Researchers from Seoul National University Medical Center have found that breast cancers detected by ultrasound only are not very sensitive to computer-aided detection.
Researchers from Seoul National University Medical Center have found that breast cancers detected by ultrasound only are not very sensitive to computer-aided detection.
Dr. Sang Kyu Yang and colleagues applied CAD (ImageChecker, R2 Technologies) to 96 bilateral mammograms obtained on a full-field digital system. The patient population consisted of 26 women with 29 ultrasound-detected cancers that had all appeared normal on mammography and 70 women with 70 mammography-detected cancers. All in the latter group had negative findings at clinical exam.
The researchers scored a lesion as a true positive if the CAD system marked the correct lesion type (microcalcifications or mass) in at least one of two views. All CAD marks that were not located on the suspicious lesion were scored as false positives. They presented their findings in a poster at the 2005 RSNA meeting.
In the ultrasound-detected group, there were 17 marks on masses and five on calcifications - correctly identifying six masses. The false-positive rate was 0.15 per image and 0.62 per case.
In the mammography group, the CAD system scored 116 marks on masses and 185 on calcifications, resulting in 58 and 139 true positives, respectively. The false-positive rate was 0.37 per image and 1.48 per case.
The sensitivity of CAD according to the radiologic primary features in the 29 ultrasound-detected cancers was 17.2%, broken down as follows:
The sensitivity of CAD according to the radiologic primary features in the 70 mammography-detected cancers was 95.7%, broken down as follows:
The mean tumor size of ultrasound- and mammography-detected cancers was 1 cm and 1.8 cm, respectively. Dense breasts were more common in the ultrasound-detected group (73%) than in the mammography-detected group (63%), though the difference was not statistically significant.
The researchers consided the information useful when applying CAD to screening mammography and adjunct ultrasound to detect early breast cancers.
For more information from the Diagnostic Imaging archives:
Elastography slashes biopsy rate for benign breast lesions
Study challenges value of ultrasound in breast cancer screening
Adjunctive breast imaging modalities come up short
European Society of Breast Imaging Issues Updated Breast Cancer Screening Recommendations
April 24th 2024One of the recommendations from the European Society of Breast Imaging (EUSOBI) is annual breast MRI exams starting at 25 years of age for women deemed to be at high risk for breast cancer.
New AI-Powered Ultrasound Devices May Enhance Efficiency in Women's Imaging
April 19th 2024One of the features on the new Voluson Signature 20 and 18 ultrasound devices reportedly uses automated AI tools to facilitate a 40 percent reduction in the time it takes to perform second trimester exams.
New Research Examines Socioeconomic Factors with Mammography No-Shows
April 10th 2024Patients with Medicaid or means-tested insurance were over 27 percent more likely to miss mammography appointments, and only 65 percent of women with three of more adverse social determinants of health had a mammography exam in a two-year period covering 2020 and 2021, according to new research and a report from the CDC.
Mammography-Based AI Abnormality Scoring May Improve Prediction of Invasive Upgrade of DCIS
April 9th 2024Emerging research suggests that an artificial intelligence (AI) score of 75 or greater for mammography abnormalities more than doubles the likelihood of invasive upgrade of ductal carcinoma in situ (DCIS) diagnosed with percutaneous biopsy.