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Technical Note: Display window setting: An important factor for detecting subtle but clinically relevant artifacts in

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Using a narrow display window width (WW) of 40 HU significantly improved computed tomography (CT) technologists' ability to detect subtle artifacts in daily quality control (dQC) images compared to the standard 100 HU setting.

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Area of Science:

  • Medical Imaging Physics
  • Radiologic Technology
  • Quality Assurance in Healthcare

Background:

  • Daily quality control (dQC) in computed tomography (CT) is crucial for ensuring image quality.
  • Detecting subtle artifacts is challenging and impacts diagnostic accuracy.
  • Display settings, such as window width (WW), can influence artifact visibility.

Purpose of the Study:

  • To evaluate the impact of different display window width (WW) settings on CT technologists' performance in detecting subtle artifacts during dQC.
  • To compare artifact detection rates using a narrow WW (40 HU) versus a standard WW (100 HU).

Main Methods:

  • Retrospective analysis of 53 dQC image sets (30 artifact-free, 23 with subtle artifacts).
  • Six CT technologists (2 new, 4 experienced) reviewed images under two WW conditions (40 HU and 100 HU) at a fixed window level (0 HU).
  • Artifact detection performance was assessed using the area under the receiver operating characteristic curve (AUC).

Main Results:

  • A narrow WW of 40 HU significantly improved artifact detection AUC for experienced technologists (0.768 vs. 0.658, p = 0.009) and overall technologists (0.694 vs. 0.616, p = 0.040).
  • Performance for new technologists showed a trend towards improvement but did not reach statistical significance at 40 HU.
  • The standard WW of 100 HU yielded lower AUC values across all technologist groups.

Conclusions:

  • A narrow display window width (40 HU) enhances CT technologists' ability to detect subtle, clinically relevant artifacts in dQC images.
  • Optimizing display settings is a simple yet effective strategy to improve CT quality control processes.
  • Further research may explore optimal WW settings for various artifact types and clinical tasks.