Literature DB >> 26345538

Multiplanar Reconstructions of 3D Automated Breast Ultrasound Improve Lesion Differentiation by Radiologists.

Jan C M Van Zelst1, Bram Platel2, Nico Karssemeijer2, Ritse M Mann2.   

Abstract

RATIONALE AND
OBJECTIVES: To investigate the value of multiplanar reconstructions (MPRs) of automated three-dimensional (3D) breast ultrasound (ABUS) compared to transverse evaluation only, in differentiation of benign and malignant breast lesions.
MATERIALS AND METHODS: Five breast radiologists evaluated ABUS scans of 96 female patients with biopsy-proven abnormalities (36 malignant and 60 benign). They classified the most suspicious lesion based on the breast imaging reporting and data system (BI-RADS) lexicon using the transverse scans only. A likelihood-of-malignancy (LOM) score (0-100) and a BI-RADS final assessment were assigned. Thereafter, the MPR was provided and readers scored the cases again. In addition, they rated the presence of spiculation and retraction in the coronal plane on a five-point scale called Spiculation and Retraction Severity Index (SRSI). Reader performance was analyzed with receiver-operating characteristics analysis.
RESULTS: The area under the curve increased from 0.82 to 0.87 (P = .01) after readers were shown the reconstructed planes. The SRSI scores are highly correlated (Spearman's r) with the final LOM scores (range, r = 0.808-0.872) and ΔLOM scores (range, r = 0.525-0.836). Readers downgraded 3%-18% of the biopsied benign lesions to BI-RADS 2 after MPR evaluation. Inter-reader agreement for SRSI was substantial (intraclass correlation coefficient, 0.617). Inter-reader agreement of the BI-RADS final assessment improved from 0.367 to 0.536 after MPRs were read.
CONCLUSIONS: Full 3D evaluation of ABUS using MPR improves differentiation of breast lesions in comparison to evaluating only transverse planes. Results suggest that the added value of MPR might be related to visualization of spiculation and retraction patterns in the coronal reconstructions.
Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast; diagnosis; neoplasm; ultrasound

Mesh:

Year:  2015        PMID: 26345538     DOI: 10.1016/j.acra.2015.08.006

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  8 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.  Automated quality assessment in three-dimensional breast ultrasound images.

Authors:  Julia Schwaab; Yago Diez; Arnau Oliver; Robert Martí; Jan van Zelst; Albert Gubern-Mérida; Ahmed Bensouda Mourri; Johannes Gregori; Matthias Günther
Journal:  J Med Imaging (Bellingham)       Date:  2016-04-25

3.  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

4.  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

5.  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

6.  Dependability of Automated Breast Ultrasound (ABUS) in Assessing Breast Imaging Reporting and Data System (BI-RADS) Category and Size of Malignant Breast Lesions Compared with Handheld Ultrasound (HHUS) and Mammography (MG).

Authors:  He Chen; Ming Han; Hui Jing; Zhao Liu; Haitao Shang; Qiucheng Wang; Wen Cheng
Journal:  Int J Gen Med       Date:  2021-12-01

7.  Supine versus Prone 3D Abus Accuracy in Breast Tumor Size Evaluation.

Authors:  Anna D'Angelo; Gianluca Gatta; Graziella Di Grezia; Sara Mercogliano; Francesca Ferrara; Charlotte Marguerite Lucille Trombadori; Antonio Franco; Alessandro Cina; Paolo Belli; Riccardo Manfredi
Journal:  Tomography       Date:  2022-08-12

8.  Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts.

Authors:  Jan C M van Zelst; Tao Tan; Paola Clauser; Angels Domingo; Monique D Dorrius; Daniel Drieling; Michael Golatta; Francisca Gras; Mathijn de Jong; Ruud Pijnappel; Matthieu J C M Rutten; Nico Karssemeijer; Ritse M Mann
Journal:  Eur Radiol       Date:  2018-02-07       Impact factor: 5.315

  8 in total

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