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Alterations in normal liver doses due to organ motion
Mihaela Rosu1, Laura A Dawson, James M Balter
1Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA. mrosu@med.umich.edu
International Journal of Radiation Oncology, Biology, Physics
|November 25, 2003
Summary
Accurate radiation dose calculations for liver tumors must account for patient movement during treatment. Ignoring setup variations and breathing motion can lead to incorrect liver normal tissue complication probability (NTCP) predictions.
Area of Science:
- Radiation Oncology
- Medical Physics
- Image-Guided Therapy
Background:
- Accurate radiation dose calculation is crucial for effective cancer treatment.
- Static computed tomography (CT) scans may not reflect actual patient anatomy and motion during treatment.
- Patient setup variations and organ motion (e.g., breathing) introduce uncertainties in delivered radiation dose.
Purpose of the Study:
- To evaluate the clinical significance of dose calculation differences between static CT and motion-compensated methods for intrahepatic lesions.
- To assess the impact of patient setup variations and breathing motion on liver normal tissue complication probability (NTCP).
Main Methods:
- Dose calculations for 40 patients treated with conformal therapy were re-evaluated.
- A geometric convolution approach was used, incorporating 3D probability distributions for setup uncertainties.
- A 1D distribution function modeled breathing-induced motion in the inferior-superior direction.
Main Results:
- Clinical target volume (CTV) dose was generally adequate, meeting planning target volume (PTV) dose in most cases.
- Significant changes in liver NTCP were observed, with increases for lower liver tumors and decreases for upper liver tumors.
- The average magnitude of change in liver NTCP was 3.9%, with required prescription dose adjustments averaging 1.9 Gy.
Conclusions:
- The planning target volume (PTV) concept adequately ensures clinical target volume (CTV) coverage.
- Doses to normal liver tissue are inaccurately modeled when patient-related geometric uncertainties are not included in treatment planning.