Mammography and tomosynthesis images have been deidentified and analyzed by Volpara Health.
Mammography technologists rely on Volpara Health to improve mammogram quality.
Automated Image Evaluation
The primary focus of every TruPGMI image evaluation (of both standard views) is to assess whether all breast tissue is imaged. As a rule, irrespective of the view, all breast tissue must be imaged, inferring that fat tissue should be visualized posterior to glandular tissue. Obviously, the same rules cannot apply precisely to partial views, magnified views, and views with special view modifiers.
The TruPGMI method first identifies positioning deficiencies and then categorizes each image as Perfect ( P ), Good ( G ), Moderate ( M ), or Inadequate ( I ), resulting in an overall assessment of its quality from a positioning perspective.
This automated approach is based on best practices from around the world (including the UK PGMI standard) and enables breast imaging centers to achieve a high standard of mammographic image quality; to provide an objective training program to advance technologist performance; and more easily prepare for external quality audits such as the Food and Drug Administration (FDA) Enhancing Quality Using the Inspection Program (EQUIP) initiative.
“The techs love, love, love, Volpara. I catch them looking at it all the time and their scores are proof.”
– Denise Foster RT (R) (M), Lead Mammography Technologist at Southern IL Healthcare / The Breast Center of Carbondale
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