TY - JOUR
T1 - Accuracy and Reproducibility of Myocardial Blood Flow Quantification by Single Photon Emission Computed Tomography Imaging in Patients With Known or Suspected Coronary Artery Disease
AU - De Souza, Ana Carolina Do A.H.
AU - Harms, Hendrik J.
AU - Martell, Laurel
AU - Bibbo, Courtney
AU - Harrington, Meagan
AU - Sullivan, Kyle
AU - Hainer, Jon
AU - Dorbala, Sharmila
AU - Blankstein, Ron
AU - Taqueti, Viviany R.
AU - Foley Kijewski, Marie
AU - Park, Mi Ae
AU - Meretta, Alejandro
AU - Breault, Christopher
AU - Roth, Nathaniel
AU - Poitrasson-Rivière, Alexis
AU - Soman, Prem
AU - Gullberg, Grant T.
AU - Di Carli, Marcelo F.
N1 - Funding Information:
Dr Dorbala received research grants and consulting fees from Pfizer and GE. Dr Blankstein received research support from Amgen Inc and Astellas Pharma. Dr Soman received Research Grants from Astellas Pharma and Pfizer, Consulting fees from Pfizer, Alnylam, and Eidos. C. Breault is an employee of Spectrum Dynamics. Dr Roth is an employee of Spectrum Dynamics. Dr Poitrasson-Rivière is an employee of INVIA Medical Imaging Solutions. Dr Di Carli received Research grants from Gilead Sciences and Spectrum Dynamics (see sources of funding) and consulting fees from Bayer and Janssen. The other authors report no conflicts.
Funding Information:
The study was supported by an investigator-initiated, institutional grant from Spectrum Dynamics.
Publisher Copyright:
© 2022 Asia-Pacific Academy of Ophthalmology.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - Background: Single photon emission computed tomography (SPECT) has limited ability to identify multivessel and microvascular coronary artery disease. Gamma cameras with cadmium zinc telluride detectors allow the quantification of absolute myocardial blood flow (MBF) and myocardial flow reserve (MFR). However, evidence of its accuracy is limited, and of its reproducibility is lacking. We aimed to validate 99mTc-sestamibi SPECT MBF and MFR using standard and spline-fitted reconstruction algorithms compared with 13N-ammonia positron emission tomography in a cohort of patients with known or suspected coronary artery disease and to evaluate the reproducibility of this technique. Methods: Accuracy was assessed in 34 participants who underwent dynamic 99mTc-sestamibi SPECT and 13N-ammonia positron emission tomography and reproducibility in 14 participants who underwent 2 99mTc-sestamibi SPECT studies, all within 2 weeks. A rest/pharmacological stress single-day SPECT protocol was performed. SPECT images were reconstructed using a standard ordered subset expectation maximization (OSEM) algorithm with (N=21) and without (N=30) application of spline fitting. SPECT MBF was quantified using a net retention kinetic model and MFR was derived as the stress/rest MBF ratio. Results: SPECT global MBF with splines showed good correlation with 13N-ammonia positron emission tomography (r=0.81, P<0.001) and MFR estimates (r=0.74, P<0.001). Correlations were substantially weaker for standard reconstruction without splines (r=0.61, P<0.001 and r=0.34, P=0.07, for MBF and MFR, respectively). Reproducibility of global MBF estimates with splines in paired SPECT scans was good (r=0.77, P<0.001), while ordered subset expectation maximization without splines led to decreased MBF (r=0.68, P<0.001) and MFR correlations (r=0.33, P=0.3). There were no significant differences in MBF or MFR between the 2 reproducibility scans independently of the reconstruction algorithm (P>0.05 for all). Conclusions: MBF and MFR quantification using 99mTc-sestamibi cadmium zinc telluride SPECT with spatiotemporal spline fitting improved the correlation with 13N-ammonia positron emission tomography flow estimates and test/retest reproducibility. The use of splines may represent an important step toward the standardization of SPECT flow estimation.
AB - Background: Single photon emission computed tomography (SPECT) has limited ability to identify multivessel and microvascular coronary artery disease. Gamma cameras with cadmium zinc telluride detectors allow the quantification of absolute myocardial blood flow (MBF) and myocardial flow reserve (MFR). However, evidence of its accuracy is limited, and of its reproducibility is lacking. We aimed to validate 99mTc-sestamibi SPECT MBF and MFR using standard and spline-fitted reconstruction algorithms compared with 13N-ammonia positron emission tomography in a cohort of patients with known or suspected coronary artery disease and to evaluate the reproducibility of this technique. Methods: Accuracy was assessed in 34 participants who underwent dynamic 99mTc-sestamibi SPECT and 13N-ammonia positron emission tomography and reproducibility in 14 participants who underwent 2 99mTc-sestamibi SPECT studies, all within 2 weeks. A rest/pharmacological stress single-day SPECT protocol was performed. SPECT images were reconstructed using a standard ordered subset expectation maximization (OSEM) algorithm with (N=21) and without (N=30) application of spline fitting. SPECT MBF was quantified using a net retention kinetic model and MFR was derived as the stress/rest MBF ratio. Results: SPECT global MBF with splines showed good correlation with 13N-ammonia positron emission tomography (r=0.81, P<0.001) and MFR estimates (r=0.74, P<0.001). Correlations were substantially weaker for standard reconstruction without splines (r=0.61, P<0.001 and r=0.34, P=0.07, for MBF and MFR, respectively). Reproducibility of global MBF estimates with splines in paired SPECT scans was good (r=0.77, P<0.001), while ordered subset expectation maximization without splines led to decreased MBF (r=0.68, P<0.001) and MFR correlations (r=0.33, P=0.3). There were no significant differences in MBF or MFR between the 2 reproducibility scans independently of the reconstruction algorithm (P>0.05 for all). Conclusions: MBF and MFR quantification using 99mTc-sestamibi cadmium zinc telluride SPECT with spatiotemporal spline fitting improved the correlation with 13N-ammonia positron emission tomography flow estimates and test/retest reproducibility. The use of splines may represent an important step toward the standardization of SPECT flow estimation.
KW - myocardial blood flow
KW - myocardial flow reserve
KW - positron emission tomography
KW - tomography, emission-computed, single-photon
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U2 - 10.1161/CIRCIMAGING.122.013987
DO - 10.1161/CIRCIMAGING.122.013987
M3 - Article
C2 - 35674051
AN - SCOPUS:85132455976
SN - 1941-9651
VL - 15
SP - E013987
JO - Circulation: Cardiovascular Imaging
JF - Circulation: Cardiovascular Imaging
IS - 6
ER -