BACKGROUND: The aim of this myocardial perfusion imaging (MPI) study was to compare the diagnostic performance of two computer-aided diagnosis (CAD) systems, EXINI Heart(TM) (EXINI), and PERFEX(TM) (PERFEX) Emory Cardiac Toolbox (ECT), and the summed stress score (SSS) values from both software packages. METHODS: We studied 1,052 consecutive patients who underwent 2-day stress/rest (99m)Tc-sestamibi MPI studies. The reference standard classifications for the MPI studies were obtained from three experienced physicians who separately classified all cases regarding the presence or absence of ischemia and/or infarction. Automatic processing was carried out using EXINI and PERFEX to obtain CAD results and SSS values based on the 17-segment model. RESULTS: The three experts' classifications showed ischemia in 257 patients and abnormal studies, i.e., either ischemia or infarction or both, in 318 patients. Accuracy was significantly higher in EXINI than in PERFEX, regarding both the detection of ischemia (87.4 vs 77.6%; P < 0.0001) and the detection of abnormal studies (91.6 vs 67.9%; P < 0.0001). EXINI's CAD system showed a higher specificity than its SSS values (86.8 vs 73.6%; P < 0.0001) at the same level of sensitivity. CONCLUSIONS: EXINI demonstrated greater diagnostic accuracy for detection of ischemia and abnormal studies than did PERFEX. EXINI CAD also outperformed its SSS analysis.
BACKGROUND: The aim of this myocardial perfusion imaging (MPI) study was to compare the diagnostic performance of two computer-aided diagnosis (CAD) systems, EXINI Heart(TM) (EXINI), and PERFEX(TM) (PERFEX) Emory Cardiac Toolbox (ECT), and the summed stress score (SSS) values from both software packages. METHODS: We studied 1,052 consecutive patients who underwent 2-day stress/rest (99m)Tc-sestamibi MPI studies. The reference standard classifications for the MPI studies were obtained from three experienced physicians who separately classified all cases regarding the presence or absence of ischemia and/or infarction. Automatic processing was carried out using EXINI and PERFEX to obtain CAD results and SSS values based on the 17-segment model. RESULTS: The three experts' classifications showed ischemia in 257 patients and abnormal studies, i.e., either ischemia or infarction or both, in 318 patients. Accuracy was significantly higher in EXINI than in PERFEX, regarding both the detection of ischemia (87.4 vs 77.6%; P < 0.0001) and the detection of abnormal studies (91.6 vs 67.9%; P < 0.0001). EXINI's CAD system showed a higher specificity than its SSS values (86.8 vs 73.6%; P < 0.0001) at the same level of sensitivity. CONCLUSIONS: EXINI demonstrated greater diagnostic accuracy for detection of ischemia and abnormal studies than did PERFEX. EXINI CAD also outperformed its SSS analysis.
Authors: Milan Lomsky; Peter Gjertsson; Lena Johansson; Jens Richter; Mattias Ohlsson; Deborah Tout; Andries van Aswegen; S Richard Underwood; Lars Edenbrandt Journal: Eur J Nucl Med Mol Imaging Date: 2008-03-04 Impact factor: 9.236
Authors: E V Garcia; C D Cooke; R D Folks; C A Santana; E G Krawczynska; L De Braal; N F Ezquerra Journal: J Nucl Med Date: 2001-08 Impact factor: 10.057
Authors: Rory Hachamovitch; Alan Rozanski; Leslee J Shaw; Gregg W Stone; Louise E J Thomson; John D Friedman; Sean W Hayes; Ishac Cohen; Guido Germano; Daniel S Berman Journal: Eur Heart J Date: 2011-01-21 Impact factor: 29.983
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: 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: S R Underwood; C Anagnostopoulos; M Cerqueira; P J Ell; E J Flint; M Harbinson; A D Kelion; A Al-Mohammad; E M Prvulovich; L J Shaw; A C Tweddel Journal: Eur J Nucl Med Mol Imaging Date: 2004-02 Impact factor: 9.236