Effects of density changes in the chest on lung stereotactic radiotherapy.

To experimentally and theoretically evaluate dose distribution during lung stereotactic radiotherapy, we investigated the relative electron densities in lung and tumor tissues using X-ray computed tomography images obtained from 30 patients in three breathing states: free breathing, inspiration breath-hold, and expiration breath-hold. We also calculated dose distribution using Monte Carlo simulation for lung tissue with two relative electron densities. The effect of changes in relative electron density on dose distribution in lung tissue was evaluated using calculated differential and integral dose volume histograms. The relative electron density of lung tissue was 0.22 in free breathing, 0.23 in shallow expiration, and 0.17 in shallow inspiration, and there was a tendency for relative electron density to decrease with age. The relative electron density of tumor tissue was approximately 0.9, with little variation due to differences in breathing state. As the relative electron density of lung tissue decreases, the low-dose region expands and leads to changes in the marginal dose.

[1]  J. V. Dyk,et al.  Lung density as measured by computerized tomography: implications for radiotherapy. , 1982 .

[2]  K. Ohara,et al.  Irradiation synchronized with respiration gate. , 1989, International journal of radiation oncology, biology, physics.

[3]  R. K. Bull,et al.  Stopping powers for electrons and positrons: ICRU Report 37; 271 pp.; 24 figures; U.S. $24.00. , 1986 .

[4]  D. Rogers,et al.  EGS4 code system , 1985 .

[5]  M Engelsman,et al.  Impact of simple tissue inhomogeneity correction algorithms on conformal radiotherapy of lung tumours. , 2001, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[6]  R. Cloutier Tissue Substitutes in Radiation Dosimetry and Measurement. , 1989 .

[7]  J. Wong,et al.  The use of active breathing control (ABC) to reduce margin for breathing motion. , 1999, International journal of radiation oncology, biology, physics.

[8]  F D Thomas,et al.  Density patterns in the normal lung as determined by computed tomography. , 1980, Radiology.

[9]  J A Purdy,et al.  Clinical dose-volume histogram analysis for pneumonitis after 3D treatment for non-small cell lung cancer (NSCLC) , 1999, International journal of radiation oncology, biology, physics.

[10]  Radhe Mohan,et al.  Monte Carlo Simulation of Radiation Treatment Machine Heads , 1988 .

[11]  H. Shirato,et al.  Four-dimensional treatment planning and fluoroscopic real-time tumor tracking radiotherapy for moving tumor. , 2000, International journal of radiation oncology, biology, physics.

[12]  Tatsuya Fujisaki,et al.  Dose distribution of narrow beam irradiation for small lung tumor. , 2002, International journal of radiation oncology, biology, physics.

[13]  O Ratib,et al.  Osiris: a medical image-manipulation system. , 1994, M.D. computing : computers in medical practice.

[14]  L A DeWerd,et al.  An electron density calibration phantom for CT-based treatment planning computers. , 1992, Medical physics.

[15]  S. Thomas,et al.  Relative electron density calibration of CT scanners for radiotherapy treatment planning. , 1999, The British journal of radiology.

[16]  E. Kunieda,et al.  DOSE DISTRIBUTION ANALYZE OF THE BODY STI USED MONTE CARLO METHOD , 2002 .

[17]  G. Tsumatori,et al.  Focal, high dose, and fractionated modified stereotactic radiation therapy for lung carcinoma patients , 1998, Cancer.