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Application of the ILO International Classification of Radiographs of Pneumoconioses to Digital Chest Radiographic Images

July 2008
DHHS (NIOSH) Publication Number 2008-139
Cover page for document 2008-139

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A NIOSH Scientific Workshop

The following content has been adapted from a presentation given at the NIOSH Scientific Workshop: Application of the ILO International Classification of Radiographs of Pneumoconioses to Digital Chest Radiographic Images.

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Acquisition and QC for classification of digital chest radiographs Group discussion and outcome

3 phase approach

  • Immediate terms (<1 yr)
  • Medium term (1-3 yrs)
  • Long term (3-6 yrs)

Immediate term (<1 yr) Approval elements

  • Acceptance criteria for equipment/facility
  • IQ consistency as the key goal
  • ACR guidelines as a starting point
  • Equipment attributes (eg, pixel size, bit- depth, baseline performance, resolution, MTF/NPS/DQE/eDQE, speed, QC utilities, DICOM compliance, …)

Immediate term (<1 yr) Approval elements

  • QA process in the facility incorporating specific attributes
  • QA process oversight (physicist oversight?)
  • Documentation of IQ in an standardized fashion (via phantoms) –recommended but required within a longer period of time
  • TG10 type testing performance

Immediate term (<1 yr) Approval elements

  • Acqusition protocol requirements
    • Scatter reduction: Grid (moving/stat), air gap, slot-scan, photon-counting
    • Beam quality (kVp, filter)
    • kW rating of generators
    • Providing an exposure index (TG116)
    • Exposure monitoring over time
    • AEC and/or exposure chart
    • AEC testing

Immediate term (<1 yr) Approval elements

  • Specific file format (processed and “for processing” as available, required for new equipment)
  • QC guidelines
  • Ongoing demonstration of quality
  • Beta testing of the approach

Medium term (1-3 yrs)

  • A more representative phantom with automated analysis and objective measures (MTF, NPS, eDQE, processing artifacts, imaging chain issues)
  • Exposure requirements (based on eDQE)
  • Integrated QC utility per image

Long term (3-6 yrs)

  • Automated disease classification
  • Automated IQ assessment based on image data