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Cumulative sum quality control for calibrated breast density measurements
John J Heine1, Ke Cao, Craig Beam
1Cancer Prevention and Control Division, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, Florida 33612, USA. john.heine@moffitt.org
Medical Physics
|January 26, 2010
Summary
Breast density standardization for mammography requires monitoring calibration data. Routine quality control missed system drift, necessitating periodic updates to ensure accurate breast density measurements and account for equipment wear.
Area of Science:
- Medical Imaging
- Radiology
- Biomedical Engineering
Background:
- Breast density is a key breast cancer risk factor.
- Current breast density measurement methods lack standardization.
- Accurate breast density assessment is crucial for risk stratification.
Purpose of the Study:
- To develop and evaluate a breast density standardization method for full-field digital mammography (FFDM).
- To calibrate for interpatient acquisition technique variations.
- To establish a normalized breast density pixel value scale.
Main Methods:
- A baseline (BL) calibration dataset was generated using phantom imaging.
- Serial samples from the BL dataset were imaged biweekly to assess reproducibility.
- Cumulative sum (Cusum) quality control evaluated serial sampling accuracy and system drift.
Main Results:
- Significant x-ray beam-dependent drift was observed in the BL calibration dataset.
- Routine quality control failed to detect this systematic drift, leading to calibration errors.
- Cusum analysis identified drift as an indicator of system wear and potential x-ray tube failure.
Conclusions:
- The BL calibration dataset requires continuous monitoring and periodic updates.
- Sustained system variations must be accounted for to maintain calibration accuracy.
- Proactive quality control is essential for reliable breast density standardization.
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