Partner: M. Wrobel

Sonovum A.G., Leipzig, (DE)

Abstrakty konferencyjne
1.Olszewski R., Dobkowska-Chudon W., Wrobel M., Karlowicz P., Dabrowski A., Krupienicz A., Targowski T., Nowicki A., Is Acoustocerebrography a new noninvasive method for early detection of the brain changes in patients with hypertension ?, ESC Congress 2017, European Society of Cardiology Congress 2017, 26-30 August, Barcelona, Spain, 2017-08-26/08-30, Barcelona (ES), DOI: 10.1093/eurheartj/ehx501.P190, No.38 1, pp.36, 2017

Streszczenie:

Background: Hypertension (HT) is the leading cause of global disease burden and overall health loss. The brain is one of the main target organs affected by HT. HT is a potentially modifiable risk factor that leads to the formation of large vessel macroangiopathy, small vessel disease, microangiopathy, and microhemorrhages. Early detection of the brain changes (BC) gives a chance to receive appropriate treatment and protection from irreversible damage. Acoustocerebrography (ACG) is a set of techniques to capture the states of human brain tissue, and its changes on its molecular and cellular level. It is based on noninvasive measurements of various parameters obtained by analyzing an ultrasound pulse emitted across the human's skull. The main idea of this method relies in the relation between the tissue density, bulk modulus, and speed of propagation, for ultrasound waves in this medium. In our previous studies we showed that ACG is an effective method for detecting white matter lesions compared to the Magnetic Resonance Imaging. Additionally we showed that ACG allows to obtain a differentiated signal originates from atrial fibrillation (AF) patients and high-risk patients wit AF and HT.

Aim: The aim of the study was early detection of the BC in patients with HT using ACG.

Methods: The study included 136 female and 98 male patients (age 43.6±15.7 years) who were surveyed in the clinical research. The patients were divided into two groups: group I (patients with HT) n=33, and control group II (patients without HT) n=201. Phase and amplitude of all frequency components of the received signals from the brain path were extracted and compared to the phase and amplitude of the transmitted pulse. By doing so, the time of flight and the attenuation of each frequency component were calculated. Additionally, a fast Fourier transformation (FFT) was performed and its features were extracted.

Results: After introducing a machine learning technique, the ROC plot with an AUC of 0.929 with sensitivity 0.879 and specificity 0.831 was obtained (Fig. 1).
Conclusion: ACG is new promising method, which allows for early detection of change in the brain in the patients with HT.

Afiliacje autorów:

Olszewski R.-IPPT PAN
Dobkowska-Chudon W.-District Hospital, Cardiology, Radom (PL)
Wrobel M.-Sonovum A.G., Leipzig, (DE)
Karlowicz P.-Sonomed Sp. z o.o, Warszawa (PL)
Dabrowski A.-MTZ Clinical Research, Warszawa (PL)
Krupienicz A.-Medical University of Warsaw (PL)
Targowski T.-National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw (PL)
Nowicki A.-IPPT PAN