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 Investigation

Interim PET in Diffuse Large B-Cell Lymphoma

Lars Kurch, Andreas Hüttmann, Thomas W. Georgi, Jan Rekowski, Osama Sabri, Christine Schmitz, Regine Kluge, Ulrich Dührsen and Dirk Hasenclever
Journal of Nuclear Medicine August 2021, 62 (8) 1068-1074; DOI: https://doi.org/10.2967/jnumed.120.255034
Lars Kurch
1Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Leipzig, Leipzig, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andreas Hüttmann
2Klinik für Hämatologie, Universitätsklinikum Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Thomas W. Georgi
1Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Leipzig, Leipzig, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jan Rekowski
3Institut für Medizinische Informatik, Biometrie und Epidemiologie, Universität Duisburg-Essen, Duisburg, Germany; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Osama Sabri
1Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Leipzig, Leipzig, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christine Schmitz
2Klinik für Hämatologie, Universitätsklinikum Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Regine Kluge
1Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Leipzig, Leipzig, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ulrich Dührsen
2Klinik für Hämatologie, Universitätsklinikum Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dirk Hasenclever
4Institut für Medizinische Informatik, Statistik und Epidemiologie, Universität Leipzig, Leipzig, Germany
  • 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
    • Download figure
    • Open in new tab
    • Download powerpoint
  • FIGURE 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1.

    Density histograms for patients with measurable residual uptake at interim PET scanning (n = 332) evaluated by qPET (A) or ΔSUVmax (B) on log scale. First and second vertical lines in A indicate published thresholds between visual Deauville scores 3 and 4 (1.3) and 4 and 5 (2.0), respectively. ΔSUVmax in B is expressed as 1 − ΔSUVmax; vertical line indicates published threshold of 0.66, here 1–0.66 = 0.34.

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

    Empirical cumulative distribution functions of qPET measurements by visual Deauville categories. Vertical lines indicate published thresholds to map qPET values to individual categories. vDS = visual Deauville score.

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

    Scatterplot of qPET and ΔSUVmax. Triangles refer to patients experiencing treatment failure, whereas circles refer to patients who remained in remission. Blue line is the principal axis illustrating correlation. PFS = progression-free survival.

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

    ROC curves of qPET and 1 − ΔSUVmax for progression-free survival.

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

    Positive predictive value (A) and negative predictive value (B) of corresponding percentiles of qPET and ΔSUVmax measurements. Constant part of curves at low percentiles is due to inclusion of nonmeasurable values set at zero (n = 117).

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

    Progression-free survival in prognostic subgroups derived from visual Deauville scale (A), quantitative Deauville scale (B), or ΔSUVmax scale (C) (Kaplan–Meier analysis). vDS = visual Deauville score; qDS = quantitative Deauville score.

  • FIGURE 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 7.

    Progression-free survival in patients with good interim PET response according to both qPET and ΔSUVmax, only qPET, or only ΔSUVmax, or with poor interim PET response according to both methods (Kaplan–Meier analysis). dSUV = ΔSUVmax.

Tables

  • Figures
  • Additional Files
    • View popup
    TABLE 1

    Baseline Characteristics of Patients Included in Present Analysis in Comparison to Excluded Patients and All DLBCL Patients Participating in PETAL Trial

    CharacteristicPatients includedPatients excludedAll patients
    No. of patients449160609
    Median age (y)62 (range, 18–80)59.5 (range, 18–79)62 (range, 18–80)
    Age > 60 y236 (52.6%)78 (48.8%)314 (51.6%)
    Male sex249 (55.5%)93 (58.1%)342 (56.2%)
    ECOG performance status ≥ 248 (10.7%)11 (6.9%)59 (9.7%)
    Ann Arbor stage III or IV258 (57.5%)100 (62.5)358 (58.8%)
    Extranodal sites > 1148 (33.0%)50 (31.2%)198 (32.6%)
    Lactate dehydrogenase > ULN257 (57.4%)78 (48.8%)335 (55.1%)
    International Prognostic Index
     Low risk160 (35.7%)64 (40.0%)224 (36.8%)
     Low-intermediate risk111 (24.8%)47 (29.4%)158 (26.0%)
     High-intermediate risk102 (22.8%)25 (15.6%)127 (20.9%)
     High risk75 (16.7%)24 (15.0%)99 (16.3%)
    • ECOG = Eastern Cooperative Oncology Group; ULN = upper limit of normal.

    • Data are given as number of patients affected, followed by percentage of total number of patients with documented data, unless otherwise noted.

    • View popup
    TABLE 2

    Comparison of Visual and Quantitative Deauville Scores

    Quantitative
    Visual12345Sum
    11170000117
    203570042
    301774220113
    40099120120
    500045357
    Sum117529011773449
    • View popup
    TABLE 3

    Positive and Negative Predictive Values and Proportion of High-Risk Patients Identified by Interim PET: Comparison of Methods and Thresholds

    Definition of high-risk patientsPPVNPVProportion of high-risk patients
    Visual Deauville score 4 or 538.4%75.4%39.4%
    Visual Deauville score 550.9%73.0%12.7%
    Quantitative Deauville score 4 or 538.4%76.1%42.3%
    Quantitative Deauville score 549.3%73.7%16.3%
    qPET ≥ 2.2654.7%73.2%11.8%
    ΔSUVmax, ≤66% SUVmax reduction56.6%73.5%11.8%
    • PPV = positive predictive value; NPV = negative predictive value.

    • View popup
    TABLE 4

    Selected Corresponding Thresholds in Categoric and Continuous Interim PET Response Scales

    vDSqPETΔSUVmax
    2/30.9591%
    3/41.3085%
    4/5273%
    52.2666%
    • vDS = visual Deauville score.

Additional Files

  • Figures
  • Tables
  • Supplemental Data

    Files in this Data Supplement:

    • Supplemental Data
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 62 (8)
Journal of Nuclear Medicine
Vol. 62, Issue 8
August 1, 2021
  • 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.
Interim PET in Diffuse Large B-Cell Lymphoma
(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
Interim PET in Diffuse Large B-Cell Lymphoma
Lars Kurch, Andreas Hüttmann, Thomas W. Georgi, Jan Rekowski, Osama Sabri, Christine Schmitz, Regine Kluge, Ulrich Dührsen, Dirk Hasenclever
Journal of Nuclear Medicine Aug 2021, 62 (8) 1068-1074; DOI: 10.2967/jnumed.120.255034

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Interim PET in Diffuse Large B-Cell Lymphoma
Lars Kurch, Andreas Hüttmann, Thomas W. Georgi, Jan Rekowski, Osama Sabri, Christine Schmitz, Regine Kluge, Ulrich Dührsen, Dirk Hasenclever
Journal of Nuclear Medicine Aug 2021, 62 (8) 1068-1074; DOI: 10.2967/jnumed.120.255034
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Visual Abstract
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • DISCLOSURE
    • ACKNOWLEDGMENTS
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF

Related Articles

  • This Month in JNM
  • PubMed
  • Google Scholar

Cited By...

  • Application of the Lugano Classification for Initial Evaluation, Staging, and Response Assessment of Hodgkin and Non-Hodgkin Lymphoma: The PRoLoG Consensus Initiative (Part 2--Technical)
  • Google Scholar

More in this TOC Section

  • 177Lu-PSMA-617 Consolidation Therapy After Docetaxel in Patients with Synchronous High-Volume Metastatic Hormone-Sensitive Prostate Cancer: A Randomized, Phase 2 Trial
  • Transarterial Radioembolization in the TACOME Trial: Dosimetric Analysis and Clinical Features in Predicting Response and Overall Survival
  • Retreatment of Metastatic Castration-Resistant Prostate Cancer Patients with 223Ra Therapy in Daily Practice
Show more Clinical Investigation

Similar Articles

Keywords

  • diffuse large B-cell lymphoma
  • PET
  • interim evaluation
  • Deauville scale
  • ΔSUVmax
  • qPET
  • PETAL trial
SNMMI

© 2025 SNMMI

Powered by HighWire