Prognosis from Pixels: A Vendor-Protocol-Specific CT-Radiomics Model for Predicting Recurrence in Resected Lung Adenocarcinoma
Under protocol-homogeneous imaging conditions, CT radiomics accurately predicted recurrence in patients with completely resected stage I lung adenocarcinoma. External multi-vendor validation is needed before broader deployment.
Authors
- Michelle S. Ginsberg (ORCID: https://orcid.org/0000-0003-0304-110X)
- Kay See Tan (ORCID: https://orcid.org/0000-0001-9757-1325)
- David R. Jones (ORCID: https://orcid.org/0000-0002-3318-0146)
- Edwin Ortiz
- Abdalla Khalil Ibrahim
- Cameron N. Fick (ORCID: https://orcid.org/0000-0001-9528-0436)
- Lauren Schwartz
- Stella T Tsui
- Binsheng Zhao
Institutions
- Memorial Sloan Kettering Cancer Center (US)
Publication Details
- Journal
- Cancers
- Published
- 2026-01-08
- DOI
- https://doi.org/10.3390/cancers18020200
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00