Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Oct 28, 2025

Enhancing Tumor Content through Tumor Macrodissection
10:04

Enhancing Tumor Content through Tumor Macrodissection

Published on: February 12, 2022

11.1K

Quantitative Radiomics Features in Diffuse Large B-Cell Lymphoma: Does Segmentation Method Matter?

Jakoba J Eertink1, Elisabeth A G Pfaehler2, Sanne E Wiegers1

  • 1Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands.

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|July 17, 2021
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Validation of the newly introduced Deauville Score 5a in patients treated for advanced-stage classic Hodgkin Lymphoma.

Blood advances·2026
Same author

Hodgkin lymphoma: EHA Clinical Practice Guidelines for diagnosis, treatment, and follow-up.

HemaSphere·2026
Same author

Lenalidomide-rituximab or lenalidomide-rituximab-bendamustine for relapsed/refractory follicular lymphoma: primary and final analysis of the randomized phase II HOVON110/ReBeL study.

Haematologica·2026
Same author

The impact of survivorship care on burden of disease among Hodgkin lymphoma survivors.

Journal of the National Cancer Institute·2026
Same author

Predicting long-term absolute risk of lung cancer in Hodgkin lymphoma patients.

Journal of the National Cancer Institute·2026
Same author

Small and Large Extracellular Vesicles in Circulation of Diffuse Large B-Cell Lymphoma Patients Originate From Different Cell Types of the Tumor Microenvironment.

Journal of extracellular vesicles·2026
This summary is machine-generated.

Radiomics features can predict diffuse large B-cell lymphoma (DLBCL) outcomes. Different segmentation methods yield varied radiomics features but do not significantly alter their predictive performance for DLBCL patients.

Area of Science:

  • Oncology
  • Radiology
  • Medical Imaging Analysis

Background:

  • Radiomics features show promise in predicting outcomes for diffuse large B-cell lymphoma (DLBCL).
  • Metabolic tumor volume (MTV) calculation currently employs diverse segmentation methods.
  • The impact of these segmentation methods on radiomics feature discriminative power in DLBCL is not fully understood.

Purpose of the Study:

  • To evaluate the influence of different segmentation methods on the predictive accuracy of radiomics features in DLBCL.
  • To compare radiomics feature performance at both the patient and largest lesion levels.
  • To assess the consistency and discriminative power of radiomics features across various segmentation techniques.

Main Methods:

  • Utilized 18F-FDG PET/CT scans from 100 DLBCL patients (50 with progression/relapse, 50 without).
Keywords:
18F-FDG PET/CTdiffuse large B-cell lymphomaradiomicssegmentation methods

More Related Videos

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.4K
Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma
07:52

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma

Published on: January 9, 2019

20.0K

Related Experiment Videos

Last Updated: Oct 28, 2025

Enhancing Tumor Content through Tumor Macrodissection
10:04

Enhancing Tumor Content through Tumor Macrodissection

Published on: February 12, 2022

11.1K
Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.4K
Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma
07:52

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma

Published on: January 9, 2019

20.0K
  • Applied six semiautomatic segmentation methods to define tumor volumes.
  • Extracted 490 radiomics features per patient and 486 per lesion, assessing agreement using intraclass correlation (ICC) and model performance via cross-validation.

    • Main Results:

    • Segmentation methods showed variability in derived radiomics feature values and selected features.
    • The percentage of features with ICC ≥ 0.75 varied, being lowest for 50% SUVpeak (77.3% patient-level, 66.7% lesion-level).
    • Despite variations, receiver-operating-characteristics curve integrals (predictive performance) were comparable across methods, ranging from 0.69 ± 0.11 to 0.84 ± 0.09.

    Conclusions:

    • Differences in radiomics feature values and selection exist among segmentation methods.
    • No substantial impact on the discriminative power of radiomics features for DLBCL outcome prediction was observed across methods.
    • These findings suggest flexibility in segmentation method choice without compromising predictive ability.