Comparison of diagnostic performances of three different software packages in detecting coronary artery disease

Güner, Levent; Karabacak, Neşe İlgin; Çakır, Tansel; Akdemir, Ozgur; Kocaman, Sinan Altan; Çengel, Atiye; Ünlü, Mustafa

doi:10.1007/s00259-010-1522-1

Cited by 23 publications

(20 citation statements)

References 21 publications

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“…also showed those of LAD, LCx, and RCA were 0.71, 0.79, and 0.74, respectively [9]. The AUCs from the developed software showed similar to those from the previous studies in the coronary-based analysis.…”

Section: Discussionsupporting

confidence: 71%

“…To overcome these limitations, commercially available software packages such as 4D-MSPECT (University of Michigan Medical Center, Ann Arbor, MI, USA), Emory's Cardiac Toolbox (Emory University, Atlanta, GA, USA), and Quantitative Perfusion SPECT (QPS) (Cedars-Sinai Medical Center, Los Angeles, CA, USA) have provided quantitative and reproducible results in assessment of MPS study [3][4][5][6][7]. Though, differences of the sensitivity, specificity, and accuracy in the detection of CAD were observed among these software packages [8][9]. The difference of the scoring algorithm was also demonstrate in the assessment of the reversible perfusion defects using summed difference score (SRS) [10].…”

Section: Introductionmentioning

confidence: 99%

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Quantification of myocardial perfusion SPECT using freeware package (cardioBull)

et al. 2011

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Objective: We have developed freeware package for automatically quantifying myocardial perfusion and 123 I-labeled radiopharmaceutical single-photon emission computed tomography (SPECT), which is called "cardioBull". We aim to evaluate diagnostic performance of the detection of coronary artery disease (CAD) on the developed software in comparison with commercially available software package (Quantitative Perfusion SPECT (QPS)). Methods: Stress-rest 99mTc-sestamibi myocardial perfusion SPECT was performed in 36 patients with CAD and 35 control patients. A ≥75% stenosis in the coronary artery was identified by coronary angiography in the CAD group. Segmental perfusion defect score was automatically calculated by both cardioBull and QPS software. Summed stress score (SSS) was obtained to detect CAD by the receiver operator characteristic (ROC) analysis. Areas under the ROC curves (AUC)were calculated in patient-based and coronary-based analyses.Results: Mean SSSs showed no significant difference between cardioBull and QPS (6.0 ± 7.1 vs. 5.6 ± 7.0). The AUC for cardioBull was equivalent to that for QPS (0.91 ± 0.04 vs. 0.87 ± 0.04, p = n.s.). Sensitivity, specificity, and accuracy for cardioBull were 89%, 74%, and 82%, respectively.For the regional detection of CAD, the AUC showed largest value in LAD territory (0.86 ± 0.06 for cardioBull, 0.87 ± 0.06 for QPS, p = n.s.). Sensitivity, specificity and accuracy of cardioBull were 70%, 88%, and 83% for the LAD, 91%, 62%, and 66% for the LCx, and 78%, 69%, and 70% for the RCA, respectively. Conclusions:The AUC, sensitivity, specificity and accuracy for the detection of CAD showed high diagnostic performance on the developed software. Additionally, the developed software provided comparable diagnostic performance to the commercially available software package.

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Section: Discussionsupporting

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Quantification of myocardial perfusion SPECT using freeware package (cardioBull)

et al. 2011

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“…15,16 Both strategies for the definitions of normal limits databases of myocardial perfusion have relevant drawbacks and limitations. On one hand, the selection of patients at exceedingly low risk of CAD may identify only an extreme of the distribution of normal patients, theoretically limiting the applicability of those data to a more vast population of subjects.…”

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confidence: 99%

Improving cardiac SPECT accuracy: Old robustness for a new gold standard

Gimelli

Liga

2017

Journal of Nuclear Cardiology

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“…These scores may vary according to physiological determinants (amount of myocardial ischaemia) and methodological criteria including type of tracer administered, kind of stressors, algorithm for single photon emission computed tomography (SPECT) reconstruction, software for quantification, left ventricular segmentation model and reliability of the normal database. In this issue of the European Journal of Nuclear Medicine and Molecular Imaging Guner et al evaluate the performances of three of the most popular software packages adopted worldwide for "quantitative analysis" of myocardial perfusion imaging (MPI): the CEqual, the Emory Cardiac Toolbox and the 4D-MSPECT [2]. In this retrospective study the authors investigate the diagnostic accuracy in a large cohort of subjects in comparison to coronary angiography to detect coronary disease using both the database of normal subjects provided by the commercial software and an institutional database collected at the Department of Nuclear Medicine, Gazi University School of Medicine, Besevler, Ankara, Turkey.…”

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confidence: 99%

“…In nuclear cardiology, traditional quantitative measures can be categorized in hierarchical order according to the complexity of the measure: (1) relative (count/voxel), (2) absolute (MBq/cm 3 ) and (3) physiological (cm 3 /s per g). The pathophysiology of coronary blood flow and ischaemia has been widely evaluated by absolute measures of blood flow and coronary flow reserve by positron emission tomography (PET) imaging with a variety of tracers including 15 O, 13 NH 3 and 82 Rb and by standard nuclear medicine with 99m Tc-microspheres.…”

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confidence: 99%

Comparison of diagnostic performances of three different software packages in detecting coronary artery disease

Giubbini

Bertagna

2010

Eur J Nucl Med Mol Imaging

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Quantitation was and is the main diagnostic goal of nuclear medicine. The ability to measure a process or to quantify a disease reflects the capability of a diagnostic tool to understand the intimal mechanism of physiological processes. Observing or measuring are completely different attitudes and they make the difference between modern, evidence-based medicine and the medicine of the nineteenth century based on subjectivity of physicians rather than objectivity of data.The measure of myocardial blood flow and the definition of coronary flow reserve [1] have defined a cultural background able to open new research perspectives to investigators interested in understanding the intrinsic mechanism of myocardial ischaemia and coronary artery disease.Measuring itself, however, is necessary but not sufficient to provide effective clinical information if investigators and physicians are not aware about the robustness of the quantitative data provided by different diagnostic tools.In nuclear cardiology, traditional quantitative measures can be categorized in hierarchical order according to the complexity of the measure: (1) relative (count/voxel), (2) absolute (MBq/cm 3 ) and (3) physiological (cm 3 /s per g). The pathophysiology of coronary blood flow and ischaemia has been widely evaluated by absolute measures of blood flow and coronary flow reserve by positron emission tomography (PET) imaging with a variety of tracers including 15 O, 13 NH 3 and 82 Rb and by standard nuclear medicine with 99m Tc-microspheres. Other non-nuclear methods including fractional flow reserve and coronary flow velocity reserve have been widely validated to measure the physiological severity of a stenosis which may or may not determine myocardial ischaemia in subtended vascular territories. All these methods, however, require sophisticated technology, including PET, cyclotrons for production of shortlived isotopes or expensive rubidium generators, complicated analysis programs which not always guarantee high reproducibility or, when non-nuclear methods are applied, invasive tests. This is the reason why the use of absolute, physiologically relevant approaches are limited to a few academic centres and are mainly utilized for research purposes. Therefore simpler, cheaper and more easily applicable methods have been developed for evaluating myocardial ischaemia. Although unable to measure the coronary blood flow, the relative methods allow the calculation of extent and severity of perfusion defects in comparison to a normal database. The degrees of extent and severity of perfusion defects are integrated in an adimensional score that is an index of myocardial scar and/or ischaemia. These scores may vary according to physiological determinants (amount of myocardial ischaemia) and methodological criteria including type of tracer administered, kind of stressors, algorithm for single photon emission computed tomography (SPECT) reconstruction, software for quantification, left ventricular segmentation model and reliability of the normal database. In t...

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Comparison of diagnostic performances of three different software packages in detecting coronary artery disease

Abstract: The diagnostic performances of programs to detect CAD are similar. However, there are differences in the magnitudes of the quantitative values produced by the programs.

Cited by 23 publications

References 21 publications

Quantification of myocardial perfusion SPECT using freeware package (cardioBull)

Quantification of myocardial perfusion SPECT using freeware package (cardioBull)

Improving cardiac SPECT accuracy: Old robustness for a new gold standard

Comparison of diagnostic performances of three different software packages in detecting coronary artery disease

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