Breast Cancer Research | |
Breast vibro-acoustography: initial results show promise | |
Mostafa Fatemi2  James F Greenleaf2  Randall R Kinnick2  Rickey E Carter4  Matthew W Urban2  Dana H Whaley3  Azra Alizad1  | |
[1] Department of Internal Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA;Department of Physiology and Biomedical Engineering, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA;Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA;Division of Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA | |
关键词: vibro-acoustography; ultrasound; radiation force breast imaging; breast lesions; acoustic imaging; | |
Others : 795689 DOI : 10.1186/bcr3323 |
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received in 2012-06-16, accepted in 2012-09-29, 发布年份 2012 | |
【 摘 要 】
Introduction
Vibro-acoustography (VA) is a recently developed imaging modality that is sensitive to the dynamic characteristics of tissue. It detects low-frequency harmonic vibrations in tissue that are induced by the radiation force of ultrasound. Here, we have investigated applications of VA for in vivo breast imaging.
Methods
A recently developed combined mammography-VA system for in vivo breast imaging was tested on female volunteers, aged 25 years or older, with suspected breast lesions on their clinical examination. After mammography, a set of VA scans was acquired by the experimental device. In a masked assessment, VA images were evaluated independently by 3 reviewers who identified mass lesions and calcifications. The diagnostic accuracy of this imaging method was determined by comparing the reviewers' responses with clinical data.
Results
We collected images from 57 participants: 7 were used for training and 48 for evaluation of diagnostic accuracy (images from 2 participants were excluded because of unexpected imaging artifacts). In total, 16 malignant and 32 benign lesions were examined. Specificity for diagnostic accuracy was 94% or higher for all 3 reviewers, but sensitivity varied (69% to 100%). All reviewers were able to detect 97% of masses, but sensitivity for detection of calcification was lower (≤ 72% for all reviewers).
Conclusions
VA can be used to detect various breast abnormalities, including calcifications and benign and malignant masses, with relatively high specificity. VA technology may lead to a new clinical tool for breast imaging applications.
【 授权许可】
2012 Alizad et al.; licensee BioMed Central Ltd.
【 预 览 】
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