Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Other Publications
    • ajnr

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.


AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.

 

Research ArticlePEDIATRICS

Citrate in Pediatric CNS Tumors?

Z.A. Seymour, A. Panigrahy, J.L. Finlay, M.D. Nelson and S. Blüml
American Journal of Neuroradiology May 2008, 29 (5) 1006-1011; DOI: https://doi.org/10.3174/ajnr.A1018
Z.A. Seymour
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
A. Panigrahy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
J.L. Finlay
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M.D. Nelson Jr
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
S. Blüml
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND AND PURPOSE: In a subset of in vivo MR spectra acquired from pediatric brain tumors, we have observed an unassigned peak. The goal of this study was to determine the molecule of origin, and the prevalence and concentration of this chemical in various pediatric brain tumors.

MATERIALS AND METHODS: Single-voxel point-resolved spectroscopy (PRESS) spectra from 85 patients with brain tumors and 469 control subjects were analyzed. Citrate seemed to be a likely candidate, and model spectra of citrate were added to the basis set of metabolites for automated processing with use of LCModel software. Absolute “apparent” concentrations of citrate and the Cramer-Rao lower bounds (CRLB), indicators for the reliability of detection, were determined.

RESULTS: “Apparent” citrate was detected in 26 of 85 patients with CRLB of less than 25%. Diffuse intrinsic brain stem glioma (DIBSG) had the highest mean concentration (4.0 ± 1.1 mmol/kg in all subjects), and 8 of 12 patients had CRLB less than 25%. A significant reduction of citrate (P < .01) was observed in 6 DIBSGs that had follow-up MR spectroscopy studies after radiation therapy. “Apparent” citrate with CRLB less than 25% was detected in 5 of 22 medulloblastomas (mean citrate, 2.9 ± 2.2 mmol/kg), in 5 of 14 ependymomas (2.6 ± 1.8 mmol/kg), 5 of 14 astrocytomas (1.9 ± 1.2 mmol/kg), and 3 of 23 pilocytic astrocytomas (1.4 ± 1.1 mmol/kg). In control subjects older than 6 months, CRLB less than 25% was not observed, whereas CRLB less than 25% was observed in 39 of 194 subjects younger than 6 months,.

CONCLUSION: MR signal consistent with citrate was observed in pediatric brain tumors and in the developing brain of infants younger than 6 months.

Recent advances in hardware and the use of sophisticated processing software such as LCModel (Stephen Provencher, Oakville, Ontario, Canada) or the MRUI1,2 have significantly improved automatic assignment and quantitation of metabolites of in vivo MR spectra of human brain tissue. Processing of spectra is accomplished by fitting in vivo spectra to linear combinations of typically 15 to 20 measured or simulated model spectra of metabolites. This list of metabolites includes the major metabolites N-acetylaspartate (NAA), creatine (Cr), choline-containing compounds (tCho), myo-inositol (mIns), lactate (Lac), glutamate (Glu), and glutamine (Gln). Also included are less prominent metabolites, such as glucose (Glc), scyllo-inositol (sI), taurine (Tau), γ-aminobutyric acid (GABA), aspartate (Asp), and others that are known to be present in measurable concentrations in healthy or diseased brain tissue. After the fitting of the data is completed, in most cases the remaining difference between the original in vivo spectrum and the linear combination comprises only random noise. It needs to be acknowledged that the quantitation of less prominent or complex partially overlapping peaks is less accurate and reliable than the quantitation of a metabolite with a prominent singlet. Still, residual random noise is an indicator that no metabolites at detectable concentrations have systematically been overlooked.

However, in a subset of in vivo MR spectra acquired from pediatric brain tumors, we have observed a residual, nonrandom signal that cannot be attributed to any of the metabolites included in the basis set used for LCModel processing in this institution or that have been reported in the literature for brain tissue. Thus, the goals of this study were to determine the molecule of origin, the prevalence and concentration of this chemical in various pediatric brain tumors, and to review MR spectra of nontumorous tissue for the presence of the signal.

Materials and Methods

Patients With Brain Tumors

A total of 85 pediatric patients with common brain tumors were included in this retrospective review of MR spectra (Table 1). These were diffuse intrinsic brain stem gliomas (DIBSGs; n = 12), low-grade and anaplastic astrocytoma (A/AA; n = 14), low-grade and anaplastic ependymoma (E/AE; n = 14), medulloblastoma (MBL; n = 22), and pilocytic astrocytoma (PA; n = 23). With the exception of DIBSG, biopsy or resection was performed in all tumors, and final pathologic results were available. Diagnoses of DIBSG were made on the basis of the specific clinical symptoms at presentation, clinical course, and MR imaging results.3–6 Biopsies or surgical resections are usually not attempted for these tumors. All patients were studied with MR spectroscopy at initial diagnosis before any treatment. In addition, 13 follow-up MR spectroscopy studies were carried out in a subgroup of 6 patients with DIBSG after radiation therapy. These patients eventually died of progressive disease.

View this table:
  • View inline
  • View popup
Table 1:

“Apparent” citrate concentrations (mmol/kg) and prevalence in common pediatric brain tumors

Control Data

We have also reviewed 615 spectra obtained from 469 subjects (age range, 0–24 years) studied in this institution who had no tumors and were deemed to be controls. This included a small group of healthy subjects (siblings of study subjects) and patients who underwent a clinically indicated MR study but in whom MR images were interpreted as normal and neurologic sequelae were not reported at this stage. Indications for MR imaging and MR spectroscopy of patients included rule out hypoxic or ischemic injury, rule out periventricular leukomalacia, suspected (but not confirmed) encephalopathies or tumors, transient seizures, and other diseases. All spectra were acquired from either occipital gray matter (349 spectra) or parietal white matter (266 spectra). A preliminary analysis showed identical results for gray and white locations, and gray and white matter spectra were thus pooled. However, there are large age-dependent changes of metabolite concentrations. Therefore, the control group was divided into 2 subgroups: subjects 6 months and older age-matched with patients with tumors (group A, 275 subjects) and subjects 0 to 6 months old (group B, 194 subjects) (Table 2).

View this table:
  • View inline
  • View popup
Table 2:

Summary of the prevalence of low and high Cramer-Rao lower bounds (CRLB) for citrate detection in spectra acquired in controls with negative MR imaging results and unremarkable clinical follow-up

The Institutional Review Board approved this research. We obtained parental consent for patients who were enrolled in prospective studies. For the remaining subjects, the Institutional Review Board approved the review of already existing data and medical records for the purpose of generating control data. The requirement for parental consent was waived for these subjects.

MR Spectroscopy Acquisition and Quantitation of Citrate

All MR spectroscopy studies were carried out on a 1.5T MR system (Signa Horizon LX; GE Healthcare, Milwaukee, Wis). In patients aged 5 years and younger, anesthesia with propofol 100 to 200 μg/min/kg was given throughout the MR study.

We acquired single-voxel 1H-MR spectra using point-resolved spectroscopy (PRESS) with a short TE of 35 ms, a TR of 1.5 s, signal averages of 128, and total acquisition time (including scanner adjustments) for each spectrum of approximately 5 minutes. In a subgroup of subjects, spectra with TE of 144 and 316 ms were acquired as well. Sizes of the regions of interest (ROIs) typically varied between 4 and 8 cm3 for tumor spectra. All tumor ROIs were reviewed, and the ROIs did not include surrounding healthy tissue or edema in all cases. Gray and white matter ROIs in the controls increased typically from 3 cm3 in neonates to 10 cm3 in adults as the brain increases in size with age.

Chemical shift and pattern of the unassigned signal were suggestive of citrate. Therefore, a model solution containing 200 mmol/L sodium citrate, 3 mmol/L 3-trimethylsilyl-1-propane-sulfonic acid (DSS = chemical shift reference), 72 mmol/L dibasic potassium phosphate, 28 mmol/L monobasic potassium phosphate, 200 mmol/L sodium formate, and 1 g/L sodium azide was prepared and adjusted to a pH of 7.2. Fully relaxed spectra at various TE (eg, 35, 144, and 316 ms) were acquired from this model solution for comparison with in vivo spectra.

We performed all processing using fully automated LCModel software (Version 6.1–4F; Stephen Provencher). Spectra of citrate were added to the basis set of the LCModel software for quantitation of signal, tentatively termed apparent citrate. Absolute metabolite concentrations (in mmol/kg tissue) of “apparent” citrate and all other metabolites included in the processing software as well as absolute intensities of lipids at 0.9 and 1.3 ppm were measured. Because this work focused on the unassigned signal, only “apparent” citrate concentrations are reported. “Apparent” citrate concentrations were corrected for the varying fractions of necrotic or cystic fluid in the ROIs as described previously.7 Also analyzed were the Cramer-Rao lower bounds (CRLB) of “apparent” citrate, provided by the LCModel software. CRLB are objective indicators for the reliability of detection and quantitation of a metabolite in a spectrum. Small values for CRLB correlate with a more reliable detection and more accurate quantitation. CRLB above 100% indicate no evidence for the presence of a metabolite. For our study, we have empirically selected CRLB less than 25% to identify spectra with a high likelihood for the presence of “apparent” citrate.

Statistical Analyses

We tested the “apparent” citrate concentrations in various types of tumors for significant differences using unpaired, 2-tailed t tests. To determine significant changes in serial follow-up MR spectroscopy examinations of DIBSG, we computed the slope of the linear regression of “apparent” citrate for each patient. If there were no relationship between clinical progression and serial changes in these measurements, one would expect the average slope for each measurement to be zero. We tested the hypothesis of zero-average slope using a 1-sample, 2-sided t test. Paired, 2-tailed t tests were used to compare “apparent” citrate concentrations of DIBSG at baseline and at follow-up.

Results

Signal Assignment

Spectra acquired from a DIBSG, an ependymoma, and an anaplastic astrocytoma showed a signal at 2.6 ppm consistent with citrate (Fig 1). In 1 patient with an anaplastic astrocytoma and 2 patients with DIBSG, spectra with TE of 35, 144, and 316 ms were acquired. The complex signal in tumor spectra tentatively assigned as citrate showed the same J-modulation as citrate in the model solution (Fig 2).

Fig 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 1.

Short TE PRESS 1H-MR spectroscopy of pediatric brain tumors. Shown are spectra of DIBSG (A), ependymoma (B), and anaplastic astrocytoma (C) with a complex signal centered at 2.6 ppm consistent with citrate (D).

Fig 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 2.

Signal modulation of in vivo PRESS spectra of anaplastic astrocytoma (i) and DIBSG (ii + iii) acquired with different TE. In vivo spectra acquired at TE of 35 ms (A), 144 ms (B), and 316 ms (C) from the same ROI are compared with spectra obtained from a citrate model solution at the same conditions. The complex signal centered at 2.6 ppm in tumor spectra shows the same J-modulation as citrate. At a TE of 316 ms, the center peaks of citrate are inverted.

Detection of “Apparent” Citrate in MR Spectra of Untreated Pediatric Central Nervous System Tumors

Citrate with CRLB less than 25% was detected in 26 (31%) of 85 patients with untreated brain tumors. Mean “apparent” citrate concentration in all tumors was 2.3 ± 1.7 mmol/kg. DIBSG at baseline had the highest mean concentration (4.0 ± 1.1 mmol/kg, all patients with DIBSG) and the highest prevalence of CRLB less than 25% (8 [67%] of 12 patients). The administration of steroids did not have a noticeable impact on “apparent” citrate concentrations. In 5 patients who were given steroids at the time of the MR study, mean “apparent” citrate concentration was 4.1 mmol/kg. In 7 patients in whom a study was performed before any medication, mean citrate concentration was 4.0 mmol/kg. In all low-grade and anaplastic astrocytomas, mean citrate concentration was 2.6 ± 1.8 mmol/kg, and CRLB was less than 25% in 5 (36%) of 14 subjects. Mean citrate concentration in more malignant anaplastic astrocytomas was not different from that in low-grade astrocytomas (2.5 ± 1.1 vs 2.6 ± 2.3 mmol/kg, respectively). In all ependymoma and anaplastic ependymomas, mean citrate concentration was 2.9 ± 2.2 mmol/kg, and CRLB was less than 25% in 5 (36%) of 14 subjects. Mean citrate concentration in more malignant anaplastic ependymomas was lower than that in low-grade ependymomas but did not reach significance, with only a small number of subjects studied (2.1 ± 1.8 vs 3.5 ± 2.4 mmol/kg). In 5 (23%) of 22 medulloblastomas, CRLB was less than 25%, and mean citrate concentration was 1.9 ± 1.2 mmol/kg. There was only limited evidence for “apparent” citrate in low-grade pilocytic astrocytoma. There were 3 (13%) of 23 patients who had CRLB less than 25%, and mean “apparent” citrate concentration was 1.4 ± 1.1 mmol/kg. “Apparent” citrate concentrations were significantly lower in medulloblastomas and pilocytic astrocytomas than those in DIBSG (Table 1).

Time Course of “Apparent” Citrate in Progressing DIBSG

A nonrandom residual signal, not accounted for by standard metabolites included in the LCModel basis set and consistent with citrate, was observed in the MR spectrum obtained from a representative patient at the time of initial diagnosis. The signal was less readily detected in follow-up studies of DIBSG (Fig 3). When data from all DIBSG with follow-up studies were reviewed, the mean slope of citrate concentration relative to baseline concentrations was −7% per months, which was significantly different from zero (P < .01; 1-sample 2-sided t test). Mean “apparent” citrate concentrations in the 6 patients with DIBSG with follow-up MR spectroscopy was 3.8 ± 1.3 mmol/kg at baseline. At the time of the final MR spectroscopy study, mean “apparent” citrate was 1.8 ± 1.3 mmol/kg, which was significantly different from the baseline value (P < .05; paired, 2-tailed t test).

Fig 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 3.

Time course of citrate in DIBSG. A, Nonrandom residual signal, not accounted for by standard metabolites included in the LCModel basis set and consistent with citrate, can be detected in the MR spectrum obtained from a representative patient at the time of initial diagnosis. This signal is less readily detected in follow-up studies of this patient at 7 and 11 months when there was clinical progression of disease. Spectra are scaled to measured absolute concentrations to allow direct comparison of peak areas. Shown are unfiltered raw data (thin line) and the LCModel fit to the data (thick line). B, Plotted are tumor citrate concentrations versus time after initial diagnoses obtained from 6 patients in whom studies were performed repeatedly. Concentrations of citrate decrease significantly with time.

“Apparent” Citrate in Occipital Gray Matter and Parietal White Matter of Controls

When all spectra were pooled, the mean CRLB for “apparent” citrate was 240%, which means that citrate concentration could be zero or 4 times the estimated concentration (95% confidence). “Apparent” citrate is thus practically undetectable (Fig 4). However, it was noted that of a total of 615 spectra acquired in occipital gray and parietal white matter in 43 (7%) patients, Cramer-Rao lower bounds of less than 25% were reported with the LCModel software. All spectra were acquired from neonates or infants younger than 6 months (Fig 5, Table 2). In controls older than 6 months, CRLB less than 25% was not observed.

Fig 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 4.

MR spectroscopy of age-matched controls. There is no evidence for citrate in spectra of age-matched control subjects as illustrated in a representative PRESS (TE, 35 ms) spectrum of occipital gray matter (A). Spectra from model solutions of citrate and NAA are shown for comparison (B). Note that the NAA peak at approximately 2.7 ppm does not co-resonate with citrate.

Fig 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 5.

MR spectroscopy of premature brain. A, An MR spectrum of a premature baby (gestational age, 33 weeks; 7 weeks premature) who underwent an MR examination to rule out white matter injury is shown. The MR images were interpreted as normal, and neurologic sequelae are not reported at this stage. A small signal at 2.6 ppm consistent with citrate is detected. Note that the low levels of NAA are normal for premature brain.24 B, T2-weighted MR image indicating the ROI.

Discussion

We have retrospectively reviewed in vivo MR spectra of common pediatric brain tumors and observed a signal that, until now, has not been assigned. The chemical shift, pattern, and J-modulation were consistent with citrate. Citrate has been detected previously in human tissue, namely in the prostate. It is well known that citrate accumulates at high concentrations in healthy human prostate and that levels are significantly lower in malignant prostate. Citrate is thus an important in vivo marker of a malignant process.8–11 Citrate concentrations in brain tissue (approximately 0.4 mmol/kg12,13) and CSF (approximately 0.2 mmol/L14) are very low, and, to the best of our knowledge, citrate has not been identified with in vivo MR spectroscopy in human brain tissue.

Citrate Metabolism

The causes for a possible accumulation of citrate in subgroups of pediatric brain tumors, either metabolic or physiologic or both, and its decline in progressing brain stem glioma are unclear. Citrate is an intermediate in the tricarboxylic acid (TCA) cycle. Citrate is formed by exergonic condensation of oxaloacetate with acetylcoenzyme A (acetyl-CoA) and is converted to isocitrate by mitochondrial aconitase. Decreased demand of cellular energy and a buildup of adenosine triphosphate (ATP) result in a reduced flux through the TCA cycle and increased levels of citrate. In normal conditions, excess citrate is then involved in the biosynthesis of fatty acids for energy storage by transporting acetyl-CoA carbons from the mitochondria to the cytoplasm and by activating acetyl-CoA carboxylase (Fig 6). High concentrations of citrate are also known to inhibit phosphofructokinase, a key enzyme of glycolysis.

Fig 6.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 6.

Citrate metabolism. Citrate is an intermediate in the TCA cycle. Citrate is also used to transport acetyl-CoA carbons to the cytoplasm for the biosynthesis of fatty acids to store energy and for membrane generation.

Tumors that use glycolysis at abnormally high levels in the absence of equally increased activity of TCA cycle-regulating enzymes may accumulate citrate. Declining levels in progressing tumors may indicate increased TCA cycle activity to meet the greater energy demand associated with increased malignant activity. It may also indicate a higher rate of de novo fatty acid synthesis to increase membrane generation and tumor growth rate. Zinc inhibits aconitase activity. It has been proposed that, in prostate cancer, reduced levels of zinc trigger increased aconitase activity and oxidation of citrate, enabling the transition to a malignant state.11 Alternative mechanisms for altered citrate levels may be defects in the transport of citrate from mitochondria to cytoplasm, in the breakdown by ATP citrate lyase, or in other enzymes that involve citrate metabolism.

Citrate in Pediatric Brain Tumors

Among common pediatric brain tumors, the “apparent” citrate concentrations were highest in DIBSG. It is believed that, at diagnosis, a significant fraction of DIBSG presents as low-grade astrocytoma. At autopsy, most lesions have progressed to higher-grade tumors such as anaplastic astrocytoma or glioblastoma.4,15–19 Therefore, biochemical changes that are associated with malignant transformation can be studied by serial MR spectroscopy in these tumors. We observed metabolic changes indicative of malignant transformation, reported elsewhere,20 that have been also previously reported by Laprie et al21 and Thakur et al22 for this patient population. These included increased levels of tCho, decreased metabolite ratios of NAA to tCho and Cr to tCho, as well as increased levels of lipids. In addition, in our study, “apparent” citrate levels declined significantly, which may also be associated with malignant transformation. However, at this stage, it cannot be ruled out that other factors such as the long-term administration of steroids, radiation therapy, and chemotherapy alter “apparent” citrate levels.

“Apparent” citrate was also detected in subgroups of patients with astrocytoma, ependymoma, and medulloblastoma, whereas there was limited evidence for “apparent” citrate in patients with pilocytic astrocytoma. Because most of these tumors are subject to total surgical resection, an insufficient number of follow-up studies were available for evaluation of the time course of “apparent” citrate in these tumors. At baseline, there was no correlation of “apparent” citrate levels with histologic grade. For example, “apparent” citrate levels in anaplastic and low-grade astrocytoma were not different. However, it was noted that in low-grade ependymoma, mean “apparent” citrate seemed to be higher than in more malignant anaplastic ependymoma, albeit not reaching significance.

Detection of “Apparent” Citrate in Controls

When citrate is included in the basis set for LCModel processing, the fitting procedure potentially might identify signal consistent with citrate by chance in a subset of spectra. Therefore, we have reprocessed 615 spectra of parietal white matter and occipital gray matter obtained from 469 subjects whom we deemed to be appropriate controls for pediatric patients. Line widths and signal-to-noise ratios of these spectra and tumor spectra were comparable. There are significant age-dependent changes of metabolites particularly during the first months of life.23–25 Controls were consequently subdivided into 2 groups, of which the first group age-matched with the patients included only subjects older than 6 months, an age by which the most dramatic changes of biochemical brain maturation have already occurred.23 The second group included neonates and infants younger than 6 months. In the age-matched control group (359 spectra), citrate with CRLB of less than 25% was not detected. Therefore, it is highly unlikely that the detection of citrate with CRLB less than 25% in 31% of all brain tumor spectra is coincidental. In subjects younger than 6 months, “apparent” citrate with CRLB less than 25% was detected in 43 (17%) of 256 spectra. One might speculate that higher citrate levels in the developing brain may reflect the low-energy demand of the premature brain. Alternatively, it may reflect the higher rate of de novo synthesis of fatty acids ultimately for membrane generation at this stage.

Conclusions

An unassigned signal at approximately 2.6 ppm was tentatively labeled as citrate on the basis of the spectral pattern, chemical shift position, and modulation of the signal in spectra acquired with various TEs. The signal was most prominent and most often observed in DIBSG at presentation but was also noted in other common pediatric brain tumors. “Apparent” citrate concentrations declined significantly with time in progressing brain stem glioma. In general, there was no evidence for citrate in spectra acquired in controls. However, an increased prevalence of a signal consistent with citrate was noted in subjects younger than 6 months.

Acknowledgments

We thank Drs. F.H. Gilles and Ignacio Gonzalez-Gomez for their help with obtaining final pathologic results of resected tumors and for allowing us to use their laboratory. We also appreciate helpful suggestions from Dr. Angel Moreno-Torres (Centre Diagnostic Pedralbes, Barcelona, Spain). We also thank G. Nicholson, CRT, ARRT, for help with performing the scanning examinations; N. Ghugre, MS, for assisting with the analysis; and Barbara Britt, MSN, for help with reviewing medical records.

Footnotes

  • Previously presented in part at: Joint Annual Meeting of the International Society for Magnetic Resonance in Medicine and the European Society for Magnetic Resonance in Medicine and Biology, May 19–25, 2007; Berlin, Germany.

  • This study was supported by grants from the Pediatric Brain Tumor Foundation of the United States and the National Childhood Cancer Foundation (U01 CA97452-02).

References

  1. ↵
    Provencher SW. Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magn Reson Med 1993;30:672–79
    CrossRefPubMed
  2. ↵
    Naressi A, Couturier C, Devos JM, et al. Java-based graphical user interface for the MRUI quantitation package. MAGMA 2001;12:141–52
    CrossRefPubMed
  3. ↵
    Albright AL, Packer RJ, Zimmerman R, et al. Magnetic resonance scans should replace biopsies for the diagnosis of diffuse brain stem gliomas: a report from the Children's Cancer Group. Neurosurgery 1993;33:1026–29; discussion 1029–30
    PubMed
  4. ↵
    Pan E, Prados M. Brainstem gliomas. In: Gupta N, Haas-Kogen D, Banerjee A (eds.), Pediatric CNS Tumors, Vol.3 . Berlin, Heidelberg, New York: Springer-Verlag;2004 :49–61.
  5. Jallo GI, Biser-Rohrbaugh A, Freed D. Brainstem gliomas. Childs Nerv Syst 2004;20:143–53
    CrossRefPubMed
  6. ↵
    Barkovich AJ, Krischer J, Kun LE, et al. J Brain stem gliomas: a classification system based on magnetic resonance imaging. Pediatr Neurosurg 1990;16:73–83
    CrossRefPubMed
  7. ↵
    Ernst T, Kreis R, Ross BD. Absolute quantitation of water and metabolites in the human brain. I. Compartments and water. J Magn Reson 1993;102:1–08
    CrossRef
  8. ↵
    Marberger H, Marberger E, Mann T, et al. Citric acid in human prostatic secretion and metastasizing cancer of prostate gland. Brit Med J 1962;1:835–36
    FREE Full Text
  9. Kurhanewicz J, Dahiya R, Macdonald JM, et al. Citrate alterations in primary and metastatic human prostatic adenocarcinomas: 1H magnetic resonance spectroscopy and biochemical study. Magn Reson Med 1993;29:149–57
    PubMed
  10. Kurhanewicz J, Vigneron DB, Nelson SJ, et al. Citrate as an in vivo marker to discriminate prostate cancer from benign prostatic hyperplasia and normal prostate peripheral zone: detection via localized proton spectroscopy. Urology 1995;45:459–66
    CrossRefPubMed
  11. ↵
    Costello LC, Franklin RB, Narayan P. Citrate in the diagnosis of prostate cancer. Prostate 1999;38:237–45
    CrossRefPubMed
  12. ↵
    Naruse H, Cheng SC, Waelsch H. Microdetermination of citric acid in nervous tissue. Exp Brain Res 1966;1:40–47
    PubMed
  13. ↵
    Mason GF, Rothman DL, Behar KL, et al. NMR determination of the TCA cycle rate and alpha-ketoglutarate/glutamate exchange rate in rat brain. J Cereb Blood Flow Metab 1992;12:434–47
    CrossRefPubMed
  14. ↵
    Lentner, C. Geigy. Scientific tables. In: Ciba-Geigy (ed.), Vol. 1 Units of Measurement Body Fluids Nutrition. Basel, Switzerland: Ciba-Geigy;1981 :173
  15. ↵
    Farmer JP, Montes JL, Freeman CR, et al. Brainstem gliomas. A 10-year institutional review. Pediatr Neurosurg 2001;34:206–14
    CrossRefPubMed
  16. Freeman CR, Farmer JP. Pediatric brain stem gliomas: a review. Int J Radiat Oncol Biol Phys 1998;40:265–71
    CrossRefPubMed
  17. Mandell LR, Kadota R, Freeman C, et al. There is no role for hyperfractionated radiotherapy in the management of children with newly diagnosed diffuse intrinsic brainstem tumors: results of a Pediatric Oncology Group phase III trial comparing conventional vs. hyperfractionated radiotherapy. Int J Radiat Oncol Biol Phys 1999;43:959–64
    CrossRefPubMed
  18. Nelson MD Jr, Soni D, Baram TZ. Necrosis in pontine gliomas: radiation induced or natural history? Radiology 1994;191:279–82
    PubMed
  19. ↵
    Yoshimura J, Onda K, Tanaka R, et al. Clinicopathological study of diffuse type brainstem gliomas: analysis of 40 autopsy cases. Neurol Med Chir (Tokyo)2003;43:375–82; discussion 382
    CrossRef
  20. ↵
    Panigrahy A, Nelson MD Jr, Finlay JL, et al. Metabolism of diffuse intrinsic brainstem gliomas in children. Neuro Oncol 2008;10:32–44. Epub 2007 Nov 14
    Abstract/FREE Full Text
  21. ↵
    Laprie A, Pirzkall A, Haas-Kogan DA, et al. Longitudinal multivoxel MR spectroscopy study of pediatric diffuse brainstem gliomas treated with radiotherapy. Int J Radiat Oncol Biol Phys 2005;62:20–31
    CrossRefPubMed
  22. ↵
    Thakur SB, Karimi S, Dunkel IJ, et al. Longitudinal MR spectroscopic imaging of pediatric diffuse pontine tumors to assess tumor aggression and progression. AJNR Am J Neuroradiol 2006;27:806–09
    Abstract/FREE Full Text
  23. ↵
    Kreis R, Ernst T, Ross BD. Development of the human brain: in vivo quantification of metabolite and water content with proton magnetic resonance spectroscopy. Magn Reson Med 1993;30:424–37
    CrossRefPubMed
  24. ↵
    Kreis R, Hofmann L, Kuhlmann B, et al. Brain metabolite composition during early human brain development as measured by quantitative in vivo 1H magnetic resonance spectroscopy. Magn Reson Med 2002;48:949–58
    CrossRefPubMed
  25. ↵
    Pouwels PJ, Brockmann K, Kruse B, et al. Regional age dependence of human brain metabolites from infancy to adulthood as detected by quantitative localized proton MRS. Pediatr Res 1999;46:474–85
    CrossRefPubMed
  • Received October 5, 2007.
  • Accepted after revision December 20, 2007.
  • Copyright © American Society of Neuroradiology
View Abstract
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 29 (5)
American Journal of Neuroradiology
Vol. 29, Issue 5
May 2008
  • Table of Contents
  • Index by author
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Citrate in Pediatric CNS Tumors?
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
Z.A. Seymour, A. Panigrahy, J.L. Finlay, M.D. Nelson, S. Blüml
Citrate in Pediatric CNS Tumors?
American Journal of Neuroradiology May 2008, 29 (5) 1006-1011; DOI: 10.3174/ajnr.A1018

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Citrate in Pediatric CNS Tumors?
Z.A. Seymour, A. Panigrahy, J.L. Finlay, M.D. Nelson, S. Blüml
American Journal of Neuroradiology May 2008, 29 (5) 1006-1011; DOI: 10.3174/ajnr.A1018
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Conclusions
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Crossref (36)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Citric acid: A green cross-linker of biomaterials for biomedical applications
    Rabiu Salihu, Saiful Izwan Abd Razak, Nurliyana Ahmad Zawawi, Mohammed Rafiq Abdul Kadir, Norjihada Izzah Ismail, Norhana Jusoh, Mohd Riduan Mohamad, Nadirul Hasraf Mat Nayan
    European Polymer Journal 2021 146
  • Diffuse intrinsic pontine gliomas—current management and new biologic insights. Is there a glimmer of hope?
    Kenneth J. Cohen, Nada Jabado, Jacques Grill
    Neuro-Oncology 2017 19 8
  • Identification of ATP citrate lyase as a positive regulator of glycolytic function in glioblastomas
    Marie E. Beckner, Wendy Fellows‐Mayle, Zhe Zhang, Naomi R. Agostino, Jeffrey A. Kant, Billy W. Day, Ian F. Pollack
    International Journal of Cancer 2010 126 10
  • Neuroimaging of Pediatric Brain Tumors: From Basic to Advanced Magnetic Resonance Imaging (MRI)
    Ashok Panigrahy, Stefan Blüml
    Journal of Child Neurology 2009 24 11
  • Magnetic resonance spectroscopy in pediatric neuroradiology: clinical and research applications
    Ashok Panigrahy, Marvin D. Nelson, Stefan Blüml
    Pediatric Radiology 2010 40 1
  • GC/MS-based metabolomic analysis of cerebrospinal fluid (CSF) from glioma patients
    Satoshi Nakamizo, Takashi Sasayama, Masakazu Shinohara, Yasuhiro Irino, Shin Nishiumi, Masamitsu Nishihara, Hirotomo Tanaka, Kazuhiro Tanaka, Katsu Mizukawa, Tomoo Itoh, Masaaki Taniguchi, Kohkichi Hosoda, Masaru Yoshida, Eiji Kohmura
    Journal of Neuro-Oncology 2013 113 1
  • Posterior Fossa Tumors
    Lara A. Brandão, Tina Young Poussaint
    Neuroimaging Clinics of North America 2017 27 1
  • Conventional and Advanced MRI Features of Pediatric Intracranial Tumors: Posterior Fossa and Suprasellar Tumors
    Michael J. Plaza, Maria J. Borja, Nolan Altman, Gaurav Saigal
    American Journal of Roentgenology 2013 200 5
  • Magnetic resonance spectroscopic detection of lactate is predictive of a poor prognosis in patients with diffuse intrinsic pontine glioma
    F. Yamasaki, K. Kurisu, Y. Kajiwara, Y. Watanabe, T. Takayasu, Y. Akiyama, T. Saito, R. Hanaya, K. Sugiyama
    Neuro-Oncology 2011 13 7
  • Targeting citrate as a novel therapeutic strategy in cancer treatment
    Lan Huang, Cindy Wang, Huaxi Xu, Guangyong Peng
    Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 2020 1873 1

More in this TOC Section

  • Comparison of Image Quality and Radiation Dose in Pediatric Temporal Bone CT Using Photon-Counting Detector CT and Energy-Integrating Detector CT
  • SyMRI & MR Fingerprinting in Brainstem Myelination
  • Axenfeld-Rieger Syndrome: Neuroimaging Findings
Show more Pediatrics

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editors Choice
  • Fellow Journal Club
  • Letters to the Editor

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

Special Collections

  • Special Collections

Resources

  • News and Updates
  • Turn around Times
  • Submit a Manuscript
  • Author Policies
  • Manuscript Submission Guidelines
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Submit a Case
  • Become a Reviewer/Academy of Reviewers
  • Get Peer Review Credit from Publons

Multimedia

  • AJNR Podcast
  • AJNR SCANtastic
  • Video Articles

About Us

  • About AJNR
  • Editorial Board
  • Not an AJNR Subscriber? Join Now
  • Alerts
  • Feedback
  • Advertise with us
  • Librarian Resources
  • Permissions
  • Terms and Conditions

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire