- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
U.K. study strengthens case for breast MR screening
A multicenter study published online May 16 by The Lancet has shown that a combination of MRI and mammography offers the best means of detecting breast cancer in women with a high genetic risk for the disease.
A multicenter study published online May 16 by The Lancet has shown that a combination of MRI and mammography offers the best means of detecting breast cancer in women with a high genetic risk for the disease.
The investigators found MRI significantly more sensitive than mammography (77% versus 40%) in detecting breast cancers across the group of 649 women. Combining the results increased the sensitivity to 94%. MRI proved especially effective in BRCA1 mutation carriers, in whom it detected all tumors. Both techniques were needed to spot all cancers in women carrying BRCA2 mutations.
Commenting on the study, Dr. Ellen Warner, a medical oncologist at Toronto-Sunnybrook Regional Cancer Centre, said that mammography may one day be abandoned for high-risk women.
Leading Breast Radiologists Discuss the USPSTF Breast Cancer Screening Recommendations
May 17th 2024In recognition of National Women’s Health Week, Dana Bonaminio, MD, Amy Patel, MD, and Stacy Smith-Foley, MD, shared their thoughts and perspectives on the recently updated breast cancer screening recommendations from the United States Preventive Services Task Force (USPSTF).
Multicenter CT Study Shows Benefits of Emerging Diagnostic Model for Clear Cell Renal Cell Carcinoma
May 15th 2024Combining clinical and CT features, adjunctive use of a classification and regression tree (CART) diagnostic model demonstrated AUCs for detecting clear cell renal cell carcinoma (ccRCC) that were 15 to 22 percent higher than unassisted radiologist assessments.
CT Study: AI Algorithm Comparable to Radiologists in Differentiating Small Renal Masses
May 14th 2024An emerging deep learning algorithm had a lower AUC and sensitivity than urological radiologists for differentiating between small renal masses on computed tomography (CT) scans but had a 21 percent higher sensitivity rate than non-urological radiologists, according to new research.
