Significant reduction seen in breast cancer mortality for women undergoing MRI surveillance versus no surveillance
TUESDAY, March 19, 2024 (HealthDay News) — For women with a BRCA1 sequence variation, magnetic resonance imaging (MRI) surveillance is associated with a reduction in breast cancer mortality, according to a study published online Feb. 29 in JAMA Oncology.
Jan Lubinski, M.D., Ph.D., from the Pomeranian Medical University in Szczecin, Poland, and colleagues compared breast cancer mortality rates in women with a BRCA1 or BRCA2 sequence variation from 59 participating centers in 11 countries who entered an MRI surveillance program. Data were obtained for 2,488 women: 2,004 and 484 with a sequence variation in the BRCA1 and BRCA2 genes, respectively, were included in the analysis.
Of the participants, 70.6 and 29.4 percent had and did not have at least one screening MRI examination, respectively. The researchers found that 13.8 percent of women developed breast cancer after a mean follow-up of 9.2 years and 1.4 percent died of breast cancer. For breast cancer mortality associated with entering an MRI surveillance program, the age-adjusted hazard ratios were 0.20 (95 percent confidence interval, 0.10 to 0.43; P < 0.001) and 0.87 (95 percent confidence interval, 0.10 to 17.25; P = 0.93) for women with BRCA1 and BRCA2 sequence variations, respectively.
“This cohort study supports the recommendation that women with BRCA1 sequence variations aged 30 years or older should be offered MRI surveillance,” the authors write. “We observed an 80 percent reduction in breast cancer mortality for women with BRCA1 sequence variations after they entered an MRI surveillance program.”
Several authors disclosed ties to the pharmaceutical industry.
2005 to 2023 Saw More U.S. Women Never Screened for Cervical Cancer
Machine Learning Model IDs Heart Failure With Reduced Ejection Fraction Using Routine Lab Indicators
Brain Abnormalities Identified in Children at Risk for Schizophrenia
Addition of CAC to PREVENT-ASCVD Equations May Improve Predictive Utility in Certain Patients
Warning Symptoms, Clinical History Can Predict Sudden Cardiac Arrest
Micro-, Nanoplastics Detected More Often in Patients With STEMI
AI Can Accurately Detect Left Ventricular Dysfunction From Electrocardiograms
Differences in Cardiovascular Risk Factor Prevalence ID"d for South Asian Adults