Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Research through Evaluation for Large Language Model in Patient-Clinician Communications.

Research square·2026

Same author

Comparative Analysis of Acute Skin Reactions After Postmastectomy Photon and Intensity Modulated Proton Therapy.

International journal of radiation oncology, biology, physics·2026

Same author

Large Language Model and Natural Language Processing Approach to Identify Cancer Recurrence From Pathology Reports.

JCO clinical cancer informatics·2026

Same author

From BERT to GPT-4: A systematic review of AI-Driven toxicity extraction and grading in radiation oncology.

Technical innovations & patient support in radiation oncology·2026

Same author

Large language models for toxicity extraction in oncology trials: A real-world benchmark in prostate radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2025

Same author

Comparison of partial breast radiation modalities in women with early-stage breast cancer: a target trial emulation.

Journal of the National Cancer Institute·2025

Search research articles

Related Experiment Video

Updated: Aug 20, 2025

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

Automated testing platform for radiotherapy treatment planning scripts.

Joseph John Lucido¹, Satomi Shiraishi¹, Srinivas Seetamsetty²

¹Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA.

Journal of Applied Clinical Medical Physics

|November 22, 2022

Summary

This summary is machine-generated.

Automated testing ensures patient safety and data integrity for user-developed automation software interacting with treatment planning systems (TPS). A new platform, WESTE, rapidly compares TPS data before and after script execution, facilitating safe clinical implementation.

Keywords:

Auotmation Radiation Therapy Treatment Planning

More Related Videos

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

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

Published on: April 11, 2018

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

Related Experiment Videos

Last Updated: Aug 20, 2025

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

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

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

Published on: April 11, 2018

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

Area of Science:

Medical Physics
Radiation Oncology
Software Engineering

Background:

User-developed automation software offers potential for treatment planning systems (TPS).
Rigorous testing is crucial for patient safety and data integrity with TPS automation.
Vendor-provided APIs enable script interaction with commercial TPS.

Purpose of the Study:

To develop an automated test platform for evaluating write-enabled scripts in a commercial TPS.
To ensure patient safety and data integrity when using user-developed automation software with TPS.
To facilitate the clinical implementation of automation scripts for TPS.

Main Methods:

Developed the Write-Enable Script Testing Engine (WESTE), a C# application.
Utilized the Eclipse Scripting Application Programming Interface (ESAPI) for TPS interaction.
Serialized TPS objects (Patient, Structure Set, PlanSetup) before and after script execution for comparison.

Main Results:

The WESTE platform successfully compared TPS data before and after script execution.
Identified differences in treatment planning data were documented.
Testing was performed rapidly, with each test case taking less than 4 seconds.

Conclusions:

The automated testing platform (WESTE) can acquire and analyze TPS data efficiently.
WESTE facilitates the clinical implementation of write-enabled scripts by ensuring data integrity and safety.
This approach enhances the reliability of user-developed automation in TPS environments.