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Excellent Interrater Reliability for Manual Segmentation of the Medial Perirhinal Cortex

Objective: Evaluation of interrater reliability for manual segmentation of brain structures that are affected first by neurofibrillary tau pathology in Alzheimer’s disease. Method: Medial perirhinal cortex, lateral perirhinal cortex, and entorhinal cortex were manually segmented by two raters on str...

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Detalles Bibliográficos
Autores principales: Henzen, Nicolas A., Reinhardt, Julia, Blatow, Maria, Kressig, Reto W., Krumm, Sabine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296215/
https://www.ncbi.nlm.nih.gov/pubmed/37371329
http://dx.doi.org/10.3390/brainsci13060850
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author Henzen, Nicolas A.
Reinhardt, Julia
Blatow, Maria
Kressig, Reto W.
Krumm, Sabine
author_facet Henzen, Nicolas A.
Reinhardt, Julia
Blatow, Maria
Kressig, Reto W.
Krumm, Sabine
author_sort Henzen, Nicolas A.
collection PubMed
description Objective: Evaluation of interrater reliability for manual segmentation of brain structures that are affected first by neurofibrillary tau pathology in Alzheimer’s disease. Method: Medial perirhinal cortex, lateral perirhinal cortex, and entorhinal cortex were manually segmented by two raters on structural magnetic resonance images of 44 adults (20 men; mean age = 69.2 ± 10.4 years). Intraclass correlation coefficients (ICC) of cortical thickness and volumes were calculated. Results: Very high ICC values of manual segmentation for the cortical thickness of all regions (0.953–0.986) and consistently lower ICC values for volume estimates of the medial and lateral perirhinal cortex (0.705–0.874). Conclusions: The applied manual segmentation protocol allows different raters to achieve remarkably similar cortical thickness estimates for regions of the parahippocampal gyrus. In addition, the results suggest a preference for cortical thickness over volume as a reliable measure of atrophy, especially for regions affected by collateral sulcus variability (i.e., medial and lateral perirhinal cortex). The results provide a basis for future automated segmentation and collection of normative data.
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spelling pubmed-102962152023-06-28 Excellent Interrater Reliability for Manual Segmentation of the Medial Perirhinal Cortex Henzen, Nicolas A. Reinhardt, Julia Blatow, Maria Kressig, Reto W. Krumm, Sabine Brain Sci Article Objective: Evaluation of interrater reliability for manual segmentation of brain structures that are affected first by neurofibrillary tau pathology in Alzheimer’s disease. Method: Medial perirhinal cortex, lateral perirhinal cortex, and entorhinal cortex were manually segmented by two raters on structural magnetic resonance images of 44 adults (20 men; mean age = 69.2 ± 10.4 years). Intraclass correlation coefficients (ICC) of cortical thickness and volumes were calculated. Results: Very high ICC values of manual segmentation for the cortical thickness of all regions (0.953–0.986) and consistently lower ICC values for volume estimates of the medial and lateral perirhinal cortex (0.705–0.874). Conclusions: The applied manual segmentation protocol allows different raters to achieve remarkably similar cortical thickness estimates for regions of the parahippocampal gyrus. In addition, the results suggest a preference for cortical thickness over volume as a reliable measure of atrophy, especially for regions affected by collateral sulcus variability (i.e., medial and lateral perirhinal cortex). The results provide a basis for future automated segmentation and collection of normative data. MDPI 2023-05-24 /pmc/articles/PMC10296215/ /pubmed/37371329 http://dx.doi.org/10.3390/brainsci13060850 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Henzen, Nicolas A.
Reinhardt, Julia
Blatow, Maria
Kressig, Reto W.
Krumm, Sabine
Excellent Interrater Reliability for Manual Segmentation of the Medial Perirhinal Cortex
title Excellent Interrater Reliability for Manual Segmentation of the Medial Perirhinal Cortex
title_full Excellent Interrater Reliability for Manual Segmentation of the Medial Perirhinal Cortex
title_fullStr Excellent Interrater Reliability for Manual Segmentation of the Medial Perirhinal Cortex
title_full_unstemmed Excellent Interrater Reliability for Manual Segmentation of the Medial Perirhinal Cortex
title_short Excellent Interrater Reliability for Manual Segmentation of the Medial Perirhinal Cortex
title_sort excellent interrater reliability for manual segmentation of the medial perirhinal cortex
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296215/
https://www.ncbi.nlm.nih.gov/pubmed/37371329
http://dx.doi.org/10.3390/brainsci13060850
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