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MRI-based Alzheimer’s disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer’s disease
Alzheimer’s Disease-resemblance atrophy index (AD-RAI) is an MRI-based machine learning derived biomarker that was developed to reflect the characteristic brain atrophy associated with AD. Recent study showed that AD-RAI (≥0.5) had the best performance in predicting conversion from mild cognitive im...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202853/ https://www.ncbi.nlm.nih.gov/pubmed/34091443 http://dx.doi.org/10.18632/aging.203082 |
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author | Liu, Wanting Au, Lisa Wing Chi Abrigo, Jill Luo, Yishan Wong, Adrian Lam, Bonnie Yin Ka Fan, Xiang Kwan, Pauline Wing Lam Ma, Hon Wing Ng, Anthea Yee Tung Chen, Sirong Leung, Eric Yim Lung Ho, Chi Lai Wong, Simon Ho Man Chu, Winnie CW Ko, Ho Lau, Alexander Yuk Lun Shi, Lin Mok, Vincent Chung Tong |
author_facet | Liu, Wanting Au, Lisa Wing Chi Abrigo, Jill Luo, Yishan Wong, Adrian Lam, Bonnie Yin Ka Fan, Xiang Kwan, Pauline Wing Lam Ma, Hon Wing Ng, Anthea Yee Tung Chen, Sirong Leung, Eric Yim Lung Ho, Chi Lai Wong, Simon Ho Man Chu, Winnie CW Ko, Ho Lau, Alexander Yuk Lun Shi, Lin Mok, Vincent Chung Tong |
author_sort | Liu, Wanting |
collection | PubMed |
description | Alzheimer’s Disease-resemblance atrophy index (AD-RAI) is an MRI-based machine learning derived biomarker that was developed to reflect the characteristic brain atrophy associated with AD. Recent study showed that AD-RAI (≥0.5) had the best performance in predicting conversion from mild cognitive impairment (MCI) to dementia and from cognitively unimpaired (CU) to MCI. We aimed to validate the performance of AD-RAI in detecting preclinical and prodromal AD. We recruited 128 subjects (MCI=50, CU=78) from two cohorts: CU-SEEDS and ADNI. Amyloid (A+) and tau (T+) status were confirmed by PET ((11)C-PIB, (18)F-T807) or CSF analysis. We investigated the performance of AD-RAI in detecting preclinical and prodromal AD (i.e. A+T+) among MCI and CU subjects and compared its performance with that of hippocampal measures. AD-RAI achieved the best metrics among all subjects (sensitivity 0.74, specificity 0.91, accuracy 85.94%) and among MCI subjects (sensitivity 0.92, specificity 0.81, accuracy 86.00%) in detecting A+T+ subjects over other measures. Among CU subjects, AD-RAI yielded the best specificity (0.95) and accuracy (85.90%) over other measures, while hippocampal volume achieved a higher sensitivity (0.73) than AD-RAI (0.47) in detecting preclinical AD. These results showed the potential of AD-RAI in the detection of early AD, in particular at the prodromal stage. |
format | Online Article Text |
id | pubmed-8202853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-82028532021-06-15 MRI-based Alzheimer’s disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer’s disease Liu, Wanting Au, Lisa Wing Chi Abrigo, Jill Luo, Yishan Wong, Adrian Lam, Bonnie Yin Ka Fan, Xiang Kwan, Pauline Wing Lam Ma, Hon Wing Ng, Anthea Yee Tung Chen, Sirong Leung, Eric Yim Lung Ho, Chi Lai Wong, Simon Ho Man Chu, Winnie CW Ko, Ho Lau, Alexander Yuk Lun Shi, Lin Mok, Vincent Chung Tong Aging (Albany NY) Research Paper Alzheimer’s Disease-resemblance atrophy index (AD-RAI) is an MRI-based machine learning derived biomarker that was developed to reflect the characteristic brain atrophy associated with AD. Recent study showed that AD-RAI (≥0.5) had the best performance in predicting conversion from mild cognitive impairment (MCI) to dementia and from cognitively unimpaired (CU) to MCI. We aimed to validate the performance of AD-RAI in detecting preclinical and prodromal AD. We recruited 128 subjects (MCI=50, CU=78) from two cohorts: CU-SEEDS and ADNI. Amyloid (A+) and tau (T+) status were confirmed by PET ((11)C-PIB, (18)F-T807) or CSF analysis. We investigated the performance of AD-RAI in detecting preclinical and prodromal AD (i.e. A+T+) among MCI and CU subjects and compared its performance with that of hippocampal measures. AD-RAI achieved the best metrics among all subjects (sensitivity 0.74, specificity 0.91, accuracy 85.94%) and among MCI subjects (sensitivity 0.92, specificity 0.81, accuracy 86.00%) in detecting A+T+ subjects over other measures. Among CU subjects, AD-RAI yielded the best specificity (0.95) and accuracy (85.90%) over other measures, while hippocampal volume achieved a higher sensitivity (0.73) than AD-RAI (0.47) in detecting preclinical AD. These results showed the potential of AD-RAI in the detection of early AD, in particular at the prodromal stage. Impact Journals 2021-05-25 /pmc/articles/PMC8202853/ /pubmed/34091443 http://dx.doi.org/10.18632/aging.203082 Text en Copyright: © 2021 Liu et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Liu, Wanting Au, Lisa Wing Chi Abrigo, Jill Luo, Yishan Wong, Adrian Lam, Bonnie Yin Ka Fan, Xiang Kwan, Pauline Wing Lam Ma, Hon Wing Ng, Anthea Yee Tung Chen, Sirong Leung, Eric Yim Lung Ho, Chi Lai Wong, Simon Ho Man Chu, Winnie CW Ko, Ho Lau, Alexander Yuk Lun Shi, Lin Mok, Vincent Chung Tong MRI-based Alzheimer’s disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer’s disease |
title | MRI-based Alzheimer’s disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer’s disease |
title_full | MRI-based Alzheimer’s disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer’s disease |
title_fullStr | MRI-based Alzheimer’s disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer’s disease |
title_full_unstemmed | MRI-based Alzheimer’s disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer’s disease |
title_short | MRI-based Alzheimer’s disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer’s disease |
title_sort | mri-based alzheimer’s disease-resemblance atrophy index in the detection of preclinical and prodromal alzheimer’s disease |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202853/ https://www.ncbi.nlm.nih.gov/pubmed/34091443 http://dx.doi.org/10.18632/aging.203082 |
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