Skip to main content
Log in

Clinical usefulness of a novel program “Heart Function View” for evaluating cardiac function from gated myocardial perfusion SPECT

  • Original Article
  • Published:
Annals of Nuclear Medicine Aims and scope Submit manuscript

Abstract

Objective

To investigate clinical usefulness of a novel program “Heart Function View (HFV)” for evaluating left ventricular (LV) function from myocardial perfusion SPECT (MPS), we compared LV functional parameters (F(x)) calculated by HFV with those obtained by the other similar programs QGS and cardioGRAF or by ultrasound echocardiography (UCG) and examined their correlations with clinical markers of heart failure: plasma BNP concentrations (BNPs) and exercise capacity.

Methods

Studied patients (n = 60) underwent technetium-99m tetrofosmin quantitative gated MPS including treadmill exercise for examining heart disease. Myocardial stress images were acquired 30 min after the first tracer injection during maximal exercise. Three hours later, the second tracer was injected, and resting images were acquired. LV systolic F(x) [ejection fraction (EF), peak ejection rate (PER)] and diastolic F(x) [first third filling fraction (1/3FF), first third filling rate (1/3FR), peak filling rate (PFR), time to PFR (TPF)] were analyzed, and phase standard deviation (SD) and histogram bandwidth were obtained by phase analysis.

Results

LV end-diastolic volume (EDV), end-systolic volume (ESV) and EF obtained from HFV were well correlated with those from QGS, cardioGRAF and UCG. A diastolic parameter Doppler E/e′ from UCG was significantly with PFR from HFV. There were good correlations between LVEDV, LVESV, LVEF, PER, PFR, 1/3FR, TPF and 1/3FF from HFV and those from cardioGRAF. LVEF, PER, 1/3FR, and PFR were significantly correlated with plasma BNP concentrations. In patients with non-ischemic heart disease (n = 42), phase SD and histogram bandwidth were correlated negatively with exercise capacity or PFR.

Conclusions

HFV-derived LVF(x) are correlated with LVF(x) from the other programs or UCG, or with the clinical markers of heart failure and are thus useful in the functional assessment for patients with heart disease.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Abbreviations

AF:

Atrial fibrillation

BNP:

B-type natriuretic peptide

BNPs:

Plasma B-type natriuretic peptide concentrations

ECG:

Electrocardiography/electrocardiogram

EDV:

End-diastolic volume

E/e′:

Tissue Doppler diastolic functional indicator

EF:

Ejection fraction

ESV:

End-systolic volume

1/3FF:

First third filling fraction

1/3FR:

First third filling rate

F(x):

Functional parameters

HFV:

Heart function view

LBBB:

Left bundle branch block

LV:

Left ventricle or ventricular

MPS:

Myocardial perfusion SPECT

PER:

Peak ejection rate

PFR:

Peak filling rate

QGS:

Quantitative gated SPECT

SD:

Standard deviation

SDS:

Summed difference score

SPECT:

Single photon emission computed tomography

SRS:

Summed rest score

SSS:

Summed stress score

TPF:

Time to peak filling

UCG:

Ultrasound echocardiography

References

  1. Wieczorek SJ, Wu AH, Christenson R, Krishnaswamy P, Gottlieb S, Rosano T, et al. A rapid B-type natriuretic peptide assay accurately diagnoses left ventricular dysfunction and heart failure: a multicenter evaluation. Am Heart J. 2002;144:834–9.

    Article  PubMed  CAS  Google Scholar 

  2. Lubien E, DeMaria A, Krishnaswarmy P, Clopton P, Koon J, Kazanegra R, et al. Utility of B-natriuretic peptide in detecting diastolic dysfunction: comparison with Doppler velocity recordings. Circulation. 2002;105:595–601.

    Article  PubMed  CAS  Google Scholar 

  3. Bhatia V, Nayyar P, Dhindsa S. Brain natriuretic peptide in diagnosis and treatment of heart failure. J Postgrad Med. 2003;49:182–5.

    PubMed  CAS  Google Scholar 

  4. Grossman W. Defining diastolic dysfunction. Circulation. 2000;101:2020–1.

    Article  PubMed  CAS  Google Scholar 

  5. Otterstad JE, Froeland G, St John Sutton M, Holme I. Accuracy and reproducibility of biplane two-dimensional echocardiographic measurements of left ventricular dimensions and function. Eur Heart J. 1997;18:507–13.

    Article  PubMed  CAS  Google Scholar 

  6. Ommen SR, Nishimura RA, Appleton CP, Miller FA, Redfield MM, Tajik AJ. Clinical utility of Doppler echocardiography and tissue Doppler imaging in the estimation of left ventricular filling pressures: a comparative simultaneous Doppler-catheterization study. Circulation. 2000;102:1788–94.

    Article  PubMed  CAS  Google Scholar 

  7. Arques S, Roux E, Luccioni R. Current clinical applications of spectral tissue Doppler echocardiography (E/E′ ratio) as a noninvasive surrogate for left ventricular diastolic pressures in the diagnosis of heart failure with preserved left ventricular systolic function. Cardiovasc Ultrasound. 2007;5:16 Review.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Dhutia NM, Cole GD, Willson K, Rueckert D, Parker KH, Hughes AD, et al. A new automated system to identify a consistent sampling position to make tissue Doppler and transmitral Doppler measurements of E, E′ and E/E′. Int J Cardiol. 2012;155:394–9.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Germano G, Kavanagh P, Su HT, Mazzanti M, Hiat H, Hachamovich R, et al. Automatic reorientation of three-dimensional transaxial myocardial perfusion SPECT images. J Nucl Med. 1995;36:1107–14.

    PubMed  CAS  Google Scholar 

  10. Germano G, Kiat H, Kavanagh P, Moriei M, Mazzanti M, Su HT, et al. Automatic quantification of ejection fraction from gated myocardial perfusion SPECT. J Nucl Med. 1995;36:2138–47.

    PubMed  CAS  Google Scholar 

  11. Yamamoto A, Hosoya T, Takahashi N, Iwahara S, Munakata K. Quantification of left ventricular regional functions using ECG-gated myocardial perfusion SPECT—validation of left ventricular systolic functions. Ann Nucl Med. 2006;7:446–56.

    Google Scholar 

  12. Yamamoto A, Takahashi N, Munakata K, Hosoya T, Shiiba M, Okuyama T, et al. Global and regional evaluation of systolic and diastolic left ventricular temporal parameters using a novel program for ECG-gated myocardial perfusion SPECT—validation by comparison with gated equilibrium radionuclide angiography and speckle-tracking radial strain from echocardiography. Ann Nucl Med. 2007;21:115–21.

    Article  PubMed  Google Scholar 

  13. Hida S, Chikamori T, Tanaka H, Igarashi Y, Shiba C, Usui Y, et al. Diagnostic value of left ventricular dyssynchrony after exercise and at rest in the detection of multivessel coronary artery disease on single-photon emission computed tomography. Circ J. 2012;76:1942–52.

    Article  PubMed  Google Scholar 

  14. Matsuo S, Nakajima K, Kinuya S. Clinical use of nuclear cardiology in the assessment of heart failure. World J Cardiol. 2010;2:344–56.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Bruce RA. Exercise testing of patients with coronary heart disease: principles and normal standards for evaluation. Ann Clin Res. 1971;3:323–32.

    PubMed  CAS  Google Scholar 

  16. Nakata T, Katagiri Y, Odawara Y, Eguchi M, Kuroda M, Tsuchihashi K, et al. Two- and three- dimensional assessments of myocardial perfusion and function by using technetium-99m sestamibi gated SPECT with a combination of count- and image-based techniques. J Nucl Cardiol. 2000;7:623–32.

    Article  PubMed  CAS  Google Scholar 

  17. Nakajima K, Taki J, Higuchi T, Kawano M, Taniguchi M, Maruhashi K, et al. Gated SPET quantification of small hearts: mathematical simulation and clinical application. Eur J Nucl Med. 2000;27:1372–9.

    Article  PubMed  CAS  Google Scholar 

  18. Nakajima K, Okuda K, Nyström K, Richter J, Minarik D, Wakabayashi H, et al. Improved quantification of small hearts for gated myocardial perfusion imaging. Eur J Nucl Med Mol Imaging. 2013;40:1163–70.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  19. Nakajima K. Normal values for nuclear cardiology: Japanese databases for myocardial perfusion, fatty acid and sympathetic imaging and left ventricular function. Ann Nucl Med. 2010;24:125–35.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Nagamachi S, Wakamatsu H, Fujita S, Nishii R, Kamimura K, Kiyohara S, et al. Assessment of diastolic function using 16-frame 201Tl gated myocardial perfusion SPECT: a comparative study of QGS2 and pFAST2. Ann Nucl Med. 2008;22:115–22.

    Article  PubMed  Google Scholar 

  21. Yoshino T, Nakae I, Matsumoto T, Mitsunami K, Horie M. Relationship between exercise capacity and cardiac diastolic function assessed by time–volume curve from 16-frame gated myocardial perfusion SPECT. Ann Nucl Med. 2010;24:469–76.

    Article  PubMed  Google Scholar 

  22. Skaluba SJ, Litwin SE. Mechanisms of exercise intolerance. Insight from tissue doppler imaging. Circulation. 2004;109:972–7.

    Article  PubMed  Google Scholar 

  23. Grewal J, McCully RB, Kane GC, Lam C, Pellikka PA. Left ventricular function and exercise capacity. JAMA. 2009;301:286–94.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

Download references

Conflict of interest

None.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ichiro Nakae.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nakae, I., Hayashi, H., Matsumoto, T. et al. Clinical usefulness of a novel program “Heart Function View” for evaluating cardiac function from gated myocardial perfusion SPECT. Ann Nucl Med 28, 812–823 (2014). https://doi.org/10.1007/s12149-014-0875-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12149-014-0875-0

Keywords

Navigation