Inter- and intra-rater reliability of computer-assisted planimetry in experimental stroke research.


Journal

Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558

Informations de publication

Date de publication:
15 01 2019
Historique:
received: 18 08 2018
revised: 17 11 2018
accepted: 17 11 2018
pubmed: 23 11 2018
medline: 21 3 2020
entrez: 23 11 2018
Statut: ppublish

Résumé

Computer-assisted planimetry is widely used in experimental stroke research to assess the size of the ischemic lesion or hemispheric volume. Only insufficient data exist on the training required to achieve sufficient reliability in planimetry. Therefore, planimetry was performed over 15 months by two blinded raters who were initially inexperienced in the method. For inter-rater reliability, the hemispheric and lesional volume of 227 male Wistar Unilever rats subjected to middle cerebral artery occlusion were determined in diffusion- and T2-weighted sequences. For the intra-rater agreement, one investigator assessed the hemispheric and lesional volume in 87 T2-weighted sequences twice within a six-week interval. The correlation was calculated using Krippendorff's alpha and Bland-Altman plots illustrated the agreement. Inter-rater agreement increased during the first seven weeks and remained at high values (Krippendorff's alpha > 0.88). For intra-rater agreement, Krippendorff's alpha was 0.84 for hemispheric and 0.85 for lesional volume. The Bland-Altman plot indicated solid agreement between raters in the absence of systematic errors. Simplified geometrical models or automated methods for planimetry can be used to determine lesional volume, but both approaches are inappropriate to assess hemispheric volume. Computer-assisted planimetry can be an appropriate method to determine hemispheric or ischemic lesion volume in rodents but requires a sufficiently long learning period of approximately two months. Even an experienced investigator can generate data with serious variation. Inter- and intra-rater-dependent bias should be considered during the design and performance of respective studies.

Sections du résumé

BACKGROUND
Computer-assisted planimetry is widely used in experimental stroke research to assess the size of the ischemic lesion or hemispheric volume.
NEW METHOD
Only insufficient data exist on the training required to achieve sufficient reliability in planimetry. Therefore, planimetry was performed over 15 months by two blinded raters who were initially inexperienced in the method. For inter-rater reliability, the hemispheric and lesional volume of 227 male Wistar Unilever rats subjected to middle cerebral artery occlusion were determined in diffusion- and T2-weighted sequences. For the intra-rater agreement, one investigator assessed the hemispheric and lesional volume in 87 T2-weighted sequences twice within a six-week interval. The correlation was calculated using Krippendorff's alpha and Bland-Altman plots illustrated the agreement.
RESULTS
Inter-rater agreement increased during the first seven weeks and remained at high values (Krippendorff's alpha > 0.88). For intra-rater agreement, Krippendorff's alpha was 0.84 for hemispheric and 0.85 for lesional volume. The Bland-Altman plot indicated solid agreement between raters in the absence of systematic errors.
COMPARISON WITH EXISTING METHODS
Simplified geometrical models or automated methods for planimetry can be used to determine lesional volume, but both approaches are inappropriate to assess hemispheric volume.
CONCLUSION
Computer-assisted planimetry can be an appropriate method to determine hemispheric or ischemic lesion volume in rodents but requires a sufficiently long learning period of approximately two months. Even an experienced investigator can generate data with serious variation. Inter- and intra-rater-dependent bias should be considered during the design and performance of respective studies.

Identifiants

pubmed: 30465797
pii: S0165-0270(18)30380-7
doi: 10.1016/j.jneumeth.2018.11.012
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

12-15

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Tobias Braun (T)

Department of Neurology, Heart & Brain Research Group, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany. Electronic address: Tobias.Braun@neuro.med.uni-giessen.de.

Jan Pukropski (J)

Department of Neurology, Heart & Brain Research Group, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.

Mesut Yeniguen (M)

Department of Neurology, Heart & Brain Research Group, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.

Jasmin El-Shazly (J)

Department of Neurology, Heart & Brain Research Group, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.

Markus Schoenburg (M)

Department of Heart Surgery, Kerckhoff Heart and Thorax Center, Benekestrasse 2-8, 61231, Bad Nauheim, Germany.

Tibo Gerriets (T)

Department of Neurology, Heart & Brain Research Group, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany; Department of Neurology, Gesundheitszentrum Wetterau, Chaumontplatz 1, 61231, Bad Nauheim, Germany.

Manfred Kaps (M)

Department of Neurology, Heart & Brain Research Group, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.

Marlene Tschernatsch (M)

Department of Neurology, Heart & Brain Research Group, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany; Department of Neurology, Gesundheitszentrum Wetterau, Chaumontplatz 1, 61231, Bad Nauheim, Germany.

Martin Juenemann (M)

Department of Neurology, Heart & Brain Research Group, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.

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