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

Clinically Relevant Drug Product Specifications: Methods of Establishment01:29

Clinically Relevant Drug Product Specifications: Methods of Establishment

224
Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...
224
Reliability and Validity01:29

Reliability and Validity

14.1K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.1K
Group Design02:01

Group Design

10.8K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.8K
Data Validation01:15

Data Validation

2.3K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
2.3K
Data Validation01:03

Data Validation

7.0K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
7.0K
Factorial Design02:01

Factorial Design

14.2K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
14.2K

You might also read

Related Articles

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

Sort by
Same author

AAPM MPLA case: Betrayal versus disillusionment.

Journal of applied clinical medical physics·2024
Same author

Implementation of a patient safety training program in radiation oncology residency: A pilot study.

Journal of applied clinical medical physics·2024
Same author

Survival and Radiation Dose Differences Between Single Versus Multi-Session Gamma Knife Stereotactic Radiosurgery in Patients Treated for Multiple (≥10) Brain Metastases.

Cureus·2023
Same author

MPLA case: How do you lead as a lead physicist?

Journal of applied clinical medical physics·2023
Same author

Daily Quality Assurance Efficiency Evaluation Using SunCHECK Machine and Machine Performance Check.

Cureus·2023
Same author

Disparities in Radiation Therapy: Practice Patterns Analysis of Deep Inspiratory Breath Hold Use in Non-English Speakers.

International journal of radiation oncology, biology, physics·2022

Related Experiment Video

Updated: Feb 14, 2026

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

6.0K

A clinically relevant IMRT QA workflow: Design and validation.

Cassandra Stambaugh1, Gary Ezzell2

  • 1Department of Radiation Oncology, Tufts Medical Center, Boston, MA, 02111, USA.

Medical Physics
|February 27, 2018
PubMed
Summary

This study establishes optimal gamma analysis criteria for intensity-modulated radiation therapy quality assurance (IMRT QA) plans. It introduces a workflow using dose-volume histogram (DVH) metrics to efficiently identify and analyze plans needing further review, improving error detection.

Keywords:
IMRT QADVH-based IMRT QAROC analysispatient-specific QA

More Related Videos

A Model to Simulate Clinically Relevant Hypoxia in Humans
09:54

A Model to Simulate Clinically Relevant Hypoxia in Humans

Published on: December 22, 2016

9.4K
Author Spotlight: Developing Innovative Therapeutic Strategies for Hemorrhagic Shock Research
08:14

Author Spotlight: Developing Innovative Therapeutic Strategies for Hemorrhagic Shock Research

Published on: March 22, 2024

2.0K

Related Experiment Videos

Last Updated: Feb 14, 2026

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

6.0K
A Model to Simulate Clinically Relevant Hypoxia in Humans
09:54

A Model to Simulate Clinically Relevant Hypoxia in Humans

Published on: December 22, 2016

9.4K
Author Spotlight: Developing Innovative Therapeutic Strategies for Hemorrhagic Shock Research
08:14

Author Spotlight: Developing Innovative Therapeutic Strategies for Hemorrhagic Shock Research

Published on: March 22, 2024

2.0K

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Quality Assurance

Background:

  • Intensity-modulated radiation therapy (IMRT) quality assurance (QA) relies on gamma analysis to verify treatment plan accuracy.
  • Current gamma analysis criteria may not always provide clinically relevant pass/fail decisions, necessitating further investigation for questionable plans.

Purpose of the Study:

  • To establish clinically relevant pass/fail criteria for IMRT QA gamma analysis.
  • To identify which IMRT QA plans warrant further analysis using dose-volume histogram (DVH) metrics.
  • To develop an efficient workflow for DVH-based analysis of IMRT QA plans.

Main Methods:

  • Selected IMRT plans were modified to simulate underdosing targets or overdosing critical structures.
  • Seventy-six modified plans were analyzed using various gamma criteria (e.g., 3%/2 mm).
  • Receiver operator characteristic (ROC) curves determined optimal pass/fail thresholds, and DVH analysis was performed for questionable plans.

Main Results:

  • The 3%/2 mm gamma criterion with a 95% pass and 90% fail threshold demonstrated optimal error detection.
  • DVH analysis showed good agreement with reconstructed plans, except for target underdosing at the periphery.
  • Comparing organ-specific DVHs to physician-provided constraints proved an effective workflow for questionable plans.

Conclusions:

  • Optimized gamma analysis thresholds improve IMRT QA error detection efficiency.
  • DVH-based analysis, guided by pass/fail thresholds, minimizes unnecessary complex analysis and physician burden.
  • DVH analysis offers superior, structure-specific insights compared to traditional methods for IMRT QA.