Radiomics and 256-slice-dual-energy CT in the automated diagnosis of mild acute pancreatitis: the innovation of formal methods and high-resolution CT
Our model was reliable to automatically detect mild AP at primary diagnosis even in uncertain presentation and it will be tested prospectively in clinical practice.
Authors
- Antonella Santone (ORCID: https://orcid.org/0000-0002-2634-4456)
- Luca Viganò (ORCID: https://orcid.org/0000-0002-4108-4832)
- Luca Brunese (ORCID: https://orcid.org/0000-0002-4666-0544)
- Dalila De Lucia
- Pasquale Avella (ORCID: https://orcid.org/0000-0003-4910-5404)
- Maria Chiara Brunese
- Fabio Bellifemine
- Giulia Varriano (ORCID: https://orcid.org/0000-0003-2489-6158)
- Corrado Caiazzo (ORCID: https://orcid.org/0000-0002-3584-2692)
- Aldo Rocca (ORCID: https://orcid.org/0000-0003-3807-3865)
- Marco Di Serafino (ORCID: https://orcid.org/0000-0001-6972-1859)
- Giulia Pacella
- Gianfranco Vallone
- Luigia Romano
- Francesca De Chiara
Institutions
- University of Molise (IT)
- Ospedale Antonio Cardarelli (IT)
- Humanitas Gavazzeni (IT)
- University of Campania "Luigi Vanvitelli" (IT)
Publication Details
- Journal
- La radiologia medica
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1007/s11547-024-01878-9
- Citations
- 10
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 2.83
Funders
- Università degli Studi del Molise