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Coronary Relaxation Mapping for Multi-fold Amplification in Myocardial BOLD Sensitivity
Hsin-Jung yang1, Damini Dey1, Behzad Sharif1, Jane Sykes2, John Butler2, Ivan Cokic1, Sotirios Tsaftaris3, Piotr Slomka1, Frank Prato2, and Rohan Dharmakumar1

1Cedars Sinai Medical Center, Los Angeles, CA, United States, 2Lawson Health Research Institute, 3IMT School for Advanced Studies Lucca

Synopsis

Over the past two decades cardiac BOLD MRI has seen major technical advances. However, its reliability for detecting ischemic heart disease remains poor. We hypothesized that the reliability of cardiac BOLD MRI can be improved by repeatedly acquiring BOLD images following regadenoson injection. We found that repeatedly acquired myocardial BOLD imaging following regadenoson administration can be used to significantly amplify the BOLD sensitivity and improve the reliability of myocardial BOLD MRI in health and disease.

Introduction

Over the past two decades cardiac BOLD MRI has seen major technical advances. However, its reliability for detecting ischemic heart disease remains poor, which has limited its widespread clinical adoption. A key unresolved obstacle with cardiac BOLD MRI is the artifactual signal changes that are typically observed during vasodilator stress, which originate from unstable cardiac activity in conjunction with narrow acquisition windows. Recently, ‘regadenoson’, a new coronary vasodilator has become the market leader in the US due to many of its clinical attributes. One of the interesting features of regadenoson is its prolonged duration of vasodilatory action on the coronary arteries. We hypothesized that the reliability of cardiac BOLD MRI can be improved by repeatedly acquiring BOLD images following regadenoson injection. We tested our hypothesis by (i) acquiring multiple BOLD images following regadenoson injection; (ii) registering them across acquisitions; (iii) deriving coronary relaxation estimates using an exponential model representative of the pharmacokinetics of regadenoson; and (iv) validating our findings with simultaneously acquired ammonia PET perfusion images.

Methods

Image Acquisition:

Intact (n=7) and infarcted (n=2) dogs were studied in a clinical hybrid PET/MR system (Siemens, Germany). 2D BOLD (T2 maps), LGE and 13N-NH3 PET images were acquired pre- and post-regadenoson administration (p.r.a). Free-breathing T2 maps p.r.a were repeatedly acquired over 30 mins to sample the temporal dynamic of BOLD response after regadenoson injection. Motion-Corrected Image Registration: The series of BOLD images acquired post regadenoson administration were registered using the advanced normalization tools (ANTS) software. Rest images were used as the reference for registration.

Image Analysis:

The time-dependent T2 maps were used to model the coronary relaxation as T2(t)=T2o+ΔT2max exp(-t/τ), where T2o=T2 at rest; ΔT2max=maximal T2 change from rest; and τ = time constant of coronary relaxation. Maximum BOLD response from coronary relaxation model (CRM) was estimated as MBRCRM=ΔT2max/T2o x 100% and compared to conventional myocardial BOLD response defined as MBRcon= (T22min - T2Rest)/ T2Rest x 100%, where T22min = myocardial T2 at 2 min p.r.a and T2Rest=T2 prior to regadenoson injection, using a regression model. In infarcted animals, affected zones were identified using LGE. BOLD contrast-to-noise ratio between remote and affected zones was defined as CNR= (mean(MBRRemote) - mean(MBRAffected))/(standard deviation of MBRRemote). This was determined for the proposed (CNRCRM) and conventional (CNRcon) methods and compared. MBRs were validated with perfusion reserve (MPR) from PET.

Results

In intact dogs, myocardial T2 dynamics tightly fitted the coronary relaxation model (R=0.92 ±0.06). Parameters estimated from CRM (T2o:44.2±6.7ms; ΔT2max:14.7±5.8ms; τ:35.5±26.8min) were in agreement with previous reports. Both MBRs (MBRCRM=27±16% and MBRcon=12±6%) were consistent with p.r.a PET (MPR=3.0±0.6). MBRCRM and MBRcon were highly correlated (R=0.93; p<0.05) with MBRCRM=2.83 MBRcon – 0.27, indicating that MBRCRM was approximately 2.8-fold greater than the MBRcon. In infarcted dogs, significantly higher MBRs in the remote and lower MBRs in the affected regions were observed with both methods (Remote: MBRCRM=27±6%, MBRcon=15±5%; Affected: MBRCRM=1±10%, MBRcon=5±7%; both p<0.05), and were in agreement with PET (MPRremote=3.7±0.6; MPRaffected=1.9±0.7;). Mean CNR based on CRM were nearly 2-fold larger than the conventional approach (CNRCRM=3.7±0.6; CNRcon=1.9±0.7).

Conclusion

This study showed that repeatedly acquired myocardial BOLD MRI following regadenoson administration can be used to significantly amplify the BOLD sensitivity and improve the reliability of current myocardial BOLD MRI. Further studies are required to determine the capability of the proposed approach for identifying territories of the myocardium subtended by non-flow limiting but clinically significant coronary artery stenosis.

Acknowledgements

No acknowledgement found.

References

No reference found.

Figures

Fig. 1 Coronary Relaxation Modeling Leads to Marked Improvement in BOLD Sensitivity in Intact Dogs: (A) shows a representative coronary relaxation curve and least-squares fitting based on repeated T2 mapping following regadenoson injection; (B) shows the corresponding multi-fold increase in MBR from the CRM compared to conventional MBR estimation; and (C) shows the linear regression between CRM-based and conventional estimates of MBR. Note the slope of the regression curve is significantly larger than 1 highlighting the amplification in BOLD signal response uncovered by the CRM that is likely masked by unreliable signal estimates from conventional estimates.

Fig. 2 Coronary Relaxation Modeling for Increasing the Detection Sensitivity of Perfusion Defect Territories with BOLD CMR: (A)shows a representative LGE image with an anterior wall chronic infarction; (B)shows a significantly reduced perfusion on 13N-NH3 PET p.r.a in the infarct territory; (C)shows the MBR map based on CRM; and (D)shows the MBR estimated using the conventional approach based on BOLD signal responses at baseline and 2 minutes p.r.a. Note the improved delineation of the perfusion defect territory in (C) compared to (D). The red arrows identify a healthy region which is isointense in MBRcon but hyperintense in MBRCRM.

Proc. Intl. Soc. Mag. Reson. Med. 25 (2017)
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