Literature DB >> 25620036

Automated breast volume scanning versus conventional ultrasound in breast cancer screening.

Yuanming Xiao1, Qichang Zhou2, Zhiheng Chen3.   

Abstract

RATIONALE AND
OBJECTIVES: To assess the diagnostic value of automated breast volume scanning (ABVS) versus conventional ultrasound (US) in breast cancer screening.
MATERIALS AND METHODS: This study retrospectively analyzed the ABVS and US images from 200 women who underwent breast examination and were recommended for biopsy in our health management centers between July 22, 2011, and October 20, 2013. We retrospectively assessed whether breast lesions from 200 women, which were detected and classified by US, could be detected and classified by an independent examiner using only ABVS findings. The sensitivity and specificity of ABVS versus US in determining lesion malignancy were calculated using biopsy as the gold standard.
RESULTS: In the 200 cases, 273 and 194 individual lesions were detected by ABVS and US, respectively. All 194 US-detected lesions were detected by ABVS. Pathologic examination determined that, of the 273 total lesions, 251 lesions were benign and 22 lesions were malignant. US detected 21 of the 22 malignant lesions and ABVS detected all 22 malignant lesions. The sensitivity and specificity of ABVS relative to biopsy (gold standard) were 28.95% and 100%, whereas the sensitivity and specificity of US relative to biopsy were 43.06% and 98.36%.
CONCLUSIONS: US displays superior sensitivity to ABVS across all Breast Imaging Reporting and Data System (BI-RADS) density categories while displaying equivalent specificity with the exception of BI-RADS density category 1, in which ABVS displayed a slightly superior specificity. As ABVS possesses several advantages and limitations with respect to US, ABVS may serve as an effective, adjunct, screening tool to mammography and conventional sonography. Published by Elsevier Inc.

Entities:  

Keywords:  Automated breast volume scanning; breast cancer; ultrasound

Mesh:

Year:  2015        PMID: 25620036     DOI: 10.1016/j.acra.2014.08.013

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


  4 in total

1.  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

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: Interobserver Agreement, Diagnostic Value, and Associated Clinical Factors of Coronal-Plane Image Features.

Authors:  Guoxue Tang; Xin An; Huiling Xiang; Lixian Liu; Anhua Li; Xi Lin
Journal:  Korean J Radiol       Date:  2020-05       Impact factor: 3.500

4.  Diagnostic performance of combined use of automated breast volume scanning & hand-held ultrasound for breast lesions.

Authors:  Jialin Liu; Yang Zhou; Jialing Wu; Peng Li; Xinyu Liang; Haonan Duan; Xueqing Wu; Xiukun Hou; Xiaofeng Li
Journal:  Indian J Med Res       Date:  2021-08       Impact factor: 5.274

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.