Assessment of PD-L1 expression and tumour infiltrating lymphocytes in early-stage non-small cell lung carcinoma with artificial intelligence algorithms
This preliminary study supports the use of AI algorithms for the scoring of PD-L1 and TILs in patients with NSCLC.
Authors
- Marta Alonso de la Varga (ORCID: https://orcid.org/0000-0002-3810-0176)
- Aída Molero (ORCID: https://orcid.org/0000-0003-0913-4083)
- Esther Conde (ORCID: https://orcid.org/0000-0002-0914-0988)
- Fernando López‐Ríos (ORCID: https://orcid.org/0000-0001-6813-0395)
- Melina Peressini (ORCID: https://orcid.org/0009-0008-7844-2067)
- Susana Hernández (ORCID: https://orcid.org/0000-0003-0833-1114)
- Daniel Curto (ORCID: https://orcid.org/0000-0001-6133-1864)
Institutions
- Universidad Complutense de Madrid (ES)
- Research Institute Hospital 12 de Octubre (ES)
- Hospital General De Segovia (ES)
- Hospital Universitario 12 De Octubre (ES)
- Centro de Investigación Biomédica en Red de Cáncer (ES)
Publication Details
- Journal
- Journal of Clinical Pathology
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1136/jcp-2024-209766
- Citations
- 9
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 3.64
Funders
- Roche
- Fundación Mutua Madrileña
- Comunidad de Madrid
- European Commission
- Instituto de Salud Carlos III