On ultrasound classification of stroke risk factors from randomly chosen respondents using non-invasive multispectral ultrasonic brain measurements and adaptive profiles

Wrobel, Miroslaw; Dâbrowski, A; Kolany, Adam; Olak-Popko, Anna; Olszewski, Robert; Karlowicz, P.

doi:10.1016/j.bbe.2015.10.004

Cited by 3 publications

(8 citation statements)

References 11 publications

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“…In a “normal” case, the attenuation increases when ultrasound frequency increases. In our study, however, due to the very frequency-selective method provided by ACG, we are able to measure both parameters of tissues dispersivity in the form of ToA, as well as selective tissue attenuation, or scattering, in frequency-dependent ultrasound signal attenuation [ 19 ].…”

Section: Discussionmentioning

confidence: 99%

“…We have introduced to our study a non-invasive ACG method based on acoustic spectroscopy, which examines the cellular and molecular brain structure. The technique allows the states and changes of human brain tissue to be captured [ 19 ]. The ACG uses multifrequency ultrasound pulses to detect and classify possible undesirable cellular, or molecular, changes in the brain tissue.…”

Section: Methodsmentioning

confidence: 99%

“…The most important parameters estimated in the ACG method are: attenuation, absorption coefficient, frequency-dependent attenuation, speed of sound and tissue elasticity. Speed of sound or, equivalently, times of arriving (ToA) of pulses propagating along the brain path, can be inferred from phase relations between spectral components of the received spectra [ 19 , 20 ]. Basically, the ToA for the transmitted pulse through a skull is calculated from transmission/reception phases for two sine bursts with carrier frequencies f 1 and f 2 , respectively.…”

Section: Methodsmentioning

confidence: 99%

“…ACG is a novel technique that captures the states of human brain tissue and its changes on the cellular level. It is based on noninvasive measurements of various parameters obtained by analyzing an ultrasound pulse emitted across the human skull [ 19 ]. In our previous study, we showed that ACG is an effective method for brain examination and detecting WML in the brains of patients with asymptomatic atrial fibrillation as compared to MRI [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

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Detecting cerebrovascular changes in the brain caused by hypertension in atrial fibrillation group using acoustocerebrography

Dobkowska-Chudon

Wrobel²,

Karlowicz³

et al. 2018

PLoS ONE

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Acoustocerebrography is a novel, non-invasive, transcranial ultrasonic diagnostic method based on the transmission of multispectral ultrasound signals propagating through the brain tissue. Dedicated signal processing enables the estimation of absorption coefficient, frequency-dependent attenuation, speed of sound and tissue elasticity. Hypertension and atrial fibrillation are well known factors correlated with white matter lesions, intracerebral hemorrhage and cryptogenic stroke numbers. The aim of this study was to compare the acoustocerebrography signal in the brains of asymptomatic atrial fibrillation patients with and without hypertension. The study included 97 asymptomatic patients (40 female and 57 male, age 66.26 ± 6.54 years) who were clinically monitored for atrial fibrillation. The patients were divided into two groups: group I (patients with hypertension) n = 75, and group II (patients without hypertension) n = 22. Phase and amplitude of all spectral components for the received signals from the brain path were extracted and compared to the phase and amplitude of the transmitted pulse. Next, the time of flight and the attenuation of each frequency component were calculated. Additionally, a fast Fourier transformation was performed and its features were extracted. After introducing a machine learning technique, the ROC plot of differentiations between group I and group II with an AUC of 0.958 (sensitivity 0.99 and specificity 0.968) was obtained. It can be assumed that the significant difference in the acoustocerebrography signals in patients with hypertension is due to changes in the brain tissue, and it allows for the differentiating of high-risk patients with asymptomatic atrial fibrillation and hypertension.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detecting cerebrovascular changes in the brain caused by hypertension in atrial fibrillation group using acoustocerebrography

Dobkowska-Chudon

Wrobel²,

Karlowicz³

et al. 2018

PLoS ONE

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“…For interpretation of the volunteer's health questionnaire and ultrasound data, we explored various clustering and classification algorithms, such as PCA and ANOVA. We showed that the TOF and ATT values provide very good estimation of possible physiological changes in the brain tissue and can differentiate the possible high-risk groups obtained by other groups and methods ( 18 ). The same approach, using advanced mathematics to calculate the measured values, is presented in this paper.…”

Section: Introductionmentioning

confidence: 89%

Acoustocerebrography in septic patients: A randomized and controlled pilot study

Sauer

Sievert

Wróbel

et al. 2022

Front. Med. Technol.

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Sepsis-associated encephalopathy (SAE) is a common organ dysfunction in patients with severe sepsis or septic shock and leads to higher mortality and longer hospital stay. The diagnosis remains an exclusion process; none of the available measurements are specific for SAE. The aim of the presented prospective and controlled clinical study was to evaluate the possible role of molecular acoustics in determining acute brain injury in septic patients using an acoustocerebrography (ACG) system. ACG is a multifrequency, transcranial ultrasound method that measures the attenuation and time of flight to detect changes in the brain tissue. After approval from the local research ethics committee (of the University Hospital of Rostock: Reg. No.: A 2016-0026), 20 patients were included in two study groups: septic shock group (SG) and control group (CG; postoperative nonseptic patients). All patients were screened several times with the ACG on different days. Blood parameters of organ function, sepsis-related organ failure assessment score, and delirium scores [Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) and Intensive Care Delirium Screening Checklist (ICDSC)] were obtained as well. A neurologist examined all patients at inclusion. Predictive analysis was done using a data-driven statistical method and by deriving a parameter from the ACG data. The study was registered under “clinicaltrials.gov” (Reg. No.: NCT03173196). All patients in the SG were CAM-ICU-positive at inclusion (ICDSC: in mean 4.0) and had clinical signs of SAE. In contrast, all patients in the CG were CAM-ICU-negative, with an ICDSC score of 0. Predictive analysis using the ACG data presented an accuracy of 83.4% with a specificity of 89.0% and a sensitivity of 75.1%. The ACG method may be helpful for the monitoring and diagnosing acute brain injury; however, the results of this first report should be verified by further clinical studies. Further investigations should include long-established instruments of SAE diagnosis, e.g., electroencephalography, MRI, and biomarkers, to compare the results with the ACG measurements.

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Computer Aided Multispectral Ultrasound Diagnostics Brain Health Monitoring System Based on Acoustocerebrography

Bogdan

Kolany²,

Weber

et al. 2016

XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016

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On ultrasound classification of stroke risk factors from randomly chosen respondents using non-invasive multispectral ultrasonic brain measurements and adaptive profiles

Cited by 3 publications

References 11 publications

Detecting cerebrovascular changes in the brain caused by hypertension in atrial fibrillation group using acoustocerebrography

Detecting cerebrovascular changes in the brain caused by hypertension in atrial fibrillation group using acoustocerebrography

Acoustocerebrography in septic patients: A randomized and controlled pilot study

Computer Aided Multispectral Ultrasound Diagnostics Brain Health Monitoring System Based on Acoustocerebrography

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