Inter- and Intra-Rater Reliability of Computer-Assisted Planimetry in Experimental Stroke Research.
J Neurosci Methods. 2018 Nov 19;:
Authors: Braun T, Pukropski J, Yeniguen M, El-Shazly J, Schoenburg M, Gerriets T, Kaps M, Tschernatsch M, Juenemann M
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.
PMID: 30465797 [PubMed – as supplied by publisher]