated ASPECTS were compared with a consensus criterion standard. We determined the agreement over the full ASPECTS range as well as dichotomized, reflecting thrombectomy eligibility according to the guidelines (ASPECTS 0-5 versus 6-10). Raters subsequently scored ASPECTS on the same NCCTs with assistance of the automated ASPECTS outputs, and agreement was obtained.
RESULTS
For the total of 175 cases, agreement among raters individually and the criterion standard varied from fair to good (weighted κ = between 0.38 and 0.76) and was moderate (weighted κ = 0.59) for the automated ASPECTS. The agreement of all raters individually versus the criterion standard improved with software assistance, as did the interrater agreement (overall Fleiss κ = 0.15-0.23;
CONCLUSIONS
Automated ASPECTS had agreement with the criterion standard similar to that of conventional ASPECTS. However, including automated ASPECTS during the evaluation of NCCT in acute stroke improved the agreement with the criterion standard and improved interrater agreement, which could, therefore, result in more uniform scoring in clinical practice.

Identifiants

pubmed: 37500286
pii: ajnr.A7956
doi: 10.3174/ajnr.A7956
pmc: PMC10411841
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

894-900

Informations de copyright

© 2023 by American Journal of Neuroradiology.

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Auteurs

J Lambert (J)

From the Departments of Radiology (J.L., B.D., L.C., R.S., L. B., P.D.) julie.lambert@uzleuven.be.
Departments of Imaging and Pathology (J.L., B.D., P.D.).
Neuroscience (J.D., A.W., L.V., L.S., R.L.).

J Demeestere (J)

Neurology (J.D., L.V., L.S., R.S.), University Hospitals Leuven, Leuven, Belgium.
Experimental Neurology (J.D., A.W., L.V., L.S., R.L.), Laboratory of Neurobiology, Katholieke Universiteit Leuven, University of Leuven, Leuven, Belgium.

B Dewachter (B)

From the Departments of Radiology (J.L., B.D., L.C., R.S., L. B., P.D.).
Departments of Imaging and Pathology (J.L., B.D., P.D.).

L Cockmartin (L)

From the Departments of Radiology (J.L., B.D., L.C., R.S., L. B., P.D.).

A Wouters (A)

Neuroscience (J.D., A.W., L.V., L.S., R.L.).
Experimental Neurology (J.D., A.W., L.V., L.S., R.L.), Laboratory of Neurobiology, Katholieke Universiteit Leuven, University of Leuven, Leuven, Belgium.

R Symons (R)

From the Departments of Radiology (J.L., B.D., L.C., R.S., L. B., P.D.).
Imelda Hospital (R.S.), Bonheiden, Belgium.

L Boomgaert (L)

From the Departments of Radiology (J.L., B.D., L.C., R.S., L. B., P.D.).

L Vandewalle (L)

Neurology (J.D., L.V., L.S., R.S.), University Hospitals Leuven, Leuven, Belgium.
Neuroscience (J.D., A.W., L.V., L.S., R.L.).
Experimental Neurology (J.D., A.W., L.V., L.S., R.L.), Laboratory of Neurobiology, Katholieke Universiteit Leuven, University of Leuven, Leuven, Belgium.

L Scheldeman (L)

Neurology (J.D., L.V., L.S., R.S.), University Hospitals Leuven, Leuven, Belgium.
Neuroscience (J.D., A.W., L.V., L.S., R.L.).
Experimental Neurology (J.D., A.W., L.V., L.S., R.L.), Laboratory of Neurobiology, Katholieke Universiteit Leuven, University of Leuven, Leuven, Belgium.

P Demaerel (P)

From the Departments of Radiology (J.L., B.D., L.C., R.S., L. B., P.D.).
Departments of Imaging and Pathology (J.L., B.D., P.D.).

R Lemmens (R)

Neurology (J.D., L.V., L.S., R.S.), University Hospitals Leuven, Leuven, Belgium.
Neuroscience (J.D., A.W., L.V., L.S., R.L.).
Experimental Neurology (J.D., A.W., L.V., L.S., R.L.), Laboratory of Neurobiology, Katholieke Universiteit Leuven, University of Leuven, Leuven, Belgium.

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