Researchers from Seoul National University Medical Center found that ultrasound-only-detected breast cancers are not very sensitive to a mammography computer-aided detection system.
Researchers from Seoul National University Medical Center found that ultrasound-only-detected breast cancers are not very sensitive to a mammography computer-aided detection system.
Dr. Sang Kyu Yang and colleagues applied CAD to 96 bilateral mammograms obtained on a full-field digital system. The patient population consisted of 26 women with 29 ultrasound-detected cancers (all normal on mammography) and 70 women with 70 mammography-detected cancers. Patients in the latter group had negative findings at clinical exam.
In the ultrasound group, CAD produced 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, based on radiologic primary features, was 17% for the ultrasound-detected cancers and 96% for the mammography-detected cancers. This information may be useful when applying CAD to screening mammography and adjunct ultrasound to detect early breast cancers, according to the researchers, who presented their work in a poster presentation at the 2005 Radiological Society of North America meeting.
Multicenter Study Shows Merits of AI-Powered Ultrasound Assessment for Detecting Ovarian Cancer
January 3rd 2025Adjunctive AI offered greater than seven percent increases in sensitivity, specificity, and accuracy for ultrasound detection of ovarian cancer in comparison to unassisted clinicians who lacked ultrasound expertise, according to findings from new international multicenter research.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
FDA Clears AI-Powered Ultrasound Software for Cardiac Amyloidosis Detection
November 20th 2024The AI-enabled EchoGo® Amyloidosis software for echocardiography has reportedly demonstrated an 84.5 percent sensitivity rate for diagnosing cardiac amyloidosis in heart failure patients 65 years of age and older.
Ultrasound Device Garners FDA De Novo Nod for Kidney Stone Clearance
November 14th 2024Emerging research demonstrated that the Stone Clear device, which facilitates post-lithotripsy clearance of kidney stone fragments, led to a 70 percent lower risk of relapse in comparison to observation in a control group.