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Identifying the optimal time point for adaptive re-planning in prostate cancer radiotherapy to minimise rectal toxicity using normal tissue imaging biomarkers
Yang, Z. ; Noble, D. J. ; Elliot, S. ; Shelley, L. ; Berger, T. ; Jena, R. ; McLaren, D. B. ; Burnet, N. G. ; Nailon, W. H.
Yang, Z.
Noble, D. J.
Elliot, S.
Shelley, L.
Berger, T.
Jena, R.
McLaren, D. B.
Burnet, N. G.
Nailon, W. H.
Abstract
BACKGROUND AND PURPOSE: Adaptive radiotherapy (ART) in prostate cancer (PCa), although not yet standard practice, is typically triggered by inter-fractional anatomical changes that emerge progressively during treatment. This study investigates whether radiomics extracted before and during treatment can identify the optimal time point for re-planning, with the goal of reducing late rectal bleeding. MATERIALS AND METHODS: This study included 187 PCa patients from the single-centre, prospectively collected VoxTox dataset (UK-CRN-ID-13716), treated with image-guided radiotherapy using TomoTherapy and daily MVCT. Patients received either 74 Gy in 37 fractions (N = 110) or 60 Gy in 20 fractions (N = 77). Radiomic features were extracted from pre-treatment planning CTs and daily MVCTs. Grade ≥ 1 rectal bleeding was assessed at 2 years post-treatment using CTCAE v4.03. Two analysis strategies were employed: a separate analysis, where weekly features were evaluated independently; and a cumulative analysis, which progressively incorporated features from previous weeks. Logistic regression models with elastic net penalty were trained and evaluated using AUC. RESULTS: In both groups, week 1 provided the highest standalone predictive performance (test AUC = 0.766 for 74 Gy; 0.734 for 60 Gy). In the cumulative analysis, week 3 was optimal for the 74 Gy group (test AUC = 0.767), balancing performance and timing. For the 60 Gy group, week 1 remained optimal but suffered from reduced generalisability (test AUC = 0.643). CONCLUSIONS: Radiomic analysis of daily imaging can support early, proactive ART in PCa, offering a personalised strategy to reduce late rectal bleeding beyond conventional anatomy-based approaches.
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Date
2025
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Collections
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Article
Citation
Yang Z, Noble DJ, Elliot S, Shelley L, Berger T, Jena R, et al. Identifying the optimal time point for adaptive re-planning in prostate cancer radiotherapy to minimise rectal toxicity using normal tissue imaging biomarkers. Physics and imaging in radiation oncology. 2025 Oct;36:100850. PubMed PMID: 41141224. Pubmed Central PMCID: PMC12547930. Epub 2025/10/27. eng.