Volpara Imaging Software

Volpara Imaging Software utilizes raw digital breast x-ray and tomosynthesis data to generate quantitative density maps and calculate volumetric breast density, along with other metrics of tissue composition. This system provides objective measurements and BI-RADS categories as adjunctive information to aid clinicians in breast tissue assessment, supported by validation against phantoms, MRI data, and radiologist evaluations.

Volpara Imaging Software is an application designed to analyze raw data from digital breast x-ray systems, including tomosynthesis, to aid in breast tissue composition assessment. The software processes these images to generate detailed density maps, where each pixel value represents the thickness of fibroglandular tissue, and from these maps, it calculates volumetric breast density as a ratio of fibroglandular tissue volume to total breast volume, also providing additional quantitative metrics like average and maximum dense tissue thickness and maximum dense tissue volume over specific areas with their locations. The software outputs these numerical values, the density maps in DICOM SCI format for visualization, and an associated BI-RADS breast density category (4th or 5th Edition); its intended use is as adjunctive information for MQSA-qualified interpreting physicians, not as a standalone diagnostic tool. The system operates on a Windows server and has undergone extensive verification and validation, including accuracy testing against phantoms and MRI data, reproducibility assessments across different views, patient sides, imaging systems, and modalities (mammography vs. tomosynthesis), and comparison with radiologists' visual assessments, meeting all established criteria.

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• Q1. How does the software's algorithm differentiate between fibroglandular tissue and other breast tissues with varying x-ray attenuation, especially in tomosynthesis datasets?; What is the specific impact on clinical workflow and decision-making when integrating the additional quantitative statistics (e.g., max thickness of dense tissue) provided by version 1.5.2 compared to previous versions?; How does the software account for variations in image acquisition parameters (e.g., compression, exposure) across different mammography and tomosynthesis machines when calculating density maps and volumetric measurements?; What were the quantitative measures of agreement (e.g., Kappa statistic, correlation coefficients) between Volpara's BI-RADS categorization and those assigned by MQSA radiologists in the validation studies?; Beyond BI-RADS categorization, how might the detailed density maps and quantitative metrics for dense tissue distribution (e.g., location of maximum density) be utilized for personalized risk assessment or treatment planning?