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Limits on using the clock drawing test as a measure to evaluate patients with neurological disorders
BACKGROUND: The Clock Drawing Test (CDT) is used as a quick-to-conduct test for the diagnosis of dementia and a screening tool for cognitive impairments in neurological disorders. However, the association between the pattern of CDT impairments and the location of brain lesions has been controversial...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805016/ https://www.ncbi.nlm.nih.gov/pubmed/36585622 http://dx.doi.org/10.1186/s12883-022-03035-z |
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author | Heyrani, Raheleh Sarabi-Jamab, Atiye Grafman, Jordan Asadi, Nesa Soltani, Sarvenaz Mirfazeli, Fatemeh Sadat Almasi-Dooghaei, Mostafa Shariat, Seyed Vahid Jahanbakhshi, Amin Khoeini, Tara Joghataei, Mohammad Taghi |
author_facet | Heyrani, Raheleh Sarabi-Jamab, Atiye Grafman, Jordan Asadi, Nesa Soltani, Sarvenaz Mirfazeli, Fatemeh Sadat Almasi-Dooghaei, Mostafa Shariat, Seyed Vahid Jahanbakhshi, Amin Khoeini, Tara Joghataei, Mohammad Taghi |
author_sort | Heyrani, Raheleh |
collection | PubMed |
description | BACKGROUND: The Clock Drawing Test (CDT) is used as a quick-to-conduct test for the diagnosis of dementia and a screening tool for cognitive impairments in neurological disorders. However, the association between the pattern of CDT impairments and the location of brain lesions has been controversial. We examined whether there is an association between the CDT scores and the location of brain lesions using the two available scoring systems. METHOD: One hundred five patients with brain lesions identified by CT scanning were recruited for this study. The Montreal Cognitive Assessment (MoCA) battery including the CDT were administered to all partcipants. To score the CDT, we used a qualitative scoring system devised by Rouleau et al. (1992). For the quantitative scoring system, we adapted the algorithm method used by Mendes-Santos et al. (2015) based on an earlier study by Sunderland et al. (1989). For analyses, a machine learning algorithm was used. RESULTS: Remarkably, 30% of the patients were not detected by the CDT. Quantitative and qualitative errors were categorized into different clusters. The classification algorithm did not differentiate the patients with traumatic brain injury ‘TBI’ from non-TBI, or the laterality of the lesion. In addition, the classification accuracy for identifying patients with specific lobe lesions was low, except for the parietal lobe with an accuracy of 63%. CONCLUSION: The CDT is not an accurate tool for detecting focal brain lesions. While the CDT still is beneficial for use with patients suspected of having a neurodegenerative disorder, it should be cautiously used with patients with focal neurological disorders. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-022-03035-z. |
format | Online Article Text |
id | pubmed-9805016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98050162023-01-01 Limits on using the clock drawing test as a measure to evaluate patients with neurological disorders Heyrani, Raheleh Sarabi-Jamab, Atiye Grafman, Jordan Asadi, Nesa Soltani, Sarvenaz Mirfazeli, Fatemeh Sadat Almasi-Dooghaei, Mostafa Shariat, Seyed Vahid Jahanbakhshi, Amin Khoeini, Tara Joghataei, Mohammad Taghi BMC Neurol Research BACKGROUND: The Clock Drawing Test (CDT) is used as a quick-to-conduct test for the diagnosis of dementia and a screening tool for cognitive impairments in neurological disorders. However, the association between the pattern of CDT impairments and the location of brain lesions has been controversial. We examined whether there is an association between the CDT scores and the location of brain lesions using the two available scoring systems. METHOD: One hundred five patients with brain lesions identified by CT scanning were recruited for this study. The Montreal Cognitive Assessment (MoCA) battery including the CDT were administered to all partcipants. To score the CDT, we used a qualitative scoring system devised by Rouleau et al. (1992). For the quantitative scoring system, we adapted the algorithm method used by Mendes-Santos et al. (2015) based on an earlier study by Sunderland et al. (1989). For analyses, a machine learning algorithm was used. RESULTS: Remarkably, 30% of the patients were not detected by the CDT. Quantitative and qualitative errors were categorized into different clusters. The classification algorithm did not differentiate the patients with traumatic brain injury ‘TBI’ from non-TBI, or the laterality of the lesion. In addition, the classification accuracy for identifying patients with specific lobe lesions was low, except for the parietal lobe with an accuracy of 63%. CONCLUSION: The CDT is not an accurate tool for detecting focal brain lesions. While the CDT still is beneficial for use with patients suspected of having a neurodegenerative disorder, it should be cautiously used with patients with focal neurological disorders. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-022-03035-z. BioMed Central 2022-12-31 /pmc/articles/PMC9805016/ /pubmed/36585622 http://dx.doi.org/10.1186/s12883-022-03035-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Heyrani, Raheleh Sarabi-Jamab, Atiye Grafman, Jordan Asadi, Nesa Soltani, Sarvenaz Mirfazeli, Fatemeh Sadat Almasi-Dooghaei, Mostafa Shariat, Seyed Vahid Jahanbakhshi, Amin Khoeini, Tara Joghataei, Mohammad Taghi Limits on using the clock drawing test as a measure to evaluate patients with neurological disorders |
title | Limits on using the clock drawing test as a measure to evaluate patients with neurological disorders |
title_full | Limits on using the clock drawing test as a measure to evaluate patients with neurological disorders |
title_fullStr | Limits on using the clock drawing test as a measure to evaluate patients with neurological disorders |
title_full_unstemmed | Limits on using the clock drawing test as a measure to evaluate patients with neurological disorders |
title_short | Limits on using the clock drawing test as a measure to evaluate patients with neurological disorders |
title_sort | limits on using the clock drawing test as a measure to evaluate patients with neurological disorders |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805016/ https://www.ncbi.nlm.nih.gov/pubmed/36585622 http://dx.doi.org/10.1186/s12883-022-03035-z |
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