Ultrasonic Assessment of the Medial Temporal Lobe Tissue Displacements in Alzheimer’s Disease
We aim to estimate brain tissue displacements in the medial temporal lobe (MTL) using backscattered ultrasound radiofrequency (US RF) signals, and to assess the diagnostic ability of brain tissue displacement parameters for the differentiation of patients with Alzheimer’s disease (AD) from healthy c...
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MDPI AG
2020-07-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/10/7/452 |
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| author | Mindaugas Baranauskas Rytis Jurkonis Arūnas Lukoševičius Monika Makūnaitė Vaidas Matijošaitis Rymantė Gleiznienė Daiva Rastenytė |
| author_facet | Mindaugas Baranauskas Rytis Jurkonis Arūnas Lukoševičius Monika Makūnaitė Vaidas Matijošaitis Rymantė Gleiznienė Daiva Rastenytė |
| author_sort | Mindaugas Baranauskas |
| collection | DOAJ |
| description | We aim to estimate brain tissue displacements in the medial temporal lobe (MTL) using backscattered ultrasound radiofrequency (US RF) signals, and to assess the diagnostic ability of brain tissue displacement parameters for the differentiation of patients with Alzheimer’s disease (AD) from healthy controls (HC). Standard neuropsychological evaluation and transcranial sonography (TCS) for endogenous brain tissue motion data collection are performed for 20 patients with AD and for 20 age- and sex-matched HC in a prospective manner. Essential modifications of our previous method in US waveform parametrization, raising the confidence of micrometer-range displacement signals in the presence of noise, are done. Four logistic regression models are constructed, and receiver operating characteristic (ROC) curve analyses are applied. All models have cut-offs from 61.0 to 68.5% and separate AD patients from HC with a sensitivity of 89.5% and a specificity of 100%. The area under a ROC curve of predicted probability in all models is excellent (from 95.2 to 95.7%). According to our models, AD patients can be differentiated from HC by a sharper morphology of some individual MTL spatial point displacements (i.e., by spreading the spectrum of displacements to the high-end frequencies with higher variability across spatial points within a region), by lower displacement amplitude differences between adjacent spatial points (i.e., lower strain), and by a higher interaction of these attributes. |
| first_indexed | 2024-03-10T18:41:56Z |
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| id | doaj.art-d3653efd7ae04544965c16c6493c4fed |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T18:41:56Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-d3653efd7ae04544965c16c6493c4fed2023-11-20T05:49:14ZengMDPI AGDiagnostics2075-44182020-07-0110745210.3390/diagnostics10070452Ultrasonic Assessment of the Medial Temporal Lobe Tissue Displacements in Alzheimer’s DiseaseMindaugas Baranauskas0Rytis Jurkonis1Arūnas Lukoševičius2Monika Makūnaitė3Vaidas Matijošaitis4Rymantė Gleiznienė5Daiva Rastenytė6Biomedical Engineering Institute, Kaunas University of Technology, K. Baršausko g. 59-454, LT-44029 Kaunas, LithuaniaBiomedical Engineering Institute, Kaunas University of Technology, K. Baršausko g. 59-454, LT-44029 Kaunas, LithuaniaBiomedical Engineering Institute, Kaunas University of Technology, K. Baršausko g. 59-454, LT-44029 Kaunas, LithuaniaBiomedical Engineering Institute, Kaunas University of Technology, K. Baršausko g. 59-454, LT-44029 Kaunas, LithuaniaLithuanian University of Health Sciences, A. Mickevičiaus g. 9, LT-44307 Kaunas, LithuaniaLithuanian University of Health Sciences, A. Mickevičiaus g. 9, LT-44307 Kaunas, LithuaniaLithuanian University of Health Sciences, A. Mickevičiaus g. 9, LT-44307 Kaunas, LithuaniaWe aim to estimate brain tissue displacements in the medial temporal lobe (MTL) using backscattered ultrasound radiofrequency (US RF) signals, and to assess the diagnostic ability of brain tissue displacement parameters for the differentiation of patients with Alzheimer’s disease (AD) from healthy controls (HC). Standard neuropsychological evaluation and transcranial sonography (TCS) for endogenous brain tissue motion data collection are performed for 20 patients with AD and for 20 age- and sex-matched HC in a prospective manner. Essential modifications of our previous method in US waveform parametrization, raising the confidence of micrometer-range displacement signals in the presence of noise, are done. Four logistic regression models are constructed, and receiver operating characteristic (ROC) curve analyses are applied. All models have cut-offs from 61.0 to 68.5% and separate AD patients from HC with a sensitivity of 89.5% and a specificity of 100%. The area under a ROC curve of predicted probability in all models is excellent (from 95.2 to 95.7%). According to our models, AD patients can be differentiated from HC by a sharper morphology of some individual MTL spatial point displacements (i.e., by spreading the spectrum of displacements to the high-end frequencies with higher variability across spatial points within a region), by lower displacement amplitude differences between adjacent spatial points (i.e., lower strain), and by a higher interaction of these attributes.https://www.mdpi.com/2075-4418/10/7/452Alzheimer’s diseasebrain pulsationstrainsonographyradiofrequency ultrasounddiagnostic |
| spellingShingle | Mindaugas Baranauskas Rytis Jurkonis Arūnas Lukoševičius Monika Makūnaitė Vaidas Matijošaitis Rymantė Gleiznienė Daiva Rastenytė Ultrasonic Assessment of the Medial Temporal Lobe Tissue Displacements in Alzheimer’s Disease Diagnostics Alzheimer’s disease brain pulsation strain sonography radiofrequency ultrasound diagnostic |
| title | Ultrasonic Assessment of the Medial Temporal Lobe Tissue Displacements in Alzheimer’s Disease |
| title_full | Ultrasonic Assessment of the Medial Temporal Lobe Tissue Displacements in Alzheimer’s Disease |
| title_fullStr | Ultrasonic Assessment of the Medial Temporal Lobe Tissue Displacements in Alzheimer’s Disease |
| title_full_unstemmed | Ultrasonic Assessment of the Medial Temporal Lobe Tissue Displacements in Alzheimer’s Disease |
| title_short | Ultrasonic Assessment of the Medial Temporal Lobe Tissue Displacements in Alzheimer’s Disease |
| title_sort | ultrasonic assessment of the medial temporal lobe tissue displacements in alzheimer s disease |
| topic | Alzheimer’s disease brain pulsation strain sonography radiofrequency ultrasound diagnostic |
| url | https://www.mdpi.com/2075-4418/10/7/452 |
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