| Literature DB >> 35015180 |
Si Eun Lee1, Nak-Hoon Son2, Myung Hyun Kim1, Eun-Kyung Kim3.
Abstract
We evaluated and compared the mammographic density assessment of an artificial intelligence-based computer-assisted diagnosis (AI-CAD) program using inter-rater agreements between radiologists and an automated density assessment program. Between March and May 2020, 488 consecutive mammograms of 488 patients (56.2 ± 10.9 years) were collected from a single institution. We assigned four classes of mammographic density based on BI-RADS (Breast Imaging Reporting and Data System) using commercial AI-CAD (Lunit INSIGHT MMG), and compared inter-rater agreements between radiologists, AI-CAD, and another commercial automated density assessment program (Volpara®). The inter-rater agreement between AI-CAD and the reader consensus was 0.52 with a matched rate of 68.2% (333/488). The inter-rater agreement between Volpara® and the reader consensus was similar to AI-CAD at 0.50 with a matched rate of 62.7% (306/488). The inter-rater agreement between AI-CAD and Volpara® was 0.54 with a matched rate of 61.5% (300/488). In conclusion, density assessments by AI-CAD showed fair agreement with those of radiologists, similar to the agreement between the commercial automated density assessment program and radiologists.Entities:
Keywords: Artificial intelligence; Breast density; Diagnosis, Computer-assisted; Digital mammography
Mesh:
Year: 2022 PMID: 35015180 PMCID: PMC8921363 DOI: 10.1007/s10278-021-00555-x
Source DB: PubMed Journal: J Digit Imaging ISSN: 0897-1889 Impact factor: 4.056