Long-Term Prognosis of Resected Stage 1 Lung Adenocarcinoma With Radiomics, Regionality, and Histopathologic Correlation
Our results indicate that radiomics helps prognosticate long-term outcomes in patients with resected stage I AC. Furthermore, histopathologic invasion detected by radiomics seems to vary depending on geographic location of the nodule in the lung.
Authors
- Jennifer M. Boland (ORCID: https://orcid.org/0000-0002-2723-9586)
- Tobias Peikert
- Abdelmohaymin Abdalla (ORCID: https://orcid.org/0000-0003-4566-9325)
- Brian J. Bartholmai (ORCID: https://orcid.org/0000-0001-7834-6579)
- Cyril Varghese (ORCID: https://orcid.org/0009-0004-8415-8258)
- Nan Zhang (ORCID: https://orcid.org/0000-0001-6154-0383)
- Srinivasan Rajagopalan (ORCID: https://orcid.org/0000-0003-1125-8747)
Institutions
- Mayo Clinic in Arizona (US)
- Mayo Clinic Hospital (US)
Publication Details
- Journal
- CHEST Pulmonary
- Published
- 2025-01-22
- DOI
- https://doi.org/10.1016/j.chpulm.2025.100139
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Mayo Foundation for Medical Education and Research
- National Center for Advancing Translational Sciences