Balancing dose preservation and treatment efficiency in motion-managed magnetic resonance image-guided radiotherapy of pancreatic cancer

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Authors: Uffe Bernchou, Carsten Brink, Rana Bahij, Anders Smedegaard Bertelsen, Tine Schytte, Faisal Mahmood
Cited by: 0
References: 34

Abstract

Background and purpose: Active motion management (AMM) during magnetic resonance image (MRI)-guided pancreatic cancer radioablation enables tight planning target volume (PTV) margins but may prolong treatment. AMM strategies include beam gating and drift correction, which respectively interrupt or adjust treatment delivery in response to target motion. This study evaluates gross tumor volume (GTV) dose coverage and time efficiency using varying AMM settings. Materials and methods: Cine MRI data from 100 fractions in 20 patients undergoing MRI-guided pancreatic cancer radioablation were used to simulate treatment delivery of 5 × 10.0 Gy using a 2 mm PTV margin. Seventeen scenarios were evaluated: No AMM and combinations of gating window and drift correction thresholds from 5 mm to 2 mm. Accumulated dose and treatment time efficiency (beam-on/total time) were derived from the simulated beam history. Results: was -1.8 (-10.3-1.6) Gy. Lowering the drift threshold to 2 mm while using a 5 mm gating window achieved almost similar GTV dose preservation to a 2 mm gating window with 5 mm drift threshold [-0.9 (-3.9-1.1) Gy vs -0.8 (-3.3-1.2) Gy), but with substantially higher efficiency [90 (69-100) % vs 60 (28-94) %]. Conclusions: AMM improved GTV dose fidelity for pancreatic cancer radioablation with tight PTV margins, but stricter motion thresholds reduced efficiency. Prioritizing a low drift threshold over a narrow gating window preserved most of dose-related benefits while maintaining more efficient delivery, and may represent an AMM strategy for clinical workflows.

Fields of Study & Subjects

Advanced Radiotherapy Techniques Radiation Therapy and Dosimetry Medical Image Segmentation Techniques

Publication details

Journal / source
Physics and Imaging in Radiation Oncology
Volume
37
Pages
100927–100927
Publication date
1 January 2026
Language
EN