A deep learning-informed interpretation of why and when dose metrics outside the PTV can affect the risk of distant metastasis in SBRT NSCLC patients
The main reason for conflicting conclusions in previous papers was inconsistent datasets and insufficient consideration of confounding variables. No causal correlation between the risk of DM and dose outside the PTV was found. However, the mean dose to PTV<sub>3cm</sub> can be a significant predictor of DM in small spherical targets treated with VMAT, which might clinically imply considering larger PTV margins for smaller, more spherical tumors (e.g., if IGTV > 2 cm, then margin ≤ 7 mm, else margin > 7 mm).
Authors
- Issam El Naqa (ORCID: https://orcid.org/0000-0001-6023-1132)
- D. Dudáš (ORCID: https://orcid.org/0000-0003-0667-3727)
- Thomas J. Dilling (ORCID: https://orcid.org/0000-0003-0257-6989)
Institutions
- Moffitt Cancer Center (US)
- Czech Technical University in Prague (CZ)
Publication Details
- Journal
- Radiation Oncology
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1186/s13014-024-02519-1
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- U.S. Department of Defense
- National Institutes of Health
- Congressionally Directed Medical Research Programs