Breast vibro-acoustography

Initial experience in benign lesions

Azra Alizad, Mohammad Mehrmohammadi, Karthik Ghosh, Katrina Nesta Glazebrook, Rickey E. Carter, Leman Gunbery Karaberkmez, Dana H. Whaley, Mostafa Fatemi

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Article number40
JournalBMC Medical Imaging
Volume14
Issue number1
DOIs
StatePublished - Dec 30 2014

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Elasticity Imaging Techniques
Breast
Mammography
Confidence Intervals
Cysts
Technology
Vibration

Keywords

  • Benign breast lesion
  • Breast neoplasms
  • Breast ultrasonography
  • Mammography
  • Vibro-acoustography

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Breast vibro-acoustography : Initial experience in benign lesions. / Alizad, Azra; Mehrmohammadi, Mohammad; Ghosh, Karthik; Glazebrook, Katrina Nesta; Carter, Rickey E.; Karaberkmez, Leman Gunbery; Whaley, Dana H.; Fatemi, Mostafa.

In: BMC Medical Imaging, Vol. 14, No. 1, 40, 30.12.2014.

Research output: Contribution to journalArticle

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abstract = "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.",
keywords = "Benign breast lesion, Breast neoplasms, Breast ultrasonography, Mammography, Vibro-acoustography",
author = "Azra Alizad and Mohammad Mehrmohammadi and Karthik Ghosh and Glazebrook, {Katrina Nesta} and Carter, {Rickey E.} and Karaberkmez, {Leman Gunbery} and Whaley, {Dana H.} and Mostafa Fatemi",
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