Treatment planning for lung cancer reirradiation accounting for previously delivered dose.
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All Authors
Walton, DP.
Thompson, C.
Lowe, D.
Pagett, CJH.
Lilley, J.
Svensson, S.
Eriksson, K.
Bokrantz, R.
Oden, J.
Murray, L.
LTHT Author
Thompson, Christopher
Lowe, Dominic
Pagett, Christopher
Lilley, John
Murray, Louise
Teo, Mark
Appelt, Ane
Lowe, Dominic
Pagett, Christopher
Lilley, John
Murray, Louise
Teo, Mark
Appelt, Ane
LTHT Department
Oncology
Medical Physics & Engineering
Radiotherapy Physics
Leeds Cancer Centre
Clinical Oncology
Medical Physics & Engineering
Radiotherapy Physics
Leeds Cancer Centre
Clinical Oncology
Non Medic
Clinical Scientist
Radiotherapy Physicist
Consultant Physicist
Physicist
Radiotherapy Physicist
Consultant Physicist
Physicist
Publication Date
2026
Item Type
Journal Article
Language
Subject
RADIATION DOSAGE , DOSE-RESPONSE RELATIONSHIP, RADIATION , LUNG NEOPLASMS , WHOLE-BODY IRRADIATION , RADIOTHERAPY PLANNING, COMPUTER-ASSISTED
Subject Headings
Abstract
Reirradiation is increasingly used for recurrent and new primary cancers, but dedicated planning tools are limited. We integrated deformable image registration and radiobiologically consistent dose accumulation into plan optimisation to improve plan quality and robustness, applying this approach to six lung cancer cases and comparing it with a manual, maximum point-dose method. The integrated automated approach delivered higher target doses within organ-at-risk limits, maintained robustness, and was qualitatively preferable in blinded comparison. It produced clinically acceptable dose distributions for 5/6 patients, versus 3/6 with the manual method, suggesting enhanced and potentially more efficient reirradiation planning.
Journal
Physics & Imaging in Radiation Oncology