Related Experiment Video
Updated: Feb 13, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
Published on: October 8, 2017
Reference dosimetry data and modeling challenges for Elekta accelerators based on IROC-Houston site visit data.
James R Kerns1,2,3, David S Followill1,2,3, Jessica Lowenstein1,2
1Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Independent dosimetry data from over 50 Elekta linear accelerators (linacs) were analyzed. While basic parameters like output factors agreed well, complex factors showed significant discrepancies with treatment planning system (TPS) calculations.
Area of Science:
- Medical Physics
- Radiation Oncology
- Dosimetry
Background:
- Reference dosimetry data is crucial for validating treatment planning system (TPS) calculations.
- The Imaging and Radiation Oncology Core at Houston (IROC-Houston) has collected extensive data on linear accelerators (linacs).
Purpose of the Study:
- To analyze dosimetry data from numerous Elekta linacs to provide an independent check for TPS commissioning and validation.
- To compare measured dosimetric parameters with institutional TPS calculations for Elekta linacs.
Main Methods:
- Analysis of data from approximately 50 Elekta linacs collected between 2000 and 2014.
- Point dose measurements in a water phantom for parameters including percentage depth dose, output factors, small-field output factors, off-axis factors, and wedge factors.
- Comparison of measured data against TPS calculations for each linac, stratified by energy (6, 10, 15, 18 MV).
Main Results:
- Reference dosimetry values were compiled and analyzed by linac head type.
- Percentage depth dose and output factors generally showed good agreement between measurements and TPS.
- Small-field output factors, off-axis factors, and wedge factors frequently exhibited substantial disagreement with TPS calculations.
Conclusions:
- Collected reference data for Elekta linacs offers physicists an independent verification method to prevent significant treatment errors.
- Identified dosimetric parameters that are more prone to error, providing practical guidance for TPS commissioning in radiation oncology.
Related Concept Videos
Data Reporting and Recording
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
How Data are Classified: Numerical Data
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Data Validation
Key parameters for method validation include:
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Data Collection II

