Reproducibility and Variability of a Look-Locker FAIR ASL Sequence for Quantitative Measurement of Myocardial Blood Flow in Healthy Human Volunteers at 3T
Graeme A Keith1, Christopher T Rodgers1, Michael A Chappell2, and Matthew D Robson1

1Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom, 2Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom

Synopsis

A previously presented arterial spin labelling (ASL) method was tested for reproducibility and variability. These measures are important to consider when planning a clinical study. The results presented show that the method has the sensitivity required to detect changes in MBF in pathology and under stress. The variation in individuals is shown to be less than across the sample as a whole. This knowledge will be useful in the planning of future clinical research studies.

Purpose

A previously reported method1 for non-invasive quantitation of myocardial blood flow (MBF), employing FAIR labelling and a Look-Locker readout, was assessed for reproducibility and variability. These measures are important to consider when planning a clinical study as they indicate the change required for measurement above systematic error, and describe the variation due to factors introduced between and within sessions. It is important in measurements of MBF to observe changes in pathology and under stress.

Methods

The LL-FAIR-ASL sequence (Figure 1) employed slice-selective (SS) and globally-selective (GS) HS8 inversion pulses, each followed by 5 bSSFP readouts in mid-diastole on successive heartbeats. There was a gap of 3 heartbeats between the two blocks to allow for some relaxation and the order of the inversion pulses was varied. Six mid-ventricular scans were acquired (3 SS-GS, 3 GS-SS). Sequence parameters are shown in Table 1. Fifteen seconds were allowed between scans to allow for full relaxation. T1 values were calculated for both the SS and GS-IR experiments by a three-parameter fit (Figure 2). The ratio of these T1s was related to MBF by the Belle model2.

Data was collected in 8 healthy volunteers (7 male, 31±7y) on a 3T scanner (Trio, Siemens) with ethics approval. Volunteers were scanned twice, on separate days, to assess between-session reproducibility, and during 11 scans the protocol was repeated to assess within-session reproducibility. These data were used to produce Bland-Altman plots3 to describe the two measures. The myocardium of the entire left ventricle was treated as a single ROI. The variability of the MBF estimates was assessed by the coefficient of variation (SD/mean) for the whole sample (CVall), and each subject between-session (CVBS) and within-session (CVWS).

Results

The MBF was 1.15±0.47 ml/g/min which compares well with literature values, where resting MBF has been reported as 0.97±0.64 ml/g/min with single-TI ASL4, 1.33±0.32 ml/g/min with PET5 and 1.02 ± 0.22 ml/g/min using first-pass CMR6. The values of MBF for each subject are presented in Figure 3. CVall was 40%. The between-session and within-session Bland-Altman plots are shown in Figure 4(a) and (b) respectively and show the mean-difference in each case and the value of ±1.96 times SD which represent the upper and lower 95% confidence bounds. When normalised to the mean MBF, these equate to a coefficient of repeatability (CR) of 38% between-session and 39% within-session. The mean CVBS and CVWS were calculated as 10% and 9% respectively.

Discussion

The LL-FAIR-ASL method is attractive as a non-invasive alternative to SPECT, PET and first-pass CMR. While reproducibility and variability of similar techniques have been investigated in mice7,8, to our knowledge this has not been carried out in human myocardium. Resting MBF values for healthy volunteers have previously been shown to be heterogeneous in studies utilising PET5 and first-pass CMR9. The high observed CVall, 40%, shows that our results reflect this heterogeneous nature. The Bland-Altman plots show the mean difference in both the between-session and within-session cases to be close to zero and all bar one of the data points to lie within the ±1.96 SD bounds. The CRBS of 38% shows the level of reproducibility expected across repeat scans. It indicates the change in MBF required to show a difference over time and is useful to consider if planning longitudinal studies in patient groups. The CRWS of 39% gives a useful indication of the detectable change in MBF, which is significantly less than the 3-4-fold increase expected under vasodilator stress4,6.

The variability compares favourably to similar measures reported for preclinical cardiac ASL7 and brain ASL in humans10. The mean values of CVBS and CVWS were 10% and 9%, below the 40% observed for all subjects. This shows that the variation in results exhibited by an individual is much less than across the population as a whole. The CVBS shows the variation due to the method, plus effects such as repositioning, re-localisation, scanner adjustments etc. The CVWS primarily reflects the methodological effects.

The use of a single ROI to represent the whole myocardium is a limitation of this study. MBF is known to exhibit spatial heterogeneity5,11. Further investigation of the sensitivity of the method to this is required.

Conclusion

The results presented suggest that a future clinical study applying the LL-FAIR-ASL method at rest and stress will have the sensitivity required to detect the expected change in MBF. The variability of the method was shown to compare favourably with published values in similar techniques. These results should prove useful in the planning of future clinical studies using this method.

Acknowledgements

This work was supported by MRC grants. CTR is funded by the Wellcome Trust and the Royal Society [098436/Z/12/Z].

References

1. Keith GA RC, Chappell, MA, Robson MD. A Look-Locker Acquisition Scheme for Quantitative Myocardial Perfusion Imaging by Arterial Spin Labelling in Humans at 3 T. 2015; Toronto. p p 2690.

2. Belle V, Kahler E, Waller C, Rommel E, Voll S, Hiller KH, Bauer WR, Haase A. In vivo quantitative mapping of cardiac perfusion in rats using a noninvasive MR spin-labeling method. J Magn Reson Imaging 1998;8(6):1240-1245.

3. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1(8476):307-310.

4. Zun Z, Varadarajan P, Pai RG, Wong EC, Nayak KS. Arterial spin labeled CMR detects clinically relevant increase in myocardial blood flow with vasodilation. JACC Cardiovasc Imaging 2011;4(12):1253-1261.

5. Chareonthaitawee P, Kaufmann PA, Rimoldi O, Camici PG. Heterogeneity of resting and hyperemic myocardial blood flow in healthy humans. Cardiovasc Res 2001;50(1):151-161.

6. Hsu LY, Rhoads KL, Holly JE, Kellman P, Aletras AH, Arai AE. Quantitative myocardial perfusion analysis with a dual-bolus contrast-enhanced first-pass MRI technique in humans. J Magn Reson Imaging 2006;23(3):315-322.

7. Campbell-Washburn AE, Price AN, Wells JA, Thomas DL, Ordidge RJ, Lythgoe MF. Cardiac arterial spin labeling using segmented ECG-gated Look-Locker FAIR: variability and repeatability in preclinical studies. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine 2013;69(1):238-247.

8. Naresh NK, Chen X, Moran E, Tian Y, French BA, Epstein FH. Repeatability and variability of myocardial perfusion imaging techniques in mice: Comparison of arterial spin labeling and first-pass contrast-enhanced MRI. Magnet Reson Med 2015.

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10. Gevers S, van Osch MJ, Bokkers RP, Kies DA, Teeuwisse WM, Majoie CB, Hendrikse J, Nederveen AJ. Intra- and multicenter reproducibility of pulsed, continuous and pseudo-continuous arterial spin labeling methods for measuring cerebral perfusion. J Cereb Blood Flow Metab 2011;31(8):1706-1715.

11. Zun Z, Wong EC, Nayak KS. Assessment of myocardial blood flow (MBF) in humans using arterial spin labeling (ASL): feasibility and noise analysis. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine 2009;62(4):975-983.

Figures

Figure 1: Schematic of the LL-FAIR-ASL pulse sequence over 13 heartbeats. 180o pulses (alternating between SS and GS) are each followed by 5 bSSFP readouts (shown as grey columns), separated by an R-R interval. All inversion pulses and readouts are ECG-triggered to mid-diastole. The order of IR pulses is varied.

Table 1: LL-FAIR-ASL sequence parameters

Figure 2: Calculated T1 curves for SS and GS cases. Inset images are collected in a single breath hold.

Figure 3: MBF measurements per subject in the mid-ventricular slice. Results in blue are from session 1 and those in red from session 2 for each subject. The black bar is the mean across the sample with the standard deviation.

Figure 4: Bland-Altman plots for (a) between-session and (b) within-session reproducibility. The blue lines represent the mean difference in MBF and the red lines show ± 1.96 times the standard deviation and represent the 95% confidence limits. These are normalised to the mean MBF to calculate the coefficients of reproducibility.



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