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New framework quantifies radiation dose uncertainty in cervical cancer therapy

Researchers have developed IMPACT-DoseAcc, a new framework for estimating cumulative radiation dose in adaptive radiotherapy (ART) for cervical cancer. This system quantifies uncertainties arising from image registration and segmentation, providing probabilistic dose-volume histograms. The framework demonstrated strong correlation between registration uncertainty and geometric error, achieving high coverage for target volumes and stabilizing dose estimates. AI

IMPACT Improves interpretation of cumulative dose in ART, supporting more reproducible and uncertainty-informed treatment workflows.

RANK_REASON The cluster contains an academic paper detailing a new framework for dose estimation in radiotherapy.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Cedric Hemon, Delphine Lebret, Jean-Claude Nunes, Valentin Boussot, Karine Peignaux, Nathalie Mesgouez-Nebout, Chantal Hanzen, Antoine Simon, Ana\"is Barateau, Renaud de Crevoisier, Caroline Lafond ·

    An Uncertainty Estimation Framework for Dose Accumulation in Adaptive Radiotherapy: Application to CBCT-Guided Radiotherapy for Cervical Cancer

    arXiv:2606.11012v1 Announce Type: new Abstract: Background and purpose: oART enables daily plan adaptation to interfraction anatomical variations, but cumulative dose estimation remains limited by DIR, segmentation, and anatomical uncertainties. We introduce IMPACT-DoseAcc, an un…

  2. arXiv cs.CV TIER_1 English(EN) · Caroline Lafond ·

    An Uncertainty Estimation Framework for Dose Accumulation in Adaptive Radiotherapy: Application to CBCT-Guided Radiotherapy for Cervical Cancer

    Background and purpose: oART enables daily plan adaptation to interfraction anatomical variations, but cumulative dose estimation remains limited by DIR, segmentation, and anatomical uncertainties. We introduce IMPACT-DoseAcc, an uncertainty-aware dose accumulation framework, wit…