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Related Concept Videos

Radiation: Applications01:17

Radiation: Applications

The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...

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Updated: Jul 7, 2026

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
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Comparison between margin-growing algorithms in radiotherapy software environments.

D W Smith1, A M Morgan, A M Pooler

  • 1Department of Medical Physics, Cookridge Hospital, Leeds Teaching Hospitals Trust, Leeds LS16 6QB, UK. David-W.Smith@leedsth.nhs.uk

The British Journal of Radiology
|February 20, 2008
PubMed
Summary
This summary is machine-generated.

Margin-growing algorithms in radiotherapy software show consistent results across different systems, with variations within 1.33 mm regardless of CT slice thickness. This consistency is crucial for reliable treatment planning.

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Enhanced Communication of Tumor Margins Using 3D Scanning and Mapping
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Published on: December 15, 2023

Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Image Analysis

Background:

  • Margin-growing algorithms are integral to radiotherapy virtual simulation and treatment planning software.
  • Accurate margin expansion is critical for effective radiation dose delivery and patient safety.

Purpose of the Study:

  • To evaluate the accuracy and consistency of margin-growing algorithms across six commercial radiotherapy software packages.
  • To assess the impact of computed tomography (CT) slice thickness on the performance of these algorithms.

Main Methods:

  • A phantom with spheres and rods was scanned using CT at various slice thicknesses (1.25-5 mm).
  • Structures were contoured in GE Advantage Simulator and transferred to five other software systems (MasterPlan, Xio, Pinnacle, Eclipse, Prosoma).
  • Isotropic margin growth (10, 20, 30 mm) was applied, and volumes of original and grown contours were recorded and compared.

Main Results:

  • Significant differences in reported volumes were observed when transferring structure sets between software environments.
  • No correlation was found between volume accuracy and CT slice thickness.
  • Margin growth up to 30 mm demonstrated consistency within 1.33 mm across systems and slice thicknesses for rods and spheres.

Conclusions:

  • While individual software packages may report different volumes for the same structures, margin growth itself is generally consistent across systems.
  • Slice thickness does not significantly influence the accuracy of margin growth.
  • Software consistency in volume reporting is desirable, but the impact should be considered alongside inter-clinician variability in contouring.