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

Methods of Medium Optimization

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

Decision Making: P-value Method

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...

Multi-input and Multi-variable systems

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...

Optimization Problems

Optimization Problems

Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...

Decision Making: Traditional Method

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

You might also read

Related Articles

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

Sort by

Same author

Positron emission tomography-guided radiation therapy: An overview of the RefleXion SCINTIX biology-guided platform.

Journal of radiosurgery and SBRT·2026

Same author

Correction: Innovative approaches in precision radiation oncology: advanced imaging technologies and challenges which shape the future of radiation therapy.

Frontiers in medicine·2025

Same author

Multi-Institutional Verification of a Novel Predictor (Volume-Scaled SUVmax) for Successful Biology-Guided Radiotherapy Delivery of Small Targets.

Cancers·2025

Same author

Commissioning of the RefleXion X1 Linear Accelerator and Development of a Consensus Reference Beam Model.

Medical physics·2025

Same author

Innovative approaches in precision radiation oncology: advanced imaging technologies and challenges which shape the future of radiation therapy.

Frontiers in medicine·2025

Same author

Measurements of Small Field Output Correction Factors on a RefleXion Treatment Machine.

Precision radiation oncology·2025

Same journal

A case study of inhale and exhale split-course VMAT treatment to minimize dose to ribs.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists·2026

Same journal

Prospective clinical implementation of the robust optimization planning technique in long-course photon radiotherapy treatment for lung cancer.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists·2026

Same journal

Dosimetric comparison of target coverage, dose gradient, and low-dose bath in left-sided accelerated partial breast irradiation: CyberKnife versus conventional linac-based noncoplanar VMAT and 3D-CRT.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists·2026

Same journal

Cross-prescription validation of knowledge-based planning in prostate VMAT using a structured validation framework.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists·2026

Same journal

Dosimetric evaluation of beam block techniques in helical tomotherapy for extranodal nasal-type NK/T-cell lymphoma.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists·2026

Same journal

The dosimetric impact to bladder utilizing the Varian Edge linear accelerator for prostate stereotactic body radiation therapy.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 4, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Multicriteria optimization informed VMAT planning.

Huixiao Chen¹, David L Craft¹, David P Gierga¹

¹Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.

Medical Dosimetry : Official Journal of the American Association of Medical Dosimetrists

|December 24, 2013

Summary

This summary is machine-generated.

We developed a new method for patient-specific Volumetric Modulated Arc Therapy (VMAT) optimization using multicriteria optimization (MCO) data. This approach matches Intensity-Modulated Radiotherapy (IMRT) plan quality with reduced delivery time and monitor units.

Keywords:

Head/neck MCO-IMRT Prostate VMAT

Related Experiment Videos

Last Updated: May 4, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

Radiation Oncology
Medical Physics
Cancer Treatment

Background:

Intensity-modulated radiotherapy (IMRT) and Volumetric Modulated Arc Therapy (VMAT) are advanced radiation therapy techniques.
Multicriteria optimization (MCO) allows for simultaneous optimization of multiple objectives in treatment planning.
Dose-volume histogram (DVH) provides critical information for evaluating radiotherapy plan quality.

Purpose of the Study:

To develop and evaluate a patient-specific VMAT optimization procedure informed by MCO-IMRT DVH data.
To compare the quality and efficiency of MCO-informed VMAT plans against MCO-IMRT plans for various cancer sites.
To investigate the impact of VMAT parameters like gantry spacing and arc number on plan quality.

Main Methods:

Developed a VMAT optimization protocol using DVH data from MCO-IMRT plans as reference objectives and constraints.
Included prostate cancer (standard and hypofractionation) and head/neck cancer patient cohorts.
Utilized the RayStation treatment planning system for plan generation and optimization.
Evaluated plan quality using homogeneity index, conformity number, and organ at risk sparing.

Main Results:

MCO-informed VMAT plans achieved quality comparable to 20-field MCO-IMRT plans.
VMAT plans demonstrated reduced delivery time and monitor units compared to MCO-IMRT.
Dual arcs improved VMAT quality for head/neck cancers but not for prostate cancers.
Fine gantry spacing improved VMAT quality for head/neck and hypofractionated prostate cancers.

Conclusions:

MCO-informed VMAT optimization is an effective method for generating patient-specific optimal VMAT plans.
Weight tuning of objectives/constraints derived from MCO-IMRT DVH is necessary for optimal VMAT plan generation.
This approach offers a valuable alternative for improving radiotherapy treatment efficiency and quality.