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Breast vibro-acoustography: initial experience in benign lesions
BACKGROUND: Vibro-acoustography (VA) is a newly developed imaging technology that is based on low-frequency vibrations induced in the object by the radiation force of ultrasound. VA is sensitive to the dynamic characteristics of tissue. Here, we evaluate the performance of VA in identifying benign l...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304615/ https://www.ncbi.nlm.nih.gov/pubmed/25547172 http://dx.doi.org/10.1186/s12880-014-0040-1 |
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author | Alizad, Azra Mehrmohammadi, Mohammad Ghosh, Karthik Glazebrook, Katrina N Carter, Rickey E Karaberkmez, Leman Gunbery Whaley, Dana H Fatemi, Mostafa |
author_facet | Alizad, Azra Mehrmohammadi, Mohammad Ghosh, Karthik Glazebrook, Katrina N Carter, Rickey E Karaberkmez, Leman Gunbery Whaley, Dana H Fatemi, Mostafa |
author_sort | Alizad, Azra |
collection | PubMed |
description | BACKGROUND: Vibro-acoustography (VA) is a newly developed imaging technology that is based on low-frequency vibrations induced in the object by the radiation force of ultrasound. VA is sensitive to the dynamic characteristics of tissue. Here, we evaluate the performance of VA in identifying benign lesions and compare the results to those of mammography. METHODS: An integrated mammography-VA system designed for in vivo breast imaging was tested on a group of female volunteers, age ≥ 18 years, with suspected breast lesions based on clinical examination. A set of VA scans was acquired after each corresponding mammography. Most lesions were classified as benign based on their histological results. However, in 4 cases, initial diagnosis based on clinical imaging determined that the lesions were cysts. These cysts were aspirated with needle aspiration and disappeared completely under direct ultrasound visualization. Therefore, no biopsies were performed on these cases and lesions were classified as benign based on clinical findings per clinical standards. To define the VA characteristics of benign breast masses, we adopted the features that are normally attributed to such masses in mammography. In a blinded assessment, three radiologists evaluated the VA images independently. The diagnostic accuracy of VA for detection of benign lesions was assessed by comparing the reviewers’ evaluations with clinical data. RESULTS: Out of a total 29 benign lesions in the group, the reviewers were able to locate all lesions on VA images and mammography, 100% with (95% confidence interval (CI): 88% to 100%). Two reviewers were also able to correctly classify 83% (95% CI: 65% to 92%), and the third reviewer 86% (95% CI: 65% to 95%) of lesions, as benign on VA images and 86% (95% CI: 69% to 95%) on mammography. CONCLUSIONS: The results suggest that the mammographic characteristics of benign lesion may also be used to identify such lesions in VA. Furthermore, the results show the ability of VA to detect benign breast abnormalities with a performance comparable to mammography. Therefore, the VA technology has the potential to be utilized as a complementary tool for breast imaging applications. Additional studies are needed to compare the capabilities of VA and traditional ultrasound imaging. |
format | Online Article Text |
id | pubmed-4304615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43046152015-01-24 Breast vibro-acoustography: initial experience in benign lesions Alizad, Azra Mehrmohammadi, Mohammad Ghosh, Karthik Glazebrook, Katrina N Carter, Rickey E Karaberkmez, Leman Gunbery Whaley, Dana H Fatemi, Mostafa BMC Med Imaging Research Article BACKGROUND: Vibro-acoustography (VA) is a newly developed imaging technology that is based on low-frequency vibrations induced in the object by the radiation force of ultrasound. VA is sensitive to the dynamic characteristics of tissue. Here, we evaluate the performance of VA in identifying benign lesions and compare the results to those of mammography. METHODS: An integrated mammography-VA system designed for in vivo breast imaging was tested on a group of female volunteers, age ≥ 18 years, with suspected breast lesions based on clinical examination. A set of VA scans was acquired after each corresponding mammography. Most lesions were classified as benign based on their histological results. However, in 4 cases, initial diagnosis based on clinical imaging determined that the lesions were cysts. These cysts were aspirated with needle aspiration and disappeared completely under direct ultrasound visualization. Therefore, no biopsies were performed on these cases and lesions were classified as benign based on clinical findings per clinical standards. To define the VA characteristics of benign breast masses, we adopted the features that are normally attributed to such masses in mammography. In a blinded assessment, three radiologists evaluated the VA images independently. The diagnostic accuracy of VA for detection of benign lesions was assessed by comparing the reviewers’ evaluations with clinical data. RESULTS: Out of a total 29 benign lesions in the group, the reviewers were able to locate all lesions on VA images and mammography, 100% with (95% confidence interval (CI): 88% to 100%). Two reviewers were also able to correctly classify 83% (95% CI: 65% to 92%), and the third reviewer 86% (95% CI: 65% to 95%) of lesions, as benign on VA images and 86% (95% CI: 69% to 95%) on mammography. CONCLUSIONS: The results suggest that the mammographic characteristics of benign lesion may also be used to identify such lesions in VA. Furthermore, the results show the ability of VA to detect benign breast abnormalities with a performance comparable to mammography. Therefore, the VA technology has the potential to be utilized as a complementary tool for breast imaging applications. Additional studies are needed to compare the capabilities of VA and traditional ultrasound imaging. BioMed Central 2014-12-30 /pmc/articles/PMC4304615/ /pubmed/25547172 http://dx.doi.org/10.1186/s12880-014-0040-1 Text en © Alizad et al.; licensee BioMed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Alizad, Azra Mehrmohammadi, Mohammad Ghosh, Karthik Glazebrook, Katrina N Carter, Rickey E Karaberkmez, Leman Gunbery Whaley, Dana H Fatemi, Mostafa Breast vibro-acoustography: initial experience in benign lesions |
title | Breast vibro-acoustography: initial experience in benign lesions |
title_full | Breast vibro-acoustography: initial experience in benign lesions |
title_fullStr | Breast vibro-acoustography: initial experience in benign lesions |
title_full_unstemmed | Breast vibro-acoustography: initial experience in benign lesions |
title_short | Breast vibro-acoustography: initial experience in benign lesions |
title_sort | breast vibro-acoustography: initial experience in benign lesions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304615/ https://www.ncbi.nlm.nih.gov/pubmed/25547172 http://dx.doi.org/10.1186/s12880-014-0040-1 |
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