Software reproducibility of myocardial blood flow and flow reserve quantification in ischemic heart disease: A 13N-ammonia PET study
- PMID: 30903608
- DOI: 10.1007/s12350-019-01620-3
Software reproducibility of myocardial blood flow and flow reserve quantification in ischemic heart disease: A 13N-ammonia PET study
Abstract
Background: We explored agreement in the quantification of myocardial perfusion by cross-comparison of implemented software packages (SPs) in three distinguishable patient profile populations.
Methods: We studied 91 scans of patients divided into 3 subgroups based on their semi-quantitative perfusion findings: patients with normal perfusion, with reversible perfusion defects, and with fixed perfusion defects. Rest myocardial blood flow (MBF), stress MBF, and myocardial flow reserve (MFR) were obtained with QPET, SyngoMBF, and Carimas. Agreement between SPs was considered adequate when a pairwise standardized difference was found to be < 0.20 and its corresponding intraclass correlation coefficient was ≥ 0.75.
Results: In patients with normal perfusion, two out of three comparisons of global stress MBF quantifications were outside the limits of agreement. In ischemic patients, all comparisons of global stress MBF and MFR were outside the limits of established agreement. In patients with fixed perfusion defects, all SP comparisons of perfusion quantifications were within the limit of agreement. Regionally, agreement of these perfusion estimates was mostly found for the left anterior descending artery vascular territory.
Conclusion: Reversible defects demonstrated the worst agreement in global stress MBF and MFR and discrepancies showed to be regional dependent. Reproducibility between SPs should not be assumed.
Keywords: Myocardial ischemia and infarction; PET; diagnostic and prognostic application; image interpretation; image reconstruction; myocardial blood flow.
Comment in
-
Relative disagreement among different software packages in PET-flow quantitation: An appeal for consistency.J Nucl Cardiol. 2020 Aug;27(4):1234-1236. doi: 10.1007/s12350-019-01633-y. Epub 2019 Mar 22. J Nucl Cardiol. 2020. PMID: 30903607 No abstract available.
References
-
- Jaarsma C, Leiner T, Bekkers SC, Crijns HJ, Joachim E, Nagel E, et al. Diagnostic performance of noninvasive myocardial perfusion imaging using single-photon emission computed tomography, cardiac magnetic resonance, and positron emission tomography imaging for the detection of obstructive coronary artery disease. JACC 2012;59:1719-28. https://doi.org/10.1016/j.jacc.2011.12.040 . - DOI - PubMed
-
- Sciagrà R, Passeri A, Bucerius J, Verberne HJ, Slart RHJA, Lindner O, et al. Clinical use of quantitative cardiac perfusion PET: Rationale, modalities and possible indications. Position paper of the Cardiovascular Committee of the European Association of Nuclear Medicine (EANM). Eur J Nucl Med Mol Imaging 2016;43:1530-45. https://doi.org/10.1007/s00259-016-3317-5 . - DOI - PubMed
-
- Knuuti J, Ballo H, Juarez-Orozco LE, Saraste A, Kolh P, Rutjes AWS, et al. The performance of non-invasive tests to rule-in and rule-out significant coronary artery stenosis in patients with stable angina: A meta-analysis focused on post-test disease probability. Eur Heart J 2018;1-9. https://academic.oup.com/eurheartj/advance-article/doi/10.1093/eurheartj... .
-
- Juárez-Orozco LE, Tio RA, Alexanderson E, Dweck M, Vliegenthart R, El Moumni M, et al. Quantitative myocardial perfusion evaluation with positron emission tomography and the risk of cardiovascular events in patients with coronary artery disease: A systematic review of prognostic studies. Eur Heart J Cardiovasc Imaging 2017. https://doi.org/10.1093/ehjci/jex331 . - DOI - PMC
-
- Dorbala S, Di Carli MF. Cardiac PET perfusion: Prognosis, risk stratification, and clinical management. Semin Nucl Med 2014;44:344-57. - DOI
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
