Novel Technique May Significantly Reduce Breast Biopsies

Three-compartment breast (3CB) imaging and radiomics can reduce callbacks for suspicious masses.


Drukker
Drukker

An innovative technique that uses mammography to determine the biological tissue composition of a tumor could help reduce unnecessary breast biopsies, according to a new study in Radiology.

Mammography has been effective at reducing deaths from breast cancer by detecting cancers in their earliest, most treatable stages. However, many women are called back for additional diagnostic imaging and, in many cases, biopsies, for abnormal findings that are ultimately proven benign. Research estimates this recall rate to be more than 10 percent in the United States.

“The callback rate with mammography is much higher than ideal,” said the study’s first author, Karen Drukker, PhD, research associate professor from the Department of Radiology at the University of Chicago. “There are costs and anxiety associated with recalls, and our goal is to reduce these costs but not miss anything that should be biopsied.”

Dr. Drukker and colleagues recently studied a new technique called three-compartment breast (3CB) imaging. John Shepherd, PhD, currently at the University of Hawaii in Honolulu, and his team developed 3CB while he was at the University of California in San Francisco. By measuring the water, lipid and protein tissue composition throughout the breast, 3CB might provide a biological signature for a tumor. For instance, more water in the tumor tissue might indicate angiogenesis.

Figure 4
Figure 4: Region of interest from digital mammography depicts invasive cancer misclassified with quantitative three-compartment breast (3CB) analysis and combined mammography radiomics plus quantitative 3CB analysis. Images in 53-year-old woman with invasive canĀ¬cer (Breast Imaging Reporting and Data System category 4, with category C breast density) without (left) and with (right) radiologist and computer delineations (solid and dashed lines, respectively).

Computer-Aided Diagnosis Shows Promising Results

For the study, the researchers acquired dual-energy mammograms from 109 women with breast masses that were suspicious or highly suggestive of a malignancy immediately prior to biopsy. The ensuing biopsies showed 35 masses to be invasive cancers, while the remaining 74 were benign.

3CB images were derived from the dual-energy mammograms and analyzed along with mammography radiomics developed by Maryellen L. Giger, PhD, and her team at the University of Chicago for use in computer-aided diagnosis on breast images. 

The combination of 3CB image analysis and radiomics improved the positive predictive value in breast masses deemed suspicious. The combined method improved positive predictive value from 32 percent for visual interpretation alone to almost 50 percent, with an almost 36 percent reduction in biopsies. The 3CB-radiomics method missed one of the 35 cancers, for a 97 percent sensitivity rate.

“These results are very promising,” Dr. Drukker said. “Combining 3CB image analysis with mammography radiomics, the reduction in recalls was substantial.”

Dr. Drukker said the combined 3CB-radiomics approach has the potential to play an increasingly prominent role in breast cancer diagnosis and perhaps also screening. She noted that 3CB can easily be added to mammography without requiring extensive modifications of existing equipment.

“The patient is already getting the mammography, plus we get all this extra information with only a 10 percent additional dose of radiation,” she said.

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Access the Radiology study, “Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set,” at pubs.radiology.org.