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Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

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Published on: April 11, 2018

Online adaptive planning methods for intensity-modulated radiotherapy.

Zihang Qiu^1,2, Sven Olberg², Dick den Hertog¹

¹Department of Business Analytics, University of Amsterdam, The Netherlands.

Physics in Medicine and Biology

|April 17, 2023

Summary

Online adaptive radiation therapy needs faster planning to adapt treatments daily. This review covers current systems, research, and AI

Keywords:

IMPT IMRT online adaptive radiation therapy online adaptive treatment planning

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Area of Science:

Medical Physics
Radiation Oncology
Computational Imaging

Background:

Online adaptive radiation therapy (OART) aims to adjust patient treatment plans daily based on anatomical changes.
Current OART requires rapid, time-efficient planning methods to be feasible during patient setup.
Conventional planning methods are too slow due to extensive human involvement.

Purpose of the Study:

To review current planning strategies in commercial OART systems.
To summarize research advancements in online adaptive planning.
To explore the potential of artificial intelligence in accelerating OART.

Main Methods:

Review of commercial OART system planning strategies.
Survey of published research on online adaptive planning techniques.
Analysis of artificial intelligence applications for adaptive radiotherapy planning.

Main Results:

Commercial OART systems employ various planning strategies to meet time constraints.
Research is exploring automated and AI-driven methods to speed up planning.
Artificial intelligence shows promise for significantly reducing planning time.

Conclusions:

Faster planning is crucial for effective online adaptive radiation therapy.
Current systems and research are moving towards more automated solutions.
AI integration is a key future direction for efficient OART.