Literature DB >> 28336007

Diagnostic Performance of Automated Breast Volume Scanning (ABVS) Compared to Handheld Ultrasonography With Breast MRI as the Gold Standard.

Constanze Schmachtenberg1, Thomas Fischer2, Bernd Hamm2, Ulrich Bick2.   

Abstract

RATIONALE AND
OBJECTIVES: This study aimed to compare the diagnostic value of automated breast volume scanning (ABVS) to that of handheld ultrasonography (HHUS) using breast magnetic resonance imaging (MRI) as the gold standard.
MATERIALS AND METHODS: Twenty-eight patients with 39 examined breasts with at least one lesion visible in breast MRI underwent HHUS and ABVS. Detection rate, localization, maximum diameter, and Breast Imaging Reporting and Data System classification were compared. Sensitivity, specificity, diagnostic accuracy, positive predictive value, and negative predictive value were calculated for HHUS and ABVS. Lesion localization and maximum diameters based on HHUS and ABVS were compared to size measurement in MRI. Breast Imaging Reporting and Data System categories based on each method were compared to the MRI diagnosis (malignant or benign) or, if available (21 cases), with the histologic diagnosis.
RESULTS: MRI detected 72 lesions, ABVS 59 lesions, and HHUS 54 lesions. Malignancy was proven histopathologically in 15 cases. There was no significant difference between ABVS and HHUS in terms of sensitivity (93.3% vs. 100%), specificity (83.3% vs. 83.3%), diagnostic accuracy (87.2% vs. 89.7%), positive predictive value (77.8% vs. 78.9%), and negative predictive value (95.2% vs. 100%). Agreement regarding lesion localization (same quadrant) was 94.3% for ABVS and MRI and 91.2% for HHUS and MRI. Lesion size compared to MRI lesion size was assessed correctly (+/- 3 mm) in 79.4% (HHUS) and 80% (ABVS). The correlation of size measurement was slightly higher for ABVS-MRI (r = 0.89) than for HHUS-MRI (r = 0.82) with P < .001.
CONCLUSIONS: ABVS can be used as an alternative to HHUS. ABVS has the advantage of operator independence and better reproducibility although it is limited in evaluating axillary lymph nodes and lacks Doppler or elastrography capabilities, which sometimes provide important supplementary information in HHUS.
Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BI-RADS; Breast lesions; automated breast volume scanner (ABVS); ultrasonography

Mesh:

Year:  2017        PMID: 28336007     DOI: 10.1016/j.acra.2017.01.021

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


  8 in total

Review 1.  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

Review 2.  Automatic breast ultrasound: state of the art and future perspectives.

Authors:  Luca Nicosia; Federica Ferrari; Anna Carla Bozzini; Antuono Latronico; Chiara Trentin; Lorenza Meneghetti; Filippo Pesapane; Maria Pizzamiglio; Nicola Balesetreri; Enrico Cassano
Journal:  Ecancermedicalscience       Date:  2020-06-23

3.  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

4.  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

Review 5.  Evaluation of Diagnostic Performance of Automatic Breast Volume Scanner Compared to Handheld Ultrasound on Different Breast Lesions: A Systematic Review.

Authors:  Shahad A Ibraheem; Rozi Mahmud; Suraini Mohamad Saini; Hasyma Abu Hassan; Aysar Sabah Keiteb; Ahmed M Dirie
Journal:  Diagnostics (Basel)       Date:  2022-02-19

6.  Identification of the lymph node metastasis-related automated breast volume scanning features for predicting axillary lymph node tumor burden of invasive breast cancer via a clinical prediction model.

Authors:  Feng Zhao; Changjing Cai; Menghan Liu; Jidong Xiao
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-05       Impact factor: 6.055

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.  Evaluation of a new method of calculating breast tumor volume based on automated breast ultrasound.

Authors:  Jing-Jing Ma; Shan Meng; Sha-Jie Dang; Jia-Zhong Wang; Quan Yuan; Qi Yang; Can-Xu Song
Journal:  Front Oncol       Date:  2022-09-13       Impact factor: 5.738

  8 in total

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