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

Determining Optimal Fractionation of Neoadjuvant Radiation in Low-Risk, Early-Stage Breast Cancer-Randomized SIGNAL Clinical Trial.

Cancers·2026

Same author

Correction: Smell-related quality of life changes after total laryngectomy: a multi-centre study.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery·2026

Same author

Comparative Efficacy of Stereotactic Body RadioTherapy (SBRT) and Percutaneous Radiofrequency Ablation (RFA) for Oligometastatic Liver Disease - Radiation Oncologists' Perspective and Practice Guideline.

The British journal of radiology·2026

Same author

Genetic Reassessment Reveals Catecholaminergic Polymorphic Ventricular Tachycardia in Sisters Initially Diagnosed With Long QT Syndrome.

JACC. Case reports·2026

Same author

A comparison of contrast-to-noise ratio of liver tumors between dynamic contrast-enhanced (DCE) CT and respiration-tracked 4D-CT for radiotherapy targeting.

The British journal of radiology·2026

Same author

A Rare Case of De Novo Acute Myeloid Leukemia, Featuring a <i>KMT2A</i> (<i>MLL</i>) Amplification.

Diagnostics (Basel, Switzerland)·2026

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

Search research articles

Related Experiment Video

Updated: May 15, 2026

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

Automated IMRT planning with regional optimization using planning scripts.

Ilma Xhaferllari¹, Eugene Wong, Karl Bzdusek

¹Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada. ilma.xhaferllari@lhsc.on.ca

Journal of Applied Clinical Medical Physics

|January 16, 2013

Summary

This summary is machine-generated.

This study introduces an automated iterative method to optimize intensity-modulated radiation therapy (IMRT) plans for complex cancers. The new approach significantly reduces planning time and improves plan quality for challenging cases.

More Related Videos

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Published on: October 6, 2023

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: May 15, 2026

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

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Published on: October 6, 2023

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:

Radiation Oncology
Medical Physics
Computational Biology

Background:

Intensity-modulated radiation therapy (IMRT) is a standard cancer treatment.
Optimizing IMRT plans for complex cases (e.g., head and neck, pelvic nodes) is time-consuming.
Manual adjustments and trial-and-error are common in complex IMRT planning.

Purpose of the Study:

To develop and validate an automated iterative method for improving IMRT planning efficiency.
To reduce the time and effort required for optimizing complex IMRT plans.
To enhance the quality of IMRT dose distributions by minimizing hot and cold spots.

Main Methods:

An iterative regional optimization method was designed and implemented.
The method automates the identification and segmentation of dose hot and cold spots.
New objectives and weights are introduced into inverse planning within an iterative framework with termination criteria.

Main Results:

The automated method was applied to prostate with pelvic nodes, head and neck, and anal canal cancers.
Significant reductions in IMRT planning time were observed for clinical applications.
Improved IMRT plan quality was achieved, with reduced dose variations.

Conclusions:

The developed iterative method effectively automates complex IMRT plan optimization.
This approach offers substantial time savings and improved plan quality in clinical practice.
The IMRT planning scripts have been successfully utilized in over 500 clinical cases.