Lunit AI Matches Radiologists in Breast Cancer Detection

Lunit, a forefront provider of AI-based solutions for cancer diagnostics and therapeutics, has announced the validation of its AI-powered mammography analysis solution, Lunit INSIGHT MMG, for standalone breast cancer detection. This confirmation comes from a study recently published in European Radiology, led by Dr. Johanne Kühl and Dr. Mohammad Talal Elhakim at the University of Southern Denmark. The study compared the performance of Lunit's AI system to first-reading breast radiologists across a comprehensive screening population.

The research, encompassing mammography screenings from August 4, 2014, to August 15, 2018, in the Region of Southern Denmark, included 249,402 screenings involving 149,495 women and identified 2,033 cases of breast cancer. These screenings underwent assessment by breast radiologists through double-reading with arbitration.

Key findings revealed that when Lunit INSIGHT MMG's cut-off score matched the first reader mean specificity, its overall accuracy was statistically equivalent to that of radiologists. However, aligning the AI threshold with the first reader mean sensitivity showed slightly lower specificity (97.5% vs. 97.7%), positive predictive value (17.5% vs. 18.7%), and a slightly higher recall rate (3.0% vs. 2.8%) compared to first readers.

The study indicates the potential for Lunit INSIGHT MMG to replace first readers in a mammography double-reading setting by utilizing an appropriate cut-off score. Cancers detected by AI but missed by radiologists suggest that integrating AI support in screening could increase overall detected cancer rates without significantly altering the clinicopathological characteristics of the detected cancers.

Brandon Suh, CEO of Lunit, commented, "Following our initial prospective study in Sweden, where Lunit INSIGHT MMG demonstrated its capability to replace one human reader in Europe's double-reading setting at Capio S:t Göran Hospital, we are excited about the outcomes of this recently published study. It further confirms the effectiveness of Lunit INSIGHT MMG in standalone breast cancer detection." Suh highlighted the potential of their AI solution to significantly improve mammography screenings, enhancing cancer detection rates and supporting radiologists by alleviating their workloads. Ultimately, Lunit INSIGHT MMG stands poised as an essential tool for hospitals and patients alike.