Even highly experienced radiologists can overlook cancers, a fact that bedevils breast imagers. Double reading has been shown to help inexperienced readers and increase cancer detection rates. It turns out that even old hands at mammography can also benefit from the practice.
Even highly experienced radiologists can overlook cancers, a fact that bedevils breast imagers. Double reading has been shown to help inexperienced readers and increase cancer detection rates. It turns out that even old hands at mammography can also benefit from the practice.
In a study presented Tuesday, Dr. Daniel Kopans at Massachusetts General Hospital reported a 2.5% increase in breast cancer detection among experienced breast imagers, with only a fractional increase in patient callbacks, after institution of a double reading system.
The retrospective study evaluated 183,585 screening mammograms from 59,047 women acquired between 1995 and 2004. A primary staff radiologist read the studies and marked abnormalities requiring additional evaluation. A second staff radiologist quickly reviewed the cases, looking for abnormalities missed by the first reader. Concern by either reader resulted in a patient callback.
On average, a first reader takes about 90 minutes to review 60 or so cases, Kopans said. A second reader can go through that many studies in about five minutes.
The average rate of callbacks by first-reader radiologists was 6.5%. And additional 0.27% of patients were recalled based on second-reader evaluations. The average for callbacks for both sets of readers rose to 6.8%.
The cancer detection rate of first readers was about 4.07%. Eighteen cancers were found by the second reader that were missed by the first reader, resulting in an average increased cancer detection rate of 2.5%.
"The use of double reading did increase our cancer detection rate but at the expense of increased callbacks," Kopans said. "It goes to show that even experienced radiologists overlook cancers. But there is no reimbursement for double reading in the U.S., and it is not the standard of care."
As a result, double reading programs need to be implemented in a cost-effective and efficient fashion, he said.
Can MRI-Based AI Bolster Biopsy Decision-Making in PI-RADS 3 Cases?
December 9th 2024In patients with PI-RADS 3 lesion assessments, the combination of AI and prostate-specific antigen density (PSAD) level achieved a 78 percent sensitivity and 93 percent negative predictive value for clinically significant prostate cancer (csPCa), according to research presented at the Radiological Society of North American (RSNA) conference.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
New Interventional Radiology Research Shows Merits of Genicular Artery Embolization for Knee OA
December 3rd 2024In a cohort of over 160 patients with knee osteoarthritis (OA), including grade 4 in nearly half of the cases, genicular artery embolization led to an 87 percent improvement in the quality of life index, according to research presented at the