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  • 1.
    Andersson, Patrik
    et al.
    RISE Research Institutes of Sweden. University of Gothenburg, Sweden.
    Pettersson, Niclas
    Sahlgrenska University Hospital, Sweden.
    Lindberg, Andreas
    Sahlgrenska University Hospital, Sweden.
    Swanpalmer, John
    University of Gothenburg, Sweden; Sahlgrenska University Hospital, Sweden.
    Chakarova, Roumiana
    University of Gothenburg, Sweden; Sahlgrenska University Hospital,Sweden.
    Effects of lung tissue characterization in radiotherapy of breast cancer under deep inspiration breath hold when using Monte Carlo dosimetry2021In: Physica medica (Testo stampato), ISSN 1120-1797, E-ISSN 1724-191X, Vol. 90, p. 83-90Article in journal (Refereed)
    Abstract [en]

    Purpose: To investigate the sensitivity of Monte Carlo (MC) calculated lung dose distributions to lung tissue characterization in external beam radiotherapy of breast cancer under Deep Inspiration Breath Hold (DIBH). Methods: EGSnrc based MC software was employed. Mean lung densities for one hundred patients were analysed. CT number frequency and clinical dose distributions were calculated for 15 patients with mean lung density below 0.14 g/cm3. Lung volume with a pre-defined CT numbers was also considered. Lung tissue was characterized by applying different CT calibrations in the low-density region and air-lung tissue thresholds. Dose impact was estimated by Dose Volume Histogram (DVH) parameters. Results: Mean lung densities below 0.14 g/cm3 were found in 10% of the patients. CT numbers below −960 HU dominated the CT frequency distributions with a high rate of CT numbers at −990 HU. Mass density conversion approach influenced the DVH shape. V4Gy and V8Gy varied by 7% and 5% for the selected patients and by 9% and 3.5% for the pre-defined lung volume. V16Gy and V20Gy, were within 2.5%. Regions above 20 Gy were affected. Variations in air- lung tissue differentiation resulted in DVH parameters within 1%. Threshold at −990 HU was confirmed by the CT number frequency distributions. Conclusions: Lung dose distributions were more sensitive to variations in the CT calibration curve below lung (inhale) density than to air-lung tissue differentiation. Low dose regions were mostly affected. The dosimetry effects were found to be potentially important to 10% of the patients treated under DIBH.

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