Breathing adapted radiotherapy: a 4D gating software for lung cancer

Peguret, Nicolas; Vock, Jacqueline; Vinh-Hung, Vincent; Fenoglietto, Pascal; Azria, David; Zaidi, Habib; Wissmeyer, Michael; Ratib, Osman; Miralbell, Raymond (2011). Breathing adapted radiotherapy: a 4D gating software for lung cancer. Radiation oncology, 6, p. 78. London: BioMed Central 10.1186/1748-717X-6-78

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Purpose Physiological respiratory motion of tumors growing in the lung can be corrected with respiratory gating when treated with radiotherapy (RT). The optimal respiratory phase for beam-on may be assessed with a respiratory phase optimizer (RPO), a 4D image processing software developed with this purpose. Methods and Materials Fourteen patients with lung cancer were included in the study. Every patient underwent a 4D-CT providing ten datasets of ten phases of the respiratory cycle (0-100% of the cycle). We defined two morphological parameters for comparison of 4D-CT images in different respiratory phases: tumor-volume to lung-volume ratio and tumor-to-spinal cord distance. The RPO automatized the calculations (200 per patient) of these parameters for each phase of the respiratory cycle allowing to determine the optimal interval for RT. Results Lower lobe lung tumors not attached to the diaphragm presented with the largest motion with breathing. Maximum inspiration was considered the optimal phase for treatment in 4 patients (28.6%). In 7 patients (50%), however, the RPO showed a most favorable volumetric and spatial configuration in phases other than maximum inspiration. In 2 cases (14.4%) the RPO showed no benefit from gating. This tool was not conclusive in only one case. Conclusions The RPO software presented in this study can help to determine the optimal respiratory phase for gated RT based on a few simple morphological parameters. Easy to apply in daily routine, it may be a useful tool for selecting patients who might benefit from breathing adapted RT.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology

UniBE Contributor:

Vock, Jacqueline Ruth

ISSN:

1748-717X

Publisher:

BioMed Central

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:19

Last Modified:

06 Feb 2015 19:20

Publisher DOI:

10.1186/1748-717X-6-78

PubMed ID:

21702952

Web of Science ID:

000293378900001

BORIS DOI:

10.7892/boris.6266

URI:

https://boris.unibe.ch/id/eprint/6266 (FactScience: 211176)

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