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Updated: Aug 28, 2025
08:39
Fabrication of Compressed Hosiery and Measurement of its Pressure Characteristic Exerted on the Lower Limbs
Published on: May 27, 2020
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[Breast Decompression Using Automatic Pressure Reduction Control Function: Relationship between Breast Thickness,
Ayuna Taguchi1, Hiroshi Kodama1, Mayumi Kinoshita1
1Department of Radiology, Ashiya Municipal Hospital.
Nihon Hoshasen Gijutsu Gakkai Zasshi
|September 14, 2022
Summary
Breast density and initial compression pressure impact mammography decompression. Lower initial compression pressure on dense breasts facilitates successful decompression using compression control function (CCF).
Area of Science:
- Radiology and Medical Imaging
- Biomedical Engineering
- Diagnostic Imaging Technology
Context:
- Mammography utilizes compression control function (CCF) for consistent imaging.
- Understanding factors influencing CCF performance is crucial for optimizing mammographic procedures.
- Breast density and compression parameters are key variables in mammography.
Purpose:
- To investigate the influence of breast density and initial compression pressure on compressed breast thickness (CBT) and post-decompression pressure using CCF.
- To determine if CCF's decompression effectiveness is affected by patient-specific factors and applied forces.
Summary:
- A retrospective study of 779 mammograms revealed significant differences in CBT between non-dense and dense breasts.
- Initial compression pressure influenced post-decompression pressure (∆P), particularly in non-dense breasts at higher initial pressures (130-140 N).
- CCF decompression was more frequently unsuccessful in non-dense breasts, suggesting breast density is a critical factor.
Impact:
- Findings indicate that breast density and initial compression pressure significantly affect CCF performance during mammography.
- Optimizing CCF parameters based on breast density may improve decompression consistency and diagnostic accuracy.
- This research contributes to refining mammographic techniques for better patient outcomes.
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