Ryan Dolan1, Amir Rahsepar1, Julie Blaisdell1, Allen Anderson2, Kambiz Ghafourian2, Esther Vorovich2, Jonathan Rich2, Jane Wilcox2, Clyde Yancy2, Jeremy Collins1, Michael Markl1, and James Carr1
1Radiology, Northwestern University, Chicago, IL, United States, 2Cardiology, Northwestern University, Chicago, IL, United States
Synopsis
Cardiac MRI is increasingly being used for cardiac
allograft surveillance following transplantation, so it is important to
investigate which recipient and donor characteristics influence several CMR
parameters: global ventricular function, myocardial velocities, dyssynchrony,
T2, native T1, and ECV. Notable associations
with T2 included donor age, normalized recipient-donor age difference, and
recipient weight. Peak diastolic
longitudinal velocity was associated with donor age and cold ischemic time.
Introduction
Cardiac magnetic resonance (CMR) continues to gain acceptance
in allograft surveillance following heart transplantation (Tx) due to its ability
to measure global and regional left (LV) and right (RV) ventricular function
and to quantify changes in regional myocardial tissue structure. CMR techniques include stacked LV volume
measurement to assess global ejection fraction and regional strain using 2D
cine SSFP MRI, tissue phase mapping (TPM) to measure regional myocardial
velocities and dyssynchrony [1,2], T2-mapping to evaluate edema and
inflammation [2-4], and pre- and post-contrast T1-mapping to calculate extracellular
volume fraction (ECV) to assess fibrotic and interstitial changes [5,6]. Because Tx recipients and their donors are
heterogeneous, it is important to examine which factors impact LV global and
regional function, as well as myocardial tissue damage. The goal of this study was to apply
comprehensive structure-function CMR to determine how age, sex, height, weight,
BMI, donor ejection fraction, and cold ischemic time in a large cohort of Tx
recipients influence several CMR parameters: global ventricular function,
myocardial velocities and dyssynchrony, T2, native T1, and ECV.Methods
Cardiac MRI at 1.5T (Magnetom Aera or Avanto, Siemens,
Erlangen, Germany) was performed in 70 Tx recipients prospectively recruited at
a single major tertiary referral center from 2014-2016 (6.4±6.2 years post Tx, 23% within
1 year post Tx). All CMR examinations
included 2D cine SSFP, T2-mapping, native and post-Gd T1-mapping, and TPM. Donor information was obtained from UNOS data
available at the time of Tx (55 of the 70 pts).
Global LV function parameters (EDV, ESV, SV, HR, CO, EF, end diastolic
myocardial mass) were calculated from a short-axis stack of 2D cine SSFP images
covering the entire LV. T2 and native
and post-Gd T1 maps (to generate ECV fraction using hematocrit drawn at the
time of CMR) in short-axis views of the LV at the base, mid, and apex were automatically
reconstructed on the MRI system and further analyzed using dedicated software
(cvi42, version 5.3.6, Circle, Calgary, Canada). TPM consisted of a black-blood cine 2D
phase-contrast sequence that allowed for acquisition of tri-directional encoded
LV velocities in a single breath hold (venc=25 cm/s, temporal resolution=24 ms,
spatial resolution=2.0x2.0 mm², k-t GRAPPA acceleration with R=5). TPM data were acquired in LV basal, mid, and
apical short-axis orientation and used to quantify myocardial peak and time to
peak velocity (TTP) in systole and diastole using an in-house tool (Matlab,
Mathworks, Natick, MA). The standard
deviations of TTP across all 16 LV segments were used to evaluate the extent of
radial and longitudinal dyssynchrony. A
Pearson correlation analysis was performed between continuous recipient and
donor characteristics and CMR parameters, and independent sample T-tests were
performed of the CMR parameters for the categorical characteristics, all using
SPSS (v23, IBM, Armonk, NY).Results
Recipient and donor characteristics are summarized in Table
1, and average CMR parameters in this cohort are reported in Table 2. Amongst the global LV function parameters,
recipient and donor height were positively correlated with SV (r=0.37, p=0.006;
r=0.29, p=0.033), and recipient height was positively correlated with CO (r=0.40,
p=0.004). Donor-recipient age difference
showed a negative correlation with SV (r=-0.41, p=0.010). Larger differences in weight and BMI were
associated with lower EF (r=-0.30, p=0.030; r=-0.34, p=0.014). Correlation analysis results between age,
height, weight, and BMI and T2 and TPM parameters are shown in Table 3. Global and regional T2 were positively
associated with donor age (global r=0.36, p=0.033) and negatively associated
with recipient-donor age difference (global r=-0.52, p=0.001), especially in
lateral and basal regions. There were
many associations between these characteristics and TPM parameters, notably
between increasing diastolic radial and longitudinal TTP and donor weight (r=0.42,
p=0.005; r=0.47, p=0.002). Systolic and
diastolic radial function declined (decreased peak velocities, increased TTP
and dyssynchrony) with increased recipient age at Tx (r=-0.33, p=0.014; r=0.28,
p=0.041; r=0.29, p=0.031) and at the scan (r=-0.37, p=0.005; r=0.32, p=0.016;
r=0.34, p=0.012). Increasing cold
ischemic time was associated with decreased diastolic peak longitudinal
velocities (r=-0.33, p=0.041). There
were no strong associations between these characteristics and T1 or ECV
parameters. T-tests showed decreased
peak systolic longitudinal velocities in patients with recipient-donor sex
discordance (p=0.002).Conclusion
Global LV function, T2, T1, ECV, and TPM parameters are
each influenced by several recipient and donor characteristics. Further study of these factors is needed to
reveal how they affect allograft health, to interpret CMR data accurately, and
to optimize recipient-donor matching.Acknowledgements
Grant support by NHLBI R01 HL117888.References
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