AI shows promise as first reader in breast cancer screening

A commercial AI system achieved high marks as a first reader in double-reader settings for breast cancer screening, a Danish study published December 20 in Cancer Imaging found. Researchers led by Mohammad Elhakim, MD, from Odense University Hospital found that a standalone AI system achieved high specificity as a first reader and for combined reading, along with moderate sensitivity for both reading scenarios. Integrated AI meanwhile overall improved sensitivity compared with combined reading, albeit with lower specificity. “Replacing the first reader in double reading with AI could be feasible, but choosing an appropriate AI threshold is crucial to maintaining cancer detection accuracy and workload,” Elhakim and colleagues wrote. While double reading in breast cancer screening is used in Europe, radiologist shortages and capacity issues could hinder the feasibility of this method. With this in mind, the Danish Health Authority in 2022 recommended replacing first readers in double reading settings with AI if the technology is proven to be efficient. Elhakim and co-authors studied the effectiveness of a commercially available AI system (Transpara version 1.7.0, ScreenPoint Medical BV) in a Danish screening population. 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. The team included data from 257,671 screen...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Womens Imaging Source Type: news