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Open AccessArticle

Diagnostic Ability of Radiofrequency Ultrasound in Parkinson’s Disease Compared to Conventional Transcranial Sonography and Magnetic Resonance Imaging

1
Biomedical Engineering Institute, Kaunas University of Technology, K. Baršausko g. 59-454, LT-44029 Kaunas, Lithuania
2
Department of Neurology, Medical Academy, Lithuanian University of Health Sciences, A. Mickevičiaus g. 9, LT-44307 Kaunas, Lithuania
3
Department of Radiology, Medical Academy, Lithuanian University of Health Sciences, A. Mickevičiaus g. 9, LT-44307 Kaunas, Lithuania
*
Authors to whom correspondence should be addressed.
Diagnostics 2020, 10(10), 778; https://doi.org/10.3390/diagnostics10100778
Received: 11 August 2020 / Revised: 28 September 2020 / Accepted: 30 September 2020 / Published: 2 October 2020
(This article belongs to the Special Issue Brain Imaging/Neuroimaging)
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. View Full-Text
Keywords: Parkinson’s disease; brain tissue micromovements; displacement waveform; radiofrequency ultrasound; transcranial sonography Parkinson’s disease; brain tissue micromovements; displacement waveform; radiofrequency ultrasound; transcranial sonography
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MDPI and ACS Style

Baranauskas, M.; Jurkonis, R.; Lukoševičius, A.; Matijošaitis, V.; Gleiznienė, R.; Rastenytė, D. Diagnostic Ability of Radiofrequency Ultrasound in Parkinson’s Disease Compared to Conventional Transcranial Sonography and Magnetic Resonance Imaging. Diagnostics 2020, 10, 778. https://doi.org/10.3390/diagnostics10100778

AMA Style

Baranauskas M, Jurkonis R, Lukoševičius A, Matijošaitis V, Gleiznienė R, Rastenytė D. Diagnostic Ability of Radiofrequency Ultrasound in Parkinson’s Disease Compared to Conventional Transcranial Sonography and Magnetic Resonance Imaging. Diagnostics. 2020; 10(10):778. https://doi.org/10.3390/diagnostics10100778

Chicago/Turabian Style

Baranauskas, Mindaugas; Jurkonis, Rytis; Lukoševičius, Arūnas; Matijošaitis, Vaidas; Gleiznienė, Rymantė; Rastenytė, Daiva. 2020. "Diagnostic Ability of Radiofrequency Ultrasound in Parkinson’s Disease Compared to Conventional Transcranial Sonography and Magnetic Resonance Imaging" Diagnostics 10, no. 10: 778. https://doi.org/10.3390/diagnostics10100778

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