Pathologic assessment of resected stage <scp>III</scp> non‐small cell lung cancer after neoadjuvant chemotherapy: identification of additional prognostic factors
AI-based method can be used to accurately decipher the complexity of tumour bed stromal components, providing extra information for outcome prediction. The combination of different clinico-pathological features could be highly valuable in guiding therapeutic decisions and ultimately improve patient outcomes.
Authors
- Asuman Kilitçi (ORCID: https://orcid.org/0000-0002-5489-2222)
- Marco Schiavon (ORCID: https://orcid.org/0000-0001-8780-2011)
- Luca Vedovelli (ORCID: https://orcid.org/0000-0003-4847-2333)
- Federica Pezzuto (ORCID: https://orcid.org/0000-0002-8023-3108)
- Fiorella Calabrese (ORCID: https://orcid.org/0000-0001-5351-9226)
- Simone Zanella (ORCID: https://orcid.org/0000-0002-4258-2905)
- Yuliia Kuzyk (ORCID: https://orcid.org/0000-0002-5235-5861)
- Alessandra Ferro (ORCID: https://orcid.org/0000-0002-1163-3765)
- Francesca Lunardi (ORCID: https://orcid.org/0000-0001-5792-4683)
- Sofia‐Eleni Tzorakoleftheraki (ORCID: https://orcid.org/0009-0002-6336-5333)
- Giulia Pasello (ORCID: https://orcid.org/0000-0002-8741-6038)
- Federico Rea (ORCID: https://orcid.org/0000-0001-8632-3465)
Institutions
- University of Padua (IT)
- Aristotle University of Thessaloniki (GR)
- Danylo Halytsky Lviv National Medical University (UA)
- Istituto Oncologico Veneto (IT)
- Düzce Üniversitesi (TR)
Publication Details
- Journal
- Histopathology
- Published
- 2025-11-09
- DOI
- https://doi.org/10.1111/his.70025
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00