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Delivery of intensity-modulated electron therapy by mechanical scanning: An algorithm study.
Pan Ma1, Yuan Tian1, Minghui Li1
1Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Frontiers in Oncology
|December 12, 2022
Summary
Intensity-modulated electron therapy (IMET) delivered via mechanical scanning shows promise. A novel algorithm optimizes scanning patterns, reducing delivery time and path length for pancreatic cancer radiotherapy.
Area of Science:
- Medical Physics
- Radiation Oncology
- Robotics in Medicine
Background:
- Intensity-modulated electron therapy (IMET) offers precise radiation delivery.
- Mechanical scanning with a robotic arm presents a potential method for IMET delivery.
Purpose of the Study:
- To develop and evaluate a scanning algorithm for intensity-modulated electron therapy (IMET) using mechanical scanning.
- To optimize the delivery sequence for IMET to minimize treatment time.
Main Methods:
- A zigzag scanning algorithm was developed, generating beam positions and selecting discrete energies for target depth.
- Fast simulated annealing (FSA) was employed to optimize the delivery order of scan spots, minimizing path length.
- The algorithm was evaluated using CT data from 10 pancreatic cancer patients undergoing intraoperative radiotherapy.
Main Results:
- FSA optimization reduced scan path lengths by 12%-43% in clinical cases.
- The average treatment delivery time was 124±38 seconds, with path length reduction yielding up to a 10% decrease.
- Further reductions in delivery time are possible by increasing machine dose rate, robotic arm speed, and optimizing algorithms.
Conclusions:
- Mechanically scanned IMET is a feasible and promising approach for radiation therapy.
- The developed scanning algorithm and optimization strategy effectively reduce treatment delivery time.
- Further research and development in this area warrant exploration for clinical application.

