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Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
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Assessing initial plan check efficacy using TG 275 failure modes and incident reporting.

Adam C Riegel1,2, Cynthia Polvorosa1, Anurag Sharma1

  • 1Department of Radiation Medicine, Northwell Health, Lake Success, New York, USA.

Journal of Applied Clinical Medical Physics
|May 10, 2022
PubMed
Summary
This summary is machine-generated.

Radiation oncology plan checks are crucial for quality assurance. A review found that daily contouring peer reviews improved upstream error detection, though some failure modes remain inadequately covered, necessitating policy enhancements.

Keywords:
Chart checkingincident reportingpatient safetyquality management

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Quality Assurance

Background:

  • Robust quality assurance (QA) programs are essential in radiation oncology.
  • The American Association of Physicists in Medicine (AAPM) published Task Group (TG) 275 and Medical Physics Practice Guideline (MPPG) 11.A on plan and chart checking.
  • Evaluating institutional QA programs against established guidelines is critical for identifying and mitigating risks.

Purpose of the Study:

  • To crosswalk initial plan check failure modes from AAPM TG 275 with the institution's QA program and incident data.
  • To identify gaps in the current QA process for high-risk failure modes.
  • To analyze the efficacy of different QA steps in detecting errors.

Main Methods:

  • Ten physicists reviewed 46 high-risk failure modes from the TG 275 report.
  • Institutional planning process steps were assessed for coverage of these failure modes.
  • A multidisciplinary committee analyzed 1599 incidents from the Radiation Oncology Incident Learning System (ROILS) database.
  • Incidents were categorized according to TG 275 failure modes.

Main Results:

  • Over half of the 46 high-risk failure modes were partially covered by daily contouring peer-review rounds, upstream of the initial plan check.
  • Five failure modes, including those related to pregnancy, pacemakers, and prior dose, were not adequately covered.
  • Physics review and initial plan check showed lower error detection rates (31.8% and 31.3%) for certain failure modes.
  • Most incidents related to initial plan checks (710 of 1599) were detected before CT simulation (98.8%).

Conclusions:

  • Daily contouring peer-review rounds enhance upstream error detection in radiation oncology.
  • Gaps in QA processes require attention, particularly for failure modes concerning patient-specific factors.
  • Enhancements to policies, procedures, and automation are recommended to improve the QA program.
  • Departments should review their internal chart checking policies and procedures, guided by AAPM TG 275 and MPPG 11.A.