Literature DB >> 27503758

Prospective Study Comparing Two Second-Look Ultrasound Techniques: Handheld Ultrasound and an Automated Breast Volume Scanner.

Yoonsoo Kim1, Bong Joo Kang2, Sung Hun Kim1, Eun Jae Lee1.   

Abstract

OBJECTIVES: The aim of this study was to compare the diagnostic performance of handheld ultrasound (US) and an automated breast volume scanner (ABVS) as second-look US techniques subsequent to preoperative breast magnetic resonance imaging (MRI).
METHODS: We prospectively enrolled patients with breast cancer who underwent handheld US and ABVS examinations as second-look US modalities for additional suspicious lesions found via preoperative breast MRI. We reviewed each second-look US modality independently and evaluated the detection rate of each modality. We then analyzed the correlation between the detection rate and the MRI factors (size, distance, and enhancement type).
RESULTS: From March to September 2014, both types of second-look US examinations were performed on 40 patients with breast cancer who had 76 additional suspicious lesions detected via preoperative breast MRI. The detection rate of the ABVS was higher than that of handheld US for the second-look examination (94.7% versus 86.8%; P< .05). Among the 76 total lesions, 7 were only identified by the ABVS, 1 was only found by handheld US, and 3 were not detected by either the ABVS or handheld US. When we analyzed the correlation between the detection rate and MRI factors, the only meaningful factor was the enhancement type. The ability to detect a nonmass lesion was lower than the ability to detect a mass-type lesion (P < 0.05) for both the ABVS and handheld US.
CONCLUSIONS: For a second-look US examination subsequent to preoperative breast MRI in patients with breast cancer, the ABVS is a more efficient modality than handheld US for preoperative evaluations. However, both techniques have limitations in detecting nonmass lesions.

Entities:  

Keywords:  breast cancer; breast ultrasound; magnetic resonance imaging; second-look ultrasound

Mesh:

Year:  2016        PMID: 27503758     DOI: 10.7863/ultra.15.11076

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  6 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

2.  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

Review 3.  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

4.  Utility and Diagnostic Performance of Automated Breast Ultrasound System in Evaluating Pure Non-Mass Enhancement on Breast Magnetic Resonance Imaging.

Authors:  Bo Ra Kwon; Jung Min Chang; Soo Yeon Kim; Su Hyun Lee; Sung Ui Shin; Ann Yi; Nariya Cho; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-07-22       Impact factor: 3.500

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.  Diagnostic value of an automated breast volume scanner compared with a hand-held ultrasound: a meta-analysis.

Authors:  Xiaohui Zhang; Juan Chen; Yidong Zhou; Feng Mao; Yan Lin; Songjie Shen; Qiang Sun; Zhaolian Ouyang
Journal:  Gland Surg       Date:  2019-12
  6 in total

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