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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Knowledge-based automatic plan optimization for left-sided whole breast tomotherapy.

Pier Giorgio Esposito1, Roberta Castriconi1, Paola Mangili1

  • 1Medical Physics, San Raffaele Scientific Institute, Milano, Italy.

Physics and Imaging in Radiation Oncology
|July 11, 2022
PubMed
Summary

Knowledge-Based (KB) automatic planning for tomotherapy (TT) left-sided breast irradiation yielded plans comparable or superior to manual methods. This efficient approach significantly reduces planner time and is nearing clinical implementation.

Keywords:
AI in Radiation OncologyBreast cancerKnowledge-based modelsRadiotherapy planning optimizationTomotherapy

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Cancer Treatment

Background:

  • Tomotherapy offers high-quality whole breast irradiation using static angles.
  • Current treatment planning for left-sided breast cancer requires optimization.

Purpose of the Study:

  • To implement Knowledge-Based (KB) automatic planning for left-sided whole breast irradiation using tomotherapy.
  • To evaluate the efficacy and efficiency of KB automatic planning compared to traditional methods.

Main Methods:

  • A KB model was trained using 69 existing Tomotherapy (TT) clinical plans.
  • Virtual volumetric plans were generated and optimized using an automated template.
  • The KB-TT plans were validated internally (30 patients) and externally (10 patients).

Main Results:

  • KB-TT plans were successfully generated for most patients, with minor manual adjustments for a few.
  • Internal validation showed improvements in planning target volume coverage and organ-at-risk sparing compared to clinical plans.
  • External validation confirmed the satisfactory results, with treatment durations consistent with clinical practice and significantly reduced planner time (5-10 minutes).

Conclusions:

  • Knowledge-Based automatic planning for tomotherapy left-sided breast irradiation is feasible and effective.
  • KB-TT plans are comparable or superior to manually generated plans.
  • The approach offers significant time savings for radiation oncology planners and is under clinical implementation.