Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

New Approaches in Radiotherapy.

Cancers·2025
Same author

Comparative analysis of fetal dose sparing between a C-arm linac and an O-ring linac in a SIB-VMAT sarcoma treatment for a pregnant patient: A technical note and case report.

Journal of applied clinical medical physics·2024
Same author

Geometric and dosimetric evaluation for breast and regional nodal auto-segmentation structures.

Journal of applied clinical medical physics·2024
Same author

MU variability in CBCT-guided online adaptive radiation therapy.

Journal of applied clinical medical physics·2024
Same author

A comprehensive evaluation of advanced dose calculation algorithms for brain stereotactic radiosurgery.

Journal of applied clinical medical physics·2023
Same author

Influence of air mapping errors on the dosimetric accuracy of prostate CBCT-guided online adaptive radiation therapy.

Journal of applied clinical medical physics·2023
Same journal

Synthetic CT-enabled weekly adaptive radiotherapy for nasopharyngeal carcinoma: Optimizing plan adaptation triggers through volumetric-dosimetric monitoring.

Journal of applied clinical medical physics·2026
Same journal

Method for simultaneous selection of treatment isocenters and margins for polymetastatic extracranial stereotactic ablative radiotherapy.

Journal of applied clinical medical physics·2026
Same journal

Pulse‑level characterization of low monitor unit deliveries on a modern linear accelerator using a plastic scintillation detector.

Journal of applied clinical medical physics·2026
Same journal

Improving image quality in terbium-161 phantom imaging: Quantitative evaluation of DEW and TEW scatter correction methods.

Journal of applied clinical medical physics·2026
Same journal

Latent density discrepancies in commercial lung-equivalent inserts and their clinical dosimetric impact.

Journal of applied clinical medical physics·2026
Same journal

Explainable machine learning for patient-specific quality assurance in intensity-modulated radiotherapy based on anatomical structures.

Journal of applied clinical medical physics·2026
See all related articles

Related Experiment Video

Updated: Jan 7, 2026

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.8K

Streamlined data extraction and visualization utilizing third-party verification software for online adaptive

Sean Tanny1, Alexander Podgorsak1, Nicholas Sperling2

  • 1Department of Radiation Oncology, University of Rochester Medical Center, New York, New York, USA.

Journal of Applied Clinical Medical Physics
|December 26, 2025
PubMed
Summary
This summary is machine-generated.

A new software tool simplifies the extraction and analysis of online adaptive radiation therapy (oART) data. This streamlines the process, enabling better insights from daily treatment planning information.

Keywords:
CBCT‐based adaptive RTEthos‐based adaptiveadaptive radiotherapy

More Related Videos

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

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

Published on: April 11, 2018

15.8K
Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
03:55

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Published on: June 9, 2023

909

Related Experiment Videos

Last Updated: Jan 7, 2026

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.8K
Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

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

Published on: April 11, 2018

15.8K
Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
03:55

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Published on: June 9, 2023

909

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Data Science

Background:

  • Online adaptive radiation therapy (oART) generates extensive daily treatment planning data.
  • Current oART platforms often limit end-user access to this data, hindering longitudinal assessment.
  • Manual data extraction from oART platforms is time-consuming and inefficient.

Purpose of the Study:

  • To develop modified software for extracting online adaptive radiation therapy (oART) data.
  • To overcome limitations in accessing and analyzing longitudinal oART treatment planning data.
  • To facilitate efficient data collection, comparison, and visualization for oART.

Main Methods:

  • A Python program was created to query oART data from secondary dose calculation software.
  • Collected structure, plan, and dosimetric data from 1200 oART sessions over 3 years.
  • Utilized Pandas DataFrames for data storage, comparison, and visualization, including de-identification tools.

Main Results:

  • The developed software significantly reduced data extraction time compared to manual methods.
  • Implemented various visualization techniques for oART data analysis.
  • The software extracts key planning data but does not include raw DICOM information like CT scans or dose files.

Conclusions:

  • The developed software offers a streamlined approach to collect, analyze, and visualize oART data.
  • This tool enhances data accessibility for dedicated oART platforms.
  • Further development is needed to improve access and analysis capabilities for comprehensive oART data.