While radiologists herald breast tomosynthesis as the hope for the future of breast imaging, several barriers hinder its widespread use. Its very ability to detect benign lesions dilutes the value of such detection, according to a keynote speech at the RSNA meeting.
While radiologists herald breast tomosynthesis as the hope for the future of breast imaging, several barriers hinder its widespread use. Its very ability to detect benign lesions dilutes the value of such detection, according to a keynote speech at the RSNA meeting.
Radiologists hope breast tomosynthesis will improve sensitivity in detection of breast cancer by removing overlapping structures and improving the conspicuity of breast lesions, said Dr. Jay Baker, director of breast imaging at Duke University, during his keynote speech on Tuesday.
"Tomosynthesis may also improve the specificity by allowing better evaluation of lesion morphology and the ability to recognize benign lesions for what they are," he said.
While detecting lesions is the strength of tomosynthesis, however, it may also be the modality's biggest weakness.
"We end up seeing every fibroid adenoma and every cyst when we markedly increase our detection of otherwise benign lesions," he said.
Increasing the number of detected benign lesions becomes problematic because, ultimately, the detection does not aid the patient. The hope that tomosynthesis will reduce the overall number of recalls depends on clarifying architectural distortion, which on diagnostic examination turns out to be nothing more than overlapping but normal breast tissue, Baker said.
"It's also possible that tomosynthesis may allow us to reduce the number of benign biopsies by allowing better evaluation of lesion morphology. But in order to do this, it would require an entirely new imaging paradigm than what we're presently used to," he said.
Tomosynthesis may move to a point at which, if a radiologist identifies a round, oval, or lobulated mass that is 100% circumscribed, the radiologist may simply declare the lesion benign.
This may, however, ultimately lead to a delay in diagnosis, he said.
"Obviously, we're not there yet. We don't have the data to suggest this. We may need to get to this point in order for breast tomosynthesis to live up to its ultimate promise," he said.
Two more pressing challenges to tomosynthesis' introduction are lack of FDA-approved systems in the U.S. and a dearth of published data, according to Baker.
Emerging AI Mammography Model May Enhance Clarity for Initial BI-RADS 3 and 4 Classifications
May 21st 2025In a study involving over 12,000 Asian women, researchers found that an artificial intelligence (AI) model converted over 83 percent of false positives in patients with initial BI-RADS 3 and 4 assessments into benign BI-RADS categories.
Mammography Study Compares False Positives Between AI and Radiologists in DBT Screening
May 8th 2025For DBT breast cancer screening, 47 percent of radiologist-only flagged false positives involved mass presentations whereas 40 percent of AI-only flagged false positive cases involved benign calcifications, according to research presented at the recent American Roentgen Ray Society (ARRS) conference.