- Open Access
Two repetition time saturation transfer (TwiST) with spill-over correction to measure creatine kinase reaction rates in human hearts
Journal of Cardiovascular Magnetic Resonance volume 17, Article number: 70 (2015)
Phosphorus saturation transfer (ST) magnetic resonance spectroscopy can measure the rate of ATP generated from phosphocreatine (PCr) via creatine kinase (CK) in the human heart. Recently, the triple-repetition time ST (TRiST) method was introduced to measure the CK pseudo-first-order rate constant kf in three acquisitions. In TRiST, the longitudinal relaxation time of PCr while γ-ATP is saturated, T1`, is measured for each subject, but suffers from low SNR because the PCr signal is reduced due to exchange with saturated γ-ATP, and the short repetition time of one of the acquisitions. Here, a two-repetition time ST (TwiST) method is presented. In TwiST, the acquisition with γ-ATP saturation and short repetition time is dropped. Instead of measuring T1`, an intrinsic relaxation time T1 for PCr, T1 intrinsic, is assumed. The objective was to validate TwiST measurements of CK kinetics in healthy subjects and patients with heart failure (HF).
Bloch equation simulations that included the effect of spillover irradiation on PCr were used to derive formulae for T1 intrinsic and kf measured by both TRiST and TwiST methods. Spillover was quantified from an unsaturated PCr measurement used in the current protocol for determining PCr and ATP concentrations. Cardiac TRiST and TwiST data were acquired at 3 T from 12 healthy and 17 HF patients.
Simulations showed that both kf measured by TwiST and T1 intrinsic require spill-over corrections. In human heart at 3 T, the spill-over corrected T1 intrinsic = 8.4 ± 1.4 s (mean ± SD) independent of study group. TwiST and TRiST kf measurements were the same, but TwiST was 9 min faster. Spill-over corrected TwiST kf was 0.33 ± 0.08 s−1 vs. 0.20 ± 0.06 s−1 in healthy vs HF hearts, respectively (p < 0.0001).
TwiST was validated against TRiST in the human heart at 3 T, generating the same results 9 min faster. TwiST detected significant reductions in CK kf in HF compared to healthy subjects, consistent with prior 1.5 T studies using different methodology.
Phosphorus (31P) saturation transfer (ST) magnetic resonance spectroscopy (MRS) enables the in vivo study of adenosine triphosphate (ATP) kinetics including those through the creatine kinase (CK) reaction [1, 2]. In muscle, the CK reaction serves as the prime energy reserve and a putative shuttle, transporting high-energy phosphates between the mitochondria, where ATP is created, and the myofibrils, where it is used. The pseudo-first-order rate constant (kf) for CK indexes the fractional rate of ATP generation from phosphocreatine (PCr). 31P ST MRS using the Four Angle Saturation Transfer (FAST; ) protocol at 1.5 T enabled human cardiac CK kinetic studies for the first time and identified significant reductions in cardiac kf in patients with heart failure (HF). These findings and others indicated that reduced CK energy supply occurs in human HF, may play a role in the associated contractile dysfunction [4, 5], and is an independent predictor of subsequent clinical HF events .
In a ST experiment, the pseudo-first-order rate constant can be determined with:
where T1` and M0` are the longitudinal relaxation time and the equilibrium magnetization of PCr measured while the exchanging γ-ATP resonance at −2.5 ppm is selectively saturated (signified by primes); and M0 is the equilibrium magnetization of PCr measured without γ-ATP saturation. Recently, the Triple Repetition time ST (TRiST) protocol was introduced to more efficiently measure kf in the human heart at 3 T . TRiST only requires three acquisitions to determine kf. Each of the three acquisitions takes between 8 and 22 min as they employ chemical shift imaging (CSI) for localization and multiple averages for sufficient signal-to-noise ratio (SNR). Using TRiST, T1` and M0` are measured by the dual-repetition time (TR) method  with a short TR (M`(TRshort); TRshort = 2 heart beats, cardiac-gated) and a long TR (M`(TRlong); TRlong ~10 s, cardiac-gated) both while the exchanging γ-ATP resonance is saturated. A third cardiac-gated acquisition at a TR of ~ 16 s is performed to measure M0. To compensate for the effects of spill-over irradiation on PCr during γ-ATP saturation, this third acquisition is performed while applying saturation at +2.5 ppm–termed “control saturation”, yielding M0 control. Equation  is then written as:
Spill-over irradiation is caused by imperfect frequency-selective saturation of γ-ATP that can partially saturate the nearby PCr resonance. A measure of the spill-over effect is provided by the ratio
of the PCr signal acquired with control saturation, to the PCr signal acquired without any saturation [3, 9]. The control saturation experiment does not fully compensate for the effect of spill-over on the observed kf, and several methods have been presented to correct for the residual errors [9, 10]. Nevertheless, the rate constant measured with TRiST appears relatively robust to varying levels of spill-over, as evidenced, for example, by essentially constant leg kf measurements at 3 T over regions wherein Q varied from 0.5 to 0.9 .
The goal of the present work is to introduce and validate an even more efficient two-repetition time ST (TwiST) method for measuring kf. TwiST is based on prior knowledge of the so-called “intrinsic T1” of PCr (T1 intrinsic) which is independent of the chemical exchange processes implicit in Eqs  and . The intrinsic T1 was introduced long ago as the hypothetical T1 that would occur if there were no chemical exchange, and is given by [1, 11]:
If T1 intrinsic is known and is similar among groups studied, then kf is determinable from just two fully-relaxed measurements of M0 and M0` [11, 12]. These two measurements comprise the TwiST experiment. In this case, kf is given by :
The pre-requisite for performing TwiST is prior knowledge of T1 intrinsic. Here, T1 intrinsic is determined from equation  and based on experimental data acquired from the hearts of healthy subjects and patients with HF. The effects of variations in the spill-over ratio, Q, on measurements of T1 intrinsic, kf TRiST, and kf TwiST are evaluated by Bloch equation analysis. Spill-over correction for T1 intrinsic, kf TRiST, and kf TwiST is derived analogous to the method described in . If needed, this correction uses an unsaturated acquisition that is routinely recorded for determining PCr and ATP concentrations, and for measuring CK flux, (kf x [PCr]), in standard patient protocols [4–6, 14–18].
Monte Carlo simulations without spill-over effects
Analogous to , Monte Carlo simulations were performed using Python 2.7 software (www.python.org) to determine the effect of low 31P SNR on kf TwiST for 0.1 ≤ kf ≤ 0.4 s−1 [4, 5], and 5 ≤ T1 intrinsic ≤ 9 s. These ranges were based on measured values for human heart, including an observed T1 of PCr, T1,PCr, of 5.8 s  which sets a lower limit to T1 intrinsic because chemical exchange with ATP reduces T1,PCr . Gaussian noise with a standard deviation (SD) of σ = 0.16 M0 per acquisition was added 2000 times to the two TWiST acquisitions, M`(TRlong) and M0 control(TRcontrol). kf TwiST was calculated from Eq. . For estimating error, the SD of kf TwiST was calculated from the 2000 runs, and then averaged for the different kf and T1 intrinsic. Fifty-nine different combinations of averages and cardiac-gated TRs that resulted in a fixed total scan time of ~30 min for the two acquisitions were evaluated. For each TR combination, the number of averages leading to the lowest error was selected. Bias was determined for each sequence combination with a mid-range T1 intrinsic = 7 s only.
Bloch equation calculation of spill-over effects
In the prior TRiST protocol , a surface coil was used for RF transmission, producing an inhomogeneous excitation field with high intensity close to the coil and a gradual decline moving away from it. An adiabatic excitation pulse was used to generate a homogeneous flip-angle (FA) over the region of interest, and a modulated DANTE pulse train was used for saturating the exchanging γ-ATP moiety. The DANTE pulses are subject to inhomogeneity in the transmit field, and were set to provide sufficient saturation at the depth of the heart. This causes spill-over saturation of PCr closer to the coil, which is quantified by the variable Q in Eq. 3. Its effects on the measured T1 intrinsic, kf TRiST and kf TwiST are determined here by numerical analysis of the Bloch–McConnell equations modified for two-site chemical exchange in matrix form [3, 20] implemented on a graphical programming interface (GPI) .
The PCr signals, M0(TR = 16 s), without any saturation; M0 control(TR = 16 s) with control saturation at +130 Hz; and M`PCr(TR = 10 s) and M`PCr(TR = 1.7 s) with γ-ATP saturated at −130 Hz, were all determined for the TRiST and TwiST experiments. The saturation of γ-ATP by the amplitude-modulated DANTE scheme described in Eq. 5 of  was simulated with parameters used in human studies (m = 5 suppression bands; δ = 9 Hz separation between bands; β = 0.9° FA per band as expected 10 cm from the coil ; τ = 0.91 ms between hard sub-pulses of 100-μs duration).
To simulate a range of spill-over strengths, β was varied from 0.1° to 6.0°. Other parameters were: T1 intrinsic = 7900 ms; T1,ATP intrinsic = 2200 ms for the T1 intrinsic of ATP; with corresponding spin-spin relaxation times (T2), T2,PCr = 250 ms and T2,ATP = 50 ms chosen somewhat shorter than values measured in calf muscle . To simulate the effect of static magnetic field inhomogeneity, the calculations were performed 9 times with the saturation frequency offset by −20 to +20 Hz in steps of 5 Hz. Results from the 9 runs were weighted with a 20 Hz full-width-half-maximum Gaussian function and averaged. Based on the four calculated M0 and M` PCr signals, simulated values of T1 intrinsic, kf TRiST, and kf TwiST were determined from equations , , and , respectively. Two different “true” kfs of 0.21 s−1 and 0.32 s−1 were assumed, reflecting previous rates measured at 1.5 T for HF patients and healthy subjects, respectively .
Spill-over corrections for intrinsic T1, TRiST and TwiST
Spill-over corrected T1 intrinsic, TRiST and TwiST formulae were determined using the approach of Gabr et al. . The Bloch–McConnell equations  were numerically solved for the range of parameters listed in Table 1, with the range of saturation power limited to Q ≤ 0.96 to ensure sufficient saturation of γ-ATP (see Discussion). A minimum sum-of-the-squared fractional differences algorithm was applied to fit the calculated data to linear spill-over corrected formulae with an affine dependence on the measured parameters. The corrected intrinsic T1, T1 Q-intrinsic, had the form:
The Q-corrected TRiST, kf Q-TRiST was:
And the Q-corrected TwiST, kf Q-TwiST was formulated as:
where a-n are fitting coefficients.
These new spill-over corrected formulae were applied to the simulated PCr signals generated from the previous section.
Human studies were approved by the Institutional Review Board of the Johns Hopkins University School of Medicine, with all participants providing written informed consent. TRiST data, that included TwiST data as a subset, were acquired on a 3 T broadband Achieva scanner (Philips Healthcare, Best, the Netherlands) from twelve healthy subjects (7 men, 5 women, mean age of 36 ± 15 years) with no history of hypertension, diabetes, or heart disease; and in seventeen HF patients (8 men, 9 women, mean age of 48 ± 15 years) with a clinical history of HF (New York Heart Association class I (2), class II (8), and class III (7)), a left ventricular ejection fraction <40 %, and no significant coronary disease.
Both TwiST and reference TRiST data were acquired from a single TRiST protocol described in . Guided by scout MRI, participants were oriented prone with the heart centered above a custom built 31P coil set with dual loop 17/11-cm diameter transmit and 8-cm receive coils  that had a fiducial marker at its center (Fig. 1). Localized 2nd-order shimming was performed based on acquired field mapping . Axial balanced steady-state free precession cine images were acquired during free breathing to determine the trigger delay for MRS acquisition at end-systole, which was chosen to minimize motion and maximize the amount of cardiac tissue close to the coil. Cardiac-triggered, 1D CSI data were acquired with sixteen phase encodes from a 16-cm field-of-view using frequency-sweep-cycled adiabatic half-passage  excitation. A first data set was acquired without saturation at TR ≥ 16 s and 2 averages to measure M0. This data set was used to center the saturation frequency on the cardiac γ-ATP resonance and to determine the spill-over ratio Q; it can also be used to determine metabolite concentrations (not reported here). Next, three TRiST data sets were acquired: the first, M0 control, with control saturation applied (TRcontrol ≥ 16 s; 2 averages); the second, M`(TRlong), with γ-ATP saturated (TRlong ≥ 10 s; 8 averages); and the third, M`(TRshort) also with γ-ATP saturated (TRshort = 2 heart beats; 18 averages). The third acquisition was not used in the TwiST analysis. The average TR of each triggered acquisition was determined from the scanner’s physiological log.
Spectra from the anterior myocardium were analyzed as described in . A semi-automatic tool (IDL 6.3, Exelis Visual Information Solutions, Boulder, Colorado) was used to measure PCr signals from peak heights after subtracting the baseline (Fig. 2). Peak height instead of area is used because signal ratios are determined from acquisitions with identical shim settings. User interactions were limited to the selection of cardiac slices (including quarter or half slice Fourier shift) and zero order phasing. Identical phasing is used for all four acquisitions. The baseline is determined automatically by averaging values around the minimum points of the peak of interest. T1` and M0` were determined from M`(TRshort) and M`(TRlong) using the dual-TR method . To perform spill-over corrections, Q was determined for all cardiac spectra using Eq. . Q values larger than one (due to SNR fluctuations) were set equal to 1.0.
T1 intrinsic and spill-over corrected T1 Q-intrinsic were calculated for each cardiac slice using Eq.  and , respectively, and averaged for each participant. The mean and SD of T1 intrinsic and T1 Q-intrinsic were determined for the healthy and the HF groups, and the two groups compared using an unpaired Student’s t-test. Uncorrected and Q-corrected intrinsic T1 values were compared with a paired Student’s t-test.
kf TRiST and kf TwiST were determined for all cardiac slices using Eq.  and , respectively. For kf TwiST, T1 intrinsic = 7.9 s was used. Spill-over corrected kf Q-TRiST and kf Q-TwiST were determined using Eq.  and . All cardiac values were averaged for each participant. TRiST and TwiST kf values were compared with and without Q-corrections using paired Student’s t-testing, linear regression, and Bland-Altman analysis. The mean and SD of Q-corrected kf Q-TwiST were determined for the healthy and HF groups, and the two cohorts compared by unpaired Student’s t-testing. A p < 0.05 was considered significant for all statistical testing.
Figure 3 shows the results of the Monte Carlo simulations without spill-over effects. Figure 3a and b can be compared directly to that of TRiST in Fig. 3 of . The average SD (Fig. 3a) of TwiST is lower and varies less for different TRs than the TRiST result . The expected noise-induced SD at the TRs used in the present study is 8.3 % compared to 13.4 % for TRiST . Unlike TRiST, the bias error in TwiST (Fig. 3b) depends strongly on TRlong. For TRlong < 8 s the negative bias error grows rapidly. The currently applied TRlong of 10 s is in the flat part of the graph and therefore a reasonable choice. In this regime, the bias error increases slightly when decreasing TRcontrol, and TRcontrol =16 s remains a reasonable choice.
The effects of spill-over as determined by the Bloch equation simulations are shown in Fig. 4. The T1 intrinsic (Fig. 4a and b, blue lines) determined in the presence of spillover underestimates the true value in proportion to the amount of spillover, as indexed by declining Q. The underestimation of T1 intrinsic is independent of kf at 0.21 s−1 (Fig. 4a) vs. 0.32 s−1 (Fig. 4b). Figure 4c and d show the deviation in kf TRiST (blue lines) from the true values (black, dashed lines) vs. Q for the TRiST method. The error stays within about 10 % for Q > 0.6 but increases with higher spill-over (Q < 0.6). For the TwiST method, kf TwiST varies more strongly with Q (blue lines in Fig. 4e and f). At high levels of spill-over (Q ~ 0.4), kf TwiST is underestimated by ~50 %, and a spill-over correction is required over most of the range.
The coefficients of the spill-over corrected formulas for T1 Q-intrinsic (Eq. ), kf Q-TRiST (Eq. ) and kf Q-TwiST (Eq. ) are listed in Table 2. The calculated relative errors of T1 intrinsic, kf TRiST and kf TwiST over the simulated range of parameters (Table 1) before and after spill-over correction are shown in Table 3. Spill-over correction removes the bias error and moderately reduces the error range, which includes the effect of a varying T1 intrinsic in accordance with Eq. 5. The relative error of kf Q-TwiST for the same parameter range is plotted in Fig. 5 versus the T1 intrinsic used in the simulations. As expected, the bias error for T1 intrinsic outside of 8–8.5 s is proportional to the actual T1 intrinsic. Applied to the simulations shown in Fig. 4, the spill-over correction (red lines) improves the determined intrinsic T1, (Fig. 4a and b) and TwiST kf (Fig. 4e and f) for a wide range of Q, and TRiST kf for Q < 0.6 (Fig. 4c and d).
The total acquisition time including repositioning and scout MRI at the beginning of each study to optimally position the coil for cardiac TRiST was 84 ± 10 min (mean ± SD) for all participants. This included the 9 min to acquire the unsaturated M0 data set with no saturation used for the Q corrections and metabolite quantification. The duration of the three TRiST acquisitions was 40 ± 1 min. Omitting the M`(TRshort) acquisition, which is no longer needed for TwiST, reduces the effective acquisition time by 9 ± 1 min, for a 23 % efficiency improvement for TwiST.
Cardiac PCr T1 intrinsic are shown in Fig. 6, both with and without Q-correction. T1 intrinsic with and without Q-correction does not differ significantly between patients and healthy controls. However, spill-over correction significantly increases the intrinsic T1. With Q-correction, T1 Q-intrinsic = 8.2 ± 1.3 s in healthy subjects vs. 8.5 ± 1.5 s in HF (p = 0.6). The average spill-over corrected T1 Q-intrinsic in all participants is 8.4 ± 1.4 s. The Q values were the same in both groups at 0.84 ± 0.13 in healthy subjects and 0.85 ± 0.11 in HF (p = 0.8).
TwiST kf measurements are compared to the previously validated TRiST kf in Fig. 7. Linear regression (Fig. 7a and b) reveals a significant correlation between kf TRiST and kf TwiST calculated both without (R2 = 0.53) and with (R2 = 0.73) Q-corrections (p < 0.0001 for both). Corresponding Bland-Altman plots in Fig 7c and d show that the Q-correction reduces scatter.
Figure 8 presents box plots for kf determined with spill-over Q-corrected TRiST and TwiST methods for healthy and HF patients measured at 3 T. Kf Q-TwiST are the same as kf Q-TRiST values for both healthy subjects (p = 0.2) and HF patients (p = 0.8). The TwiST CK rate constant in HF patients was 0.20 ± 0.06 s−1 (mean ± SD), significantly lower than that in the healthy group at 0.33 ± 0.08 s−1 (p = 0.00001). Results of the previously published TRiST analysis without Q-correction are compared to the ones with Q-correction in an additional figure [see Additional file 1].
We present a new, faster method called TwiST for measuring the forward CK rate-constant in human heart. The method is validated by Bloch equation analysis and by comparison with the previously validated TRiST method in 31P MRS studies of healthy and failing human hearts performed at 3 T. The TwiST method is faster than the TRiST method, requiring one less acquisition and saving 9 min from the present protocol, or a 23 % efficiency improvement vs. the three TRiST acquisitions. The number of acquisitions required for measuring CK reaction rates has thus now been reduced from four  or three  to two, resulting in proportionate improvements in efficiency for the ST portion of the protocol. Although the timesaving is not large relative to the entire protocol, it does shorten a long exam, making it more tolerable for patients with cardiovascular disease without introducing significant error.
This study also presented the first 3 T measurements of cardiac CK kinetics in patients with heart failure. The results show significant reductions in cardiac CK reaction-rates that are in quantitative agreement (both mean values and errors) with prior measurements obtained at 1.5 T, where kf was 0.21 ± 0.07 s−1 in HF patients compared to 0.32 ± 0.07 s−1 in healthy subjects . The new measurements obtained by both TRiST and TwiST methods and at a different field strength of 3 T, provide further independent evidence that CK energy supply is reduced in the failing human heart. A paired comparison of data acquired by the different methods at 1.5 T and 3 T from the same subjects was not performed here, as the original 1.5 T scanner is no longer available. Such studies could help elucidate whether the residual scatter has biologic or instrumental origins.
The Monte Carlo simulations show that the expected scatter for a given SNR decreases to 8.3 % in TwiST measurements compared to 13.4 % with TRiST. This is because in TwiST a T1 intrinsic, or a range of T1 intrinsic for the Q-corrected TwiST, is assumed instead of measuring T1`. In TRiST, T1` is determined from two measurements: M`(TRlong) and M`(TRshort). Compared to TRiST, TwiST does not measure M`(TRshort). M`(TRshort) is the acquisition with the lowest PCr signal in TRiST because of the short TR and its chemical exchange with the saturated γ-ATP. The combination of low signal for M`(TRshort) and the inherently low SNR in clinical cardiac 31P MRS settings, makes the determination of T1` critical to the accuracy of TRiST kf determinations.
Bloch equation simulations showed that T1 intrinsic measured with the TRiST sequence underestimates the true value to an extent that depends strongly on the spill-over ratio Q. This can confound its determination. For example, assuming an input T1 intrinsic of 7.9 s, the simulations predict apparent T1 intrinsic values of 4 to 7 s as Q varies from 0.5 to 1 (Fig. 4a and b). In the present study, the measured T1 intrinsic varied from 3.4 to 10.7 s. We therefore assumed a range in the actual intrinsic T1 from 6.5 to 9.5 s for computing the Q-corrected T1 intrinsic and TRiST/TwiST kf formulae. For the Monte Carlo simulations without spill-over corrections, T1 intrinsic = 7 s was chosen to be consistent with simulations performed in , and to enable a comparison of the findings. In the present study, there were no significant differences in T1 intrinsic between healthy subjects and HF patients, whether calculated with or without Q-corrections (Fig. 6). This suggests that the same T1 intrinsic can be assumed for TwiST studies of kf in HF patients and healthy subjects. The overall average value pooling the HF patients and healthy subjects was 8.4 ± 1.4 s. That T1 intrinsic is the same, is also consistent with the notion that T1 intrinsic for PCr is a measure of T1 independent of any exchange effects or differences therein in healthy and HF populations.
The proposed formula for spill-over corrected TwiST, Eq. , does not explicitly include T1 intrinsic. Nevertheless, the coefficients in Table 2 depend on the range of T1 intrinsic assumed for their determination. For Q = 1, Eq. 8 can be transformed into an equation similar to Eq. 5,
with an equivalent T1 intrinsic of 8.13 s very close to the value measured in this study. Hence, T1 intrinsic is absorbed into coefficients l and n of Eq. 8. The effect of varying T1 intrinsic on kf Q-TwiST can be determined from Fig. 5. Apart from this, the coefficients in Table 2 for the spill-over corrected formulae for T1 Q-intrinsic, kf Q-TRiST and kf Q-TwiST are only applicable for data acquired with the sequence parameters used in the present study to measure cardiac CK exchange rates at 3 T with the expected parameter range as given in Table 1. Deviations would in general require determination of a new set of coefficients based on adapted simulations.
The Bloch equation simulation results in Fig. 4 suggest that for Q > 0.95 spill-over effects lead to a dip of T1 intrinsic and both the TRiST and TwiST kf measurements. Q values larger than 0.95 only occur for very low saturation power and the dip in T1 intrinsic and TRiST/TwiST kf for Q values larger than 0.95 is caused by incomplete γ-ATP saturation. In practice, Q values larger than 0.95 can occur because of low saturation power (leading to both reduced spill-over saturation of PCr and incomplete γ-ATP resonance saturation) or because of noise in the acquired spectra. The former can be assessed in the spectra by noting any residual γ-ATP resonance. We attributed Q > 1 to noise and rounded Q to 1 in the Q-corrected formulae. Based on Eq. , the error in Q is the root of the sum of the squared errors in M 0 and M 0 control. In the determination of the Q-corrected formulae the range of saturation power was limited to keep Q below 0.96 to ensure that the dip was not included in the fitting coefficients.
Recently, Bashir et al. presented a time-dependent ST approach to measure CK kf values in the human heart at 3 Tesla . Their reported kf = 0.32 ± 0.05 s−1 agrees well with kf values of the present work, whereas their PCr T1 intrinsic = 7.36 ± 1.79 s is somewhat smaller than the Q-corrected T1 Q-intrinsic = 8.4 ± 1.4 s presented here. Xiong et al. published a very fast ST method applied to in vivo swine hearts at ultra-high field strength (4.7 T - 9.4 T) [25, 26]. Their fastest 1D CSI localized T1 nom method acquires the ST protocols in less than 14 min. This compares to ~40 min for our Q-corrected TwiST protocol that includes a third acquisition for measuring metabolite concentrations and Q. The T1 nom method has yet to be translated to human heart studies or combined with concentration measurements. Also it is not compensated for spillover which may be more problematic at lower fields where chemical shift dispersions are proportionately smaller.
Test re-test reproducibility of these methods remains to be studied in the future. The transmit/receive coil and pulse sequences used in this study have been specially designed and built by our research team for cardiac 31P MRS.
In conclusion, the spill-over Q-corrected TwiST method can be used to measure the CK pseudo-first-order rate-constant kf in the human heart at 3 Tesla with one fewer acquisition compared to the previously presented TRiST method. Instead, a range of PCr T1 intrinsic is assumed. It is shown that T1 intrinsic is the same in healthy subjects and in heart failure patients. The values of kf measured with Q-corrected TwiST closely agree with earlier measurements at 1.5 Tesla, and demonstrate a significant reduction in failing, compared to healthy hearts.
- 1D CSI:
One-dimensional chemical shift imaging
Delays alternating with nutations for tailored excitation
Spill over ratio, see equation 3
Triple Repetition time Saturation Transfer
Two Repetition time Saturation Transfer
Forsén S, Hoffman RA. Study of moderately rapid chemical exchange reactions by means of nuclear magnetic double resonance. J Chem Phys. 1963;39:2892.
Brown TR, Gadian DG, Garlick PB, Radda GK, Seeley PJ, Styles P. Creatine kinase activities in skeletal and cardiac muscle measured by saturation transfer NMR. Front Biol Energ. 1978;2:1341–9.
Bottomley PA, Ouwerkerk R, Lee RF, Weiss RG. Four-angle saturation transfer (FAST) method for measuring creatine kinase reaction rates in vivo. Magn Reson Med. 2002;47:850–63.
Weiss RG, Gerstenblith G, Bottomley PA. ATP flux through creatine kinase in the normal, stressed, and failing human heart. Proc Natl Acad Sci U S A. 2005;102:808–13.
Smith CS, Bottomley PA, Schulman SP, Gerstenblith G, Weiss RG. Altered Creatine Kinase Adenosine Triphosphate Kinetics in Failing Hypertrophied Human Myocardium. Circulation. 2006;114:1151–8.
Bottomley PA, Panjrath GS, Lai S, Hirsch GA, Wu K, Najjar SS, et al. Metabolic Rates of ATP Transfer Through Creatine Kinase (CK Flux) Predict Clinical Heart Failure Events and Death. Sci Transl Med. 2013;5:215re3–3.
Schär M, El-Sharkawy A-MM, Weiss RG, Bottomley PA. Triple repetition time saturation transfer (TRiST) 31P spectroscopy for measuring human creatine kinase reaction kinetics. Magn Reson Med. 2010;63:1493–501.
El-Sharkawy A-M, Schär M, Ouwerkerk R, Weiss RG, Bottomley PA. Quantitative cardiac 31 P spectroscopy at 3 Tesla using adiabatic pulses. Magn Reson Med. 2009;61:785–95.
Gabr RE, Weiss RG, Bottomley PA. Correcting reaction rates measured by saturation-transfer magnetic resonance spectroscopy. J Magn Reson. 2008;191:248–58.
Kingsley PB, Monahan WG. Corrections for off-resonance effects and incomplete saturation in conventional (two-site) saturation-transfer kinetic measurements. Magn Reson Med. 2000;43:810–9.
Rees D, Smith MB, Harley J, Radda GK. In vivo functioning of creatine phosphokinase in human forearm muscle, studied by 31P NMR saturation transfer. Magn Reson Med. 1989;9:39–52.
Friedrich J, Nascimben L, Liao R, Ingwall JS. Phosphocreatine T1 measurements with and without exchange in the heart. Magn Reson Med. 1993;30:45–50.
Schär M, El-Sharkawy A-MM, Bottomley PA, Weiss RG. Reduced myocardial creatine kinase reaction rates in human heart failure: first measurements at 3T. In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2010. Stockholm, Sweden. 2010. p. 166.
El-Sharkawy A-MM, Gabr RE, Schär M, Weiss RG, Bottomley PA. Quantification of human high-energy phosphate metabolite concentrations at 3 T with partial volume and sensitivity corrections. NMR Biomed. 2013;26:1363–71.
Yabe T, Mitsunami K, Inubushi T, Kinoshita M. Quantitative measurements of cardiac phosphorus metabolites in coronary artery disease by 31P magnetic resonance spectroscopy. Circulation. 1995;92:15–23.
Bottomley PA, Wu KC, Gerstenblith G, Schulman SP, Steinberg A, Weiss RG. Reduced myocardial creatine kinase flux in human myocardial infarction: an in vivo phosphorus magnetic resonance spectroscopy study. Circulation. 2009;119:1918–24.
Beer M, Seyfarth T, Sandstede J, Landschütz W, Lipke C, Köstler H, et al. Absolute concentrations of high-energy phosphate metabolites in normal, hypertrophied, and failing human myocardium measured noninvasively with (31)P-SLOOP magnetic resonance spectroscopy. J Am Coll Cardiol. 2002;40:1267–74.
Machann W, Breunig F, Weidemann F, Sandstede J, Hahn D, Köstler H, et al. Cardiac energy metabolism is disturbed in Fabry disease and improves with enzyme replacement therapy using recombinant human galactosidase A. Eur J Heart Fail. 2011;13:278–83.
Spencer RG, Ferretti JA, Weiss GH. NMR saturation factors in the presence of chemical exchange. J Magn Reson. 1989;84:223–35.
McConnell HM. Reaction rates by nuclear magnetic resonance. J Chem Phys. 1958;28:430.
Zwart NR, Pipe JG. Graphical programming interface: A development environment for MRI methods: Graphical Programming Interface. Magn. Reson. Med. 2014:n/a–n/a. 10.1002/mrm.25528.
Meyerspeer M, Krssak M, Moser E. Relaxation times of31P-metabolites in human calf muscle at 3 T. Magn Reson Med. 2003;49:620–5.
Schär M, Kozerke S, Fischer SE, Boesiger P. Cardiac SSFP imaging at 3 Tesla. Magn Reson Med. 2004;51:799–806.
Bashir A, Gropler R. Reproducibility of creatine kinase reaction kinetics in human heart: a 31 P time-dependent saturation transfer spectroscopy study. NMR Biomed. 2014;27:663–71.
Xiong Q, Li Q, Mansoor A, Jameel MN, Du F, Chen W, et al. Novel strategy for measuring creatine kinase reaction rate in the in vivo heart. AJP Heart Circ Physiol. 2009;297:H1010–9.
Xiong Q, Du F, Zhu X, Zhang P, Suntharalingam P, Ippolito J, et al. ATP production rate via Creatine Kinase or ATP synthase in vivo: a novel superfast magnetization saturation transfer method. Circ Res. 2011;108:653–63.
NIH: R01 HL56882, R01 HL61912, R01 HL63030; AHA grant #13GRNT17050100
MS was an employee of Philips Healthcare until May 2014, the manufacturer of equipment used in this study.
MS made substantial contributions to conception and design, the acquisition, analysis and interpretation of data; performed part of the simulations, and drafted and revised the manuscript. RG made substantial contributions to interpretation of data; performed part of the simulations, and critically revised the manuscript for important intellectual content. AE made substantial contributions to conception and design, the acquisition and interpretation of data, and critically revised the manuscript for important intellectual content. AS made substantial contributions to the acquisition of data, and critically revised the manuscript for important intellectual content. PB made substantial contributions to conception and design, the interpretation of data, and critically revised the manuscript for important intellectual content. RW made substantial contributions to conception and design, the acquisition and interpretation of data, and critically revised the manuscript for important intellectual content. All authors read and approved the final manuscript.
Additional file 1:
Boxplot of cardiac CK pseudo-first-order rate constant k f determined with TRiST, spill-over Q-corrected TRiST, and spill-over Q-corrected TwiST for healthy and heart failure patients. kf measured with TRiST, with Q-corrected TRiST, and with Q-corrected TwiST are the same in both healthy and HF patients. Cardiac CK kf in HF is significantly reduced compared to that in normal subjects. (PDF 60 kb)
Rights and permissions
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
About this article
Cite this article
Schär, M., Gabr, R.E., El-Sharkawy, AM.M. et al. Two repetition time saturation transfer (TwiST) with spill-over correction to measure creatine kinase reaction rates in human hearts. J Cardiovasc Magn Reson 17, 70 (2015). https://doi.org/10.1186/s12968-015-0175-4
- Saturation transfer
- Human heart
- Reaction rate
- High-energy phosphate
- Heart failure
- 3 Tesla