UNLABELLED: The aim of this study was to validate Quantitative Gated SPECT (QGS) and 4D-MSPECT for assessing left ventricular end-diastolic and systolic volumes (EDV and ESV, respectively) and left ventricular ejection fraction (LVEF) from gated (18)F-FDG PET. METHODS: Forty-four patients with severe coronary artery disease were examined with gated (18)F-FDG PET (8 gates per cardiac cycle). EDV, ESV, and LVEF were calculated from gated (18)F-FDG PET using QGS and 4D-MSPECT. Within 2 d (median), cardiovascular cine MRI (cMRI) (20 gates per cardiac cycle) was done as a reference. RESULTS: QGS failed to accurately detect myocardial borders in 1 patient; 4D-MSPECT, in 2 patients. For the remaining 42 patients, correlation between the results of gated (18)F-FDG PET and cMRI was high for EDV (R = 0.94 for QGS and 0.94 for 4D-MSPECT), ESV (R = 0.95 for QGS and 0.95 for 4D-MSPECT), and LVEF (R = 0.94 for QGS and 0.90 for 4D-MSPECT). QGS significantly (P < 0.0001) underestimated LVEF, whereas no other parameter differed significantly between gated (18)F-FDG PET and cMRI for either algorithm. CONCLUSION: Despite small systematic differences that, among other aspects, limit interchangeability, agreement between gated (18)F-FDG PET and cMRI is good across a wide range of clinically relevant volumes and LVEF values assessed by QGS and 4D-MSPECT.
UNLABELLED: The aim of this study was to validate Quantitative Gated SPECT (QGS) and 4D-MSPECT for assessing left ventricular end-diastolic and systolic volumes (EDV and ESV, respectively) and left ventricular ejection fraction (LVEF) from gated (18)F-FDG PET. METHODS: Forty-four patients with severe coronary artery disease were examined with gated (18)F-FDG PET (8 gates per cardiac cycle). EDV, ESV, and LVEF were calculated from gated (18)F-FDG PET using QGS and 4D-MSPECT. Within 2 d (median), cardiovascular cine MRI (cMRI) (20 gates per cardiac cycle) was done as a reference. RESULTS: QGS failed to accurately detect myocardial borders in 1 patient; 4D-MSPECT, in 2 patients. For the remaining 42 patients, correlation between the results of gated (18)F-FDG PET and cMRI was high for EDV (R = 0.94 for QGS and 0.94 for 4D-MSPECT), ESV (R = 0.95 for QGS and 0.95 for 4D-MSPECT), and LVEF (R = 0.94 for QGS and 0.90 for 4D-MSPECT). QGS significantly (P < 0.0001) underestimated LVEF, whereas no other parameter differed significantly between gated (18)F-FDG PET and cMRI for either algorithm. CONCLUSION: Despite small systematic differences that, among other aspects, limit interchangeability, agreement between gated (18)F-FDG PET and cMRI is good across a wide range of clinically relevant volumes and LVEF values assessed by QGS and 4D-MSPECT.
Authors: Guido Germano; Paul B Kavanagh; Piotr J Slomka; Serge D Van Kriekinge; Geoff Pollard; Daniel S Berman Journal: J Nucl Cardiol Date: 2007-07 Impact factor: 5.952
Authors: Riemer H J A Slart; Jeroen J Bax; Dirk J van Veldhuisen; Ernst E van der Wall; Rudi A J O Dierckx; Pieter L Jager Journal: Int J Cardiovasc Imaging Date: 2005-12-13 Impact factor: 2.357
Authors: B Hesse; T B Lindhardt; W Acampa; C Anagnostopoulos; J Ballinger; J J Bax; L Edenbrandt; A Flotats; G Germano; T Gmeiner Stopar; P Franken; A Kelion; A Kjaer; D Le Guludec; M Ljungberg; A F Maenhout; C Marcassa; J Marving; F McKiddie; W M Schaefer; L Stegger; R Underwood Journal: Eur J Nucl Med Mol Imaging Date: 2008-04 Impact factor: 9.236
Authors: Jonghye Woo; Piotr J Slomka; Damini Dey; Victor Y Cheng; Byung-Woo Hong; Amit Ramesh; Daniel S Berman; Ronald P Karlsberg; C-C Jay Kuo; Guido Germano Journal: Med Phys Date: 2009-12 Impact factor: 4.071
Authors: Kirkeith Lertsburapa; Alan W Ahlberg; Timothy M Bateman; Deborah Katten; Lyndy Volker; S James Cullom; Gary V Heller Journal: J Nucl Cardiol Date: 2008-09-12 Impact factor: 5.952