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Related Experiment Video

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Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

Clinical implementation of a knowledge based planning tool for prostate VMAT.

Richard Powis¹, Andrew Bird², Matthew Brennan²

¹Worcestershire Oncology Centre, Worcestershire Acute Hospitals NHS Trust, Worcester, UK. richardpowis@nhs.net.

Radiation Oncology (London, England)

|May 10, 2017

Summary

This summary is machine-generated.

A new knowledge-based planning tool significantly reduced average rectum dose in prostate VMAT radiotherapy by identifying and improving suboptimal plans. This enhances treatment consistency and patient outcomes.

Keywords:

Knowledge-based planning (KBP)Organ at risk dose sparing Plan optimisation Scripting

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Last Updated: Mar 2, 2026

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

Area of Science:

Radiation Oncology
Medical Physics
Clinical Informatics

Background:

Prostate VMAT (volumetric modulated arc therapy) radiotherapy planning requires consistent and optimal rectal sparing.
Existing planning methods may lead to suboptimal dose distributions, impacting treatment quality.
A knowledge-based planning (KBP) tool was developed to address these limitations.

Purpose of the Study:

To develop and implement a KBP tool for prostate VMAT.
To predict optimal average rectum dose based on historical data and patient anatomy.
To improve plan quality and consistency by highlighting and rectifying sub-optimal plans.

Main Methods:

A local model was developed using a RayStation script on 97 historical prostate VMAT plans.
The model predicted optimum average rectum dose based on individual anatomy and PTV/rectum overlap.
A validation study involved replanning 'optimal' and 'sub-optimal' plans blindly to assess dose improvement; the tool was then clinically implemented.

Main Results:

The KBP tool successfully identified sub-optimal plans, which showed significant average rectum dose improvement upon replanning.
Clinical implementation led to a 5.6 Gy reduction in population-averaged mean rectum dose.
Minor increases in MU and femoral head dose, and a decrease in conformity index were observed but remained clinically acceptable.

Conclusions:

The KBP tool facilitates substantial reductions in mean rectum dose for prostate VMAT patients.
Quantitative feedback against historical data improves radiotherapy plan quality and rectal sparing.
This approach enhances consistency and effectiveness in prostate cancer radiotherapy.