Automatic detection of end-diastolic and end-systolic frames in 2D echocardiography.

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  • معلومة اضافية
    • Author-Supplied Keywords:
      cardiac imaging
      echocardiography
      myocardial velocity
      ultrasound imaging
    • Abstract:
      Background Correctly selecting the end-diastolic and end-systolic frames on a 2D echocardiogram is important and challenging, for both human experts and automated algorithms. Manual selection is time-consuming and subject to uncertainty, and may affect the results obtained, especially for advanced measurements such as myocardial strain. Methods and Results We developed and evaluated algorithms which can automatically extract global and regional cardiac velocity, and identify end-diastolic and end-systolic frames. We acquired apical four-chamber 2D echocardiographic video recordings, each at least 10 heartbeats long, acquired twice at frame rates of 52 and 79 frames/s from 19 patients, yielding 38 recordings. Five experienced echocardiographers independently marked end-systolic and end-diastolic frames for the first 10 heartbeats of each recording. The automated algorithm also did this. Using the average of time points identified by five human operators as the reference gold standard, the individual operators had a root mean square difference from that gold standard of 46.5 ms. The algorithm had a root mean square difference from the human gold standard of 40.5 ms ( P<.0001). Put another way, the algorithm-identified time point was an outlier in 122/564 heartbeats (21.6%), whereas the average human operator was an outlier in 254/564 heartbeats (45%). Conclusion An automated algorithm can identify the end-systolic and end-diastolic frames with performance indistinguishable from that of human experts. This saves staff time, which could therefore be invested in assessing more beats, and reduces uncertainty about the reliability of the choice of frame. [ABSTRACT FROM AUTHOR]
    • Abstract:
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    • Author Affiliations:
      1Faculty of Medicine, Imperial College London, London United Kingdom
      2School of Computer Science, University of Lincoln, Lincoln United Kingdom
      3Heart and Vessels Department, University of Florence, Florence Italy
    • Full Text Word Count:
      7228
    • ISSN:
      0742-2822
    • Accession Number:
      10.1111/echo.13587
    • Accession Number:
      124130530
  • Citations
    • ABNT:
      ZOLGHARNI, M. et al. Automatic detection of end-diastolic and end-systolic frames in 2D echocardiography. Echocardiography, [s. l.], v. 34, n. 7, p. 956–967, 2017. DOI 10.1111/echo.13587. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=124130530&custid=s8280428. Acesso em: 24 jan. 2020.
    • AMA:
      Zolgharni M, Negoita M, Dhutia NM, et al. Automatic detection of end-diastolic and end-systolic frames in 2D echocardiography. Echocardiography. 2017;34(7):956-967. doi:10.1111/echo.13587.
    • APA:
      Zolgharni, M., Negoita, M., Dhutia, N. M., Mielewczik, M., Manoharan, K., Sohaib, S. M. A., … Francis, D. P. (2017). Automatic detection of end-diastolic and end-systolic frames in 2D echocardiography. Echocardiography, 34(7), 956–967. https://doi.org/10.1111/echo.13587
    • Chicago/Turabian: Author-Date:
      Zolgharni, Massoud, Madalina Negoita, Niti M. Dhutia, Michael Mielewczik, Karikaran Manoharan, S. M. Afzal Sohaib, Judith A. Finegold, Stefania Sacchi, Graham D. Cole, and Darrel P. Francis. 2017. “Automatic Detection of End-Diastolic and End-Systolic Frames in 2D Echocardiography.” Echocardiography 34 (7): 956–67. doi:10.1111/echo.13587.
    • Harvard:
      Zolgharni, M. et al. (2017) ‘Automatic detection of end-diastolic and end-systolic frames in 2D echocardiography’, Echocardiography, 34(7), pp. 956–967. doi: 10.1111/echo.13587.
    • Harvard: Australian:
      Zolgharni, M, Negoita, M, Dhutia, NM, Mielewczik, M, Manoharan, K, Sohaib, SMA, Finegold, JA, Sacchi, S, Cole, GD & Francis, DP 2017, ‘Automatic detection of end-diastolic and end-systolic frames in 2D echocardiography’, Echocardiography, vol. 34, no. 7, pp. 956–967, viewed 24 January 2020, .
    • MLA:
      Zolgharni, Massoud, et al. “Automatic Detection of End-Diastolic and End-Systolic Frames in 2D Echocardiography.” Echocardiography, vol. 34, no. 7, July 2017, pp. 956–967. EBSCOhost, doi:10.1111/echo.13587.
    • Chicago/Turabian: Humanities:
      Zolgharni, Massoud, Madalina Negoita, Niti M. Dhutia, Michael Mielewczik, Karikaran Manoharan, S. M. Afzal Sohaib, Judith A. Finegold, Stefania Sacchi, Graham D. Cole, and Darrel P. Francis. “Automatic Detection of End-Diastolic and End-Systolic Frames in 2D Echocardiography.” Echocardiography 34, no. 7 (July 2017): 956–67. doi:10.1111/echo.13587.
    • Vancouver/ICMJE:
      Zolgharni M, Negoita M, Dhutia NM, Mielewczik M, Manoharan K, Sohaib SMA, et al. Automatic detection of end-diastolic and end-systolic frames in 2D echocardiography. Echocardiography [Internet]. 2017 Jul [cited 2020 Jan 24];34(7):956–67. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=124130530&custid=s8280428