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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10296215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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