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Tumor control probability reduction in gated radiotherapy of non-small cell lung cancers: a feasibility study
Journal article   Open access   Peer reviewed

Tumor control probability reduction in gated radiotherapy of non-small cell lung cancers: a feasibility study

R. Alfredo Siochi, Yusung Kim and Sudershan Bhatia
Journal of applied clinical medical physics, Vol.16(1), pp.8-21
01/01/2015
DOI: 10.1120/jacmp.v16i1.4444
PMCID: PMC5689977
PMID: 25679148
url
https://europepmc.org/articles/pmc5689977View
Published (Version of record) Open Access

Abstract

We studied the feasibility of evaluating tumor control probability (TCP) reductions for tumor motion beyond planned gated radiotherapy margins. Tumor motion was determined from cone-beam CT projections acquired for patient setup, intrafraction respiratory traces, and 4D CTs for five non-small cell lung cancer (NSCLC) patients treated with gated radiotherapy. Tumors were subdivided into 1 mm sections whose positions and doses were determined for each beam-on time point. (The dose calculation model was verified with motion phantom measurements.) The calculated dose distributions were used to generate the treatment TCPs for each patient. The plan TCPs were calculated from the treatment planning dose distributions. The treatment TCPs were compared to the plan TCPs for various models and parameters. Calculated doses matched phantom measurements within 0.3% for up to 3 cm of motion. TCP reductions for excess motion greater than 5 mm ranged from 1.7% to 11.9%, depending on model parameters, and were as high as 48.6% for model parameters that simulated an individual patient. Repeating the worst case motion for all fractions increased TCP reductions by a factor of 2 to 3, while hypofractionation decreased these reductions by as much as a factor of 3. Treatment motion exceeding gating margins by more than 5 mm can lead to considerable TCP reductions. Appropriate margins for excess motion are recommended, unless applying daily tumor motion verification and adjusting the gating window.
Life Sciences & Biomedicine Radiology, Nuclear Medicine & Medical Imaging Science & Technology

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