Quantitative myocardial perfusion 82Rb-PET assessed by hybrid PET/coronary-CT: Normal values and diagnostic performance

Freitag, Martin T.; Bremerich, Jens; Wild, Damian; Haaf, Philip; Zellweger, Michael J.; Caobelli, Federico

doi:10.1007/s12350-020-02264-4

Cited by 12 publications

(9 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the results of our study, sMBF yields more accurate prognostic information. This is consistent to what was reported from previous PET studies [ 35 , 36 ] and may be explained by the fact that due to the absence of epicardial coronary stenosis, sMBF largely reflects the true coronary microvascular perfusion status of INOCA patients. Furthermore, impaired CFR is influenced by increased resting blood flow, which is not necessarily consistent with coronary stenosis, subsequently leading to less specific for predicting MACEs [ 37 , 43 ].…”

Section: Discussionsupporting

confidence: 92%

See 1 more Smart Citation

The prognostic value of CZT SPECT myocardial blood flow (MBF) quantification in patients with ischemia and no obstructive coronary artery disease (INOCA): a pilot study

Zhang

Caobelli

Che

et al. 2023

Eur J Nucl Med Mol Imaging

Self Cite

View full text Add to dashboard Cite

Background Despite the demonstrated adverse outcome, it is difficult to early identify the risks for patients with ischemia and no obstructive coronary artery disease (INOCA). We aimed to explore the prognostic potential of CZT SPECT in INOCA patients. Methods The study population consisted of a retrospective cohort of 118 INOCA patients, all of whom underwent CZT SPECT imaging and invasive coronary angiography (ICA). Dynamic data were reconstructed, and MBF was quantified using net retention model. Major adverse cardiovascular events (MACEs) were defined as cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, heart failure, late coronary revascularization, or hospitalization for unstable angina. Results During a median follow-up of 15 months (interquartile range (IQR) 11–20), 19 (16.1%) MACEs occurred; both stress myocardial blood flow (sMBF) ($$p<0.001$$ p < 0.001 ) and coronary flow reserve (CFR) ($$p<0.001$$ p < 0.001 ) were significantly lower in the MACE group. Optimal thresholds of sMBF<3.16 and CFR<2.52 were extracted from the ROC curves, and both impaired sMBF (HR: 15.08; 95% CI 2.95–77.07; $$p=0.001$$ p = 0.001 ) and CFR (HR: 6.51; 95% CI 1.43–29.65; $$p=0.01$$ p = 0.01 ) were identified as prognostic factors for MACEs. Only sMBF<3.16 (HR: 11.20; 95% CI 2.04–61.41; $$p=0.005$$ p = 0.005 ) remained a robust predictor when sMBF and CFR were integrated considered. Compared with CFR, sMBF provides better prognostic model discrimination and reclassification ability (C-index improvement = 0.06, $$p=0.02$$ p = 0.02 ; net reclassification improvement (NRI) = 0.19; integrated discrimination improvement (IDI) = 0.10). Conclusion The preliminary results demonstrated that quantitative analysis on CZT SPECT provides prognostic value for INOCA patients, which may allow the stratification for early prevention and intervention.

show abstract

Section: Discussionsupporting

confidence: 92%

“…An important point is to establish thresholds in MBF able to predict the individual risk of cardiac disease progression. Previous studies featuring PET/CT MPI used CFR<2 as the cutoff value [ 34 – 36 ]. Several studies have calculated prognostic cutoff values for different cohorts.…”

Section: Discussionmentioning

confidence: 99%

The prognostic value of CZT SPECT myocardial blood flow (MBF) quantification in patients with ischemia and no obstructive coronary artery disease (INOCA): a pilot study

Zhang

Caobelli

Che

et al. 2023

Eur J Nucl Med Mol Imaging

Self Cite

View full text Add to dashboard Cite

show abstract

“…SDS under 1 point was considered normal perfusion; mildly abnormal from 2 to 4; moderately abnormal from 5 to 7; and severely impaired perfusion > 8. Ischemia was defined as a sum difference score (SDS) ≥ 2 13 .…”

Section: Myocardial Perfusion Image Technique and Classificationmentioning

confidence: 99%

Comorbidities and clinical symptoms can modify myocardial function: a cross-sectional study with PET/CT

Alexánderson-Rosas¹,

Antonio-Villa²,

Guerra³

et al. 2023

ACM

View full text Add to dashboard Cite

Objective: Associating comorbidities and cardiac symptoms that alter myocardial mechanical function could help clinicians to correctly identify at-risk population. Methods: We conducted a functional open population cross-sectional study of patients referred to a positron emission computed tomography/computed tomography unit in Mexico City for evaluation of myocardial function, perfusion, and coronary circulation. Ischemia was defined as a sum difference score (SDS) > 2. Association between comorbidities and cardiac symptoms was tested using logistic regression models and trend analysis. We performed an interaction analysis to evaluate the addition of any accompanying symptoms to comorbid conditions on impairment of myocardial function. Results: One thousand two hundred and seventy-three patients were enrolled, 66.1% male, with a mean age of 62.4 (± 12.7) years, 360 (28.7%) with ischemia, 925 (72.7%) with at least one comorbidity, and 676 (53.1%) had at least one associated cardiac symptom. Patients without ischemia, type 2 diabetes, arterial hypertension, and adverse cardiac symptoms were associated with adverse function, perfusion, and coronary flow parameters. We observed a trend of a cumulative number of comorbidities and cardiac symptoms with increased ischemia and decreased coronary flow. Only in decreased LVEF, we demonstrated an interaction effect between increased comorbidities and adverse symptoms. Conclusions: The high burden of comorbidities and symptoms in our population alter myocardial function regardless of the level of ischemia.

show abstract

“…We report MBF and MFR with and without corrections for the rate-pressure product (RPP), defined as RPP = (systolic blood pressure)/(Heart rate); corrected rest MBF = (rest MBF)/RPP x 6500 and corrected stress MBF = (stress MBF)/RPP x 8600. Stress MBF and MFR above 3.0 were considered normal (14).…”

Section: Imaging Protocolmentioning

confidence: 99%

Sex Differences and Caffeine Impact in Adenosine-Induced Hyperemia

et al. 2021

View full text Add to dashboard Cite

show abstract

Quantitative myocardial perfusion 82Rb-PET assessed by hybrid PET/coronary-CT: Normal values and diagnostic performance

Cited by 12 publications

References 21 publications

The prognostic value of CZT SPECT myocardial blood flow (MBF) quantification in patients with ischemia and no obstructive coronary artery disease (INOCA): a pilot study

The prognostic value of CZT SPECT myocardial blood flow (MBF) quantification in patients with ischemia and no obstructive coronary artery disease (INOCA): a pilot study

Comorbidities and clinical symptoms can modify myocardial function: a cross-sectional study with PET/CT

Sex Differences and Caffeine Impact in Adenosine-Induced Hyperemia

Contact Info

Product

Resources

About