AAPM task group report 305: Guidance for standardization of vendor-neutral reject analysis in radiography

Kevin Little, Ingrid Reiser, Bruce Apgar, Poonam Dalal, Jaydev Dave, Ryan Fisher, Katie Hulme, Mary Ellen Jafari, Emily Marshall, Stephen Meyer, Quentin Moore, Nicole Murphy, Thomas Nishino, Katelyn Nye, Kevin O'Donnell, John Sabol, Adrian Sanchez, William Sensakovic, Lawrence Tarbox, Robert UzenoffAlisa Walz-Flannigan, Charles Willis, Jie Zhang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Reject rate analysis is considered an integral part of a diagnostic radiography quality control (QC) program. A rejected image is a patient radiograph that was not presented to a radiologist for diagnosis and that contributes unnecessary radiation dose to the patient. Reject rates that are either too high or too low may suggest systemic department shortcomings in QC mechanisms. Due to the lack of standardization, reject data often cannot be easily compared between radiography systems from different vendors. The purpose of this report is to provide guidance to help standardize data elements that are required for comprehensive reject analysis and to propose data reporting and workflows to enable an effective and comprehensive reject rate monitoring program. Essential data elements, a proposed schema for classifying reject reasons, and workflow implementation options are recommended in this task group report.

Original languageEnglish (US)
Article numbere13938
JournalJournal of applied clinical medical physics
Volume24
Issue number5
DOIs
StatePublished - May 2023

Keywords

  • Computed radiography
  • digital radiography
  • radiography
  • reject
  • reject rate
  • reject rate analysis
  • repeat

ASJC Scopus subject areas

  • Radiation
  • Instrumentation
  • Radiology Nuclear Medicine and imaging

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