Journal article : Review
Cumulative oesophageal dose and risk of high-grade toxicity in thoracic re-irradiation: a dose/toxicity analysis
- Abstract:
- Background and purposeRe-irradiation (re-RT) in recurrent thoracic cancer is being performed more often and can cause severe toxicity. Information is lacking on safe re-irradiation dose constraints. We modelled the relationship between cumulative oesophageal dose and grade 3 or worse (≥G3) oesophageal toxicity to develop dose constraints.Materials and methodsWe performed a literature search for reports of thoracic re-RT and selected studies that quoted cumulative oesophageal maximum dose (cDmax) in equivalent dose in 2 Gy fractions (EQD2) and ≥G3 toxicity. Additional collected data were inter-treatment interval and concurrent chemotherapy use (conCT) at re-irradiation. Logistic regression analyses were performed. The models were used to predict the cDmax associated with a 5% ≥G3 toxicity rate. Model performance was assessed using the Pearson correlation coefficient (PCC).ResultsWe identified 21 studies (505 patients), with 49 ≥G3 toxic events. The median oesophageal cDmax and interval were 84.8 Gy3 (3.7 - 220.6 Gy3 EQD2) and 15.5 months (1-162) respectively. Use of conCT and oesophageal cDmax were significantly associated with toxicity on univariable and multivariable modelling (both p < 0.001). The maximum likelihood doses associated with 5% risk of ≥G3 toxicity with/without chemotherapy were cDmax 43.0 Gy3 (95% CI: -18.5, 108.8) and 94.2 Gy3 (95% CI: 79.6, 142.8) respectively. The model had a PCC of 0.75 (p = 0.013) suggesting good correlation to the dataset.ConclusionThe models predict a 5% toxicity at cDmax 43.0 Gy3 and 94.2 Gy3 EQD2 with/without chemotherapy. This supports a cDmax constraint of 3 EQD2 to limit ≥G3 toxicity to under 5%, consistent with the American Radium Society constraints (3 EQD2). ConCT with re-irradiation has a large radiosensitising effect. Limitations of this study include the use of old, retrospective data resulting in wide CIs around the predictions and insufficient data to predict a volumetric constraint. Further modelling with more detailed dose data is required to refine and validate these predictions.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.2MB, Terms of use)
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- Publisher copy:
- 10.1016/j.ctro.2026.101108
Authors
- Publisher:
- Elsevier
- Journal:
- Clinical and Translational Radiation Oncology More from this journal
- Volume:
- 57
- Pages:
- 101108
- Publication date:
- 2026-01-09
- Acceptance date:
- 2026-01-08
- DOI:
- EISSN:
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2405-6308
- ISSN:
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2405-6308
- Pmid:
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41583535
- Language:
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English
- Keywords:
- Subtype:
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Review
- Pubs id:
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2390537
- UUID:
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uuid_58bb0bea-7cbe-4044-815a-df765851ea80
- Local pid:
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pubs:2390537
- Source identifiers:
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3720322
- Deposit date:
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2026-02-03
- ARK identifier:
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Terms of use
- Copyright date:
- 2026
- Licence:
- CC Attribution (CC BY)
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