Skip to main content

Advertisement

Log in

Development and validation of an automatic method to detect the latest contracting viable left ventricular segments to assist guide CRT therapy from gated SPECT myocardial perfusion imaging

  • Original Article
  • Published:
Journal of Nuclear Cardiology Aims and scope

Abstract

Objectives

The purpose of this study is to use ECG-gated SPECT MPI to detect the latest contracting viable left ventricular (LV) segments to help guide the LV probe placement used in CRT therapy and to validate segment selection against the visual integration method by experts.

Methods

For each patient, the resting ECG-gated SPECT MPI short-axis images were sampled in 3D to generate a polar map of the perfusion distribution used to determine LV myocardial viability, and to measure LV synchronicity using our phase analysis tool. In the visual integration method, two experts visually interpreted the LV viability and mechanical dyssynchrony from the short-axis images and polar maps of viability and phase, to determine the latest contracting viable segments using the 17-segment model. In the automatic method, the apical segments, septal segments, and segments with more than 50% scar were excluded as these are not candidates for CRT LV probe placement. Amongst the remaining viable segments, the segments, whose phase angles were within 10° of the latest phase angle (the most delayed contracting segment), were identified for potential CRT LV probe placement and ranked based on the phase angles of the segments. Both methods were tested in 36 pre-CRT patients who underwent ECG-gated SPECT MPI. The accuracy was determined as the percent agreement between the visual integration and automatic methods. The automatic method was performed by a second independent operator to evaluate the inter-operator processing reproducibility.

Results

In all the 36 patients, the LV lead positions of the 1st choices recommended by the automatic and visual integration methods were in the same segments in 35 patients, which achieved an agreement rate of 97.2%. In the inter-operator reproducibility test, the LV lead positions of the 1st choices recommended by the two operators were in the same segments in 25 patients, and were in the adjacent segments in 7 patients, which achieved an overall agreement of 88.8%.

Conclusions

An automatic method has been developed to detect the latest contracting viable LV segments to help guide the LV probe placement used in CRT therapy. The retrospective clinical study with 36 patients suggests that this method has high agreement against the visual integration method by experts and good inter-operator reproducibility. Consequently, this method is promising to be a clinical tool to recommend the CRT LV lead positions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5

Similar content being viewed by others

Abbreviations

SPECT:

Single-photon emission computed tomography

MPI:

Myocardial perfusion imaging/images

LV:

Left ventricle/ventricular

CRT:

Cardiac resynchronization therapy

OSEM:

Ordered subset expectation maximization

References

  1. Abraham WT, Fisher WG, Smith AL, Delurgio DB, Leon AR, Loh E, et al. Cardiac resynchronization in chronic heart failure. N Engl J Med 2002;346:1845-53.

    Article  PubMed  Google Scholar 

  2. Young JB, Abraham WT, Smith AL, Leon AR, Lieberman R, Wilkoff B, et al. Combined cardiac resynchronization and implantable cardioversion defibrillation in advanced chronic heart failure: The MIRACLE ICD Trial. JAMA. 2003;289:2685-94.

    Article  PubMed  Google Scholar 

  3. Bax JJ, Bleeker GB, Marwick TH, Molhoek SG, Boersma E, Steendijk P, et al. Left ventricular dyssynchrony predicts response and prognosis after cardiac resynchronization therapy. J Am Coll Cardiol 2004;44:1834-40.

    Article  PubMed  Google Scholar 

  4. Saba S, Marek J, Schwartzman D, Jain S, Adelstein E, White P, et al. Echocardiography-guided left ventricular lead placement for cardiac resynchronization therapy: Results of the Speckle Tracking Assisted Resynchronization Therapy for Electrode Region trails. Circ Heart Fail 2013;6(3):427-34.

    Article  CAS  PubMed  Google Scholar 

  5. Singh JP, Klein HU, Huang DT, Reek S, Kuniss M, Quesada A, et al. Left ventricular lead position and clinical outcome in the multicenter automatic defibrillator implantation trial-cardiac resynchronization therapy (MADIT-CRT) trial. Circulation 2011;123:1159-66.

    Article  PubMed  Google Scholar 

  6. Donal E, de Chillou C, Magnin-Poull I, Leclercq C. Imaging in cardiac resynchronization therapy: What does the clinician need? Europace 2008;10:370-2.

    Article  Google Scholar 

  7. Bleeker GB, Kaandorp TA, Lamb HJ, Boersma E, Steendijk P, de Roos A, et al. Effect of postero-lateral scar tissue on clinical and echocardiographic improvement after cardiac resynchronization therapy. Circulation 2006;113:969-76.

    Article  PubMed  Google Scholar 

  8. Ypenburg C, van Bommel RJ, Delgado V, Mollema SA, Bleeker GB, Boersma E, et al. Optimal left ventricular lead position predicts reverse remodeling and survival after cardiac resynchronization therapy. J Am Coll Cardiol 2008;52:1402-9.

    Article  PubMed  Google Scholar 

  9. Khan FZ, Virdee MS, Fynn SP, Dutka DP. Left ventricular lead placement in cardiac resynchronization therapy: Where and how? Europace 2009;11:554–61

    Article  PubMed  Google Scholar 

  10. 2012 ACCF/AHA/HRS focused update incorporated into the ACCF/AHA/HRS 2008 guidelines for device-based therapy of cardiac rhythm abnormalities: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. Circulation 2013;127:e283-352.

  11. Murphy RT, Sigurdsson G, Mulamalla S, Agler D, Popovic ZB, Starling RC, et al. Tissue synchronization imaging and optimal left ventricular pacing site in cardiac resynchronization therapy. Am J Cardiol 2006;97:1615-21.

    Article  PubMed  Google Scholar 

  12. Boogers MJ, Chen J, van Bommel RJ, Borleffs CJW, Dibbets-Schneider P, van der Hiel B, et al. Optimal left ventricular lead position assessed with phase analysis on gated myocardial perfusion SPECT. Eur J Nucl Med Mol Imaging 2011;38:230-8.

    Article  PubMed  Google Scholar 

  13. Bleeker GB, Kaandorp TA, Lamb HJ, Boersma E, Steendijk P, de Roos A, et al. Effect of postero-lateral scar tissue on clinical and echocardiographic improvement after cardiac resynchronization therapy. Circulation 2006;113:969-76.

    Article  PubMed  Google Scholar 

  14. Kronborg MB, Kim WY, Mortensen PT, Niesen JC. Non-contrast magnetic resonance imaging for guiding left ventricular lead position in cardiac resynchronization therapy. J Interv Card Electrophysiol 2012;33(1):27-35.

    Article  PubMed  Google Scholar 

  15. Zhou W, Garcia EV. Nuclear image-guided approaches for CRT. Curr Cardiol Rep 2016;18:1-11.

    Article  Google Scholar 

  16. Friehling M, Chen J, Saba S, Bazaz R, Schwartzman D, Adelstein EC. A prospective pilot study to evaluate the relationship between acute change in left ventricular synchrony after cardiac resynchronization therapy and patient outcome using a single-injection gated SPECT protocol. Circ Cardiovasc Imaging 2011;4:532-9.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Garcia EV, Cooke CD, Van Train KF. Technical aspects of myocardial SPECT imaging with technetium-99 m sestamibi. Am J Cardiol 1990;66:23E-31E.

    Article  CAS  PubMed  Google Scholar 

  18. Chen J, Garcia EV, Folks RD, Cooke CD, Faber TL, Tauxe EL, et al. Onset of left ventricular mechanical contraction as determined by phase analysis of ECG-gated myocardial perfusion SPECT imaging: Development of a diagnostic tool for assessment of cardiac mechanical dyssynchrony. J Nucl Cardiol 2005;12:687-95.

    Article  PubMed  Google Scholar 

  19. Khan FZ, Virdee MS, Palmer CR, Pugh PJ, O’Halloran D, Elsik M, et al. Targeted left ventricular lead placement to guide cardiac resynchronization therapy: The TARGET study: a randomized, controlled trial. J Am Coll Cardiol 2012;59:1509-18.

    Article  PubMed  Google Scholar 

  20. Chung ES, Leon AR, Tavazzi L, Sun JP, Nihoyannopoulos P, Merlino J, et al. Results of the predictors of response to CRT (PROSEPCT) trial. Circulation 2008;117:2608-16.

    Article  PubMed  Google Scholar 

  21. Berman DS, Kang X, Gransar H. Quantitative assessment of myocardial perfusion abnormality on SPECT myocardial perfusion imaging is more reproducible than expert visual analysis. J Nucl Cardiol 2009;16:45-53.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Trimble MA, Velazquez EJ, Adams GL, Honeycutt EF, Pagnanelli RA, Barnhart HX, et al. Repeatability and reproducibility of phase analysis of gated SPECT myocardial perfusion imaging used to quantify cardiac dyssynchrony. Nucl Med Commun 2008;29:374-81.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Lin X, Xu H, Zhao X, Folks RD, Faber TL, Garcia EV, et al. Repeatability of left ventricular dyssynchrony and function parameters in serial gated myocardial perfusion SPECT studies. J Nucl Cardiol 2010;17:811-6.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Chen J, Faber TL, Cooke CD, Garcia EV. Temporal resolution of multiharmonic phase analysis of ECG-gated myocardial perfusion SPECT studies. J Nucl Cardiol 2008;15:383-91.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Zhou Y, Faber TL, Patel Z, Folks RD, Cheung AA, Garcia EV, et al. An automatic alignment tool to improve repeatability of left ventricular function and dyssynchrony parameters in serial gated myocardial perfusion SPECT studies. Nucl Med Commun 2013;34:124-9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Folks RD, Cooke CD, Garcia EV. Optimizing gated myocardial perfusion imaging processing for phase analysis. J Nucl Cardiol 2016. doi:10.1007/s12350-016-0503-6.

    Article  PubMed  Google Scholar 

  27. Zhou W, Hou X, Piccinelli M, Tang X, Tang L, Cao K, et al. 3D fusion of LV venous anatomy on fluoroscopy venograms with epicardial surface on SPECT myocardial perfusion images for guiding CRT LV lead placement. JACC Cardiovasc Imaging 2014;7:1239-48.

    Article  PubMed  Google Scholar 

  28. Bleeker GB, Mollema SA, Holman ER, Van De Veire N, Ypenburg C, Boersma E, et al. Left ventricular resynchronization is mandatory for response to cardiac resynchronization therapy: Analysis in patients with echocardiographic evidence of left ventricular dyssynchrony at baseline. Circulation 2007;116:1440-8.

    Article  PubMed  Google Scholar 

  29. Chen J, Garcia EV, Folks RD, Cooke CD, Faber TL, Tauxe EL, et al. Onset of left ventricular mechanical myocardial perfusion SPECT imaging: Development of a diagnostic tool for assessment of cardiac mechanical dyssynchrony. J Nucl Cardiol 2005;12:687-95.

    Article  PubMed  Google Scholar 

  30. Henneman MM, Chen J, Dibbets-Schneider P, Stokkel MP, Bleeker GB, Ypenburg C, et al. Can LV dyssynchrony as assessed with phase analysis on gated myocardial perfusion SPECT predict response to CRT? J Nucl Med 2007;48:1104-11.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

This research was supported by a grant from the American Heart Association (15POST22690035, PI: Weihua Zhou, Ph.D.) and a New Faculty startup grant from the University of Southern Mississippi (Project Number: DE01791). This research was also partly supported by a grant from National Natural Science Foundation of China (Project Number: 81470457, PI: Jiangang Zou, MD).

Disclosures

Dr. Garcia and Mr. Folks receive royalties from the sale of the Emory Cardiac Toolbox. The terms of this arrangement have been reviewed and approved by Emory University in accordance with its conflict-of-interest practice. All other authors have nothing to declare.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Ernest V. Garcia PhD or Jiangang Zou MD.

Additional information

The authors of this article have provided a PowerPoint file, available for download at SpringerLink, which summarises the contents of the paper and is free for re-use at meetings and presentations. Search for the article DOI on SpringerLink.com.

Dr. Zhou, conducted the technical development. Mr. Tao, enrolled the patients and performed the clinical studies.

Weihua Zhou and Ningchao Tao have contributed equally to this article.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PPTX 609 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhou, W., Tao, N., Hou, X. et al. Development and validation of an automatic method to detect the latest contracting viable left ventricular segments to assist guide CRT therapy from gated SPECT myocardial perfusion imaging. J. Nucl. Cardiol. 25, 1948–1957 (2018). https://doi.org/10.1007/s12350-017-0853-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12350-017-0853-8

Keywords

Navigation