Radiomic-Based Machine Learning Classifiers for HPV Status Prediction in Oropharyngeal Cancer: A Systematic Review and Meta-Analysis †
Anna Luíza Damaceno Araújo, Luiz Paulo Kowalski, Alan Roger Santos-Silva, Brendo Vinícius Rodrigues Louredo, Cristina Saldivia-Siracusa, Otávio Augusto A. M. de Melo, Deivid Cabral, Andrés Coca-Pelaz, Orlando Guntinas-Lichius, Remco de Bree, Pawel Golusinski, Karthik N. Rao, Robert P. Takes, Nabil F · 2025
Read Radiomic-Based Machine Learning Classifiers for HPV Status Prediction in Oropharyngeal Cancer: A Systematic Review and Meta-Analysis † by Anna Luíza Damaceno Araújo, Luiz Paulo Kowalski, Alan Roger Santos-Silva, Brendo Vinícius Rodrigues Louredo, Cristina Saldivia-Siracusa, Otávio Augusto A. M. de Melo, Deivid Cabral, Andrés Coca-Pelaz, Orlando Guntinas-Lichius, Remco de Bree, Pawel Golusinski, Karthik N. Rao, Robert P. Takes, Nabil F (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12785904.txt.
Description
Whether a throat cancer carries a certain virus changes its treatment and outlook. Anna Luíza Damaceno Araújo and co-authors reviewed attempts to read that status from scans instead of tissue tests. They gathered twenty-four studies covering 8,627 patients, where machine learning models mined image patterns from CT, MRI, and PET scans. Only eight studies tested their models on outside data.
Accuracy swung widely between studies, and most carried a high risk of bias. Often the virus status itself rested on a single weak test, or the data leaned heavily to positive cases. Simpler classic models beat deep learning on consistency in this pool. The authors conclude the approach holds promise but is not ready for clinic use without stronger study designs.
Catalog record
| CREATOR | Anna Luíza Damaceno Araújo, Luiz Paulo Kowalski, Alan Roger Santos-Silva, Brendo Vinícius Rodrigues Louredo, Cristina Saldivia-Siracusa, Otávio Augusto A. M. de Melo, Deivid Cabral, Andrés Coca-Pelaz, Orlando Guntinas-Lichius, Remco de Bree, Pawel Golusinski, Karthik N. Rao, Robert P. Takes, Nabil F |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |