Cargando…
Imaging Characteristics for Predicting Cognitive Impairment in Patients With Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy
OBJECTIVES: Patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) show various clinical symptoms, including migraine, recurrent stroke, and cognitive impairment. We investigated the associations between magnetic resonance imaging (MRI) mar...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226637/ https://www.ncbi.nlm.nih.gov/pubmed/35754959 http://dx.doi.org/10.3389/fnagi.2022.876437 |
_version_ | 1784733951650168832 |
---|---|
author | Taniguchi, Akira Shindo, Akihiro Tabei, Ken-ichi Onodera, Osamu Ando, Yukio Urabe, Takao Kimura, Kazumi Kitagawa, Kazuo Miyamoto, Yoshihiro Takegami, Misa Ihara, Masafumi Mizuta, Ikuko Mizuno, Toshiki Tomimoto, Hidekazu |
author_facet | Taniguchi, Akira Shindo, Akihiro Tabei, Ken-ichi Onodera, Osamu Ando, Yukio Urabe, Takao Kimura, Kazumi Kitagawa, Kazuo Miyamoto, Yoshihiro Takegami, Misa Ihara, Masafumi Mizuta, Ikuko Mizuno, Toshiki Tomimoto, Hidekazu |
author_sort | Taniguchi, Akira |
collection | PubMed |
description | OBJECTIVES: Patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) show various clinical symptoms, including migraine, recurrent stroke, and cognitive impairment. We investigated the associations between magnetic resonance imaging (MRI) markers of small vessel disease and neuropsychological tests and identified the MRI characteristics for predicting cognitive impairment in patients with CADASIL. METHODS: Subjects included 60 CADASIL patients diagnosed with genetic tests and registered in the Japanese CADASIL REDCap database between June 2016 and December 2020. Patient information including clinical data, modified Rankin Scale (mRS); MRI findings of small vessel disease including periventricular and deep white matter lesions (WML), lacunar infarcts, and cerebral microbleeds (CMBs); and neuropsychological tests, including the Japanese version of the Mini-Mental State Examination (MMSE), the Japanese version of the Montreal Cognitive Assessment (MoCA-J), and the Frontal Assessment Battery (FAB), were evaluated. RESULTS: Data from 44 CADASIL patients were eligible for this study, compared between patients with and without dementia. Regarding the neuroimaging findings, the Fazekas score of periventricular and deep WML was higher in patients with dementia (periventricular, p = 0.003; deep, p = 0.009). The number of lacunar infarcts was higher in patients with dementia (p = 0.001). The standardized partial regression coefficient (SPRC) in MoCA-J was 0.826 (95% CI, 0.723–0.942; p = 0.005) for the number of CMBs. The SPRC in MMSE was 0.826 (95% CI, 0.719–0.949; p = 0.007) for the number of CMBs. The SPRC for FAB decreased significantly to 0.728 (95% CI, 0.551–0.960; p = 0.024) for the number of lacunar infarcts. Receiver operating characteristic (ROC) curves for dementia showed that in the number of lacunar infarcts, a cut-off score of 5.5 showed 90.9% sensitivity and 61.1% specificity. For the number of CMBs, a cut-off score of 18.5 showed 45.5% sensitivity and 100% specificity. CONCLUSION: The characteristic MRI findings were that CADASIL patients with dementia had severe WML, both periventricular and deep, and a larger number of lacunar infarcts than those without dementia. The risk of dementia may be associated with ≥ 6 lacunar infarcts, ≥19 CMBs, or a Fazekas scale score of 3 in periventricular and deep WML. |
format | Online Article Text |
id | pubmed-9226637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92266372022-06-25 Imaging Characteristics for Predicting Cognitive Impairment in Patients With Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy Taniguchi, Akira Shindo, Akihiro Tabei, Ken-ichi Onodera, Osamu Ando, Yukio Urabe, Takao Kimura, Kazumi Kitagawa, Kazuo Miyamoto, Yoshihiro Takegami, Misa Ihara, Masafumi Mizuta, Ikuko Mizuno, Toshiki Tomimoto, Hidekazu Front Aging Neurosci Neuroscience OBJECTIVES: Patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) show various clinical symptoms, including migraine, recurrent stroke, and cognitive impairment. We investigated the associations between magnetic resonance imaging (MRI) markers of small vessel disease and neuropsychological tests and identified the MRI characteristics for predicting cognitive impairment in patients with CADASIL. METHODS: Subjects included 60 CADASIL patients diagnosed with genetic tests and registered in the Japanese CADASIL REDCap database between June 2016 and December 2020. Patient information including clinical data, modified Rankin Scale (mRS); MRI findings of small vessel disease including periventricular and deep white matter lesions (WML), lacunar infarcts, and cerebral microbleeds (CMBs); and neuropsychological tests, including the Japanese version of the Mini-Mental State Examination (MMSE), the Japanese version of the Montreal Cognitive Assessment (MoCA-J), and the Frontal Assessment Battery (FAB), were evaluated. RESULTS: Data from 44 CADASIL patients were eligible for this study, compared between patients with and without dementia. Regarding the neuroimaging findings, the Fazekas score of periventricular and deep WML was higher in patients with dementia (periventricular, p = 0.003; deep, p = 0.009). The number of lacunar infarcts was higher in patients with dementia (p = 0.001). The standardized partial regression coefficient (SPRC) in MoCA-J was 0.826 (95% CI, 0.723–0.942; p = 0.005) for the number of CMBs. The SPRC in MMSE was 0.826 (95% CI, 0.719–0.949; p = 0.007) for the number of CMBs. The SPRC for FAB decreased significantly to 0.728 (95% CI, 0.551–0.960; p = 0.024) for the number of lacunar infarcts. Receiver operating characteristic (ROC) curves for dementia showed that in the number of lacunar infarcts, a cut-off score of 5.5 showed 90.9% sensitivity and 61.1% specificity. For the number of CMBs, a cut-off score of 18.5 showed 45.5% sensitivity and 100% specificity. CONCLUSION: The characteristic MRI findings were that CADASIL patients with dementia had severe WML, both periventricular and deep, and a larger number of lacunar infarcts than those without dementia. The risk of dementia may be associated with ≥ 6 lacunar infarcts, ≥19 CMBs, or a Fazekas scale score of 3 in periventricular and deep WML. Frontiers Media S.A. 2022-06-10 /pmc/articles/PMC9226637/ /pubmed/35754959 http://dx.doi.org/10.3389/fnagi.2022.876437 Text en Copyright © 2022 Taniguchi, Shindo, Tabei, Onodera, Ando, Urabe, Kimura, Kitagawa, Miyamoto, Takegami, Ihara, Mizuta, Mizuno and Tomimoto. 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 | Neuroscience Taniguchi, Akira Shindo, Akihiro Tabei, Ken-ichi Onodera, Osamu Ando, Yukio Urabe, Takao Kimura, Kazumi Kitagawa, Kazuo Miyamoto, Yoshihiro Takegami, Misa Ihara, Masafumi Mizuta, Ikuko Mizuno, Toshiki Tomimoto, Hidekazu Imaging Characteristics for Predicting Cognitive Impairment in Patients With Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy |
title | Imaging Characteristics for Predicting Cognitive Impairment in Patients With Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy |
title_full | Imaging Characteristics for Predicting Cognitive Impairment in Patients With Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy |
title_fullStr | Imaging Characteristics for Predicting Cognitive Impairment in Patients With Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy |
title_full_unstemmed | Imaging Characteristics for Predicting Cognitive Impairment in Patients With Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy |
title_short | Imaging Characteristics for Predicting Cognitive Impairment in Patients With Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy |
title_sort | imaging characteristics for predicting cognitive impairment in patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226637/ https://www.ncbi.nlm.nih.gov/pubmed/35754959 http://dx.doi.org/10.3389/fnagi.2022.876437 |
work_keys_str_mv | AT taniguchiakira imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT shindoakihiro imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT tabeikenichi imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT onoderaosamu imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT andoyukio imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT urabetakao imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT kimurakazumi imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT kitagawakazuo imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT miyamotoyoshihiro imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT takegamimisa imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT iharamasafumi imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT mizutaikuko imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT mizunotoshiki imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy AT tomimotohidekazu imagingcharacteristicsforpredictingcognitiveimpairmentinpatientswithcerebralautosomaldominantarteriopathywithsubcorticalinfarctsandleukoencephalopathy |