ScienceDaily (Oct. 21, 2008) — Three-dimensional (3-D) power Doppler ultrasound helps radiologists distinguish between malignant and benign breast masses, according to a new study being published in the November issue of Radiology.

"Using 3-D scans promises greater accuracy due to more consistent sampling over the entire tumor," said lead author, Gerald L. LeCarpentier, Ph.D., assistant professor in the Department of Radiology at University of Michigan in Ann Arbor. "Our study shows that 3-D power Doppler ultrasound may be useful in the evaluation of some breast masses."

Malignant breast masses often exhibit increased blood flow compared to normal tissue or benign masses. Using 3-D power Doppler ultrasound, radiologists are able to detect vessels with higher flow speeds, which likely indicate cancer.

For the study, Dr. LeCarpentier and colleagues studied 78 women between the ages of 26 and 70 who where scheduled for biopsy of a suspicious breast mass. Each of the women underwent a 3-D Doppler ultrasound exam followed by core or excisional biopsy of the breast.

The results showed that 3-D power Doppler ultrasound was highly accurate in identifying malignant breast tumors. When combined with age-based assessment and gray scale visual analysis, 3-D Doppler showed a sensitivity of 100 percent in identifying cancerous tumors and a specificity of 86 percent in excluding benign tumors.

"Using speed-weighted 3-D power Doppler ultrasound, higher flow velocities in the malignant tumor-feeding vessels may be detected, whereas vessels with slower flow velocities in surrounding benign masses may be excluded," Dr. LeCarpentier said.

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The above story is reprinted from materials provided by Radiological Society of North America, via EurekAlert!, a service of AAAS.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.

Journal Reference:

1. LeCarpentier et al. Suspicious Breast Lesions: Assessment of 3D Doppler US Indexes for Classification in a Test Population and Fourfold Cross-Validation Scheme. Radiology, 2008; 249 (2): 463 DOI: 10.1148/radiol.2492060888

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.

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