Related Experiment Video
Updated: Feb 5, 2026
07:11
Treatment of Facial Deformities using 3D Planning and Printing of Patient-Specific Implants
Published on: May 23, 2020
7.9K
Tomotherapy treatment site specific planning using statistical process control
Diana Binny1, Craig M Lancaster2, Mikel Byrne3
1Radiation Oncology Centres, Redlands, Australia; Queensland University of Technology, Brisbane, Australia; Cancer Care Services, Royal Brisbane and Women's Hospital, Brisbane, Australia.
Summary
This study recommends site-specific helical tomotherapy delivery parameters for improved treatment efficiency. Optimal ranges for gantry period and leaf open time (LOT) were identified, reducing multi-leaf collimator (MLC) inaccuracies.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiotherapy Technology
Background:
- Investigated planned multi-leaf collimator (MLC) distribution and treatment region-specific parameters.
- Aimed to recommend optimal delivery parameters using statistical process techniques.
Purpose of the Study:
- To determine optimal helical tomotherapy delivery parameters based on treatment site.
- To compare derived parameters against vendor recommendations and existing literature.
Main Methods:
- Delivered 28 head and neck, 19 pelvic, and 23 brain plans on a helical tomotherapy system (2.5 cm field width).
- Analyzed parameters including gantry period, leaf open time (LOT), modulation factor, and couch travel.
- Evaluated plans that passed quality assurance to derive optimal parameter ranges.
Main Results:
- No correlation found between vendor-recommended gantry period and minimum LOT percentage.
- Observed gantry period ranges: 16-21s (head and neck), 15-22s (pelvis), 13-18s (brain).
- Brain plans showed the highest percentage of LOT > 100ms (53.9 ± 9.2%).
Conclusions:
- Proposed using treatment site-specific delivery parameters for helical tomotherapy planning.
- Provided detailed recommendations and limitations for the studied patient cohort.
- Aimed to enhance treatment delivery efficiency by minimizing MLC distribution inaccuracies.
Related Concept Videos
01:15Introduction to Statistical Process Control
653
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...
653
01:25Role of Communication in the Nursing Process II: Planning and Implementation
2.7K
Several factors are considered while creating a patient's care plan. Motivation is a factor in improving communication, and patients often require encouragement to try different approaches involving significant change. It is essential to involve the patient and family in decisions about the plan of care to determine whether the suggested methods are acceptable. Consider meeting critical comfort and safety needs before introducing new communication methods and techniques. Allow adequate time...
2.7K
01:50Statistical Significance
21.9K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
21.9K
01:24Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation
2.1K
Planning for learning involves the development of a teaching plan. Teaching plans are similar to nursing care plans—both follow the steps of the nursing process. Planning in the teaching process involves setting goals and outcomes. Here, goals identify what a patient needs to achieve to understand a healthcare topic better, whereas the outcomes are the action to be performed by the patient to achieve the goal within a timeframe. For example, if the goal is to educate the patient about...
2.1K
01:14Probability in Statistics
23.4K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
23.4K
01:17Introduction to Statistics
64.0K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
64.0K