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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Quality Assurance Peer Review for Radiotherapy for Haematological Malignancies.

R Samuel1, E Thomas1, D Gilson1

  • 1Department of Clinical Oncology, Leeds Cancer Centre, Leeds, UK.

Clinical Oncology (Royal College of Radiologists (Great Britain))
|July 13, 2019
PubMed
Summary

Weekly peer review of radiotherapy planning contours for hematological malignancies led to a high rate of recommended changes, benefiting all patient groups and clinician experience levels. This process ensures quality in radiation oncology.

Keywords:
Lymphomapeer reviewplasmacytomaquality assuranceradiotherapy

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Clinical Haematology

Background:

  • Radiotherapy planning requires precise contouring of target volumes and organs at risk.
  • Peer review is a quality assurance process that can identify potential improvements in radiotherapy plans.

Purpose of the Study:

  • To evaluate the impact of weekly peer review of radiotherapy planning contours for hematological malignancies.
  • To determine the rate of recommended changes and their characteristics.

Main Methods:

  • Prospective analysis of a database of contour-based peer review meetings.
  • Inclusion of patients undergoing definitive radiotherapy for hematological malignancies.
  • Classification of recommended changes (GTV, CTV, PTV, OARs, dose fractionation) and univariate analysis of influencing factors.

Main Results:

  • 92% of eligible cases were peer reviewed.
  • 16.5% of cases had recommended changes, with CTV increase being most common (12.7%).
  • No significant associations found between recommended changes and disease or treatment characteristics, or consultant experience.

Conclusions:

  • Weekly contour-based peer review effectively identifies necessary changes in radiotherapy planning for hematological malignancies.
  • High compliance and broad applicability suggest peer review is beneficial across diverse clinical scenarios and experience levels.
  • This quality assurance method enhances radiotherapy planning for cancer patients.