PURPOSE: There is proven evidence for the importance of myocardial perfusion-single-photon emission computed tomography (SPECT) with computerised determination of summed stress and rest scores (SSS/SRS) for the diagnosis of coronary artery disease (CAD). SSS and SRS can thereby be calculated semi-quantitatively using a 20-segment model by comparing tracer-uptake with values from normal databases (NDB). Four severity-degrees for SSS and SRS are normally used: <4, 4-8, 9-13, and > or =14. Manufacturers' NDBs (M-NDBs) often do not fit the institutional (I) settings. Therefore, this study compared SSS and SRS obtained with the algorithms Quantitative Perfusion SPECT (QPS) and 4D-MSPECT using M-NDB and I-NDB. METHODS: I-NDBs were obtained using QPS and 4D-MSPECT from exercise stress data (450 MBq (99m)Tc-tetrofosmin, triple-head-camera, 30 s/view, 20 views/head) from 36 men with a low post-stress test CAD probability and visually normal SPECT findings. Patient group was 60 men showing the entire CAD-spectrum referred for routine perfusion-SPECT. Stress/rest results of automatic quantification of the 60 patients were compared to M-NDB and I-NDB. After reclassifying SSS/SRS into the four severity degrees, kappa values were calculated to objectify agreement. RESULTS: Mean values (vs M-NDB) were 9.4 +/- 10.3 (SSS) and 5.8 +/- 9.7 (SRS) for QPS and 8.2 +/- 8.7 (SSS) and 6.2 +/- 7.8 (SRS) for 4D-MSPECT. Thirty seven of sixty SSS classifications (kappa = 0.462) and 40/60 SRS classifications (kappa = 0.457) agreed. Compared to I-NDB, mean values were 10.2 +/- 11.6 (SSS) and 6.5 +/- 10.4 (SRS) for QPS and 9.2 +/- 9.3 (SSS) and 7.2 +/- 8.6 (SRS) for 4D-MSPECT. Forty four of sixty patients agreed in SSS and SRS (kappa = 0.621 resp. 0.58). CONCLUSION: Considerable differences between SSS/SRS obtained with QPS and 4D-MSPECT were found when using M-NDB. Even using identical patients and identical I-NDB, the algorithms still gave substantial different results.
PURPOSE: There is proven evidence for the importance of myocardial perfusion-single-photon emission computed tomography (SPECT) with computerised determination of summed stress and rest scores (SSS/SRS) for the diagnosis of coronary artery disease (CAD). SSS and SRS can thereby be calculated semi-quantitatively using a 20-segment model by comparing tracer-uptake with values from normal databases (NDB). Four severity-degrees for SSS and SRS are normally used: <4, 4-8, 9-13, and > or =14. Manufacturers' NDBs (M-NDBs) often do not fit the institutional (I) settings. Therefore, this study compared SSS and SRS obtained with the algorithms Quantitative Perfusion SPECT (QPS) and 4D-MSPECT using M-NDB and I-NDB. METHODS: I-NDBs were obtained using QPS and 4D-MSPECT from exercise stress data (450 MBq (99m)Tc-tetrofosmin, triple-head-camera, 30 s/view, 20 views/head) from 36 men with a low post-stress test CAD probability and visually normal SPECT findings. Patient group was 60 men showing the entire CAD-spectrum referred for routine perfusion-SPECT. Stress/rest results of automatic quantification of the 60 patients were compared to M-NDB and I-NDB. After reclassifying SSS/SRS into the four severity degrees, kappa values were calculated to objectify agreement. RESULTS: Mean values (vs M-NDB) were 9.4 +/- 10.3 (SSS) and 5.8 +/- 9.7 (SRS) for QPS and 8.2 +/- 8.7 (SSS) and 6.2 +/- 7.8 (SRS) for 4D-MSPECT. Thirty seven of sixty SSS classifications (kappa = 0.462) and 40/60 SRS classifications (kappa = 0.457) agreed. Compared to I-NDB, mean values were 10.2 +/- 11.6 (SSS) and 6.5 +/- 10.4 (SRS) for QPS and 9.2 +/- 9.3 (SSS) and 7.2 +/- 8.6 (SRS) for 4D-MSPECT. Forty four of sixty patients agreed in SSS and SRS (kappa = 0.621 resp. 0.58). CONCLUSION: Considerable differences between SSS/SRS obtained with QPS and 4D-MSPECT were found when using M-NDB. Even using identical patients and identical I-NDB, the algorithms still gave substantial different results.
Authors: Tali Sharir; Xingping Kang; Guido Germano; Jeroen J Bax; Leslee J Shaw; Heidi Gransar; Ishac Cohen; Sean W Hayes; John D Friedman; Daniel S Berman Journal: J Nucl Cardiol Date: 2006-07 Impact factor: 5.952
Authors: R Hachamovitch; D S Berman; L J Shaw; H Kiat; I Cohen; J A Cabico; J Friedman; G A Diamond Journal: Circulation Date: 1998-02-17 Impact factor: 29.690
Authors: Abdou Elhendy; Arend F L Schinkel; Ron T van Domburg; Jeroen J Bax; Roelf Valkema; Aukje Huurman; Harm H H Feringa; Don Poldermans Journal: Am J Cardiol Date: 2006-06-30 Impact factor: 2.778
Authors: R Hachamovitch; D S Berman; H Kiat; C N Bairey; I Cohen; A Cabico; J Friedman; G Germano; K F Van Train; G A Diamond Journal: J Am Coll Cardiol Date: 1996-07 Impact factor: 24.094
Authors: D S Berman; R Hachamovitch; H Kiat; I Cohen; J A Cabico; F P Wang; J D Friedman; G Germano; K Van Train; G A Diamond Journal: J Am Coll Cardiol Date: 1995-09 Impact factor: 24.094
Authors: D S Berman; H Kiat; J D Friedman; F P Wang; K van Train; L Matzer; J Maddahi; G Germano Journal: J Am Coll Cardiol Date: 1993-11-01 Impact factor: 24.094
Authors: Levent A Guner; Nese Ilgin Karabacak; Tansel Cakir; Ozgur U Akdemir; Sinan A Kocaman; Atiye Cengel; Mustafa Unlu Journal: Eur J Nucl Med Mol Imaging Date: 2010-06-29 Impact factor: 9.236