Predicting 2-year time to progression in diffuse large B cell lymphoma using 3D CNNs on whole-body PET/CT scans
The 3D CNN models remained predictive of outcome on all external test datasets, outperforming the IPI. Although these models perform similarly to the MIP-CNN, the main advantage of the 3D CNN is the use of 3D occlusion maps to better understand the decision-making process of the models.
Authors
- Christine Hanoun
- Sándor Czibor (ORCID: https://orcid.org/0000-0002-7679-3137)
- Martijn W. Heymans (ORCID: https://orcid.org/0000-0002-3889-0921)
- Martine E.D. Chamuleau (ORCID: https://orcid.org/0000-0002-0123-9182)
- Tamás Györke (ORCID: https://orcid.org/0000-0002-8772-9931)
- Luca Ceriani (ORCID: https://orcid.org/0000-0002-6371-097X)
- Lars Kurch (ORCID: https://orcid.org/0000-0002-3396-4880)
- Ronald Boellaard (ORCID: https://orcid.org/0000-0002-0313-5686)
- Jakoba J. Eertink
- Sally F. Barrington (ORCID: https://orcid.org/0000-0002-2516-5288)
- N. George Mikhaeel (ORCID: https://orcid.org/0000-0003-0359-0328)
- Josée M. Zijlstra (ORCID: https://orcid.org/0000-0003-1074-5922)
- Pieternella J. Lugtenburg (ORCID: https://orcid.org/0000-0002-6735-8651)
- Sandeep S.V. Golla (ORCID: https://orcid.org/0000-0002-0721-7160)
- Gerben J.C. Zwezerijnen (ORCID: https://orcid.org/0000-0002-9571-9362)
- Sanne E. Wiegers (ORCID: https://orcid.org/0000-0003-3698-8121)
- Maria C. Ferrández (ORCID: https://orcid.org/0009-0007-6084-5266)
- Andreas Hüttmann (ORCID: https://orcid.org/0000-0003-2230-3873)
- Ulrich Dührsen (ORCID: https://orcid.org/0000-0002-4034-9472)
- Emanuele Zucca (ORCID: https://orcid.org/0000-0002-5522-6109)
Institutions
- Semmelweis University (HU)
- King's College London (GB)
- Dutch Cancer Society (NL)
- London Cancer (GB)
- Amsterdam Neuroscience (NL)
- Kings Health Partners (GB)
- King's College School (GB)
- Swiss Group For Clinical Cancer Research (CH)
- GGD Amsterdam (NL)
- Erasmus MC Cancer Institute (NL)
- Amsterdam University Medical Centers (NL)
- Cancer Center Amsterdam (NL)
- University of Duisburg-Essen (DE)
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- EJNMMI Research
- Published
- 2025-11-28
- DOI
- https://doi.org/10.1186/s13550-025-01336-1
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00