Spatial imaging features derived from SUVmax location in resectable NSCLC are associated with tumor aggressiveness
EPS is a biologically relevant, non-invasive imaging biomarker that may improve risk stratification in NSCLC.
Authors
- Clemens P. Spielvogel (ORCID: https://orcid.org/0000-0002-4409-8324)
- Lilla Horváth (ORCID: https://orcid.org/0000-0002-2089-1440)
- Josef Yu (ORCID: https://orcid.org/0000-0003-1426-1538)
- Péter Molnár (ORCID: https://orcid.org/0000-0002-2508-2343)
- Lukas Kenner (ORCID: https://orcid.org/0000-0003-2184-1338)
- Marcus Hacker (ORCID: https://orcid.org/0000-0002-4222-4083)
- F Rényi-Vámos
- Christian Lang (ORCID: https://orcid.org/0000-0003-3779-4126)
- Szabolcs Szakáll
- Balázs Döme (ORCID: https://orcid.org/0000-0001-8799-8624)
- János Fillinger (ORCID: https://orcid.org/0000-0003-1877-8702)
- Clemens Aigner (ORCID: https://orcid.org/0000-0002-7787-991X)
- Maximilian Krisch
- Zewen Jiang (ORCID: https://orcid.org/0009-0005-0172-868X)
- David Haberl
- Zsolt Megyesfalvi
Institutions
- Semmelweis University (HU)
- University of Veterinary Medicine Vienna (AT)
- Lund University (SE)
- Comprehensive Cancer Center Vienna (AT)
- Pozitron-Diagnosztika Kft (HU)
- Christian Doppler Laboratory for Thermoelectricity (AT)
- National Institute of Oncology (HU)
- Országos Korányi Tbc és Pulmonológiai Intézet (HU)
- Medical University of Vienna (AT)
- Umeå University (SE)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2025-08-21
- DOI
- https://doi.org/10.1007/s00259-025-07528-0
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung
- Universität Wien
- Medizinische Universität Wien
- Christian Doppler Forschungsgesellschaft
- Siemens Healthineers
- Bundesministerium für Digitalisierung und Wirtschaftsstandort