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

High replication stress and limited Rad51-mediated DNA repair capacity, but not oxidative stress, underlie oligodendrocyte precursor cell radiosensitivity.

NAR cancer·2022
Same author

A high-throughput alpha particle irradiation system for monitoring DNA damage repair, genome instability and screening in human cell and yeast model systems.

Nucleic acids research·2020
Same author

Development and clinical implementation of eclipse scripting-based automated patient-specific collision avoidance software.

Journal of applied clinical medical physics·2019
See all related articles

Related Experiment Video

Updated: Oct 1, 2025

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

15.9K

Fast stereotactic radiosurgery planning using patient-specific beam angle optimization and automation.

Thomas D Mann1,2, Kundan S Thind1,3,4, Nicolas P Ploquin1,2,3

  • 1Department of Physics and Astronomy, University of Calgary, Calgary, AB, Canada.

Physics and Imaging in Radiation Oncology
|March 4, 2022
PubMed
Summary

Stereotactic Optimized Automated Radiotherapy (SOAR) planning matches manual plan quality for multi-metastatic cases while significantly reducing treatment planning time. This automated approach enhances efficiency in complex radiotherapy procedures.

Keywords:
AutomationHeuristicsOrgans at riskParticle acceleratorsRadiosurgeryRetrospective studies

More Related Videos

Stereotactic Radiosurgery for Gynecologic Cancer
10:35

Stereotactic Radiosurgery for Gynecologic Cancer

Published on: April 17, 2012

18.3K
Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

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

Published on: February 6, 2019

20.5K

Related Experiment Videos

Last Updated: Oct 1, 2025

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

15.9K
Stereotactic Radiosurgery for Gynecologic Cancer
10:35

Stereotactic Radiosurgery for Gynecologic Cancer

Published on: April 17, 2012

18.3K
Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

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

Published on: February 6, 2019

20.5K

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiotherapy Planning

Background:

  • Stereotactic radiosurgery (SRS) for multiple brain metastases is complex and time-consuming.
  • Manual SRS planning involves iterative adjustments for optimal target coverage and organ-at-risk (OAR) sparing.
  • Existing methods lack automated efficiency for intricate multi-metastatic treatment planning.

Purpose of the Study:

  • To develop and evaluate the Stereotactic Optimized Automated Radiotherapy (SOAR) algorithm for SRS planning.
  • To integrate beam angle optimization and collision prediction into an automated workflow.
  • To compare SOAR planning with traditional manual planning for multi-metastatic intracranial tumors.

Main Methods:

  • Retrospective analysis of 25 patient SRS plans for multi-metastatic intracranial tumors.
  • Comparison of manual planning strategy against the SOAR automated algorithm.
  • Evaluation of dose-volume metrics for OARs and planning target volumes (PTVs) using statistical tests.
  • Efficiency assessment by comparing planning times for a subset of five patients.

Main Results:

  • No statistically significant difference in OAR dose metrics between SOAR and manual planning.
  • SOAR planning demonstrated statistically significant improvements in maximum PTV dose and conformity index.
  • Median planning time for SOAR was 9.8 minutes, compared to 55 minutes for manual planning.

Conclusions:

  • SOAR planning achieves comparable plan quality to manual strategies for multi-metastatic SRS.
  • The SOAR algorithm offers substantial improvements in radiotherapy planning efficiency through automation.
  • Automated planning holds significant potential for streamlining complex SRS cases.