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

Ahmad, Irfan; Chufal, Kundan Singh; Miller, Alexis Andrew; Bajpai, Ram; Umesh, Preetha; Sokhal, Balamrit Singh; Bhatia, Kratika; Pati, Shilpa; Gairola, Munish

Abstract

Objective
To identify variables associated with a patients’ ability to reproducibly hold their breath for deep-inspiration breath-hold (DIBH) radiotherapy (RT) and to develop a predictive model for DIBH eligibility.

Methods
This prospective, single-institution, IRB-approved observational study included women with left-sided breast cancer treated between January 2023 and March 2024. Patients underwent multiple breath-hold sessions over 2–3 consecutive days. DIBH waveform metrics and clinical factors were recorded and analysed. Logistic mixed modelling was used to predict DIBH eligibility, and a temporal validation cohort was used to assess model performance.

Results
In total, 253 patients were included, with 206 in the model development cohort and 47 in the temporal validation cohort. The final logistic mixed model identified increasing average breath-hold duration (OR, 95% CI: 0.308, 0.104–0.910. p = 0.033) and lower amplitude (OR, 95% CI: 0.737, 0.641–0.848. p < 0.001) as significant predictors of DIBH eligibility. Increasing age was associated with higher odds of being ineligible for DIBH (OR, 95% CI: 1.040, 1.001–1.081. p = 0.044). The model demonstrated good discriminative performance in the validation cohort with an AUC of 80.9% (95% CI: 73.0-88.8).

Conclusion
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.

Citation

Ahmad, I., Chufal, K. S., Miller, A. A., Bajpai, R., Umesh, P., Sokhal, B. S., …Gairola, M. (in press). 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. Radiation Oncology, 19(1), Article 115. https://doi.org/10.1186/s13014-024-02512-8

• Journal Article Type: Article
• Acceptance Date: Aug 23, 2024
• Online Publication Date: Aug 29, 2024
• Deposit Date: Sep 2, 2024
• Publicly Available Date: Sep 2, 2024
• Journal: Radiation Oncology
• Electronic ISSN: 1748-717X
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 19
• Issue: 1
• Article Number: 115
• DOI: https://doi.org/10.1186/s13014-024-02512-8
• Keywords: Breast neoplasms, Cardiac sparing, Developing countries, Radiotherapy, intensity-modulated
• Public URL: https://keele-repository.worktribe.com/output/890079
• Publisher URL: https://ro-journal.biomedcentral.com/articles/10.1186/s13014-024-02512-8