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 ArticleNeurology

Glucose Metabolic Profile by Visual Assessment Combined with Statistical Parametric Mapping Analysis in Pediatric Patients with Epilepsy

Yuankai Zhu, Jianhua Feng, Shuang Wu, Haifeng Hou, Jianfeng Ji, Kai Zhang, Qing Chen, Lin Chen, Haiying Cheng, Liuyan Gao, Zexin Chen, Hong Zhang and Mei Tian
Journal of Nuclear Medicine August 2017, 58 (8) 1293-1299; DOI: https://doi.org/10.2967/jnumed.116.187492
Yuankai Zhu
1Department of Nuclear Medicine, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
2Zhejiang University Medical PET Center, Hangzhou, China
3Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
4Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jianhua Feng
5Department of Pediatrics, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shuang Wu
1Department of Nuclear Medicine, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
2Zhejiang University Medical PET Center, Hangzhou, China
3Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
4Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Haifeng Hou
1Department of Nuclear Medicine, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
2Zhejiang University Medical PET Center, Hangzhou, China
3Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
4Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jianfeng Ji
1Department of Nuclear Medicine, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
2Zhejiang University Medical PET Center, Hangzhou, China
3Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
4Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kai Zhang
1Department of Nuclear Medicine, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
2Zhejiang University Medical PET Center, Hangzhou, China
3Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
4Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Qing Chen
1Department of Nuclear Medicine, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
2Zhejiang University Medical PET Center, Hangzhou, China
3Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
4Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lin Chen
1Department of Nuclear Medicine, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
2Zhejiang University Medical PET Center, Hangzhou, China
3Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
4Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Haiying Cheng
5Department of Pediatrics, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Liuyan Gao
5Department of Pediatrics, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Zexin Chen
6Department of Clinical Epidemiology & Biostatistics, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hong Zhang
1Department of Nuclear Medicine, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
2Zhejiang University Medical PET Center, Hangzhou, China
3Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
4Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mei Tian
1Department of Nuclear Medicine, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
2Zhejiang University Medical PET Center, Hangzhou, China
3Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
4Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

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

    Comparison between visual and SPM analysis of 18F-FDG PET images. (A) Hypermetabolism in bilateral frontal lobes (solid arrow) was detected by both visual and SPM analysis. (B) Hypometabolism in left temporal lobe (solid arrow) was detected by both visual and SPM analysis. (C) Hypometabolism was found in left rolandic area (dashed arrow) by visual assessment, and hypermetabolic region was further identified in right rolandic area (solid arrow) by SPM analysis. (D) Hypometabolic region undetected by visual assessment was identified in left mesial temporal lobe (solid arrow) by SPM analysis.

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

    Clinical value of 18F-FDG PET in severity and outcome of pediatric epilepsy. (A) In patients with hypometabolism (n = 55), severe group had higher value of |AI| than mild and moderate groups (P = 0.001 and 0.030, respectively). (B) In patients with hypermetabolism (n = 24), severe group had higher value of |AI| than mild group (P = 0.002) and slightly higher value than moderate group (P = 0.051). (C) On the basis of follow-up, in patients with hypometabolism, drug-resistant patients had higher values of |AI| than seizure-free patients (P = 0.002). (D) In patients with hypermetabolism, drug-resistant patients had slightly higher values of |AI| than seizure-free patients (P = 0.209).

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

    Metabolic features of rolandic epilepsy. (A) Hypermetabolism was found in left rolandic area (solid arrow). (B) Hypometabolic regions were found in right frontal and temporal lobes and rolandic areas (dashed arrow). (C) Hypermetabolism (solid arrow) with associated surrounding hypometabolism (dashed arrow) was observed in left rolandic area. (D) Hypermetabolism and its associated remote hypometabolism were found in left (solid arrow) and right (dashed arrow) rolandic areas, respectively.

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

    Interictal 18F-FDG PET and MRI studies of 14-y-old girl who experienced 6 times of right hemifacial contraction with drooling during a 4-mo time. 18F-FDG PET image (A) and PET/MR image (B) coregistration guided second reading of MR images, in which previously missed cortical thickening in the left parietal lobe (solid arrow) on T1-weighted image (C) was detected.

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

    Diagnostic value of 18F-FDG PET imaging during clinical course of pediatric epilepsy. (A) Patients with add-on therapy after 18F-FDG PET study had higher values of |AI| than those with unchanged therapy or withdrawal (P = 0.006 and <0.001, respectively), but no significant difference in |AI| was found between patients with unchanged therapy and those at withdrawal (P = 1.0). (B) Improvement course was defined as remaining seizure-free throughout follow-up of patients in moderate or severe groups; and persistence or progression course was defined as being drug-resistant throughout follow-up. Patients with persistence or progression course had slightly higher values of |AI| than those with improvement (P = 0.051). (C) Of 11 patients who also underwent post-1-y follow-up PET scans, significant change of |AI| (%) was found in patients with clinical improvement compared than with persistence or progression (P = 0.005). n.s. = not significant.

Tables

  • Figures
  • Additional Files
    • View popup
    TABLE 1

    Comparisons of EEG, 18F-FDG PET, and MRI Findings in Pediatric Epilepsy Patients (n = 100)

    18F-FDG PET findings*MRI findings†
    EEG findingsNormalAbnormalNormalAbnormalTotal
    Normal54729
    Abnormal1675543791
    Total21796139100
    • ↵* κ = 0.237, P = 0.008.

    • ↵† κ = 0.051, P = 0.279.

    • View popup
    TABLE 2

    Comparison between Visual Assessment and SPM Analysis of 18F-FDG PET Studies in Pediatric Epilepsy Patients (n = 100)

    SPM analysis
    Visual assessmentNormalHypometabolismHypermetabolismTotal
    Normal216330
    Hypometabolism8411463
    Hypermetabolism0077
    Total294724100
    • κ = 0.483, P < 0.001.

    • View popup
    TABLE 3

    Clinical Characteristics and 18F-FDG PET Findings in Pediatric Epilepsy Patients (n = 100)

    Clinical characteristicAbnormal (n = 79)Normal (n = 21)P
    Sex0.745
     Female/male37/429/12
    Age (y)10.3 ± 2.010.8 ± 2.00.293
    Age of onset (y)6.7 ± 2.67.7 ± 2.50.149
    Duration of epilepsy (y)3.6 ± 2.43.2 ± 2.10.713
    Seizure frequency (times/y)6.0 ± 13.41.0 ± 1.40.034
    Seizure severity0.026
     Mild27 (19/8)12
     Moderate28 (16/12)7
     Severe24 (20/4)2
    Time since last seizure0.010
     1 d to 1 m38 (25/13)3
     1 m to 1 y14 (11/3)6
     1 y27 (19/8)12
    Antiepileptic drug0.127
     Drug naive11 (7/4)3
     Single drug35 (25/10)14
     Combined drugs33 (23/10)4
    • *Data in parentheses refer to number of patients with hypo- vs. hypermetabolism.

    • View popup
    TABLE 4

    Correlation Between |AI| and Clinical Severity in Pediatric Epilepsy Patients with Abnormal Glucose Metabolism (n = 79)

    Seizure frequencyTime since last seizure
    Abnormal metabolismrsPrsP
    Hypometabolism (n = 55)0.516<0.001−0.477<0.001
    Hypermetabolism (n = 24)0.6530.001−0.6210.001

Additional Files

  • Figures
  • Tables
  • Supplemental Data

    Files in this Data Supplement:

    • Supplemental Data
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 58 (8)
Journal of Nuclear Medicine
Vol. 58, Issue 8
August 1, 2017
  • 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.
Glucose Metabolic Profile by Visual Assessment Combined with Statistical Parametric Mapping Analysis in Pediatric Patients with Epilepsy
(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
Glucose Metabolic Profile by Visual Assessment Combined with Statistical Parametric Mapping Analysis in Pediatric Patients with Epilepsy
Yuankai Zhu, Jianhua Feng, Shuang Wu, Haifeng Hou, Jianfeng Ji, Kai Zhang, Qing Chen, Lin Chen, Haiying Cheng, Liuyan Gao, Zexin Chen, Hong Zhang, Mei Tian
Journal of Nuclear Medicine Aug 2017, 58 (8) 1293-1299; DOI: 10.2967/jnumed.116.187492

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Glucose Metabolic Profile by Visual Assessment Combined with Statistical Parametric Mapping Analysis in Pediatric Patients with Epilepsy
Yuankai Zhu, Jianhua Feng, Shuang Wu, Haifeng Hou, Jianfeng Ji, Kai Zhang, Qing Chen, Lin Chen, Haiying Cheng, Liuyan Gao, Zexin Chen, Hong Zhang, Mei Tian
Journal of Nuclear Medicine Aug 2017, 58 (8) 1293-1299; DOI: 10.2967/jnumed.116.187492
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
    • DISCLOSURE
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF

Related Articles

  • This Month in JNM
  • PubMed
  • Google Scholar

Cited By...

  • Mitochondrial Glutamine Metabolism Drives Epileptogenesis in Primary Hippocampal Neurons
  • Clinical Value of Hybrid TOF-PET/MR Imaging-Based Multiparametric Imaging in Localizing Seizure Focus in Patients with MRI-Negative Temporal Lobe Epilepsy
  • Google Scholar

More in this TOC Section

Neurology

  • Dopamine D1 Receptor Agonist PET Tracer Development: Assessment in Nonhuman Primates
  • Hypermetabolism on Pediatric PET Scans of Brain Glucose Metabolism: What Does It Signify?
  • TauIQ: A Canonical Image Based Algorithm to Quantify Tau PET Scans
Show more Neurology

Clinical

  • Addition of 131I-MIBG to PRRT (90Y-DOTATOC) for Personalized Treatment of Selected Patients with Neuroendocrine Tumors
  • SUVs Are Adequate Measures of Lesional 18F-DCFPyL Uptake in Patients with Low Prostate Cancer Disease Burden
  • Hypermetabolism on Pediatric PET Scans of Brain Glucose Metabolism: What Does It Signify?
Show more Clinical

Similar Articles

Keywords

  • epilepsy
  • glucose metabolism
  • positron emission tomography (PET)
  • statistical parametric mapping (SPM)
SNMMI

© 2025 SNMMI

Powered by HighWire