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- Mammography
Volpara Debuts Enhanced Breast Imaging Metrics
Volpara to present at RSNA 2014 next generation of VolparaAnalytics.
Volpara will showcase at RSNA 2014 VolparaAnalytics version 1.2.
Volpara Analytics is a centralized dashboard that presents key mammography metrics and automatically collates data from digital mammography and tomosynthesis units to enable cross-comparison of patient populations, mammography systems, and operator performance, Volpara said.
The new version of VolparaAnalytics will feature an enhanced user interface and reporting tools, and deliver expanded breast imaging metrics to users including additional quality metrics, new temporal analysis tools, additional tools to analyze patient positioning and patient dose, and time between study acquisition, Volpara said.
VolparaAnalytics runs on top of VolparaDensity, a software tool that helps radiologists objectively assess density from both digital mammography and tomosynthesis images and determine which women would benefit from additional screening.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
Mammography-Based AI Abnormality Scoring May Improve Prediction of Invasive Upgrade of DCIS
April 9th 2024Emerging research suggests that an artificial intelligence (AI) score of 75 or greater for mammography abnormalities more than doubles the likelihood of invasive upgrade of ductal carcinoma in situ (DCIS) diagnosed with percutaneous biopsy.
Mammography Study: AI Improves Breast Cancer Detection and Reduces Reading Time with DBT
April 3rd 2024An emerging artificial intelligence (AI) model demonstrated more than 12 percent higher specificity and reduced image reading time by nearly six seconds in comparison to unassisted radiologist interpretation of digital breast tomosynthesis (DBT) images.
