Literature DB >> 25311201

Evaluation of an automated breast 3D-ultrasound system by comparing it with hand-held ultrasound (HHUS) and mammography.

Michael Golatta1, Christina Baggs, Mirjam Schweitzer-Martin, Christoph Domschke, Sarah Schott, Aba Harcos, Alexander Scharf, Hans Junkermann, Geraldine Rauch, Joachim Rom, Christof Sohn, Joerg Heil.   

Abstract

PURPOSE: Automated three-dimensional (3D) breast ultrasound (US) systems are meant to overcome the shortcomings of hand-held ultrasound (HHUS). The aim of this study is to analyze and compare clinical performance of an automated 3D-US system by comparing it with HHUS, mammography and the clinical gold standard (defined as the combination of HHUS, mammography and-if indicated-histology).
METHODS: Nine hundred and eighty three patients (=1,966 breasts) were enrolled in this monocentric, explorative and prospective cohort study. All examinations were analyzed blinded to the patients´ history and to the results of the routine imaging. The agreement of automated 3D-US with HHUS, mammography and the gold standard was assessed with kappa statistics. Sensitivity, specificity and positive and negative predictive value were calculated to assess the test performance.
RESULTS: Blinded to the results of the gold standard the agreement between automated 3D-US and HHUS or mammography was fair, given by a Kappa coefficient of 0.31 (95% CI [0.26;0.36], p < 0.0001) and 0.25 (95% CI [0.2;0.3], p < 0.0001), respectively. Our results showed a high negative predictive value (NPV) of 98%, a high specificity of 85% and a sensitivity of 74% based on the cases with US-guided biopsy. Including the cases where the lesion was seen in a second-look automated 3D-US the sensitivity improved to 84% (NPV = 99%, specificity = 85%).
CONCLUSION: The results of this study let us suggest, that automated 3D-US might be a helpful new tool in breast imaging, especially in screening.

Entities:  

Mesh:

Year:  2014        PMID: 25311201     DOI: 10.1007/s00404-014-3509-9

Source DB:  PubMed          Journal:  Arch Gynecol Obstet        ISSN: 0932-0067            Impact factor:   2.344


  11 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.  Initial results of the FUSION-X-US prototype combining 3D automated breast ultrasound and digital breast tomosynthesis.

Authors:  Benedikt Schaefgen; Joerg Heil; Richard G Barr; Marcus Radicke; Aba Harcos; Christina Gomez; Anne Stieber; André Hennigs; Alexandra von Au; Julia Spratte; Geraldine Rauch; Joachim Rom; Florian Schütz; Christof Sohn; Michael Golatta
Journal:  Eur Radiol       Date:  2018-01-04       Impact factor: 5.315

5.  Comparison between automated breast volume scanner (ABVS) versus hand-held ultrasound as a second look procedure after magnetic resonance imaging.

Authors:  Rossano Girometti; Martina Zanotel; Viviana Londero; Massimo Bazzocchi; Chiara Zuiani
Journal:  Eur Radiol       Date:  2017-01-24       Impact factor: 5.315

6.  Preliminary study of the technical limitations of automated breast ultrasound: from procedure to diagnosis.

Authors:  Maria Julia Gregório Calas; Fernanda Philadelpho Arantes Pereira; Leticia Pereira Gonçalves; Flávia Paiva Proença Lobo Lopes
Journal:  Radiol Bras       Date:  2020 Sep-Oct

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.  Current status of automated breast ultrasonography.

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

9.  Automated Breast Ultrasound System for Breast Cancer Evaluation: Diagnostic Performance of the Two-View Scan Technique in Women with Small Breasts.

Authors:  Bo Ra Kwon; Jung Min Chang; Soo Yeon Kim; Su Hyun Lee; Soo Yeon Kim; So Min Lee; Nariya Cho; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-01       Impact factor: 3.500

10.  Breast ultrasound: automated or hand-held? Exploring patients' experience and preference.

Authors:  Ilaria Mussetto; Licia Gristina; Simone Schiaffino; Simona Tosto; Edoardo Raviola; Massimo Calabrese
Journal:  Eur Radiol Exp       Date:  2020-02-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.