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Updated: Jun 17, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
A sector-integration method for dose/MU calculation in a uniform scanning proton beam.
Qingya Zhao1, Huanmei Wu, Mark Wolanski
1Midwest Proton Radiotherapy Institute, Bloomington, IN, USA. qzhao@mpri.org
A new method accurately calculates proton therapy dose (dose/monitor unit, MU) using treatment field parameters. This time-saving approach achieves high accuracy, with 99% of errors under +/-2% for proton beam dose calculations.
Area of Science:
- Medical Physics
- Radiation Oncology
- Proton Therapy
Background:
- Accurate dose calculation is crucial for effective proton therapy.
- Existing methods may be time-consuming or lack precision.
- Proton therapy utilizes unique beam characteristics for precise dose delivery.
Purpose of the Study:
- To develop and validate a simple, time-saving sector integration method for calculating proton dose per monitor unit (MU).
- To assess the accuracy and stability of the proposed calculation model across various clinical parameters.
Main Methods:
- A sector integration model was developed using treatment field parameters: aperture shape, size, measuring position, beam range, and modulation.
- The model was validated against 431 previously measured dose/MU values in a uniform scanning proton beam.
- Measurements were performed in a water phantom using a parallel plate ionization chamber at various depths and spread-out Bragg peak (SOBP) extents.
Main Results:
- The developed model demonstrated high accuracy, with calculation errors ranging from -2.4% to 3.3%.
- 99% of the calculated dose/MU values had errors less than +/-2%.
- Accuracy improved with higher energy, larger SOBP, and bigger aperture sizes, with an average error of 0.31 +/- 0.96% for small fields.
Conclusions:
- The proposed sector integration method provides an accurate, simple, and time-saving approach for proton dose/MU calculations.
- The model's performance is reliable across a range of clinical scenarios, enhancing treatment planning efficiency.
- This method has the potential to improve the precision and efficiency of proton therapy delivery.
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