Non-Imaging Acoustical Properties in Monitoring Arteriovenous Hemodialysis Access. A Review
DOI:
https://doi.org/10.5614/j.eng.technol.sci.2015.47.6.6Abstract
The limitations of the gold standard angiography technique in arteriovenous access surveillance have opened a gap for researchers to find the best way to monitor this condition with low-cost, non-invasive and continuous bedside monitoring. The phonoangiography technique has been developed prior to these limits. This measurement and monitoring technique, associated with intelligence signal processing, promises better analysis for early detection of hemodialysis access problems, such as stenosis and thrombosis. Some research groups have shown that the phonoangiography technique could identify as many as 20% of vascular diameter changes and also its frequency characteristics due to hemodialysis access problems. The frequency characteristics of these acoustical signals are presented and discussed in detail to understand the association with the stenosis level, blood flows, sensor locations, fundamental frequency bands of normal and abnormal conditions, and also the spectral energy produced. This promising technique could be used in the near future as a tool for pre-diagnosis of arteriovenous access before any further access correction by surgical techniques is required. This paper provides an extensive review of various arteriovenous access monitoring techniques based on non-imaging acoustical properties.Downloads
References
Beathard, G.A., Hemodialysis Arteriovenous Fistulas, http://www.esrdnetwork.org/assets/pdf/fistula-first/BeathardGuideto AVFs.pdf (30 January 2015).
Mickley, V., Stenosis And Thrombosis In Haemodialysis Fistulae and Grafts: The Surgeon's Point of View, Nephrology Dialysis Transplantation, 19(2), pp. 309-311, 2004.
Vesquez, P.O., Munguía, M.M. & Mandersson, B., Arteriovenous Fistula Stenosis Detection Using Wavelets and Support Vector Machines, Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE, pp. 1298-1301, 2009.
National Kidney Foundation. NKF-K/DOQI Clinical Practice Guidelines for Hemodialysis Adequacy Kidney, 2006, https://www.kidney.org/ sites/default/files/docs/12-500210_jag_dcp_guidelines-hd_oct06_sec tiona_ofc.pdf (10 October 2015).
Beathard, G.A., Physical Examination of the Dialysis Vascular Access, Seminars In Dialysis, Blackwell Publishing Ltd, 11(4), pp. 231-236, 1998.
Tonelli, M., James, M., Wiebe, N., Jindal, K., Hemmelgarn, B., & Alberta Kidney Disease Network, Ultrasound Monitoring to Detect Access Stenosis in Hemodialysis Patients: A Systematic Review, American Journal of Kidney Diseases, 51(4), pp. 630-640, 2008.
Tessitore, N., Mansueto, G., Bedogna, V., Lipari, G., Poli, A., Gammaro, L., Baggio, E., Morana, G., Loschiavo, C., Laudon, A., Oldrizzi, L. & Maschio, G., A Prospective Controlled Trial on Effect of Percutaneous Transluminal Angioplasty on Functioning Arteriovenous Fistulae Survival, Journal of the American Society of Nephrology, 14(6), pp. 1623-1627, 2003.
Besarab, A., Asif, A., Roy-Chaudhury, P., Spergel, L.M. & Ravani, P., The Native Arteriovenous Fistula in 2007 Surveillance and Monitoring. Journal of Nephrology 20(6), pp. 656-667, 2007.
Cheng, S-M., Ng, S.-P., Yang, F.-S. & Shih, S.-L., Interventional Treatment for Complete Occlusion of Arteriovenous Shunt: Our Experience in 39 Cases, Chin J Radiol, 28, pp. 137-142, 2003.
Vascular Access 2006 Work Group, NKF-DOQI Clinical Practice Guidelines for Vascular Access, Update 2006, Am J Kidney Dis, 48 (Suppl 1), pp. S176-S306, 2006.
Mansy, H.A., Hoxie, S.J., Patel, N.H. & Sandler, R.H., Computerised Analysis of Auscultatory Sounds Associated with Vascular Patency of Haemodialysis Access, Medical and Biological Engineering and Computing, 43(1), pp. 56-62, 2005.
Chen, W.-L., Kan, C.-D. & Lin, C.-H., Arteriovenous Shunt Stenosis Evaluation Using A Fractional-Order Fuzzy Petri Net Based Screening System for Long-Term Hemodialysis Patients, Journal of Biomedical Science and Engineering, 7(5), pp. 258-275, 2014.
Sato, T., Tsuji, K., Kawashima, N., Agishi, T. & Toma, H., Evaluation of Blood Access Dysfunction Based on A Wavelet Transform Analysis of Shunt Murmurs, Journal of Artificial Organs, 9(2), pp. 97-104, 2006.
Wang, Y.-N., Chan, C.-Y. & Chou, S.-J., The Detection of Arteriovenous Fistula Stenosis for Hemodialysis Based on Wavelet Transform, International Journal of Advanced Computer Science, 1(1), pp. 16-22, 2011.
Akay, Y.M, Akay, M., Welkowitz, W., Semmlow, J.L. & Kostis, J.B., Noninvasive Acoustical Detection of Coronary Artery Disease: A Comparative Study of Signal Processing Methods, IEEE Transactions on Biomedical Engineering, 40(6), pp. 571-578, 1993.
Vasquez, P., Marco, M.M., Mattsson, E. & Mandersson, B., Application of the Empirical Mode Decomposition in the Study of Murmurs From Arteriovenous Fistula Stenosis, Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE, pp. 947 -950, 2010.
Roth, K., Kauppinen, I., Esquef, P.A. & Valimaki, V., Frequency Warped Bur's Method for AR-Modeling, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 5-8, 2003.
Chen, W.L., Chen, T., Lin, C.H., Chen, P.J., & Kan, C.D., Phonographic Signal with a Fractional-Order Chaotic System: A Novel and Simple Algorithm for Analyzing Residual Arteriovenous Access Stenosis, Medical & Biological Engineering & Computing, 51(9), pp. 1011-1019, 2013.
Malindretos, P., Liaskos, C., Bamidis, P., Chryssogonidis, I., Lasaridis, A. & Nikolaidis, P., Computer Assisted Sound Analysis of Arteriovenous Fistula in Hemodialysis Patients, The International journal of artificial organs, 37(2), pp. 173-176, 2014.
Rousselot, L., Acoustical Monitoring of Model System For Vascular Access In Haemodialysis, PHD dissertation, TU Delft, Delft University of Technology, 2014.
Gram, M., Olesen, J.T., Riis, H.C., Selvaratnam, M., Meyer-Hofmann, H., Pedersen, B.B., Christensen, J.H., Struijk, J. & Schmidt, S.E., Stenosis Detection Algorithm for Screening of Arteriovenous Fistulae, 15th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), 34, pp. 241-244, 2011
Wang, HY., Wu, C.H., Chen, C.Y. & Lin, B.S., Novel Noninvasive Approach for Detecting Arteriovenous Fistula Stenosis, IEEE Transactions on Biomedical Engineering, 61(6), pp. 1851-1857, 2014.
Obando, P.V. & Mandersson, B., Frequency Tracking Of Resonant-Like Sounds from Audio Recordings of Arterio-Venous Fistula Stenosis, Bioinformatics and Biomedicine Workshops (BIBMW), IEEE International Conference on IEEE, pp. 771-773, 2012.
Todo, A., Kadonaka, T., Yoshioka, M., Ueno, A., Mitani, M., Katsurao, H., Someya, N., Hasegawa, H., Hitomi, Y., Nishigaki, T. & Mizuno-Matsumoto, Y., Frequency Analysis of Shunt Sounds in the Arteriovenous Fistula on Hemodialysis Patients, 6th joint International Conference on. Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), pp. 1113-1118, 2012.
Munguia, M.M. & Mandersson, B., Analysis of the Vascular Sounds of the Arteriovenous Fistula's Anastomosis, Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE, pp. 3784-3787, 2011.
Mungua, M.M., Vasquez, P. & Mandersson, B., Characterisation of Arteriovenous Fistula's Sound Recordings Using Principal Component Analysis, Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE, pp. 5661-5664, 2009.
Sung, PH., Kan, C.D., Chen, W.L., Jang, L.S. & Wang, J.F., Hemodialysis Vascular Access Stenosis Detection Using Auditory Spectro-Temporal Features of Phonoangiography, Medical & Biological engineering & Computing, 53(5), pp. 393-403, 2015.
Konner, K., Nonnast-Daniel, B. & Ritz, E., The Arteriovenous Fistula, Journal of the American Society of Nephrology, 14(6), pp. 1669-1680, 2003.
Grochowina, M., Leniowska, L. & Dulkiewicz, P., Application of Artificial Neural Networks for the Diagnosis of the Condition of the Arterio-Venous Fistula on the Basis of Acoustic Signals, Brain Informatics and Health, pp. 400-411, 2014.
Kumbar, L., Jariatul, K. & Besarab, A., Surveillance and Monitoring of Dialysis Access, International Journal of Nephrology, 2012.
Nishitani, Y. & Inada, H., An Analysis of Frequency Components of Shunt Murmur for Diagnosing Shunt Stenoses in Hemodialysis, World Congress on Medical Physics and Biomedical Engineering, pp. 196-197, 2009.
Doyle, D.J., Mandell, D.M. & Richardson, R.M., Monitoring Hemodialysis Vascular Access by Digital Phonoangiography, Annals of biomedical engineering, 30(7), pp. 982-982, 2002.
Jing, F., Xuemin, W., Mingshi, W. & Wei, L., Noninvasive Acoustical Analysis System of Coronary Heart Disease, Proceedings of the Sixteenth Southern, in Biomedical Engineering Conference, pp. 239-241, 1997.
Allon, M., & Robbin, M.L., Increasing Arteriovenous Fistulas in Hemodialysis Patients: Problems and Solutions, Kidney international, 62(4), pp. 1109-1124, 2002.
Song, W.T. & Chiang, H., A Novel Approach For Vascular Sounds of Arteriovenous Fistulas and Vascular Stenoses, http://www.apiems.org/ conf2013/conf2013/1292.pdf, (8 Febuary 2015).
Wu, J.X., Du, Y.C., Wu, M.J., Li, C.M., Lin, C.H. & Chen, T., Multiple-Site Hemodynamic Analysis of Doppler Ultrasound with an Adaptive Color Relation Classifier for Arteriovenous Access Occlusion Evaluation, The Scientific World Journal, 2014, Article ID 203148, pp. 1-13, 2014.
Bosman, P.J., Boereboom, F.T., Bakker, C.J., Mali, W.P., Eikelboom, B.C., Blankestijn, P.J. & Koomans, H.A., Access Flow Measurements in Hemodialysis Patients: In Vivo Validation of an Ultrasound Dilution Technique, Journal of the American Society of Nephrology, 7(6), pp. 66-969, 1996.
Borisyuk, A.O., Experimental Study of Noise Produced By Steady Flow through a Simulated Vascular Stenosis, Journal of Sound and Vibration, 256(3), pp. 475-498, 2002.
