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LyROI – nnU-Net-based Lymphoma Total Metabolic Tumor Volume Segmentation

Nikulin, Pavel; Hoberück, Sebastian; Apostolova, Ivayla; Maus, Jens; Hüttmann, Andreas; Dührsen, Ulrich; Kroschinsky, Frank; Kotzerke, Jörg; von Bonin, Malte; Bundschuh, Ralph; Braune, Anja; Hofheinz, Frank

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  <identifier identifierType="DOI">10.14278/rodare.4177</identifier>
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    <creator>
      <creatorName>Nikulin, Pavel</creatorName>
      <givenName>Pavel</givenName>
      <familyName>Nikulin</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4568-4018</nameIdentifier>
      <affiliation>Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Hoberück, Sebastian</creatorName>
      <givenName>Sebastian</givenName>
      <familyName>Hoberück</familyName>
      <affiliation>Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Apostolova, Ivayla</creatorName>
      <givenName>Ivayla</givenName>
      <familyName>Apostolova</familyName>
      <affiliation>Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Maus, Jens</creatorName>
      <givenName>Jens</givenName>
      <familyName>Maus</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7195-9927</nameIdentifier>
      <affiliation>Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Hüttmann, Andreas</creatorName>
      <givenName>Andreas</givenName>
      <familyName>Hüttmann</familyName>
      <affiliation>Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Dührsen, Ulrich</creatorName>
      <givenName>Ulrich</givenName>
      <familyName>Dührsen</familyName>
      <affiliation>Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Kroschinsky, Frank</creatorName>
      <givenName>Frank</givenName>
      <familyName>Kroschinsky</familyName>
      <affiliation>Medical Department I, Dresden University Hospital, Dresden, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Kotzerke, Jörg</creatorName>
      <givenName>Jörg</givenName>
      <familyName>Kotzerke</familyName>
      <affiliation>Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>von Bonin, Malte</creatorName>
      <givenName>Malte</givenName>
      <familyName>von Bonin</familyName>
      <affiliation>Medical Department I, Dresden University Hospital, Dresden, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Bundschuh, Ralph</creatorName>
      <givenName>Ralph</givenName>
      <familyName>Bundschuh</familyName>
      <affiliation>Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Braune, Anja</creatorName>
      <givenName>Anja</givenName>
      <familyName>Braune</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7707-9413</nameIdentifier>
      <affiliation>Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Hofheinz, Frank</creatorName>
      <givenName>Frank</givenName>
      <familyName>Hofheinz</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8016-4643</nameIdentifier>
      <affiliation>Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany</affiliation>
    </creator>
  </creators>
  <titles>
    <title>LyROI – nnU-Net-based Lymphoma Total Metabolic Tumor Volume Segmentation</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2025</publicationYear>
  <subjects>
    <subject>FDG PET</subject>
    <subject>Total Metabolic Tumor Volume</subject>
    <subject>TMTV</subject>
    <subject>Non-Hodgkin Lymphoma</subject>
    <subject>Convolutional Neural Network</subject>
    <subject>Delineation</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2025-11-26</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/4177</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-42318</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-42236</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/hzdr-MedImaging/LyROI</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.4160</relatedIdentifier>
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  <version>1.0.1</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-sa/4.0/legalcode">Creative Commons Attribution Share Alike 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Collection of neural network models for metabolic tumor volume segmentation in (Non-Hodgkin) lymphoma patients in FDG-PET/CT images. Intended to use within nnU-Net deep learning framework. Trained with a total of 1192 [&lt;sup&gt;18&lt;/sup&gt;F]FDG-PET/CT scans from 716 patients with Non-Hodgkin&amp;nbsp;lymphoma participating in the &lt;a href="https://doi.org/10.1200/jco.2017.76.8093"&gt;PETAL&lt;/a&gt; trial.&lt;/p&gt;

&lt;p&gt;For installation and usage instructions, please visit &lt;a href="http://github.com/hzdr-MedImaging/LyROI"&gt;https://github.com/hzdr-MedImaging/LyROI&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Please cite&amp;nbsp;&lt;a href="https://www.nature.com/articles/s41592-020-01008-z"&gt;nnU-Net&lt;/a&gt;&amp;nbsp;and the respective paper when using LyROI.&lt;/p&gt;</description>
  </descriptions>
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Publication date:
November 26, 2025
DOI:
10.14278/rodare.4177

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Keyword(s):
FDG PET Total Metabolic Tumor Volume TMTV Non-Hodgkin Lymphoma Convolutional Neural Network Delineation
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Identical to:
https://www.hzdr.de/publications/Publ-42318
Referenced by:
https://www.hzdr.de/publications/Publ-42236
Supplement to:
https://github.com/hzdr-MedImaging/LyROI
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Version 1.0.1 10.14278/rodare.4177 Nov 26, 2025
Version 1.0.0 10.14278/rodare.4161 Nov 26, 2025
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