Archives of Acoustics, 45, 3, pp. 445–452, 2020
10.24425/aoa.2020.134060

Comparison of Acoustocerebrography Measurement and Magnetic Resonance Imaging Methods in the Assessment of White Matter Lesions in Patients with Atrial Fibrillation

Wioletta DOBKOWSKA-CHUDON
District Hospital, Cardiology
Poland

Mirosław WROBEL
Fraunhofer Institute for Cell Therapy and Immunology IZI
Germany

Emilia FRANKOWSKA
Military Institute of Medicine
Poland

Arkadiusz ZEGADLO
Military Institute of Medicine
Poland

Andrzej KRUPIENICZ
Medical University of Warsaw
Poland

Andrzej NOWICKI
Institute of Fundamental Technological Research Polish Academy of Sciences
Poland

Robert OLSZEWSKI
National Institute of Geriatrics, Rheumatology and Rehabilitation
Poland

The brain is subject to damage, due to ageing, physiological processes and/or disease. Some of the damage is acute in nature, such as strokes; some is more subtle, like white matter lesions. White matter lesions or hyperintensities (WMH) can be one of the first signs of micro brain damage. We implemented the Acoustocerebrography (ACG) as an easy to use method designed to capture differing states of human brain tissue and the respective changes.

Aim: The purpose of the study is to compare the efficacy of ACG and Magnetic Resonance Imaging (MRI) to detect WMH in patients with clinically silent atrial fibrillation (AF).

Methods and results: The study included 97 patients (age 66.26 ± 6.54 years) with AF. CHA2DS2-VASc score (2.5 ±1.3) and HAS BLED (1.65 ± 0.9). According to MRI data, the patients were assigned into four groups depending on the number of lesions: L0 – 0 to 4 lesions, L5 – 5 to 9 lesions, L10 – 10 to 29 lesions, and L30 – 30 or more lesions. Authors found that the ACG method clearly differentiates the groups L0 (with 0–4 lesions) and L30 (with more than 30 lesions) of WMH patients. Fisher’s Exact Test shows that this correlation is highly significant (p < 0:001).

Conclusion: ACG is a new, easy and cost-effective method for detecting WMH in patients with atrial fibrillation.
Keywords: Acoustocerebrography; brain MRI; atrial fibrillation; white matter hyperintensities
Full Text: PDF

References

Bokura H. et al. (2006), Silent brain infarction and subcortical white matter lesions increase the risk of stroke and mortality: a prospective cohort study, Journal of Stroke and Cerebrovascular Diseases, 15(2): 57–63, DOI: 10.1016/j.jstrokecerebrovasdis.2005.11.001 .

Carpeggiani C., Picano E. (2016), The radiology informed consent form: recommendations from the European Society of Cardiology position paper, Journal of Radiological Protection, 36(2): S175–S186, doi: 10.1088/0952-4746/36/2/s175.

Chugh S.S. et al. (2014), Worldwide epidemiology of atrial fibrillation – A Global Burden of Disease 2010 Study, Circulation, 129(8): 837–847, doi: 10.1161/circulationaha.113.005119.

De Cocker L.J. et al. (2018), Clinical vascular imaging in the brain at 7T, NeuroImage, 168: 452–458, doi: 10.1016/j.neuroimage.2016.11.044.

Debette S., Markus H.S. (2010), The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis, BMJ, 341: c3666, doi: 10.1136/bmj.c3666.

Ding S., Xu X., Nie R. (2014), Extreme learning machine and its applications, Neural Computing and Applications, 25(3–4): 549–556, doi: 10.1007/s00521-013-1522-8.

Dobkowska-Chudon W. et al. (2018), Detecting cerebrovascular changes in the brain caused by hypertension in atrial fibrillation group using acoustocerebrography, PLoS One, 13(7): e0199999, doi: 10.1371/journal.pone.0199999.

Freedman B., Potpara T.S., Lip G.Y. (2016), Stroke prevention in atrial fibrillation, Lancet, 388(10046): 806–817, doi: 10.1016/S0140-6736(16)31257-0.

Fry F., Barger J. (1978), Acoustical properties of the human skull, Journal of the Acoustical Society of America, 63(5): 1576–1590, doi: 10.1121/1.381852.

Gorelick P.B. et al. (2011), Vascular contributions to cognitive impairment and dementia, Stroke, 42(9): 2672–2713, doi: 10.1161/str.0b013e3182299496.

Hajjar I. et al. (2011), Hypertension, white matter hyperintensities, and concurrent impairments in mobility, cognition, and mood: The Cardiovascular Health Study, Circulation, 123(8): 858–865, doi: 10.1161/circulationaha.110.978114.

Kinsler L.E., Frey A., Coppens A.B., Sanders J.V. (2000), Fundamentals of Acoustics, John Wiley and Sons, New York.

Kolany A., Wrobel M. (2016), Some algebraic and algorithmic problems in acoustocerebrography, Bulletin of the Section of Logic, 45(3/4): 239–256, doi: 10.18778/0138-0680.45.3.4.07.

Kremkau F.W., Barnes R.W., McGraw P.C. (1981), Ultrasonic attenuation and propagation speed in normal human brain, Journal of the Acoustical Society of America, 70(1): 29–38, doi: 10.1121/1.386578.

Leary M.C., Saver J.L. (2003), Annual incidence of first silent stroke in the United States: a preliminary estimate, Cerebrovascular Diseases, 16(3): 280–285, doi: 10.1159/000071128.

Lynnerup N., Astrup J., Sejrsen B. (2005), Thickness of the human cranial diploe in relation to age, sex and general body build, Head & Face Medicine, 1(1): 13, doi: 10.1186/1746-160X-1-13.

Maillard P. et al. (2012), Effects of systolic blood pressure on white-matter integrity in young adults in the Framingham Heart Study: a cross-sectional study, Lancet Neurology, 11(12): 1039–1047, doi: 10.1016/S1474-4422(12)70241-7.

Maniega S.M. et al. (2016), Integrity of normal-appearing white matter: influence of age, visible lesion burden and hypertension in patients with small-vessel disease, Journal of Cerebral Blood Flow & Metabolism, 37(2): 644–656, doi: 10.1177/0271678X16635657.

Mayasi Y. et al. (2018), Atrial fibrillation is associated with anterior predominant white matter lesions in patients presenting with embolic stroke, Journal of Neurology, Neurosurgery & Psychiatry, 89(1): 6–13, doi: 10.1136/jnnp-2016-315457.

Pakula M., Padilla F., Laugier P. (2009), Influence of the filling fluid on frequency- dependent velocity velocity and attenuation in cancellous bones between 0.5 and 2.5 MHz, Journal of the Acoustical Society of America, 126(6): 3301–3310, doi: 10.1121/1.3257233.

Raboel P.H., Bartek J., Andresen M., Bellander B.M., Romner B. (2012), Intracranial pressure monitoring: invasive versus non-invasive methods – a review, Critical Care Research and Practice, 2012: 950393, doi: 10.1155/2012/950393.

Reinhard H. et al. (2012), Plasma NT-proBNP and white matter hyperintensities in type 2 diabetic patients, Cardiovascular Diabetology, 11(1): 119, doi: 10.1186/1475-2840-11-119.

Richoz B., Fankhauser H. (1997), Cerebral magnetic resonance imaging: indications and contraindications [in French], Revue Médicale Suisse Romande, 117(12): 931–945.

Schmude P. (2017), Feature selection in multiple linear regression problems with fewer samples than features, [In:] Rojas I., Ortuño F. (Eds), Bioinformatics and Biomedical Engineering. IWBBIO 2017. Lecture Notes in Computer Science, Vol. 10208, pp. 85–95, Springer, Cham.

Selvetella G. et al. (2003), Left ventricular hypertrophy is associated with asymptomatic cerebral damage in hypertensive patients, Stroke, 34(7): 1766–1770, doi: 10.1161/01.str.0000078310.98444.1D.

Van Dijk E.J., Prins N.D., Vrooman H.A.., Hofman A, Koudstaal P.J., Breteler M. (2008), Progression of cerebral small vessel disease in relation to risk factors and cognitive consequences – Rotterdam Scan study, Stroke, 39(10): 2712–2719, doi: 10.1161/strokeaha.107.513176.

Vermeer S.E., Longstreth W.T., Jr, Koudstaal P.J. (2007), Silent brain infarcts: a systematic review, Lancet Neurology, 6(7): 611–619, doi: 10.1016/S1474-4422(07)70170-9.

Wei C., Zhang S., Liu J., Yuan R., Liu M. (2018), Relationship of cardiac biomarkers with white matter hyperintensities in cardioembolic stroke due to atrial fibrillation and/or rheumatic heart disease, Medicine (Baltimore), 97(33): e11892, doi: 10.1097/MD.0000000000011892.

White W.B. et al. (2018), Relationships among clinic, home, and ambulatory blood pressures with small vessel disease of the brain and unctional status in older people with hypertension, American Heart Journal, 205: 21–30, doi: 10.1016/j.ahj.2018.08.002.

Williams B. et al. (2018), ESC Scientific Document Group. 2018 ESC/ESH Guidelines for the management of arterial hypertension, European Heart Journal, 39(33): 3021–3104, doi: 10.1093/eurheartj/ehy339.

Wrobel M., Dabrowski A., Kolany A., Olak-Popko A., Olszewski R., Karlowicz P. (2015), On ultrasound classification of stroke risk factors from randomly chosen respondents using non-invasive multispectral ultrasonic brain measurements and adaptive profiles, Biocybernetics and Biomedical Engineering, 36(1): 18–28, doi: 10.1016/j.bbe.2015.10.004.

Yamauchi H., Fukuda H., Oyanagi C. (2002), Significance of white matter high intensity lesions as a predictor of stroke from arteriolosclerosis, Journal of Neurology, Neurosurgery & Psychiatry, 72(5): 576–582, doi: 10.1136/jnnp.72.5.576.




DOI: 10.24425/aoa.2020.134060

Copyright © Polish Academy of Sciences & Institute of Fundamental Technological Research (IPPT PAN)