Addressing intra‐ and inter‐institution variability of a radiomic framework based on Apparent Diffusion Coefficient in prostate cancer
By incorporating stable features with a harmonization procedure and validating the model on an external dataset, model robustness, and generalizability were assessed, highlighting the potential of ADC and radiomics for PCa characterization.
Authors
- G. Baroni (ORCID: https://orcid.org/0000-0002-5464-0164)
- Matteo Pepa (ORCID: https://orcid.org/0000-0003-1338-9556)
- Chiara Paganelli (ORCID: https://orcid.org/0000-0003-4787-8649)
- Giovanni Parrella (ORCID: https://orcid.org/0000-0002-2963-0351)
- Mattia Zaffaroni (ORCID: https://orcid.org/0000-0003-4655-4634)
- Ottavio De Cobelli (ORCID: https://orcid.org/0000-0002-0699-8620)
- Barbara Alicja Jereczek‐Fossa (ORCID: https://orcid.org/0000-0001-8151-3673)
- Paul Summers (ORCID: https://orcid.org/0000-0002-5085-1095)
- Simone Annunziata
- Giulia Marvaso (ORCID: https://orcid.org/0000-0002-5339-8038)
- Letizia Morelli (ORCID: https://orcid.org/0000-0002-5695-1767)
- Giuseppe Petralia (ORCID: https://orcid.org/0000-0003-3502-3643)
- Maria Giulia Vicini
Institutions
- University of Milan (IT)
- European Institute of Oncology (IT)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-08-22
- DOI
- https://doi.org/10.1002/mp.17355
- Citations
- 5
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.09
Funders
- Associazione Italiana per la Ricerca sul Cancro