게이트 심근 관류 스펙트의 심기능 지표의 정상 참고값 : $QGS^{\circledR}$ 프로그램과 $4DM^{\circledR}$ 프로그램의 비교

Reference Values of Functional Parameters in Gated Myocardial Perfusion SPECT : Comparison with $QGS^{\circledR}$ and $4DM^{\circledR}$ Program

  • 정영진 (동아대학교 의과대학 핵의학교실) ;
  • 박태호 (동아대학교 의과대학 내과학교실) ;
  • 차광수 (동아대학교 의과대학 내과학교실) ;
  • 김무현 (동아대학교 의과대학 내과학교실) ;
  • 김영대 (동아대학교 의과대학 내과학교실) ;
  • 강도영 (동아대학교 의과대학 핵의학교실)
  • Jeong, Young-Jin (School of Nuclear Medicine, Dong-A University College of Medicine) ;
  • Park, Tae-Ho (School of Internal Medicines, Dong-A University College of Medicine) ;
  • Cha, Kwang-Soo (School of Internal Medicines, Dong-A University College of Medicine) ;
  • Kim, Moo-Hyun (School of Internal Medicines, Dong-A University College of Medicine) ;
  • Kim, Young-Dae (School of Internal Medicines, Dong-A University College of Medicine) ;
  • Kang, Do-Young (School of Nuclear Medicine, Dong-A University College of Medicine)
  • 발행 : 2005.12.31

초록

목적: 게이트 심근 관류 스펙트 결과의 정량적 평가를 위해 여러 프로그램들이 사용되고 있다. 하지만 프로그램별로 각각의 정상 범위의 설정 없이 외국의 자료만을 토대로 프로그램의 구분 없이 일률적으로 판독에 적용하고 있다. 이에 심혈관 질환의 가능성이 낮은 환자를 대상으로 본원에서 일반적으로 사용하고 있는 QGS와 4DM의 심기능 지표(EDV, ESV, EF)에 대한 정상 값을 구하였고, 두 프로그램간의 결과 치에 대한 상관관계도 조사하였다. 대상 및 방법: Pryor 등에 의해 만들어진 평가표에 근거하여 심혈관 질환의 가능성이 10% 미만인 남녀 77명을 대상으로 아데노신 부하법을 이용한 Tc-99m MIBI 게이트 심근 관류 스펙트를 실시하였다. EDV, ESV, EF의 결과 분석은 QGS와 4DM을 이용하였으며, 좌심실의 경계는 자동으로 설정하도록 하였다. 결과: QGS에서 부하기 좌심실의 평균 EDV, ESV, EF는 각각 $78.2{\pm}25.2ml,\;27.4{\pm}12.9ml,\;66.6{\pm}8.0%$ 이었고 휴식기의 결과치와 통계학적으로 큰 차이는 없었다(p>0.05). 4DM에서 부하기 좌심실의 평균 EDV, ESV, EF는 각각 $89.1{\pm}26.4ml,\;29.1{\pm}12.8ml,\;68.5{\pm}6.7%$ 이었다. 대체적으로 QGS와 마찬가지로 휴식기의 결과치와 큰 차이는 없었으나 EF의 경우에서 부하기와 휴식기에 통계학적인 차이가 있었고 (p<0.05) 휴식기의 EF가 약간 큰 값을 보였다(부하기 $68.5{\pm}6.7%$ vs 휴식기 $70.9{\pm}8.0%$). 두 프로그램에서 EDV, ESV, EF의 결과 값의 상관관계는 부하기에서 각각 0.95, 0.93, 0.71이었고 휴식기에서 각각 0.95, 0.90, 0.69으로 대체적으로 좋았으나 Bland-Altman분석에서 두 프로그램의 일치의 한계 값의 범위가 비교적 컸음을 볼 수 있었다. 결론: 이번 연구를 통하여 심혈관 질환의 가능성이 낮은 환자에서 QGS와 4DM 프로그램 각각의 EDV, ESV, EF의 정상 값을 구하였다. 두 프로그램의 상관관계는 높지만 두 프로그램의 결과 값을 혼용하여 사용할 수는 없을 것이다. 이를 이용하여 앞으로 판독에 유의한 참고 자료로써 사용될 수 있을 것으로 생각된다.

Purpose: The objectives of this study were - First, to determine the normal range of left ventricular end diastolic volume (EDV), end systolic volume (ESV) and election fraction (EF) from gated myocardial perfusion SPECT for Quantitative Gated SPECT (QGS) and 4D-MSPECT (4DM), respectively. Second, to evaluate the relationships between values produced by both software packages. Materials & Methods: Tc-99m MIBI gated myocardial perfusion SPECT were performed for 77 patients (mean age: $49.6{\pm}13.7y$, n=37(M), 40(F)) with a low likelihood (<10%) of coronary artery disease (CAD) using dual head gamma camera (E.CAM, Siemens, USA). Left ventricular EDV, ESV and EF were automatically measured by means of QGS and 4DM, respectively. Results: in QGS, the mean EDV, ESV and EF for all patients were $78.2{\pm}25.2ml,\;27.4{\pm}12.9ml\;and\;66.6{\pm}8.0%$ at stress test respectively, not different from rest test (p>0.05). In 4DM, the mean EDV, ESV and EF for all patients were $89.1{\pm}26.4ml,\;29.1{\pm}12.8ml\;and\;68.5{\pm}6.7%$ at stress test. Most cases in 4DM, there was no significant difference statistically between stress and rest test (p>0.05). But statistically significant difference was found in EF ($68.5{\pm}6.7%$ at stress vs $70.9{\pm}8.0%$ at rest, p<0.05). Correlation coefficients between the methods for EDV, ESV and EF were comparatively high (0.95, 0.93, 0.71 at stress test and 0.95, 0.90, 0.69 at rest test, respectively). However, Bland-Altman plots showed a large range of the limit value of agreement for EDV, ESV and EF between both methods ($-30ml{\sim}10ml,\;-12ml{\sim}8ml,\;-14%{\sim}11%$ at stress test and $-32ml{\sim}5ml,\;-13ml{\sim}13ml,\;-18%{\sim}12%$ at rest test). Conclusion: We found the normal ranges of EDV, ESV and EF for patients with a low likelihood of CAD in both methods. We expect these values will be a good reference to interpret gated myocardial perfusion SPECT. Although good correlation was observed between both methods, they should not be used interchangeably. Therefore, when both programs are used at the same site, it will be important to apply normal limits specific to each method.

키워드

참고문헌

  1. Hammermeister KE, de Rouen TA, Dodge HT. Variables predictive of survival in patients with coronary disease: selection by univariate and multivariate analyses from the clinical, electrocardiographic, exercise, arteriographic, and quantitative angiographic evaluations. Circulation 1979;59:421-30 https://doi.org/10.1161/01.CIR.59.3.421
  2. White HD, Norris RM, Brown MA, Brandt PW, Whitlock M, Wild CJ. Left ventricular end-systolic volume as the major determinant of survival after recovery from myocardial infarction. Circulation 1987;76:44-51 https://doi.org/10.1161/01.CIR.76.1.44
  3. Germano G, Kiat H, Kavanagh PB, Moriel M, Mazzanti M, Su HT, et al. Automatic quantification of ejection fraction from gated myocardial perfusion SPECT. J Nucl Med 1995;36(11):2138-47
  4. Germano G, Kavanagh PB, Waechter P, Areedav J, Van Kriekinge S, Sharir T, et al. A new algorithm for the quantitation of myocardial perfusion SPECT. I: technical principles and reproducibility. J Nucl Med 2000;41:712-9
  5. Kritzman JN, Ficaro EP, Corbett JR. Reproducibility of 3-D MSPECT for quantitative gated SPECT sestamibi perfusion analysis [abstract]. J Nucl Med 2000;41.(suppl):166P
  6. Ficaro EP, Kritzman JN, Corbett JR. Development and clinical validation of normal Tc-99m sestamibi database: comparison of 3D-MSPECT to Cequal [abstract]. J Nucl Med 1999;40.(suppl):125P
  7. Faber TL, Akers MS, Peshock RM, Corbett JR. Three-dimensional motion and perfusion quantification in gated single-photon emission computed tomograms. J Nucl Med 1991;32:2311-7
  8. Faber TL, Cooke CD, Folks RD, Vansant JP, Nichols KJ, DePuey EG, et al. Left ventricular function and perfusion from gated perfusion images: an integrated method. J Nucl Med 1999;40:650-9
  9. Svensson A, Akesson L, Edenbrandt L. Quantification of myocardial perfusion defects using three different software packages. Eur J Nucl Med 2004;31:229-32 https://doi.org/10.1007/s00259-003-1361-4
  10. Nakajima K, Higuchi T, Taki J, Kawano M, Tonami N. Accuracy of Ventricular Volume and Ejection Fraction Measured by Gated Myocardial SPECT: Comparison of 4 Software Programs. J Nucl Med 2001;42:1571-8
  11. Nichols K, Santana CA, Folks R, Krawczynska E, Cooke CD, Faber TL, et al. Comparison between ECTb and QGS for assessment of left ventricular function from gated myocardial perfusion SPECT. J Nucl Cardiol 2002;9:285-93 https://doi.org/10.1067/mnc.2002.121449
  12. Ababneh AA, Sciacca RR, Kim B, Bergmann SR. Normal limits for left ventricular ejection fraction and volumes estimated with gated myocardial perfusion imaging in patients with normal exercise test results: influence of tracer, gender, and acquisition camera. J Nucl Cardiol 2000;7:661-8 https://doi.org/10.1067/mnc.2000.109861
  13. Rozanski A, Nichols K, Yao SS, Malholtra S, Cohen R, DePuey EG. Development and application of normal limits for left ventricular ejection fraction and volume measurements from 99mTc-sestamibi myocardial perfusion gates SPECT. J Nucl Med 2000;41:1445-50
  14. Jung SY, Ahn BC, Lee JT, Lee KB. Normal limits of left ventricular volumes and ejection fraction measured by gated myocardial perfusion SPECT [abstract]. Korean J Nucl Med 2002;36:84P
  15. Hyun IY, Seo JK, Kwan J, Park KS, Choe WS, Lee WH. Normal Limits of Left Ventricular Volumes and Ejection Fraction Measured by Gated Myocardial Perfusion SPECT: Comparison of Tc-99m MIBI and Tl-201. Korean J Nucl Med 2003;37:147-52
  16. De Sutter J, Van de Wiele C, D'Asseler Y, De Bondt P, De Backer G, Rigo P, et al. Automatic quantification of defect size using normal templates: a comparative clinical study of three commercially available algorithms. Eur J Nucl Med 2000;27:1827-34 https://doi.org/10.1007/s002590000389
  17. Lum DP, Coel MN. Comparison of automatic quantification software for the measurement of ventricular volume and ejection fraction in gated myocardial perfusion SPECT. Nucl Med Comm 2003;24:259-66 https://doi.org/10.1097/00006231-200303000-00005
  18. Lipke CS, Kuhl HP, Nowak B, Kaiser HJ, Reinartz P, Koch KC, et al. Validation of 4D-MSPECT and QGS for quantification of left ventricular volumes and ejection fraction from gated 99mTc-MIBI SPET: comparison with cardiac magnetic resonance imaging. Eur J Nucl Med 2004;31:482-90 https://doi.org/10.1007/s00259-003-1411-y
  19. Schaefer WM, Lipke CS, Nowak B, Kaiser HJ, Reinartz P, Buecker A, et al. Validation of QGS and 4D-MSPECT for Quantification of Left Ventricular Volumes and Ejection Fraction from Gated 18F-FDG PET: Comparison with Cardiac MRI. J Nucl Med 2004;45:74-9
  20. De Bondt P, Claessens T, Rys B, De Winter O, Vandenberghe S, Segers P, et al. Accuracy of 4 Different Algorithms for the Analysis of Tomographic Radionuclide Ventriculography Using a Physical, Dynamic 4-Chamber Cardiac Phantom. J Nucl Med 2005;46:165-71
  21. Schaefer WM, Lipke CS, Standke D, Kuhl HP, Nowak B, Kaiser HJ. et al. Quantification of Left Ventricular Volumes and Ejection Fraction from Gated 99mTc-MIBI SPECT: MRI Validation and Comparison of the Emory Cardiac Tool Box with QGS and 4D-MSPECT. J Nucl Med 2005;46:1256-63
  22. De Bondt P, De Winter O, De Sutter J, Dierckx RA. Agreement between four available algorithms to evaluate global systolic left and right ventricular function from tomographic radionuclide ventriculography and comparison with planar imaging. Nucl Med Comm. 2005;26:351-9 https://doi.org/10.1097/00006231-200504000-00008
  23. Pryor DB, Harrell FE, Lee KL, Califf RM, Rosati RA. Estimating the likelihood of significant coronary artery disease. Am J Med 1983;75:771-80 https://doi.org/10.1016/0002-9343(83)90406-0
  24. Masahiro T, Shin-ichiro K, Keiichi C, Sunao M, Tetsuji K, Hidenobu N, et al. Comparison of Emory and Cedars-Sinai methods for assessment of left ventricular function from gated myocardial perfusion SPECT in patients with a small heart. Ann Nucl Med 2000;14:421-6 https://doi.org/10.1007/BF02988287
  25. Hambye AS, Vervaet A, Dobbeleir A. Variability of left ventricular ejection fraction and volumes with quantitative gated SPECT: influence of algorithm, pixel size and reconstruction parameters in small and normal-sized hearts. Eur J Nucl Med 2004;31:1606-13 https://doi.org/10.1007/s00259-004-1601-2
  26. Park SW. Multicenter trial for estimation of normal values of echocardiographic indices in Korea. Korean Circulation J 2000;30:373-82 https://doi.org/10.4070/kcj.2000.30.3.373
  27. Verani MS, Mahmarian JJ, Hixson JB, Boyce TM, Staudacher RA. Diagnosis of coronary artery disease by controlled coronary vasodilation with adenosine and thallium-201 scintigraphy in patients unable to exercise. Circulation 1990;82:80-7 https://doi.org/10.1161/01.CIR.82.1.80
  28. Ogilby JD, Iskandrian AS, Untereker WJ, Heo J, Nguyen TN, Mercuro J. Effect of intravenous adenosine infusion on myocardial perfusion and function. Hemodynamic/angiographic and scintigraphic study. Circulation 1992;86:887-95 https://doi.org/10.1161/01.CIR.86.3.887
  29. Johnson LL, Verdesca SA, Aude WY, Xavier RC, Nott LT, Campanella MW, et al. Postischemic stunning can affect left ventricular ejection fraction and regional wall motion on post-stress gated stestamibi tomograms. J Am Coll Cardiol 1997;30:1641-8 https://doi.org/10.1016/S0735-1097(97)00388-4
  30. De Bondt P, Van de Wiele C, De Sutter J, De Winter F, De Backer G, Dierckx RA. Age and gender specific differences in left ventricular cardiac function and volumes determined by gated SPET. Eur J Nucl Med 2001;28:620-4 https://doi.org/10.1007/s002590100498
  31. Nuclear medical group of Siemens medical solution. The users manual for 4D-MSPECT. Operating Instructions 4D-MSPECT with e.soft 2002;127-34