Automated classification of focal breast lesions according to S-detect: validation and role as a clinical and teaching tool

Automated classification of focal breast lesions according to S-detect: validation and role as a... Purpose To assess the diagnostic performance and the potential as a teaching tool of S-detect in the assessment of focal breast lesions. Methods 61 patients (age 21–84 years) with benign breast lesions in follow-up or candidate to pathological sampling or with suspicious lesions candidate to biopsy were enrolled. The study was based on a prospective and on a retrospective phase. In the prospective phase, after completion of baseline US by an experienced breast radiologist and S-detect assessment, 5 operators with different experience and dedication to breast radiology performed elastographic exams. In the retrospective phase, the 5 operators performed a retrospective assessment and categorized lesions with BI-RADS 2013 lexicon. Integration of S-detect to in-training operators evaluations was performed by giving priority to S-detect analysis in case of disagreement. 2 × 2 contingency tables and ROC analysis were used to assess the diagnostic performances; inter-rater agreement was meas- ured with Cohen’s k; Bonferroni’s test was used to compare performances. A significance threshold of p = 0.05 was adopted. Results All operators showed sensitivity > 90% and varying specificity (50–75%); S-detect showed sensitivity > 90 and 70.8% specificity, with inter-rater agreement ranging from moderate to good. Lower specificities were improved by the addition http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Ultrasound Springer Journals
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Publisher
Springer International Publishing
Copyright
Copyright © 2018 by Società Italiana di Ultrasonologia in Medicina e Biologia (SIUMB)
Subject
Medicine & Public Health; Ultrasound
eISSN
1876-7931
D.O.I.
10.1007/s40477-018-0297-2
Publisher site
See Article on Publisher Site

Abstract

Purpose To assess the diagnostic performance and the potential as a teaching tool of S-detect in the assessment of focal breast lesions. Methods 61 patients (age 21–84 years) with benign breast lesions in follow-up or candidate to pathological sampling or with suspicious lesions candidate to biopsy were enrolled. The study was based on a prospective and on a retrospective phase. In the prospective phase, after completion of baseline US by an experienced breast radiologist and S-detect assessment, 5 operators with different experience and dedication to breast radiology performed elastographic exams. In the retrospective phase, the 5 operators performed a retrospective assessment and categorized lesions with BI-RADS 2013 lexicon. Integration of S-detect to in-training operators evaluations was performed by giving priority to S-detect analysis in case of disagreement. 2 × 2 contingency tables and ROC analysis were used to assess the diagnostic performances; inter-rater agreement was meas- ured with Cohen’s k; Bonferroni’s test was used to compare performances. A significance threshold of p = 0.05 was adopted. Results All operators showed sensitivity > 90% and varying specificity (50–75%); S-detect showed sensitivity > 90 and 70.8% specificity, with inter-rater agreement ranging from moderate to good. Lower specificities were improved by the addition

Journal

Journal of UltrasoundSpringer Journals

Published: Apr 21, 2018

References

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