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
  • Log out
  • My Cart

Search

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

Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non–Small Cell Lung Cancer

Florent Tixier, Mathieu Hatt, Clemence Valla, Vincent Fleury, Corinne Lamour, Safaa Ezzouhri, Pierre Ingrand, Remy Perdrisot, Dimitris Visvikis and Catherine Cheze Le Rest
Journal of Nuclear Medicine August 2014, 55 (8) 1235-1241; DOI: https://doi.org/10.2967/jnumed.113.133389
Florent Tixier
1Nuclear Medicine, CHU Milétrie, Poitiers, France
2INSERM, UMR 1101, LaTIM, Brest, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mathieu Hatt
2INSERM, UMR 1101, LaTIM, Brest, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Clemence Valla
1Nuclear Medicine, CHU Milétrie, Poitiers, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Vincent Fleury
1Nuclear Medicine, CHU Milétrie, Poitiers, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Corinne Lamour
3Department of Oncology, CHU Milétrie, Poitiers, France; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Safaa Ezzouhri
1Nuclear Medicine, CHU Milétrie, Poitiers, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pierre Ingrand
4Epidemiology and Biostatistics, CIC Inserm 1402, CHU Milétrie, Poitiers, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Remy Perdrisot
1Nuclear Medicine, CHU Milétrie, Poitiers, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dimitris Visvikis
2INSERM, UMR 1101, LaTIM, Brest, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Catherine Cheze Le Rest
1Nuclear Medicine, CHU Milétrie, Poitiers, France
  • 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.

    Illustration of primary lung tumors with Hvisu values of 1, 2, and 3 (A, B, and C, respectively). Green contours are FLAB delineations, and examples of features are provided (values normalized between 0 and 1).

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

    Illustration of distributions of homogeneity (A) and ZP (B) according to 3 levels of Hvisu.

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

    Examples of survival curves for OS (n = 102) according to stage (A), SUVmax (B), Hvisu (C), and ZP (D).

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

    Survival curves for OS (n = 102) with stratification obtained according to combination of MATV, entropy, and ZP.

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

    Differentiation of 4 different OS groups using MATV alone (A) or MATV (B) and substratification with entropy.

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

    Examples of survival curves for RFS (n = 48) according to Hvisu (A) and dissimilarity (B).

Tables

  • Figures
  • Additional Files
    • View popup
    TABLE 1

    Patient Characteristics (n = 102)

    Characteristicn
    Sex
     Male79 (78)
     Female23 (22)
    Age (y)
     Range48–84
     Median ± SD64 ± 8.9
    Smoker
     No16 (16)
     Yes86 (84)
    Treatment
     Surgery only18 (18)
     Chemotherapy only12 (12)
     Radiotherapy only0 (0)
     Surgery + chemotherapy20 (19)
     Surgery + radiotherapy1 (1)
     Chemotherapy + radiotherapy42 (41)
     Chemotherapy + radiotherapy + surgery9 (9)
    TNM stage
     T113 (13)
     T255 (53)
     T321 (21)
     T413 (13)
     N032 (31)
     N123 (23)
     N229 (28)
     N318 (18)
     M0102 (100)
     M10 (0)
    Clinical stage
     I18 (18)
     II30 (29)
     III54 (53)
     IV0 (0)
    Histology
     Adenocarcinoma53 (52)
     Squamous cell carcinoma49 (48)
    • Data in parentheses are percentages.

    • View popup
    TABLE 2

    OS Analysis (n = 102)

    ParameterUnivariate PMultivariate P
    Clinical
     Surgery0.006—
     Age0.03—
     Sex0.02—
     Smoker0.9—
     Histology0.3—
     Stage0.001<0.03
    SUV and volumetric0.009—
     SUVmax
     SUVmean0.008—
     MATV<0.00010.0001
     TLG0.0010.006
    Global heterogeneity
     SUVCOV0.4—
     CHAUC0.9—
    Visual heterogeneity
     Hvisu ≥ 21—
     Hvisu = 31—
    Local heterogeneity (TF)
     Entropy<0.00010.0001
     Homogeneity0.0080.03
     Dissimilarity0.0070.01
    Regional heterogeneity (TF)
     HIE0.9—
     SZV<0.00010.0002
     ZP<0.00010.0001
    • View popup
    TABLE 3

    RFS Analysis (n = 48)

    ParameterUnivariate P
    Clinical
     Age0.9
     Sex0.2
     Smoker0.1
     Histology0.7
     Stage0.1
    SUV and volumetric
     SUVmax1
     SUVmean0.6
     MATV0.001
     TLG0.03
    Visual heterogeneity
     Hvisu ≥ 21
     Hvisu = 30.3
    Global heterogeneity
     SUVcov1
     CHAUC0.8
    Local heterogeneity (TF)
     Entropy0.004
     Homogeneity0.005
     Dissimilarity0.001
    Regional heterogeneity (TF)
     HIE0.7
     SZV0.004
     ZP0.004

Additional Files

  • Figures
  • Tables
  • Supplemental Data

    Files in this Data Supplement:

    • Supplemental Data
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 55 (8)
Journal of Nuclear Medicine
Vol. 55, Issue 8
August 1, 2014
  • 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.
Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non–Small Cell Lung Cancer
(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
Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non–Small Cell Lung Cancer
Florent Tixier, Mathieu Hatt, Clemence Valla, Vincent Fleury, Corinne Lamour, Safaa Ezzouhri, Pierre Ingrand, Remy Perdrisot, Dimitris Visvikis, Catherine Cheze Le Rest
Journal of Nuclear Medicine Aug 2014, 55 (8) 1235-1241; DOI: 10.2967/jnumed.113.133389

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non–Small Cell Lung Cancer
Florent Tixier, Mathieu Hatt, Clemence Valla, Vincent Fleury, Corinne Lamour, Safaa Ezzouhri, Pierre Ingrand, Remy Perdrisot, Dimitris Visvikis, Catherine Cheze Le Rest
Journal of Nuclear Medicine Aug 2014, 55 (8) 1235-1241; DOI: 10.2967/jnumed.113.133389
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...

  • Heterogeneity in Metastatic Breast Cancer 18F-Fluoroestradiol Uptake: Clinically Actionable, Biologically Illuminating?
  • Understanding Changes in Tumor Texture Indices in PET: A Comparison Between Visual Assessment and Index Values in Simulated and Patient Data
  • Radiomics in PET/CT: More Than Meets the Eye?
  • The Impact of Optimal Respiratory Gating and Image Noise on Evaluation of Intratumor Heterogeneity on 18F-FDG PET Imaging of Lung Cancer
  • Comparison of Tumor Uptake Heterogeneity Characterization Between Static and Parametric 18F-FDG PET Images in Non-Small Cell Lung Cancer
  • Pretreatment 18F-FDG PET Textural Features in Locally Advanced Non-Small Cell Lung Cancer: Secondary Analysis of ACRIN 6668/RTOG 0235
  • Primary tumour standardised uptake value is prognostic in nonsmall cell lung cancer: a multivariate pooled analysis of individual data
  • Impact of Image Reconstruction Settings on Texture Features in 18F-FDG PET
  • 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

Keywords

  • 18FDG-PET/CT
  • heterogeneity
  • textural features
  • prognosis
  • NSCLC
SNMMI

© 2025 SNMMI

Powered by HighWire