Literature DB >> 24682405

Interpretation of automated breast ultrasound (ABUS) with and without knowledge of mammography: a reader performance study.

Per Skaane1, Randi Gullien2, Ellen B Eben2, Merete Sandhaug3, Ruediger Schulz-Wendtland4, Frank Stoeblen5.   

Abstract

BACKGROUND: Automated breast ultrasonography (ABUS) has the potential to be an important adjunct to mammography in women with dense breasts.
PURPOSE: To compare reader performance and inter-observer variation of ABUS alone and in combination with mammography.
MATERIAL AND METHODS: This retrospective study had ethical committee approval. All women gave written informed consent. One hundred and fourteen breasts in 90 women examined by digital mammography and ABUS were interpreted by five radiologists using BI-RADS categories. The 114 breasts included 38 cancers and 76 normal or benign findings. In the first reading session ABUS only was interpreted, and in the second ABUS plus digital mammography. Image interpretations were done without knowledge of clinical or imaging results. A consensus panel analyzed false negative and false positive interpretations. Reading time was recorded for one radiologist. AUC was used for performance measurement, and kappa statistic for inter-observer variability.
RESULTS: Mean size for cancers was 16.2 mm; area under the curve (AUC) values for ABUS alone and for combined reading were, respectively: reader A, 0.592-0.744; reader B, 0.740-0.947; reader, C 0.759-0.823; reader D, 0.670-0.688; reader E, 0.904-0.923; and all readers combined 0.730-0.823. The higher AUC for combined reading was statistically significant (P < 0.05) for reader B and for all readers. There was a considerable inter-observer variability. Observer agreement revealed following kappa values for ABUS alone and combined reading, respectively: reader A, 0.22-0.30; reader B, 0.33-0.44; reader C, 0.32-0.39; reader D, 0.07-0.14; and reader E, 0.34-0.43. Shadowing from dense parenchyma was the most common cause of false positive ABUS interpretations. Mean interpretation time for a bilateral normal ABUS examination was 9 min.
CONCLUSION: Observer agreement was higher and all radiologists improved diagnostic performance using combined ABUS and mammography interpretation. Combined reading should be standard if ABUS is implemented in screening of women with dense breasts. © The Foundation Acta Radiologica 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Entities:  

Keywords:  Automated breast ultrasonography; breast cancer screening; hand-held ultrasound; inter-observer variability; mammography

Mesh:

Year:  2014        PMID: 24682405     DOI: 10.1177/0284185114528835

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  19 in total

1.  3D Supine Automated Ultrasound (SAUS, ABUS, ABVS) for Supplemental Screening Women with Dense Breasts.

Authors:  Alexander Mundinger
Journal:  J Breast Health       Date:  2016-04-01

2.  The performance of 3D ABUS versus HHUS in the visualisation and BI-RADS characterisation of breast lesions in a large cohort of 1,886 women.

Authors:  Athina Vourtsis; Aspasia Kachulis
Journal:  Eur Radiol       Date:  2017-08-21       Impact factor: 5.315

Review 3.  Automated breast ultrasound: basic principles and emerging clinical applications.

Authors:  Martina Zanotel; Iliana Bednarova; Viviana Londero; Anna Linda; Michele Lorenzon; Rossano Girometti; Chiara Zuiani
Journal:  Radiol Med       Date:  2017-08-28       Impact factor: 3.469

4.  Current Status of Supplemental Screening in Dense Breasts.

Authors:  Wendie A Berg
Journal:  J Clin Oncol       Date:  2016-03-09       Impact factor: 44.544

5.  Improved Inception V3 method and its effect on radiologists' performance of tumor classification with automated breast ultrasound system.

Authors:  Panpan Zhang; Zhaosheng Ma; Yingtao Zhang; Xiaodan Chen; Gang Wang
Journal:  Gland Surg       Date:  2021-07

6.  What eye tracking can tell us about how radiologists use automated breast ultrasound.

Authors:  Jeremy M Wolfe; Wanyi Lyu; Jeffrey Dong; Chia-Chien Wu
Journal:  J Med Imaging (Bellingham)       Date:  2022-07-26

7.  The value of coronal view as a stand-alone assessment in women undergoing automated breast ultrasound.

Authors:  Simone Schiaffino; Licia Gristina; Simona Tosto; Elena Massone; Sara De Giorgis; Alessandro Garlaschi; Alberto Tagliafico; Massimo Calabrese
Journal:  Radiol Med       Date:  2020-07-16       Impact factor: 3.469

Review 8.  Breast density implications and supplemental screening.

Authors:  Athina Vourtsis; Wendie A Berg
Journal:  Eur Radiol       Date:  2018-09-25       Impact factor: 5.315

9.  3D Automated Breast Ultrasound System: Comparison of Interpretation Time of Senior Versus Junior Radiologist.

Authors:  Aydan Arslan; Gökhan Ertaş; Erkin Arıbal
Journal:  Eur J Breast Health       Date:  2019-07-01

Review 10.  Current status of automated breast ultrasonography.

Authors:  Hee Jung Shin; Hak Hee Kim; Joo Hee Cha
Journal:  Ultrasonography       Date:  2015-03-23
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