Literature DB >> 24035630

Accuracy of an automated breast volume ultrasound system for assessment of the pre-operative extent of pure ductal carcinoma in situ: comparison with a conventional handheld ultrasound examination.

Na Li1, Yu-Xin Jiang, Qing-Li Zhu, Jing Zhang, Qing Dai, He Liu, Qian Yang, Hong-Yan Wang, Xing-Jian Lai, Qiang Sun.   

Abstract

The goal of the study described here was to compare the accuracy of an automated breast volume scanner (ABVS) with that of hand-held ultrasound (HHUS) in assessing the pre-operative extent of pure ductal carcinoma in situ (DCIS). This prospective study consisted of 33 patients with histopathologically proven pure DCIS who received conventional HHUS and ABVS examinations. The discrepancy and correlation coefficients were calculated to assess differences in sizes determined by imaging and histopathologic examination. Mean age was 51.8 y. Mean lesion size as assessed with the ABVS did not differ significantly from that determined by histopathology. Lesion size was adequately estimated, under-estimated or over-estimated with the ABVS in 64%, 15% and 21% of patients, and with HHUS in 42%, 15% and 42%, respectively (p < 0.05). The coefficient of correlation between histopathologic and ABVS measurements was higher than that between histopathologic and HHUS measurements. The ABVS appears to assess the extent of the lesion better than HHUS and can provide more accurate information pre-operatively.
Copyright © 2013 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Automated breast volume scanner; Breast sonography; Pre-operative assessment; Pure ductal carcinomas in situ; Surgical guidance; Three-dimensional imaging breast lesions; Tumor measurement

Mesh:

Year:  2013        PMID: 24035630     DOI: 10.1016/j.ultrasmedbio.2013.07.010

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  12 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.  Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review.

Authors:  Rongrong Guo; Guolan Lu; Binjie Qin; Baowei Fei
Journal:  Ultrasound Med Biol       Date:  2017-10-26       Impact factor: 2.998

3.  Automated breast volume scanner (ABVS) compared to handheld ultrasound (HHUS) and contrast-enhanced magnetic resonance imaging (CE-MRI) in the early assessment of breast cancer during neoadjuvant chemotherapy: an emerging role to monitoring tumor response?

Authors:  Anna D'Angelo; Armando Orlandi; Enida Bufi; Sara Mercogliano; Paolo Belli; Riccardo Manfredi
Journal:  Radiol Med       Date:  2021-01-01       Impact factor: 3.469

4.  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

5.  Automated breast volume scanner (ABVS) in assessing breast cancer size: A comparison with conventional ultrasound and magnetic resonance imaging.

Authors:  Rossano Girometti; Martina Zanotel; Viviana Londero; Anna Linda; Michele Lorenzon; Chiara Zuiani
Journal:  Eur Radiol       Date:  2017-10-10       Impact factor: 5.315

Review 6.  Current status of automated breast ultrasonography.

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

Review 7.  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

Review 8.  Automated Breast Ultrasound Screening for Dense Breasts.

Authors:  Sung Hun Kim; Hak Hee Kim; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-01       Impact factor: 3.500

9.  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

10.  Evaluation of automated breast volume scanner for breast conservation surgery in ductal carcinoma in situ.

Authors:  Anqian Huang; Luoxi Zhu; Yanjuan Tan; Jian Liu; Jingjing Xiang; Qingqing Zhu; Lingyun Bao
Journal:  Oncol Lett       Date:  2016-07-29       Impact factor: 2.967

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