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Related Concept Videos

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  11. Evaluation Of Ethos Intelligent Optimization Engine For Left Locally Advanced Breast Cancer.
  1. Home
  3. Research Domains
  5. Engineering
  7. Environmental Engineering
  9. Air Pollution Modelling And Control
  11. Evaluation Of Ethos Intelligent Optimization Engine For Left Locally Advanced Breast Cancer.

Related Experiment Video

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Evaluation of Ethos intelligent optimization engine for left locally advanced breast cancer.

Jessica Prunaretty1, Laura Lopez1, Morgane Cabaillé1

  • 1Radiotherapy Department, Montpellier Regional Cancer Institute, Montpellier, France.

Frontiers in Oncology
|July 17, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Automated treatment planning for left-sided breast cancer using the Ethos system proved feasible and clinically acceptable. This approach offers comparable quality to manual plans while significantly reducing workflow time and variability.

Keywords:
AIIOEautomationbreast cancer

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Cancer Treatment

Background:

  • Standardizing treatment planning for left-sided breast cancer with regional lymph node involvement is crucial for consistent patient care.
  • The Ethos Treatment Planning System (TPS) offers potential for automated plan generation, aiming to improve efficiency and reduce inter-operator variability.

Purpose of the Study:

  • To evaluate the feasibility and clinical acceptability of using a standard Ethos planning template for treating left-sided breast cancer with regional lymph nodes.
  • To compare automated Ethos plans with manually generated plans in terms of dosimetric quality, organ-at-risk sparing, and treatment delivery efficiency.

Main Methods:

  • A planning template was developed using a cohort of 5 patients and validated on 15 patients with locally advanced left breast cancer.
ethos
  • Automated plans were generated using the Ethos TPS with standard 3 partial arc VMAT and specific collimator angles (45/285/345° and 30/60/330°).
  • Automated plans were compared to manually created plans using dosimetric indices (PTV/CTV coverage, homogeneity, conformity) and organ-at-risk doses, followed by blinded clinical assessment by radiation oncologists.

    • Main Results:

    • Automated plans demonstrated comparable PTV coverage and significantly improved CTV_breast D99% (p<0.002) versus manual plans, with equivalent organ-at-risk doses.
    • Treatment delivery showed increased Monitor Units (MUs) for automated plans but no change in beam-on time; gamma index pass rates exceeded 98%.
    • Blinded evaluation deemed a majority of automated plans clinically acceptable (13/15 for Ethos 45°, 11/15 for Ethos 30°).

    Conclusions:

    • The Ethos TPS can generate clinically acceptable automated treatment plans for locally advanced breast cancer using a standard template, comparable to manual plans.
    • Automated planning significantly reduces workflow time and operator variability, enhancing efficiency and consistency in radiation oncology.