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

Tumor Volume Assessment by 18F-FDG PET/CT in Patients with Oral Cavity Cancer with Dental Artifacts on CT or MR Images

Chung-Hwan Baek, Man Ki Chung, Young-Ik Son, Joon Young Choi, Hyung-Jin Kim, Yoo Jeong Yim, Young Hyeh Ko, Jeesun Choi, Jae Keun Cho and Han-Sin Jeong
Journal of Nuclear Medicine September 2008, 49 (9) 1422-1428; DOI: https://doi.org/10.2967/jnumed.108.051649
Chung-Hwan Baek
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Man Ki Chung
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Young-Ik Son
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joon Young Choi
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hyung-Jin Kim
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yoo Jeong Yim
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Young Hyeh Ko
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jeesun Choi
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jae Keun Cho
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Han-Sin Jeong
  • 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. 

    54-y-old male patient with squamous cell carcinomas of right retromolar area who underwent CT, MRI, and PET/CT scans during initial evaluation of tumor. In contrast-enhanced CT images (A) and in gadolinium-enhanced, fat-suppressed T1-weighted MR images (B), primary tumor was not identified because of metallic artifacts caused by nonremovable dentures. However, in CT-attenuated PET images (C), lesion showed asymmetric glucose uptake at peak SUV of 4.2 in right retromolar trigone and adjacent mandible and then finally was diagnosed as T4 oral cancer. (D) Pathologic examination revealed 5.5-cm-sized squamous cell carcinomas of retromolar trigone that invaded mandible.

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

    Regression equation between log (PET/CTSUV 3.5 volume) and log (pathologic volume) was log (pathologic volume) = 0.6041 × log (PET/CTSUV 3.5 volume) + 1.3046. Correlation coefficient (R) and coefficient of determination (R2) were 0.645 and 0.416, suggesting acceptable correlation between 2 variables. vol. = volume.

Tables

  • Figures
    • View popup
    TABLE 1

    Characteristics of OCC Patients With and Without Dental Artifacts

    No. of Patients with OCC (%)
    CharacteristicWith artifacts (n = 64)Without artifacts (n = 40)
    M:F41:23 (64.1%:35.9%)31:9 (77.5%:22.5%)
    Age (y)
     Mean ± SD53.9 ± 10.754.5 ± 11.6
     Range22–7529–75
    Primary tumor site
     Tongue51 (79.7)27 (67.5)
     Floor of mouth4 (6.3)5 (12.5)
     Buccal mucosa3 (4.7)5 (12.5)
     Retromolar trigone3 (4.7)1 (2.5)
     Hard palate2 (3.1)1 (2.5)
     Lip1 (1.6)1 (2.5)
    Pathologic T stage
     T129 (45.3)14 (35)
     T225 (39.1)17 (42.5)
     T34 (6.3)6 (15)
     T46 (9.4)3 (7.5)
    Pathologic N stage
     N037 (57.8)20 (50)
     N19 (14.1)7 (17.5)
     N217 (26.6)13 (32.5)
     N31 (1.6)0
    Data for analysis
     PET/CT64 (100)40 (100)
     CT64 (100)27 (67.5)
     MRI27 (42.2)22 (55)
     Serial pathologic analysis64 (100)40 (100)
    • View popup
    TABLE 2

    Overall Performance of Diagnostic Imaging Modalities for Detection of Primary Tumors in Oral Cavity in Patients with Dental Artifacts

    ComparisonPET/CTCTMRIP*
    PET/CT vs. CT (n = 64)61/64 (95.3%)48/64 (75.0%)—0.0016
    PET/CT vs. CT vs. MRI (n = 27)26/27 (96.3%)21/27 (77.8%)23/27 (85.2%)PET/CT vs. CT, 0.1764; PET/CT vs. MRI, 0.5391; CT vs. MRI, 1.00
    • ↵* Statistical analysis by McNemar test with Bonferroni adjustment.

    • Data are number of identified tumors divided by total number of tumors.

    • View popup
    TABLE 3

    Tumor Volume Assessment from Each Imaging Modality

    No. of patientsEstimated volume (cm3)Pathologic volume (cm3)Difference between estimated and pathologic volumes (P)Correlation
    GroupDiagnostic toolRR2
    With artifacts61PET/CT (SUV = 2.5)17.0 ± 24.59.2 ± 15.40.0380.760.58
    PET/CT (SUV = 3.0)13.3 ± 21.20.220.750.57
    PET/CT (SUV = 3.5)10.8 ± 18.10.60.760.58
    48CT3.6 ± 6.910.7 ± 16.20.00630.690.48
    23MRI5.1 ± 8.312.5 ± 15.50.0490.630.39
    Without artifacts40PET/CT (SUV = 2.5)13.0 ± 14.39.6 ± 14.50.290.740.54
    PET/CT (SUV = 3.0)10.3 ± 12.10.820.750.56
    PET/CT (SUV = 3.5)9.5 ± 11.60.970.670.45
    27CT3.6 ± 3.37.8 ± 8.80.0240.510.26
    22MRI6.2 ± 5.511.2 ± 10.10.0480.610.37
    • R = correlation coefficient; R2 = coefficient of determination.

    • View popup
    TABLE 4

    Subgroup Analysis

    No. of patientsPET/CTSUV 3.5 volume (cm3)Pathologic volume (cm3)Log (PET/CTSUV 3.5 volume, mm3)Log (pathologic volume, mm3)Correlation
    SubgroupRR2
    Total6110.8 ± 18.19.2 ± 15.43.47 ± 0.923.4 ± 0.860.650.42
    T stage
     T1273.1 ± 4.91.6 ± 2.33.02 ± 0.722.72 ± 0.760.730.53
     T2248.1 ± 6.57.0 ± 5.43.73 ± 0.573.71 ± 0.320.50.25
     T3–T41038.2 ± 31.334.8 ± 24.34.44 ± 0.314.44 ± 0.310.760.58
    Depth of tumor
     <1 cm221.7 ± 2.30.87 ± 1.12.84 ± 0.662.52 ± 0.680.60.37
     1–2 cm2911.8 ± 14.17.2 ± 6.83.81 ± 0.583.72 ± 0.340.650.42
     >2 cm1027.9 ± 32.133.2 ± 24.94.31 ± 0.434.44 ± 0.340.850.72
    • Data are mean ± SD. PET/CTSUV 3.5 volume = tumor volume calculated in PET/CT with cutoff point of SUV = 3.5; R = correlation coefficient; R2 = coefficient of determination.

PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 49 (9)
Journal of Nuclear Medicine
Vol. 49, Issue 9
September 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.
Tumor Volume Assessment by 18F-FDG PET/CT in Patients with Oral Cavity Cancer with Dental Artifacts on CT or MR Images
(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
Tumor Volume Assessment by 18F-FDG PET/CT in Patients with Oral Cavity Cancer with Dental Artifacts on CT or MR Images
Chung-Hwan Baek, Man Ki Chung, Young-Ik Son, Joon Young Choi, Hyung-Jin Kim, Yoo Jeong Yim, Young Hyeh Ko, Jeesun Choi, Jae Keun Cho, Han-Sin Jeong
Journal of Nuclear Medicine Sep 2008, 49 (9) 1422-1428; DOI: 10.2967/jnumed.108.051649

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Tumor Volume Assessment by 18F-FDG PET/CT in Patients with Oral Cavity Cancer with Dental Artifacts on CT or MR Images
Chung-Hwan Baek, Man Ki Chung, Young-Ik Son, Joon Young Choi, Hyung-Jin Kim, Yoo Jeong Yim, Young Hyeh Ko, Jeesun Choi, Jae Keun Cho, Han-Sin Jeong
Journal of Nuclear Medicine Sep 2008, 49 (9) 1422-1428; DOI: 10.2967/jnumed.108.051649
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...

  • Positron emission tomography (PET) attenuation correction artefacts in PET/CT and PET/MRI
  • 18F-FDG PET/CT Metabolic Tumor Volume and Total Lesion Glycolysis Predict Outcome in Oropharyngeal Squamous Cell Carcinoma
  • Google Scholar

More in this TOC Section

  • 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
  • An Investigation of Lesion Detection Accuracy for Artificial Intelligence–Based Denoising of Low-Dose 64Cu-DOTATATE PET Imaging in Patients with Neuroendocrine Neoplasms
Show more Clinical Investigations

Similar Articles

SNMMI

© 2025 SNMMI

Powered by HighWire