Move over MRI and ultrasonography: 64-slice CT is staking a claim in assessment of tumor extent in patients with locally advanced breast cancer ahead of conservation surgery.
Move over MRI and ultrasonography: 64-slice CT is staking a claim in assessment of tumor extent in patients with locally advanced breast cancer ahead of conservation surgery.
Neoadjuvant therapy before surgery is common in these cases. To avoid recurrence, it is vital to accurately measure tumor extent.
A small study from the University of Rome Tor Vergata found that dynamic contrast-enhanced 64-slice CT was superior to both ultrasound and 3D dynamic MRI for evaluating residual cancer after neoadjuvant chemotherapy. The study consisted of 36 women with biopsy-proven locally advanced breast cancer.
Researchers performed two dynamic contrast-enhanced scans, one taken 60 seconds after administration of contrast and a second after a three-minute delay. Maximum intensity projection and multiplanar reformatted images enabled visualization of breast cancer extent and assessment of histological size.
Of the total study group, 26 responded to therapy. Dynamic CT most closely agreed with pathology results, boasting 86% accuracy. In comparison, MRI's accuracy was 80%, and ultrasound scored 72%.
CT was particularly good with fatty breasts, said radiology resident Dr. Francesca Bolacchi, who presented results. The findings have encouraged use of 64-slice CT in patients who have undergone neoadjuvant therapy and are scheduled for surgery.
For more online information, visit Diagnostic Imaging's RSNA Webcast.
New MRI Research Explores Links Between Waist-to-Hip Ratio and Memory in Aging
March 13th 2025Researchers found that a higher waist-to-hip ratio in midlife was associated with higher mean diffusivity in 26 percent of total white matter tracts in the cingulum as well as the superior and inferior longitudinal fasciculus.
Can Ultrasound-Based Radiomics Enhance Differentiation of HER2 Breast Cancer?
March 11th 2025Multicenter research revealed that a combined model of clinical factors and ultrasound-based radiomics exhibited greater than a 23 percent higher per patient-level accuracy rate for identifying HER2 breast cancer than a clinical model.