Advanced dose accumulation methods: A comparative study in online adaptive radiotherapy for abdominal-pelvic lymph node oligometastases.

Authors

Erik van Lieshout, Joost J M E Nuyttens, Remi A Nout, Mischa S Hoogeman, Maaike T W Milder

Published in

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. Pages 111739. Aug 15, 2026. Epub Aug 15, 2026.

Abstract

To investigate whether advanced registration methods for dose accumulation lead to meaningful differences in online adaptive radiotherapy (OART) to aid in-treatment dose adaptation (ITDA). In ITDA, fraction dose is adjusted when anatomy is favorable to shorten treatment or increase target dose.
Twenty-five patients with abdominal-pelvic lymph node oligometastases were retrospectively included. 5 x 9 Gy OART was simulated. Gastrointestinal organ (GIO) segments were propagated and doses accumulated using five techniques: DVH summation, rigid registration, image-based and hybrid deformable registration, and Thin Plate Spline Robust Point Matching (TPS-RPM). Metrics included: Dice, Hausdorff distance (HD-99 %), mean surface distance (MSD), and accumulated GIO V20Gy₃, D_0.5cc, and D_2.0cc, and respective robustness. The most accurate method was compared to DVH summation for ITDA.
Geometric accuracy increased significantly with registration complexity. TPS-RPM achieved the highest accuracy (median Dice 0.98, HD-99 % 1.4 mm, MSD 0.25 mm) with lowest variability, and yielded significantly lower accumulated GIO doses compared to DVH summation (D_0.5cc 25.5 Gy vs 26.9 Gy and V20Gy₃ 5.4 Gy vs 5.9 Gy). Nonetheless, ITDA outcomes were identical or similar between the approaches. Fractions were reduced by 17 %. PTV V_{100 %} and PTV D_{95 %} increased significantly. Only PTV D_{95 %} differed.
Although advanced registration methods improve geometric accuracy and predict lower accumulated GIO doses, differences in fraction reduction or target dose were absent or minimal with ITDA compared to DVH summation. DVH summation therefore remains practical and efficient for this application, avoiding unnecessary complexity without compromising outcomes.

PMID:
42603619
Bibliographic data and abstract were imported from PubMed on 16 Aug 2026.

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