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

Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...

You might also read

Related Articles

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

Sort by
Same author

Evening primrose and its compounds of 1-Oxohederagenin and remangilone C ameliorate bleomycin-induced pulmonary fibrosis by regulating β-catenin signaling.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2024
Same author

Engineered nanovesicles mediated cardiomyocyte survival and neovascularization for the therapy of myocardial infarction.

Colloids and surfaces. B, Biointerfaces·2024
Same author

Outer membrane vesicles from commensal microbes contribute to the sponge Tedania sp. development by regulating the expression level of apoptosis-inducing factor (AIF).

Communications biology·2024
Same author

Dietary supplementation with Macleaya cordata extract alleviates intestinal injury in broiler chickens challenged with lipopolysaccharide by regulating gut microbiota and plasma metabolites.

Frontiers in immunology·2024
Same author

Polyaptamer-Driven Crystallization of Alendronate for Synergistic Osteoporosis Treatment through Osteoclastic Inhibition and Osteogenic Promotion.

ACS nano·2024
Same author

Efficacy of hip abductors exercise training combined with repetitive transcranial magnetic stimulation on knee osteoarthritis: A randomized controlled trial.

Technology and health care : official journal of the European Society for Engineering and Medicine·2024
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
Same journal

A novel optical respiratory gating system with a hybrid phase-amplitude algorithm for spot-scanning proton therapy.

Medical physics·2026
Same journal

Gamma Knife treatment planning using knowledge-based reinforcement learning.

Medical physics·2026
Same journal

Development and characterization of a novel, small animal external beam irradiator using a clinical high dose rate brachytherapy source.

Medical physics·2026
Same journal

Deep learning-based dose prediction for MR-guided prostate SIB: Supporting rapid feasibility assessment and adaptive editing margin selection.

Medical physics·2026
See all related articles

Related Experiment Video

Updated: Jun 28, 2026

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

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

Statistical process control for IMRT dosimetric verification.

Stephen L Breen1, Douglas J Moseley, Beibei Zhang

  • 1Radiation Physics Department, Princess Margaret Hospital, 610 University Avenue, Toronto, Ontario M5G 2M9, Canada. Stephen.Breen@rmp.uhn.on.ca

Medical Physics
|November 4, 2008
PubMed
Summary
This summary is machine-generated.

Statistical process control (SPC) analysis of 330 head and neck intensity-modulated radiotherapy (IMRT) plans shows stable dosimetry within accepted tolerances. This method enhances quality control for IMRT, ensuring reliable patient treatments over time.

More Related Videos

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

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

Related Experiment Videos

Last Updated: Jun 28, 2026

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

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

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

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

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Quality Assurance

Background:

  • Intensity-modulated radiotherapy (IMRT) requires precise dosimetry validation.
  • Traditional quality control methods for IMRT may benefit from advanced statistical analysis.

Purpose of the Study:

  • To evaluate the long-term dosimetric performance of IMRT using statistical process control (SPC).
  • To establish dosimetric tolerances and action levels for head and neck (H&N) IMRT.
  • To assess the number of measurements needed for clinical IMRT dosimetry assessment.
  • To validate a new beam model in the treatment planning system using SPC.

Main Methods:

  • Analysis of dosimetric measurements from 330 H&N IMRT treatment plans.
  • Application of SPC concepts to assess planned vs. measured dose differences in high-dose volumes (PTV) and low-dose volumes (organ-at-risk).
  • Utilized PINNACLE treatment planning system and Varian/Elekta linear accelerators for planning and treatment.

Main Results:

  • IMRT dosimetry was found to be stable over time across a large series of H&N cases.
  • Measurements with earlier planning system versions showed discrepancies, particularly in low-dose regions, attributed to MLC model limitations.
  • Updated planning system versions demonstrated improved accuracy with mean differences close to zero for PTV and organ-at-risk.
  • SPC evaluation of a new beam model indicated minimal systematic differences.

Conclusions:

  • SPC is a valuable tool for enhancing traditional quality control in IMRT.
  • The study demonstrates stable and acceptable IMRT dosimetry for H&N patients.
  • Findings provide insights for assessing and improving treatment planning system beam models.