Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
Research ArticleCLINICAL INVESTIGATIONS

Metabolic Imaging of Cerebral Gliomas: Spatial Correlation of Changes in O-(2-18F-Fluoroethyl)-l-Tyrosine PET and Proton Magnetic Resonance Spectroscopic Imaging

Andreas Stadlbauer, Olaf Prante, Christopher Nimsky, Erich Salomonowitz, Michael Buchfelder, Torsten Kuwert, Rainer Linke and Oliver Ganslandt
Journal of Nuclear Medicine May 2008, 49 (5) 721-729; DOI: https://doi.org/10.2967/jnumed.107.049213
Andreas Stadlbauer
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Olaf Prante
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christopher Nimsky
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erich Salomonowitz
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Buchfelder
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Torsten Kuwert
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rainer Linke
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Oliver Ganslandt
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • FIGURE 1. 
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1. 

    Procedure for coregistering 18F-FET PET and 1H MRSI data for patient 3. (A) Axial and coronal images of fused 18F-FET PET and anatomic MRI dataset, obtained by coregistration of color-coded PET dataset (color code: red = maximum 18F-FET uptake and blue = minimum 18F-FET uptake) with 3D MPRAGE dataset. (B) Axial and sagittal images of fused 1H MRSI data (evaluated as tNAA metabolic map) and anatomic MRI data, obtained by coregistration of color-coded MRI/MRSI hybrid dataset (color code: red = maximum tNAA concentration and blue = minimum tNAA concentration) with 3D MPRAGE dataset. (Sagittal image shows MRI/MRSI hybrid dataset consisting of anatomic information in blue above and below tNAA metabolic map.) (C) Axial image of coregistered 18F-FET PET dataset (gray scale) and tNAA metabolic map (color coded) calculated from 1H MRSI dataset.

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

    Segmentation of areas in lesion with different levels of 18F-FET uptake and copy of ROIs to 1H MRSI data for patient 5. (A) Axial PET image with manually defined ROIs for segmentation of areas with maximum 18F-FET uptake (black line), strong 18F-FET uptake (dark gray line), moderate 18F-FET uptake (gray line), and low 18F-FET uptake (light gray line). (B) Corresponding Cho/tNAA ratio map and ROIs overlaid on anatomic MR image. (C) LCModel fits (red line) of representative spectra. Upper spectrum is from voxel position in CNB (white square on B), middle spectrum is from voxel in area with moderate 18F-FET uptake, and lower spectrum is from voxel in area with maximum 18F-FET uptake.

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

    Series of images with variable opacities illustrating fusion of segmented Cho/tNAA ratio maps and 18F-FET PET images from patient 3. (A) Segmented Cho/tNAA ratio map with 100% opacity. (B and C) Fusion of segmented Cho/tNAA ratio map (with 75% opacity [B] and 25% opacity [C]) and 18F-FET PET images (with 25% opacity [B] and 75% opacity [C]). (D) 18F-FET PET image with 100% opacity.

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

    Scatter plots of correlations between metabolite data determined with 1H MRSI and TBR of 18F-FET uptake for all 15 patients with gliomas. Overlaid are Spearman ρ correlation coefficients from linear regression analyses. (A and B) Significant correlations between Cho/tNAA ratio and TBR of 18F-FET uptake (P < 0.001) (A) and between tNAA concentration and TBR of 18F-FET uptake (P = 0.031) (B) in area with maximum 18F-FET uptake. (C) Significant correlation between Cr concentration (conc.) and TBR of 18F-FET uptake in area with low 18F-FET uptake (P = 0.013).

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

    Box plots of TBR of 18F-FET uptake (A), tNAA concentration (conc.) (B), and Cho/tNAA ratio (C) in area with maximum 18F-FET uptake for groups of patients with gliomas of WHO grades II, III, and IV. Significant differences between subgroups are marked with dotted lines, and P values are overlaid.

Tables

  • Figures
    • View popup
    TABLE 1

    Clinical Data for 15 Patients

    PatientAge (y)SexHistologic diagnosisLocationOverlap of maxima*
    151FAstrocytoma of WHO grade IIIR, frontotemporal2
    229MAstrocytoma of WHO grade IIL, postcentral2
    337FOligoastrocytoma of WHO grade IIIR, frontal2
    434MGBM of WHO grade IVL, temporoparietal2
    539FGBM of WHO grade IVL, frontal2
    657FAstrocytoma of WHO grade IIIL, frontal1
    754MAstrocytoma of WHO grade IIIL, frontal1
    838MAstrocytoma of WHO grade IIL, frontoparietal2
    923FOligoastrocytoma of WHO grade IIR, occipital2
    1024FAstrocytoma of WHO grade IIIL, frontal2
    1178MGliomatosis cerebriR, temporal1
    1243MGBM of WHO grade IVR, temporal1
    1366MGBM of WHO grade IVL, temporal2
    1459MGBM of WHO grade IVR, frontal2
    1543MOligoastrocytoma of WHO grade IIR, parietal2
    • ↵* Overlap of maxima = estimation of overlap between area with maximum 18F-FET uptake and area with maximum changes in corresponding Cho/tNAA ratio maps: 2 = 100%–50% overlap; 1 = <50% but more than no overlap; 0 = no overlap.

    • R = right hemisphere; L = left hemisphere.

    • View popup
    TABLE 2

    Correlations of 18F-FET Uptake and 1H MRSI Metabolite Data

    R for:
    Area of 18F-FET uptakeChoCrtNAACho/tNAA
    Maximum0.475−0.064−0.557*0.945†
    Strong0.4920.464−0.4040.811†
    Moderate0.1640.471−0.4820.531*
    Low0.0720.626*−0.0890.095
    CNB−0.134−0.2900.384−0.329
    All tumor areas‡0.501†−0.022−0.880†0.891†
    Tumors of following WHO grade§ (no. of subjects):
    II (4)0.535*−0.126−0.871†0.849†
    III (6)0.406*0.007−0.845†0.851†
    IV (5)0.705†0.036−0.913†0.947†
    • ↵* P < 0.05.

    • ↵† P < 0.001.

    • ↵‡ Correlations for combination of all 4 areas in lesions (maximum to low 18F-FET uptake).

    • ↵§ Correlations for all tumor areas in subgroups of patients with WHO grade II, III, and IV gliomas. Patient with gliomatosis cerebri was included in group of patients with glioma of WHO grade III.

PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 49 (5)
Journal of Nuclear Medicine
Vol. 49, Issue 5
May 2008
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

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.
Metabolic Imaging of Cerebral Gliomas: Spatial Correlation of Changes in O-(2-18F-Fluoroethyl)-l-Tyrosine PET and Proton Magnetic Resonance Spectroscopic Imaging
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Metabolic Imaging of Cerebral Gliomas: Spatial Correlation of Changes in O-(2-18F-Fluoroethyl)-l-Tyrosine PET and Proton Magnetic Resonance Spectroscopic Imaging
Andreas Stadlbauer, Olaf Prante, Christopher Nimsky, Erich Salomonowitz, Michael Buchfelder, Torsten Kuwert, Rainer Linke, Oliver Ganslandt
Journal of Nuclear Medicine May 2008, 49 (5) 721-729; DOI: 10.2967/jnumed.107.049213

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Metabolic Imaging of Cerebral Gliomas: Spatial Correlation of Changes in O-(2-18F-Fluoroethyl)-l-Tyrosine PET and Proton Magnetic Resonance Spectroscopic Imaging
Andreas Stadlbauer, Olaf Prante, Christopher Nimsky, Erich Salomonowitz, Michael Buchfelder, Torsten Kuwert, Rainer Linke, Oliver Ganslandt
Journal of Nuclear Medicine May 2008, 49 (5) 721-729; DOI: 10.2967/jnumed.107.049213
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • This Month in JNM
  • PubMed
  • Google Scholar

Cited By...

  • Spatial Relationship of Glioma Volume Derived from 18F-FET PET and Volumetric MR Spectroscopy Imaging: A Hybrid PET/MRI Study
  • Performance of 18F-Fluoro-Ethyl-Tyrosine (18F-FET) PET for the Differential Diagnosis of Primary Brain Tumor: A Systematic Review and Metaanalysis
  • Imaging biomarkers of brain tumour margin and tumour invasion
  • Imaging biomarkers of angiogenesis and the microvascular environment in cerebral tumours
  • Multimodality Assessment of Brain Tumors and Tumor Recurrence
  • Classification of Peritumoral Fiber Tract Alterations in Gliomas Using Metabolic and Structural Neuroimaging
  • Value of 1H-magnetic resonance spectroscopy chemical shift imaging for detection of anaplastic foci in diffusely infiltrating gliomas with non-significant contrast-enhancement
  • Molecular Imaging: 18F-FDG PET and a Whole Lot More
  • Google Scholar

More in this TOC Section

  • Feasibility of Ultra-Low-Activity 18F-FDG PET/CT Imaging Using a Long–Axial-Field-of-View PET/CT System
  • Cardiac Presynaptic Sympathetic Nervous Function Evaluated by Cardiac PET in Patients with Chronotropic Incompetence Without Heart Failure
  • Validation and Evaluation of a Vendor-Provided Head Motion Correction Algorithm on the uMI Panorama PET/CT System
Show more Clinical Investigations

Similar Articles

SNMMI

© 2025 SNMMI

Powered by HighWire