التفاصيل البيبلوغرافية
| العنوان: |
Diagnostic Ability of Radiofrequency Ultrasound in Parkinson’s Disease Compared to Conventional Transcranial Sonography and Magnetic Resonance Imaging |
| المؤلفون: |
Mindaugas Baranauskas, Rytis Jurkonis, Arūnas Lukoševičius, Vaidas Matijošaitis, Rymantė Gleiznienė, Daiva Rastenytė |
| المصدر: |
Diagnostics; Volume 10; Issue 10; Pages: 778 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2020 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
Parkinson’s disease, brain tissue micromovements, displacement waveform, radiofrequency ultrasound, transcranial sonography |
| الوصف: |
We aimed to estimate tissue displacements’ parameters in midbrain using ultrasound radiofrequency (RF) signals and to compare diagnostic ability of this RF transcranial sonography (TCS)-based dynamic features of disease affected tissues with conventional TCS (cTCS) and magnetic resonance imaging (MRI) while differentiating patients with Parkinson’s disease (PD) from healthy controls (HC). US tissue displacement waveform parametrization by RF TCS for endogenous brain tissue motion, standard neurological examination, cTCS and MRI data collection were performed for 20 PD patients and for 20 age- and sex-matched HC in a prospective manner. Three logistic regression models were constructed, and receiver operating characteristic (ROC) curve analyses were applied. The model constructed of RF TCS-based brain tissue displacement parameters—frequency of high-end spectra peak and root mean square—revealed presumably increased anisotropy in the midbrain and demonstrated rather good diagnostic ability in the PD evaluation, although it was not superior to that of the cTCS or MRI. Future studies are needed in order to establish the true place of RF TCS detected tissue displacement parameters for the evaluation of pathologically affected brain tissue. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Medical Imaging; https://dx.doi.org/10.3390/diagnostics10100778 |
| DOI: |
10.3390/diagnostics10100778 |
| الاتاحة: |
https://doi.org/10.3390/diagnostics10100778 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.E7099571 |
| قاعدة البيانات: |
BASE |