Lung and Heart Dose Variability During Radiation Therapy of Non-Small Cell Lung Cancer.

Jan, Nuzhat; Guy, Christopher; Reshko, Leonid B; Hugo, Geoffrey D; Weiss, Elisabeth · Int J Radiat Oncol Biol Phys · 2017

prospective_cohort · Level II

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Abstract

To investigate the hypothesis that positional and anatomic variations during radiation therapy induce changes in lung and heart volumes and associated radiation doses. In this longitudinal investigation, variations in lung and heart volumes and standard dose parameters of mean lung dose, lung V<sub>20Gy</sub>, mean heart dose, and heart V<sub>40Gy</sub> were analyzed on weekly 4-dimensional CT scans of 15 lung cancer patients during conventionally fractionated radiochemotherapy. Tumor, individual lung lobes, and heart were delineated on the mid-ventilation phase of weekly 4-dimensional CT scans. Lung lobes and heart were also contoured on individual breathing phases of pre-, mid-, and end-of-treatment scans. Planning dose was transferred to consecutive scans via rigid registration. Volume and dose variations were assessed relative to the initial planning scan. Interfraction lung volume variability relative to week 0 was twice as large as tidal volume variability (8.0% ± 5.3% vs 4.0% ± 3.3%, P=.003). Interfraction lung volume variation ranged between 0.8% and 17.1% for individual patient means. Lower lung lobes had larger volume variability compared with upper lobes (13.5% ± 8.1% vs 7.0% ± 5.0%, P<.00001). Average mean lung dose variation was 0.5 Gy (range, 0.2-1.0 Gy for individual patient means) and average lung V<sub>20Gy</sub> variation 0.9% (range, 0.2%-1.6%). Average heart volume variation was 7.2% (range, 3.4%-12.6%). Average mean heart dose variation was 1.2 Gy (range, 0.1-3.0 Gy) and average heart V<sub>40Gy</sub> variation 1.4% (range, 0%-4.2%). Anatomic and positional variations during radiation therapy induce changes in radiation doses to lung and heart. Repeated lung and heart dose assessment will provide a better estimate of the actual delivered dose and will improve prediction models for normal tissue toxicity, if assessed in larger cohorts.

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