Keywords
magnetic resonance spectroscopy - lactate peak - CSF lactate concentration - blood
lactate concentration - mitochondrial disorders
Introduction
Lactate cerebrospinal fluid (CSF) biochemical analysis is an invasive procedure routinely
required during evaluation and monitoring of many neurological diseases. CSF lactate
is considered an indicator of central nervous system cellular oxidative metabolism
and many attempts have been made to set a reference limit of its concentration in
children.[1]
[2] CSF concentration may change within a short period of time, while blood lactate
concentrations may not yet be affected. There is a lack of good correlation between
direct measurement of CSF and plasma lactate that is attributable to the blood–brain
barrier, which prevents a fast equilibrium between those two fluid compartments.[3] Additionally, venous plasma determination can be affected by the sampling conditions,
such as patient agitation, screaming, and prolonged tourniquet time.
Magnetic resonance spectroscopy (MRS) allows a noninvasive detection of lactate peak
(LP) in the brain parenchyma and in the ventricular system, while postprocessing of
MRS data using the LCModel software enables its quantification.[4] Previous studies have tried to show a correlation between increase in the LP detected
on MRS and the lactate levels in CSF and/or blood, but the methodologies were diverse
and the results were sometimes inconsistent. Most of the studies evaluated only MRS
with voxels located in the brain parenchyma.[5]
[6]
[7]
[8]
[9]
[10]
Mitochondrial disorders can be a good model for a respiratory cell compromise disorder.
In mitochondrial disorders, patients with central nervous system involvement usually
present with increased lactate in the CSF and sometimes in the plasma, with lactate
detection being an important tool in the work-up of these conditions.[11]
[12]
The purpose of this study, which was performed in patients with suspected mitochondrial
disorders, was to complete a systematic comparison of intraventricular MRS lactate
detection and quantification and the determination of CSF and venous lactate performed
immediately after MRS.
Methods
Subjects
Twenty-one patients with clinical suspicion of mitochondrial disorders (13 female
and 8 male; mean age: 5 years; range from 9 months to 18 years of age) were included
in this prospective study in a 1-year period from November 2005 to November 2006.
Our Institutional Review Board approved this protocol, and all patients or their legal
representative gave written informed consent to participate in the study.
Magnetic Resonance Imaging and Proton Magnetic Resonance Spectroscopy
All subjects were scanned on a whole-body unit operating at 1.5 T (Signa Horizon LX;
GE Medical Systems, Milwaukee, Wisconsin, United States) with a standard quadrature
head coil. Magnetic resonance imaging (MRI) and MRS were performed at the same time
in the initial clinical investigation for mitochondrial disorders. To locate the MRS
volume of interest (VOI), an axial fast spin-echo T2-weighted image was performed,
with the following parameters: repetition time/echo time (TR/TE): 3,000/88.8 ms, echo
train length: 22, number of excitations (NEX) = 1, slice thickness 10 mm. Single-voxel
MRS was obtained by point-resolved spectroscopy (TR/TE: 1,500/144 ms, 8 phase-cycle
steps, and 96 to 192 acquisitions, depending on voxel size). The MRS VOI was placed
in the lateral ventricles ([Fig. 1A]).
Fig. 1 MRI and MRS in (A) axial T2-weighted MRI show typical VOI for MRS location in the lateral ventricles.
MRS (B) showing the inverted lactate peak and LCModel fit (red curve) to the original signal
(black). Above the spectrum the residual after fitting.
The VOI was individually adjusted by a 12-year experienced neuroradiologist to minimize
gray/white matter partial volume effects. Its size was variable depending on the size
of the lateral ventricles and ranged from 6.4 to 26.9 cm3 (mean voxel size: 11.7 cm3). Before spectra were acquired, a VOI shimming procedure was performed to ensure
adequate field homogeneity, which typically resulted in a water resonance line no
wider than 6 Hz (full width at half maximum). This step was followed by water suppression
adjustment with selective inversion of water resonance.
Metabolite Postprocessing and Quantification
Raw MRS data of the patients were processed offline on a personal computer with LCModel
software (Version 6.1.), an automated and noninteractive quantification tool for MRS
data. The in vivo spectrum was analyzed in the frequency domain as linear combination
of a complete spectral database of metabolic in vitro solutions. The LP was identified
as an inverted doublet peak (coupling constant J = 7 Hz) at 1.33 ppm ([Fig. 1B]). Absolute metabolic concentration was estimated using the water signal in the lateral
ventricles as an internal reference. We corrected for water T1 and T2 relaxation assuming
a T1 of 2.9 second and a T2 of 1.5 second.[13]
[14] The VOI was placed in the lateral ventricle avoiding contamination with brain tissue;
therefore, for conversion to concentration units we assumed the water concentration
in CSF (53,889 mmol/L) that had been previously reported in the literature.[15] To our knowledge, there is only one report of in vivo lactate CSF relaxation times
(measured intraventricular), which presented large differences in CSF lactate T2,
ranging from 323 ms to 1,122 ms, depending on patient/pathology,[16] and there is no report of CSF lactate T1. Given this uncertainty, we opted not to
correct for lactate relaxation times. However, LCModel quantification relies on comparison
with an in vitro metabolite basis set measured with the same TE and subject to the
same transverse relaxation effects; therefore, the obtained concentration values already
take into account the T2 effects, assuming that the lactate T2 in ventricular CSF
is similar to the lactate T2 in the in vitro solution of the LCModel basis dataset.
Biochemical Analysis
Immediately after MRI and MRS conclusion, CSF and blood samples were obtained for
determination of lactate levels. CSF was obtained by lumbar puncture in strict aseptic
conditions and it was immediately cooled and sent to the laboratory, where it was
stored in a thermal recipient. Blood was collected in a fluoride tube from a free-flowing
peripheral vein and centrifuged. Lactate determination in both CSF and plasma was
performed immediately by a colorimetric enzymatic standard assay. The upper reference
level that was used for lactate CSF was 1.7 mmol/L (15.3 mg/dL) (2) and that for plasma
was 2.1 mmol/L (19 mg/dL).
Statistical Analysis
We analyzed the correlation between lactate quantified by MRS, CSF, and blood sampling.
Statistical analysis of the data was performed using the Pearson correlation test.
A p-value of <0.05 was considered statistically significant.
Results
[Table 1] presents the results of lactate detection and quantification by MRS, CSF, and venous
concentration. In 11 patients (52%), lactate was elevated in CSF and in 3 (14%) individuals
in plasma. Concomitant lactate increase in the CSF and blood was only noted in two
patients (10%). LCModel was able to detect a nonzero LP for all patients. As evidenced
in [Table 1], some patients (patients 3, 4, and 15) with lower CSF lactate concentration presented
a very high error (Cramér–Rao lower bound [CRLB] > 45%) associated with lactate quantification.
Lactate concentrations quantified by MRS varied from 0.26 to 6.35 mmol/L (median 1.47 ± 1.51
mmol/L). The corresponding CRLB varied from 13 to 124% (median 23 ± 29%).
Table 1
Detection of lactate by MRS, blood, and cerebrospinal fluid
|
Patient
|
MRS lactate (mmol/L) (CRLB in %)
|
CSF lactate (mmol/L)
|
CSF lactate (mg/dL)
|
Plasma lactate (mmol/L)
|
Plasma lactate (mg/dL)
|
|
1
|
1.26 (41)
|
2.45
|
22.1
|
1.01
|
9.1
|
|
2
|
1.47 (17)
|
1.37
|
12.3
|
0.89
|
8.0
|
|
3
|
0.74 (47)
|
1.24
|
11.2
|
0.71
|
6.4
|
|
4
|
0.26 (124)
|
1.44
|
13.0
|
1.21
|
10.9
|
|
5
|
5.02 (13)
|
3.87
|
34.9
|
1.64
|
14.8
|
|
6
|
1.39 (32)
|
1.01
|
9.1
|
0.73
|
6.6
|
|
7
|
0.95 (22)
|
1.55
|
14.0
|
0.89
|
8.0
|
|
8
|
3.13 (24)
|
3.82
|
35.4
|
5.88
|
53.0
|
|
9
|
2.37 (33)
|
1.74
|
15.7
|
0.89
|
8.0
|
|
10
|
2.54 (20)
|
3.82
|
34.4
|
1.39
|
12.5
|
|
11
|
1.87 (32)
|
1.68
|
15.1
|
1.44
|
13.0
|
|
12
|
6.35 (13)
|
3.36
|
30.3
|
1.39
|
12.5
|
|
13
|
1.56 (23)
|
0.94
|
8.5
|
3.79
|
34.1
|
|
14
|
1.56 (25)
|
1.69
|
15.2
|
1.43
|
12.9
|
|
15
|
0.42 (111)
|
1.48
|
13.3
|
1.68
|
15.1
|
|
16
|
1.19 (20)
|
1.81
|
16.3
|
1.00
|
9.0
|
|
17
|
3.68 (16)
|
3.91
|
35.2
|
2.25
|
20.3
|
|
18
|
1.09 (39)
|
1.92
|
17.3
|
1.25
|
11.3
|
|
19
|
2.65 (13)
|
3.77
|
34.0
|
1.33
|
12.0
|
|
20
|
1.30 (23)
|
1.83
|
16.5
|
1.60
|
14.4
|
|
21
|
1.16 (21)
|
1.70
|
15.3
|
2.10
|
18.9
|
Abbreviations: CRLB, Cramér–Rao lower bound; CSF, cerebrospinal fluid; MRS, proton
spectroscopy.
Note: Lactate CSF and plasma concentrations marked in bold are above the respective
thresholds considered normal for these sampling techniques.
Considering CSF lactate concentration obtained from puncture as the gold standard,
our MRS results of the ventricles presented a sensitivity of 64% and a specificity
of 90%, using the same threshold as in CSF concentration (1.7 mmol/L). If we would
use a threshold of 1.0 mmol/L, the sensitivity would be 100% and the specificity would
decrease to 40%.
The dispersion graph between MRS LP quantification in the lateral ventricles and CSF
lactate concentration is shown in [Fig. 2]. Statistical analysis of the data using the Pearson correlation demonstrated a significant
correlation between MRS LP quantification in the lateral ventricles and CSF lactate
values (Pearson correlation coefficient = 0.750; p < 0.0001). [Fig. 2] also demonstrates the dispersion graph of MRS LP in the lateral ventricles and blood
lactate concentration. No correlation was obtained for MRS LP and blood lactate concentration
(Pearson correlation coefficient = 0.221; p = 0.338).
Fig. 2 Dispersion graph between MRS lactate quantification and lactate concentrations in
mmol/L found in CSF (black diamonds) and in plasma (white squares). Statistical analysis
of the data using Pearson correlation of data obtained by MRS and CSF lactate demonstrated
a significant correlation with CSF lactate (R = 0.75; p < 0.0001) but not with the plasma lactate (R = 0.221; p = 0.338).
The CSF lactate level was normal in one out of the three patients who presented increased
lactate blood plasma levels. The dispersion graph between CSF and blood lactate concentrations
is shown in [Fig. 3]. No correlation was observed for CSF and blood lactate (Pearson correlation coefficient = 0.334;
p = 0.139).
Fig. 3 Dispersion graph between CSF and serum lactate concentration (mg/dL). No correlation
was obtained for these two variables. Pearson correlation coefficient = 0.334; p = 0.139.
Discussion
Lactate detection is a marker of impaired aerobic cellular metabolism and is commonly
seen in mitochondrial disorders. The presence of lactate can be evaluated by blood
analysis, CSF sampling, and MRS. Previous reports have shown that MRS is a useful
tool for the noninvasive detection of an LP in the brain parenchyma and in the ventricles.[6]
[8]
[12] Isobe et al[17] performed an in vitro study that showed a correlation between lactate concentration
in a phantom and its quantification by MRS, and they demonstrated the reliability
of MRS in LP detection. In our study of patients suspected of having mitochondrial
disorders, we were able to quantify an LP by MRS in the lateral ventricles of all
studied patients. Considering a normality upper limit of 1.7 mmol for MRS (the same
used for CSF threshold), lactate was increased only in 8 patients, while it was elevated
in the CSF of 11 patients and in the blood of 3 patients. Therefore, our data demonstrate
that even patients presenting with normal CSF or blood lactate levels can have a detectable
and quantifiable MRS LP.
A discrepant correlation between the results of MRS lactate detection and CSF lactate
levels has been described in the literature.[6]
[7]
[8]
[10] The methodology in the previous papers varied with VOI in different locations (parenchyma
vs. ventricle) and different MRS techniques. Furthermore, the time interval between
the MRS and blood or CSF samples was not mentioned or was not homogeneous, and the
disease phase varied, which may in part explain the differences between MRS, blood,
and CSF lactate detection. Chi et al[6] studied 14 mitochondrial disease patients that presented LP in the brain parenchyma
MRS; of those, 5 had also undergone a CSF sampling, and the CSF was positive for lactate
in only 3 patients. The concomitant MRS LP elevation in the lateral ventricles and
CSF lactate concentration increase was described in a small series (n = 3) by Feng et al.[8] Boddaert et al[7] used MRS and detected an LP in the brain, though the CSF lactate level was negative
in 11 patients and the blood level was positive in 2 out of 9 patients that had blood
sampling. Our results are in contrast to the data from Cross et al,[10] who were able to detect an MRS LP in the brain parenchyma only when the CSF lactate
level was above 4.0 mmol/L. In our study, we could observe MRS LP even when the CSF
lactate concentration was as low as 0.94 mmol/L (8.5 mg/dL). However, when considering
in MRS the same threshold as used for CSF lumbar puncture (>1.7 mmol/L), MRS detection
presented only a sensitivity of 70%. This lack of sensitivity might be related to
a matter of low concentration, since the median lactate CSF concentration of the patients
in which MRS failed to detect an elevated LP (above 1.7 mmol/L) was 2.0 ± 0.3 mmol/L,
while patients with an elevated MRS LP presented a higher concentration (3.5 ± 0.8
mmol/L). This indicates that lactate concentration is after all a limiting factor
for accurate MRS quantification.
In our sample, the blood lactate level was increased in three patients, but the LP
detected on MRS was elevated in only two of these patients. In the other patient,
lactate detected by MRS was 1.6 mmol/L, just below the threshold of normality. Chi
et al[6] reported on a series of patients with mitochondrial disorders and found an LP on
MRS in the brain parenchyma of 14 cases, though only 12 of the patients presented
with an increased blood lactate level. Dinopoulos et al[9] presented a series of 7 out of 17 patients with detected brain MRS LP and normal
plasma lactate levels. Our patient series exclusively included patients who were suspected
of having mitochondrial diseases during the initial work-up, as in the chronic phases
of the disease the LP may not be detected.[8]
[11]
[18]
One point that should be discussed in the evaluation of LP by MRS is the VOI size.
The smaller the VOI, the lower the signal-to-noise ratio of the spectrum and, therefore,
the lower the chance of detecting a quantifiable lactate signal. The smallest voxel
size for which an LP was observed in our series was 6.4 mL (patient 9). In this patient,
the CSF concentration was on the borderline (1.7 mmol/L) and we obtained an MRS value
of 2.37 mmol/L, demonstrating that even with a small voxel size, the signal-to-noise
ratio was not a preventing factor for lactate quantification.
The high specificity obtained for the MRS quantification is encouraging. It means
that patients presenting an elevated LP already in MRS might not need to suffer from
the more invasive procedure of CSF analysis by lumbar puncture.
A limitation of our lactate quantification by MRS is that we were assuming that the
MRS voxel would contain only CSF without contamination from surrounding brain tissue.
Even if care was taken to place and size the MRS voxel in the axial plane within the
ventricle limits, we should remember that the rectangular voxel was 10 mm thick, thereby
preventing a total exclusion of brain tissue. As a result, in most of our intraventricular
spectra, we could also quantify other brain tissue metabolites, such as N-acetylaspartate, creatine, and choline. Water content and water relaxation properties
are different in brain tissue than in CSF; therefore, a partial volume effect with
brain tissue could lead to an overestimation of some of our lactate concentrations
measured by MRS. The variability in this partial volume effect depending on ventricle
size and voxel positioning might explain why the agreement between MRS and CSF concentration
was so different from case to case ([Fig. 2]). Future studies involving tissue segmentation in the attempt to correct for this
partial volume effect should be pursued.
Another aspect to be taken into account is that the lactate signal detected by MRS
is a doublet (split of the original signal in two peaks separated by 7 Hz due to J-coupling).
As a doublet, this peak suffers from phase modulation, which gives the LP the singular
behavior of inverting at specific TEs, which can aid in its identification but complicates
quantification. In our study, we chose the TE of 144 ms suggested in the literature
to achieve a more exact phase inversion.[19] However, other studies have suggested that by measuring the lactate signal at inversion,
part of the signal can potentially be lost, and it will be recovered by measuring
it at the double TE of 288 ms (no inversion of the peak).[20] The recovery of the signal lost by inversion seems to outweigh the signal that would
be lost by transverse relaxation by using a longer TE. Therefore, to improve lactate
detection in future studies, a TE of 288 ms should be chosen, and this is even more
important at higher fields such as 3 T to avoid signal loss due to chemical shift
artifacts.
Conclusion
If MRS quantification shows increased lactate levels in the ventricles, CSF puncture
is not needed for lactate increase confirmation.