Bayesan Model to Predict R Status After Neoadjuvant Therapy in Pancreatic Cancer
A Bayesian approach using only preoperative items is firstly used with good performance to predict R Status in pancreatic cancer patients who underwent resection after neoadjuvant therapy.
Authors
- Quoc Riccardo Bao (ORCID: https://orcid.org/0000-0003-3463-6659)
- Paolo Regi (ORCID: https://orcid.org/0000-0001-7639-039X)
- Isabella M. Frigerio (ORCID: https://orcid.org/0000-0002-7616-4226)
- F. Scopelliti (ORCID: https://orcid.org/0000-0001-5539-6653)
- Alessandro Giardino (ORCID: https://orcid.org/0000-0001-7980-5781)
- Guido Martignoni (ORCID: https://orcid.org/0000-0002-7761-7274)
- Darío Gregori (ORCID: https://orcid.org/0000-0001-7906-0580)
- Gaya Spolverato (ORCID: https://orcid.org/0000-0002-7275-2573)
- Elisa Bannone (ORCID: https://orcid.org/0000-0001-5393-6783)
- Danila Azzolina (ORCID: https://orcid.org/0000-0002-8185-5742)
- Giulia Lorenzoni (ORCID: https://orcid.org/0000-0003-1771-4686)
- Giovanni Butturini (ORCID: https://orcid.org/0000-0002-9172-4885)
- R. Girelli (ORCID: https://orcid.org/0000-0002-5521-6218)
Institutions
- University of Padua (IT)
- Społeczna Akademia Nauk (PL)
- Casa di Cura Villa Garda (IT)
Publication Details
- Journal
- Cancers
- Published
- 2024-12-07
- DOI
- https://doi.org/10.3390/cancers16234106
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00