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

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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    "title": "LyROI \u2013 nnU-Net-based Lymphoma Total Metabolic Tumor Volume Delineation", 
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        "affiliation": "Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany", 
        "name": "Nikulin, Pavel"
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        "affiliation": "Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany", 
        "name": "Apostolova, Ivayla"
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        "orcid": "0000-0002-7195-9927", 
        "affiliation": "Department of Positron Emission Tomography, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany", 
        "name": "Maus, Jens"
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      {
        "affiliation": "Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany", 
        "name": "H\u00fcttmann, Andreas"
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      {
        "affiliation": "Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany", 
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    "description": "<p>Collection of neural network models for metabolic tumor volume delineation 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 [<sup>18</sup>F]FDG-PET/CT scans from 716 patients with Non-Hodgkin&nbsp;lymphoma participating in the <a href=\"https://doi.org/10.1200/jco.2017.76.8093\">PETAL</a> trial.</p>\n\n<p>For installation and usage instructions, please visit <a href=\"http://github.com/hzdr-MedImaging/LyROI\">https://github.com/hzdr-MedImaging/LyROI</a></p>\n\n<p>Please cite&nbsp;<a href=\"https://www.nature.com/articles/s41592-020-01008-z\">nnU-Net</a>&nbsp;and the <a href=\"https://link.springer.com/article/10.1007/s00259-026-07810-9\">respective paper</a> when using LyROI.</p>\n\n<p>&nbsp;</p>\n\n<p>List of models:</p>\n\n<ul>\n\t<li>PET/CT:\n\t<ul>\n\t\t<li><code>LyROI_Orig.zip</code>: regular U-Net</li>\n\t\t<li><code>LyROI_ResM.zip</code>: residual encoder U-Net (medium)</li>\n\t\t<li><code>LyROI_ResL.zip</code>: residual encoder U-Net (large)</li>\n\t</ul>\n\t</li>\n\t<li>PET-only:\n\t<ul>\n\t\t<li><code>LyROI_PET_Orig.zip</code>: regular U-Net</li>\n\t\t<li><code>LyROI_PET_ResM.zip</code>: residual encoder U-Net (medium)</li>\n\t\t<li><code>LyROI_PET_ResL.zip</code>: residual encoder U-Net (large)</li>\n\t</ul>\n\t</li>\n</ul>", 
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Publication date:
November 26, 2025
DOI:
10.14278/rodare.4621

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Keyword(s):
FDG PET Total Metabolic Tumor Volume TMTV Non-Hodgkin Lymphoma Convolutional Neural Network Delineation
Related identifiers:
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 1.1.0 10.14278/rodare.4621 Nov 26, 2025
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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