Brasier-Lutz P, Jäggi-Wickes C, Schaedelin S, Burian R, Schoenenberger CA, Zanetti-Dällenbach R. Agreement in breast lesion assessment and final BI-RADS classification between radial and meander-like breast ultrasound.
BMC Med Imaging 2021;
21:104. [PMID:
34157997 PMCID:
PMC8220682 DOI:
10.1186/s12880-021-00632-1]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 06/04/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND
This study prospectively investigates the agreement between radial (r-US) and meander-like (m-US) breast ultrasound with regard to lesion location, lesion size, morphological characteristics and final BI-RADS classification of individual breast lesions.
METHODS
Each patient of a consecutive, unselected, mixed collective received a dual ultrasound examination.
RESULTS
The agreement between r-US and m-US for lesion location ranged from good (lesion to mammilla distance ICC 0.64; lesion to skin distance ICC 0.72) to substantial (clock-face localization κ 0.70). For lesion size the agreement was good (diameter ICC 0.72; volume ICC 0.69), for lesion margin and architectural distortion it was substantial (κ 0.68 and 0.70, respectively). Most importantly, there was a substantial agreement (κ 0.76) in the final BI-RADS classification between r-US and m-US.
CONCLUSIONS
Our recent comparison of radial and meander-like breast US revealed that the diagnostic accuracy of the two scanning methods was comparable. In this study, we observe a high degree of agreement between m-US and r-US for the lesion description (location, size, morphology) and final BI-RADS classification. These findings corroborate that r-US is a suitable alternative to m-US in daily clinical practice. Trial registration NCT02358837. Registered January 2015, retrospectively registered https://clinicaltrials.gov/ct2/results?cond=&term=NCT02358837&cntry=&state=&city=&dist =.
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