4D flow MRI derived energetic biomarkers are abnormal in repaired tetralogy of Fallot patients and may predict deteriorating hemodynamics
Joshua Daniel Robinson1,2, Cynthia K Rigsby3,4, Michael Rose3, Susanne Schnell4, Alex J Barker4, and Michael Markl4,5

1Pediatric Cardiology, Ann & Robert H Lurie Children's Hospital, Chicago, IL, United States, 2Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 3Medical Imaging, Ann & Robert H Lurie Children's Hospital, Chicago, IL, United States, 4Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 5McCormick School of Engineering, Northwestern University, Evanston, IL, United States

Synopsis

Tetralogy of Fallot (TOF) is the most common form of cyanotic heart disease. As life expectancy continues to increase, MRI plays a central role in evaluation for post-operative complications and reintervention. Current assessment is based on simplified parameters that measure late expression of underlying physiologic changes, with poor outcome prediction. In this study, we explore quantitative 4D flow metrics which may be important measures of hemodynamic efficiency. We found that energetic metrics are abnormal in TOF compared to healthy controls. While these metrics correlated only modestly with routine measurements of ventricular efficiency, they may represent earlier biomarkers of disease progression.

Purpose

Tetralogy of Fallot (TOF) accounts for approximately 10 percent of congenital heart disease. Surgical techniques have improved survival such that TOF patients require follow-up for common post-operative complications, including pulmonary regurgitation (PR) and right ventricular (RV) dilatation, right and/or left ventricular dysfunction, atrial and ventricular arrhythmias and sudden death1. MRI plays a central role in evaluating these abnormalities and determining indications for reintervention, however, risk assessment is based on simplified functional parameters (e.g. ejection fraction, indexed ventricular volumes) which measure late expression of underlying physiologic changes2. In the repaired TOF patient with chronic PR, pulmonary valve replacement may reverse RV dilatation, but risk of arrhythmia and sudden death may not be avoided3. Consequently, early and more sensitive markers of deteriorating hemodynamics are needed. While emerging 4D MRI techniques promise new insights, published findings in TOF are largely descriptive characterizations of abnormal flow patterns4,5 or comparisons to traditional 2D MR flow parameters6. In this study we explore newer quantitative 4D measures that may be alternative markers of hemodynamic efficiency in patients with repaired TOF.

Methods

We compared pediatric patients who were status post TOF repair (n=24) with age-appropriate healthy control subjects (n=22) in accordance with a prospective IRB-approved protocol. All patients underwent standard-of-care MRI with bloodpool contrast administration, as well as ECG and respiratory navigator gated 4D flow MRI. Ventricular volumes and function were measured using standard cine post-processing techniques. All 4D flow MRI data were corrected for velocity aliasing, Maxwell terms and eddy currents7 from which time-averaged 3D PC-MR angiograms were calculated. Commercial software (Mimics, Materialise, Leuven, Belgium) was used to generate 3D segmentations of the thoracic aorta (Ao) and main and proximal branch pulmonary arteries (PA) (Figure 1A). A custom software tool developed in Matlab (The MathWorks, Natick, MA, USA) was used to derive energetic parameters from Ao and PA segmentations. For each voxel inside the Ao and PA segmentation volumes, maximum systolic flow acceleration, maximum diastolic deceleration, and kinetic energy (KE) were calculated. KE for a voxel of blood was calculated using the equation KE = 1/2 mv2, where mass (m) is voxel volume multiplied by density of blood (1.05 g/mL) and velocity (v) determined from 4D flow . For each subject, average KE was calculated over 3 phases (systole, early diastole and late diastole) in order to compare changes across the cardiac cycle. Ao and PA KE maps were generated for each phase by projecting mean KE on a 2D plane transecting the Ao and PA, respectively (Figure 1B). Total KEAo and KEPA were calculated as the sum over all voxels inside the Ao and PA segmentations and indexed to body surface area (BSA).

Results

Age and gender distribution were similar between TOF patients and controls, though TOF had smaller BSA, significant PR, increased ventricular size and diminished ventricular function, as expected. There were also significant differences in several calculated 4D energetic parameters (Table 1). Systolic KEAo was higher in controls while systolic KEPA was increased in TOF. Patients with TOF had higher KEPA throughout early and late diastole, a finding that remained true even when corrected for BSA. Figure 2 compares distribution of KEPA across the cardiac cycle in a control subject and two TOF patients. Greater KEPA is expended during systole in both TOF patients compared to the control, while KEPA during late diastole is increased only in the patient with severe PR and RV dilatation. Interestingly, in a subgroup analysis comparing TOF patients with severe PR (>25% regurgitation fraction, 73% of whom underwent transannular patch repair) and those without severe PR (<25%, 75% of whom underwent valve sparing repair), we found that both absolute and indexed KEPA during late diastole was significantly higher in the severe PR cohort (4.3±3.0 vs 1.3±2.8 mJ, p=0.02; 3.3±1.9 vs 1.0±1.9 mJ/m2, p<0.01). In fact, KEPA significantly correlated with RV end-diastolic volume (Figure 3). Additionally, maximum systolic acceleration in the PA correlated with RV ejection fraction (R=0.31).

Discussion/Conclusions

Conventional MRI assessment of patients with repaired TOF relies heavily on morphologic and simplified functional parameters. 4D flow offers whole heart, post-hoc derivation of additional quantitative metrics to assess disease progression in patients with chronic PR. Energetic measures such as KE and maximum systolic acceleration are abnormal in TOF compared to healthy controls. While these measures correlate modestly with routine measurements of ventricular efficiency, they may be earlier markers of disease progression. Additional comparison with ventricular KE may yield further insights into important ventricular-vascular coupling relationships, energy loss and deteriorating hemodynamics. Comparison to exercise capacity and clinical outcomes in a larger cohort is warranted.

Acknowledgements

Grant support from NIH R01HL115828

References

1. Geva T. Indications and timing of pulmonary valve replacement after tetralogy of Fallot repair. Seminars in thoracic and cardiovascular surgery. 2006:11-22. doi: 10.1053/j.pcsu.2006.02.009. PubMed PMID: 16638542.

2. Knauth AL, Gauvreau K, Powell AJ, Landzberg MJ, Walsh EP, Lock JE, del Nido PJ, Geva T. Ventricular size and function assessed by cardiac MRI predict major adverse clinical outcomes late after tetralogy of Fallot repair. Heart. 2008;94(2):211-6. Epub 2006/12/01. doi: 10.1136/hrt.2006.104745. PubMed PMID: 17135219.

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4. Geiger J, Markl M, Jung B, Grohmann J, Stiller B, Langer M, Arnold R. 4D-MR flow analysis in patients after repair for tetralogy of Fallot. European radiology. 2011;21(8):1651-7. Epub 2011/07/02. doi: 10.1007/s00330-011-2108-4. PubMed PMID: 21720942.

5. Francois CJ, Srinivasan S, Schiebler ML, Reeder SB, Niespodzany E, Landgraf BR, Wieben O, Frydrychowicz A. 4D cardiovascular magnetic resonance velocity mapping of alterations of right heart flow patterns and main pulmonary artery hemodynamics in tetralogy of Fallot. J Cardiovasc Magn Reson. 2012;14:16. Epub 2012/02/09. doi: 10.1186/1532-429x-14-16. PubMed PMID: 22313680; PMCID: Pmc3305663.

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Figures

Figure 1: 4D flow MRI data analysis. A: 3D segmentation of the aorta (Ao) and pulmonary artery (PA) based on the 3D-PC-MRA data and masking of velocities inside the segmented vessels. B: Calculation of Ao and PA kinetic energy (KE) during systole, early diastole and late diastole. The total KE for all three cardiac phases are listed below each map.

Table 1: Patient & control characteristics, standard MRI measurements and 4D MRI derived energetic calculations. Abbreviations: Ao = aorta, KE = kinetic energy, LV= left ventricle, PA = pulmonary artery, PR = pulmonary regurgitation, RVEDV = right ventricular end-diastolic volume, RVESV = right ventricular end-systolic volume

Figure 2: Maps of kinetic energy superimposed on the underlying anatomic 4D flow MRI data. The individual images show KE maps during systole, early diastole, and late diastole in three subjects (A: control, B,C: TOF patients). Color coding illustrates regions in the PA with high (red) and low (blue) KE. Abbreviations: PA = pulmonary artery, RPA/LPA = right/left artery.

Figure 3: Pulmonary artery kinetic energy during late diastole correlates with right ventricular size. Abbreviations: BSA = body surface area, KEPA = pulmonary artery kinetic energy, RVEDV = right ventricular end-diastolic volume



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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