HeathDay News - Increased sensitivity when magnetic resonance imaging is used in combination with mammography
HealthDay News - Using a combination of magnetic resonance (MR) imaging and mammography increases sensitivity of cancer detection in women with a history of chest irradiation compared to using either modality on its own, according to a study published in the April issue of Radiology.
Janice S. Sung, MD, from the Memorial Sloan-Kettering Cancer Center in New York City, and colleagues evaluated the utility of MR imaging in detection of breast cancer in 91 women with a history of chest irradiation. A review of the radiology department database identified 247 screening breast MR imaging examinations, and the findings and recommendations were assessed, together with those of the most recent mammograms. The researchers examined the number of cancers diagnosed, the detection method, and tumor characteristics.
The researchers found that biopsy was recommended for 32 lesions in 27 MR imaging studies. Of the 30 lesions biopsied, seven cancers were identified. Five additional patients were recommended for biopsy based on mammography findings, resulting in the detection of three malignancies. Of the 10 cancers detected during the study period, MR imaging alone detected four, mammography alone detected three, and the combination of both modalities detected three. Tumors detected by MR imaging alone were invasive carcinomas, and those detected by mammography alone were ductal carcinoma in situ, one of which had microinvasion.
"MR imaging should be used in addition to and not in place of mammography in this population, as the sensitivity for detecting breast cancers by using a combination of MR imaging and mammography was higher than that for either modality alone," the authors write.
AbstractFull Text (subscription or payment may be required)
Copyright © 2011 HealthDay. All rights reserved.
Can AI Enhance PET/MRI Assessment for Extraprostatic Tumor Extension in Patients with PCa?
December 17th 2024The use of an adjunctive machine learning model led to 17 and 21 percent improvements in the AUC and sensitivity rate, respectively, for PET/MRI in diagnosing extraprostatic tumor extension in patients with primary prostate cancer.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.