Identification of variables and development of a prediction model for DIBH eligibility in left-sided breast cancer radiotherapy: a prospective cohort study with temporal validation
The identification of variables associated with DIBH eligibility and development of a predictive model has the potential to serve as a decision-support tool. Further external validation is required before its integration into routine clinical practice.
Authors
- Ram Bajpai (ORCID: https://orcid.org/0000-0002-1227-2703)
- Andrew Miller (ORCID: https://orcid.org/0000-0003-3044-3358)
- Kratika Bhatia
- Munish Gairola
- Irfan Ahmad (ORCID: https://orcid.org/0000-0003-2944-6797)
- Balamrit Singh Sokhal (ORCID: https://orcid.org/0000-0002-2315-0744)
- Kundan Singh Chufal (ORCID: https://orcid.org/0000-0003-3436-4999)
- Shilpa Pati
- Preetha Umesh
Institutions
- Rajiv Gandhi Cancer Institute and Research Centre (IN)
- Keele University (GB)
Publication Details
- Journal
- Radiation Oncology
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1186/s13014-024-02512-8
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81