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iCAD Releases Enhanced ProFound Detection Workstation Features to Streamline Mammogram Interpretation for Radiologists

Imaging Technology

“We're excited to introduce advanced workstation features for our flagship solution, ProFound Detection, aimed at further improving and facilitating radiologists' interpretation of mammograms within their workstation,” said Dana Brown , President and CEO of iCAD. Detection in 2018, and V3.0 in 2016, followed by 3D V2.0

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AI helps out with spotting, localizing interval breast cancers

AuntMinnie

AI software can help increase detection of interval cancers on screening mammograms that were missed by two human readers, according to research published August 27 in Radiology. Lunit) to 2,052 screening mammograms acquired between January 2011 to December 2018 and interpreted by two readers.

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Biomarker model predicts breast cancer risk without racial bias

AuntMinnie

However, mammograms contain highly predictive biomarkers of future cancer risk. They conducted a study that included 129,340 routine bilateral screening mammograms performed in 71,479 women between 2009 to 2018 with five-year follow-up data. Mammograms contain highly predictive biomarkers of future cancer risk.

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Study on breast density notification narratives draws mixed reaction

AuntMinnie

In 2018, she led a study on automated breast density assessment for informing cancer risk, and in 2022, she and colleagues studied the impact of digital breast tomosynthesis (DBT) on imaging dense breasts. Kerlikowske has studied breast density on imaging. The study can be found here.

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AI shows promise as first reader in breast cancer screening

AuntMinnie

The team included data from 257,671 screening mammograms performed between 2014 and 2018. They assessed the system’s detection accuracy in two scenarios, standalone and integrated screening replacing the first reader. They also compared the results with those of first reading and combined reading. Specificity 97.8%

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Lunit AI Releases Successful Study Results on Breast Cancer Screening Deployment

Imaging Technology

Efficiency Gains and Enhanced Screening Metrics The follow-up study analyzed screening metrics from two nine-month periods: July 2018–March 2019 (pre-AI/pre-COVID) and July 2023–March 2024 (post-AI implementation). Previously, the waiting time for a clinical mammogram was five to six weeks. Now, with AI, it’s down to zero.”

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Can customized reader pairing boost mammo double reading performance?

AuntMinnie

Gommers and colleagues sought to discover whether radiologist performance characteristics can be used to determine the best pairs of radiologists to double read screening mammograms. In total, the team included data from 3,592,414 mammography exams.