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Measurement Accuracy of Freezing of Gait Scoring Based on Videos
Freezing of gait (FOG) is a common symptom in the late stages of Parkinson’s disease and related disorders. Videos are the gold standard method to conduct FOG scoring; however, the measurement accuracy of FOG scoring based on videos has not been formally assessed, despite its use in previous studies...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160378/ https://www.ncbi.nlm.nih.gov/pubmed/35664344 http://dx.doi.org/10.3389/fnhum.2022.828355 |
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author | Kondo, Yuki Mizuno, Katsuhiro Bando, Kyota Suzuki, Ippei Nakamura, Takuya Hashide, Shusei Kadone, Hideki Suzuki, Kenji |
author_facet | Kondo, Yuki Mizuno, Katsuhiro Bando, Kyota Suzuki, Ippei Nakamura, Takuya Hashide, Shusei Kadone, Hideki Suzuki, Kenji |
author_sort | Kondo, Yuki |
collection | PubMed |
description | Freezing of gait (FOG) is a common symptom in the late stages of Parkinson’s disease and related disorders. Videos are the gold standard method to conduct FOG scoring; however, the measurement accuracy of FOG scoring based on videos has not been formally assessed, despite its use in previous studies. This study aimed to calculate the measurement accuracy of video-based FOG scoring. Three evaluators scored the FOG based on 157 video data points collected from 21 patients using an annotation tool. One evaluator measured the intra-rater reliability of the retest. The total duration of observed FOG, percentage of the time spent with FOG during the walking task (%FOG), and FOG phenotypes (shuffling, trembling, and complete akinesia) were evaluated. Intraclass correlation coefficients were used to determine the intra- and inter-rater reliabilities. The duration of FOG and %FOG showed good measurement accuracy for both intra-rater and inter-rater reliabilities. However, the FOG phenotypes showed poor measurement accuracy in inter-rater reliability. These results indicate that the temporal characteristics of FOG can be scored with a high degree of measurement accuracy, even with different evaluators; conversely, the FOG phenotypes need to be scored by several evaluators. |
format | Online Article Text |
id | pubmed-9160378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91603782022-06-03 Measurement Accuracy of Freezing of Gait Scoring Based on Videos Kondo, Yuki Mizuno, Katsuhiro Bando, Kyota Suzuki, Ippei Nakamura, Takuya Hashide, Shusei Kadone, Hideki Suzuki, Kenji Front Hum Neurosci Human Neuroscience Freezing of gait (FOG) is a common symptom in the late stages of Parkinson’s disease and related disorders. Videos are the gold standard method to conduct FOG scoring; however, the measurement accuracy of FOG scoring based on videos has not been formally assessed, despite its use in previous studies. This study aimed to calculate the measurement accuracy of video-based FOG scoring. Three evaluators scored the FOG based on 157 video data points collected from 21 patients using an annotation tool. One evaluator measured the intra-rater reliability of the retest. The total duration of observed FOG, percentage of the time spent with FOG during the walking task (%FOG), and FOG phenotypes (shuffling, trembling, and complete akinesia) were evaluated. Intraclass correlation coefficients were used to determine the intra- and inter-rater reliabilities. The duration of FOG and %FOG showed good measurement accuracy for both intra-rater and inter-rater reliabilities. However, the FOG phenotypes showed poor measurement accuracy in inter-rater reliability. These results indicate that the temporal characteristics of FOG can be scored with a high degree of measurement accuracy, even with different evaluators; conversely, the FOG phenotypes need to be scored by several evaluators. Frontiers Media S.A. 2022-05-19 /pmc/articles/PMC9160378/ /pubmed/35664344 http://dx.doi.org/10.3389/fnhum.2022.828355 Text en Copyright © 2022 Kondo, Mizuno, Bando, Suzuki, Nakamura, Hashide, Kadone and Suzuki. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Human Neuroscience Kondo, Yuki Mizuno, Katsuhiro Bando, Kyota Suzuki, Ippei Nakamura, Takuya Hashide, Shusei Kadone, Hideki Suzuki, Kenji Measurement Accuracy of Freezing of Gait Scoring Based on Videos |
title | Measurement Accuracy of Freezing of Gait Scoring Based on Videos |
title_full | Measurement Accuracy of Freezing of Gait Scoring Based on Videos |
title_fullStr | Measurement Accuracy of Freezing of Gait Scoring Based on Videos |
title_full_unstemmed | Measurement Accuracy of Freezing of Gait Scoring Based on Videos |
title_short | Measurement Accuracy of Freezing of Gait Scoring Based on Videos |
title_sort | measurement accuracy of freezing of gait scoring based on videos |
topic | Human Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160378/ https://www.ncbi.nlm.nih.gov/pubmed/35664344 http://dx.doi.org/10.3389/fnhum.2022.828355 |
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