18F-FDG PET/CT Radiomics for Predicting Therapy Response in Primary Mediastinal B-Cell Lymphoma: A Bi-Centric Pilot Study
ML models trained on [<sup>18</sup>F]FDG PET/CT radiomic features in PMBLC patients could predict the Deauville score.
Authors
- Fabiana Esposito (ORCID: https://orcid.org/0000-0002-7305-7222)
- Lucrezia De Marchi
- Massimiliano Postorino (ORCID: https://orcid.org/0000-0001-6298-4242)
- Luca Urso (ORCID: https://orcid.org/0000-0002-3007-3898)
- Luca Filippi (ORCID: https://orcid.org/0000-0003-4423-5496)
- Nicoletta Urbano (ORCID: https://orcid.org/0000-0003-1822-155X)
- Giovanni Scribano (ORCID: https://orcid.org/0009-0008-5391-3176)
- Luigi Manco (ORCID: https://orcid.org/0000-0001-9338-8638)
- Roberta Gafà (ORCID: https://orcid.org/0000-0002-3271-2198)
- Mirco Bartolomei
- Antonio Cuneo (ORCID: https://orcid.org/0000-0003-2001-1308)
- Agostino Chiaravalloti (ORCID: https://orcid.org/0000-0002-8017-8858)
- Sara Adamantiadis
- Adriano Venditti (ORCID: https://orcid.org/0000-0002-0245-0553)
Institutions
- University of Rome Tor Vergata (IT)
- University of Ferrara (IT)
- Policlinico Tor Vergata (IT)
Publication Details
- Journal
- Cancers
- Published
- 2025-05-30
- DOI
- https://doi.org/10.3390/cancers17111827
- Citations
- 2
- Primary Topic
- Lymphoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.94