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The significance of the analysis on scalographic pattern for detecting malfunctioning bileaflet valve with the wavelet analysis

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  • Artificial Valve
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Abstract

The authors developed the wavelet analysis system which can detect the splitting of bileaflet mechanical heart valve (BLV) into two spikes on the scalogram, and reported that either consecutive single spike or the split behavior can detect malfunctioning BLV (MBV). The latest study on 12 BLVs suggested that the comparison between two spike areas showed higher potential to detect MBV than the split behavior. The aim of the current study is to review 226 files of BLV sound and to select the suitable scalographic property to differentiate the function of BLV with the split. Eight of 30 MBV files showed consecutive single spike, and the rest of 22 MBV files showed two spikes. Two spike areas can be compared by the following three ratios; the anterior spike area/posterior spike area (Aa/La), its reverse ratio (Pa/Aa) and the smaller spike area/the larger spike ratio (Sa/La). Therefore, the current study compared those three ratios to pursue the suitable ratio to compare two spike areas and its sensitivity to differentiate valve function by the ROC analysis. As a result, the Sa/La was suitable for comparing two spike areas, and only this ratio showed high accuracy to differentiate the function of BVL with the split, and its cutoff value was <0.665. Conclusively, the key for detecting MBV was either consecutive single spike or the mean of Sa/La < 0.665. However, this cutoff point is still tentative due to small number of malfunctioning valves, and other key might be available in future.

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References

  1. Smadi O, Garcia J, Pibarot P, Gaillard E, Hassan I, Kadem L. Accuracy of doppler-echocardiographic parameters for the detection of aortic bileaflet mechanical prosthetic valve dysfunction. Eur Heart J Cardiovasc Imaging. 2014;15:142–51.

    Article  PubMed  Google Scholar 

  2. Sugiki H, Murashita T, Shiiya N, Kubota T, Yasuda K. Selection of the analyzing wavelet adequate to analyze artificial mechanical valve sound (in Japanese). Jpn J Artif Organs 2004; 33: Supplement-158.

  3. Sugiki H, Murashita T, Shiiya N, Kunihara T, Matsuzaki K, Kubota T, Sugiki K. The trials of diagnosis of bileaflet mechanical valve malfunction by the wavelet analysis (in Japanese). Jpn J Cardiovasc Surg. 2005; 53:Supplement-515.

  4. Sugiki H, Shiiya N, Murashita T, Kubota T, Kunihara T, Matsuzaki K, Sugiki T, Sugiki K. The study on the wavelet analysis of bileaflet mechanical valve closing sound (in Japanese). Jpn J Artif Organs. 2005; 34:S-172.

  5. Sugiki H, Shiiya N, Murashita T, Yasuda K. Bileaflet mechanical valve sound analysis with continuous wavelet transform. J Artif Orgrans. 2006;9:42–9.

    Article  Google Scholar 

  6. Sugiki H, Shiiya N, Murashita T, Kunihara T, Matsuzaki K, Kubota T, Matsui Y, Sugiki K. Wavelet analyis of bileaflet mechanical valve sounds. J Artif Organs. 2007;10:16–21.

    Article  PubMed  Google Scholar 

  7. Sugiki H, Murashita T, Shiiya N, Matsui Y, Sugiki K. Wavelet analysis of valve closing sound can detects malfunction of bileaflet mechanical valve. J Artif Organs. 2008;11:29–37.

    Article  PubMed  Google Scholar 

  8. Sugiki T, Sugiki H, Shiiya N, Matsui Y, Sugiki K. New automated wavelet analytical system with a cellular phone for recording intercellular phone remote transmitted bileaflet valve sound. J Artif Organs. 2009;12:232–41.

    Article  PubMed  Google Scholar 

  9. Sugiki H, Kubota S, Matsui Y, Sugiki K. Comparison of two spike areas in bileaflet mechanical valve closing sound. J Artif Organs. 2012;15:357–63.

    Article  PubMed  Google Scholar 

  10. Ishikawa Y. Wavelet analysis for clinical medicine with MEM software on CD-ROM (in Japanese). Tokyo, Igaku-Shuppan. 2000.

  11. Furu:!0_0! Excel Length Area Measurement II, Windows XP/Vista/7/8 (32/64bit), Shareware Vector Inc. http://www.vector.co.jp/soft/win95/art/se312810.html.

  12. Akobeng AK. Understanding diagnostic test 3: receiver operating characteristic curves. Acta Paediatr. 2007;96:644–7.

    Article  PubMed  Google Scholar 

  13. Fluss R, Faraggi D, Reiser B. Estimation of the Youden Index and its associated cutoff point. Biom J. 2005;47:458–72.

    Article  PubMed  Google Scholar 

  14. Sezai A, Shiono M, Orime Y, Hata H, Yagi S, Negishi N, Sezai Y. Evaluation of valve sound and its effects on ATS prosthetic valves in patient’s quality of life. Ann Thorac Surg. 2000;69:507–12.

    Article  CAS  PubMed  Google Scholar 

  15. Pedersen TA, Johansen P, Hasenkam JM, Koerfer R, Koertke H, Nygaard H. Are sounds from mechanical heart valves equal for different valve types? J Heart Valve Dis. 2008;17(5):579–82.

    PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Thoracic Cardiovascular Surgery, Hokko Memorial Hospital, North-27, East-8, Higashi-Ku, Sapporo, 065-0027, Japan

    Hiroshi Sugiki

  2. Department of Thoracic Cardiovascular Surgery, Cardiovascular Center Hokkaido Ohno Hospital, Nishino 4-1-1-30, Nishi-ku, Sapporo, Hokkaido, 063-0034, Japan

    Kenji Sugiki

  3. Department of Cardiovascular Surgery, Hokkaido University Postgraduate School of Medicine, North-14 West-5, Kita-ku, Sapporo, Hokkaido, 060-8684, Japan

    Tomonori Ooka, Satoru Wakasa, Yasushige Shingu, Tsuyoshi Tachibana & Yoshiro Matsui

Authors
  1. Hiroshi Sugiki
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  2. Kenji Sugiki
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  3. Tomonori Ooka
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  4. Satoru Wakasa
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  5. Yasushige Shingu
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  6. Tsuyoshi Tachibana
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  7. Yoshiro Matsui
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Correspondence to Hiroshi Sugiki.

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Sugiki, H., Sugiki, K., Ooka, T. et al. The significance of the analysis on scalographic pattern for detecting malfunctioning bileaflet valve with the wavelet analysis. J Artif Organs 19, 62–69 (2016). https://doi.org/10.1007/s10047-015-0861-x

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  • DOI: https://doi.org/10.1007/s10047-015-0861-x

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