«The Mammography Reference Center North in Oldenburg, Germany and Berlin-based deep tech company Vara, are today announcing the peer-reviewed findings of a large-scale study into the detection of interval cancers using AI. The study has been published in the European Journal of Radiology.»
«The study is based on the largest cohort of interval cancer cases to be assessed by an algorithm – the study researchers were primarily interested in understanding how many retrospectively visible cancers that were overlooked by radiologists could be detected and found by AI. 374 of the 2,396 interval cancers in the cohort were considered “false negative” and 468 “minimal signs”. When the algorithm was set at an operating level of 99% specificity (above the specificity of the screening program at 97%), it could detect and localise 27,5% (103) of the “false negative” and 12,2% (57) of minimal sign cancers. With decreasing specificity, more interval cancers could be detected. However, evaluating any AI at this specificity is necessary to demonstrate how AI can be brought into a screening program without inducing a detrimental impact on false positive rates. This is important to women participating in screening, as the emotional burden of a false-positive screening mammogram is high.»
«What’s more, for some of the remaining cases (2,8%) in the cohort, the AI was able to identify where cancers would later appear in the breasts of women who initially showed no signs of malignancy, but later went on to develop cancer during the period between screening rounds.»
Article written by Leah.
Health Tech Digital