Quantifying effects of lead shielding in electron beams: a Monte Carlo study

Lead shielding in contact with the patient's skin is often encountered in radiotherapy with electron beams. The influence of the lead shielding on dose distributions in the patient cannot fully be assessed using modern treatment planning systems. In this work the problem of quantifying the effect of lead shielding on dose distributions is addressed. Monte Carlo dose calculations were performed in a half-blocked water phantom shielded by lead, using a realistic model for the fluence of an electron linear accelerator. Electron beam energies of 6-20 MeV and lead thicknesses of 1-7 mm are used for 10 x 10 cm2 and 5 x 5 cm2 fields. The perturbation of the particle fluence and dose distributions in water introduced by the lead shielding is quantified. The effect of oblique electron beams on the dose perturbation is shown. A fictitious clinical example, the shielding of an eye in electron beam treatment, is used to demonstrate the usefulness of Monte Carlo based treatment planning algorithms that can incorporate the effects of lead shielding.

[1]  J. Cygler,et al.  Electron dose distributions in experimental phantoms: a comparison with 2D pencil beam calculations. , 1987, Physics in medicine and biology.

[2]  J. Knisely Practical Radiotherapy Planning , 1992 .

[3]  H. Thierens,et al.  Comparison of measured and calculated dose distributions in lung after electron beam treatment of the chest wall. , 1994, Medical physics.

[4]  T. Mackie,et al.  MMC--a high-performance Monte Carlo code for electron beam treatment planning. , 1995, Physics in medicine and biology.

[5]  C. Ma,et al.  BEAM: a Monte Carlo code to simulate radiotherapy treatment units. , 1995, Medical physics.

[6]  Dosimetric evaluation of lead and tungsten eye shields in electron beam treatment. , 1996 .

[7]  Christine L. Hartmann-Siantar,et al.  Lawrence Livermore National Laboratory`s PEREGRINE project , 1997 .

[8]  S. Hyödynmaa,et al.  Dose accuracy check of the 3D electron beam algorithm in a treatment planning system. , 1998, Physics in medicine and biology.

[9]  C. Ma,et al.  Stopping-power ratios for clinical electron beams from a scatter-foil linear accelerator. , 1999, Physics in medicine and biology.

[10]  Evaluation of a commercial three-dimensional electron beam treatment planning system. , 1999, Medical physics.

[11]  I. Kawrakow Accurate condensed history Monte Carlo simulation of electron transport. I. EGSnrc, the new EGS4 version. , 2000, Medical physics.

[12]  Tom Daly,et al.  PEREGRINE: Bringing Monte Carlo based Treatment Planning Calculations to Today’s Clinic , 2000 .

[13]  T. Pawlicki,et al.  MCDOSE — A Monte Carlo Dose Calculation Tool for Radiation Therapy Treatment Planning , 2000 .

[14]  J. Sempau,et al.  DPM, a fast, accurate Monte Carlo code optimized for photon and electron radiotherapy treatment planning dose calculations , 2000 .

[15]  Paul J. Keall,et al.  Performance benchmarks of the MCV Monte Carlo system , 2000 .

[16]  Iwan Kawrakow,et al.  VMC ++ , a fast MC algorithm for Radiation Treatment planning , 2000 .

[17]  A. Nahum,et al.  Backscatter towards the monitor ion chamber in high-energy photon and electron beams: charge integration versus Monte Carlo simulation. , 2000, Physics in medicine and biology.

[18]  C. Ma,et al.  A Monte Carlo dose calculation tool for radiotherapy treatment planning. , 2002, Physics in medicine and biology.