Examine a patient’s face mask prior to scanning as nose clips, headband staples, or other components can contain metal, potentially leading to facial burns during MRI scans.
When imaging a patient in an MRI during the COVID-19 pandemic, be sure he or she wears a face mask – but, also check to ensure their mask contains no metal or metal particles, warns the U.S. Food & Drug Administration (FDA).
In a safety communication issued Monday, the FDA alerted the imaging community that facial burns are possible in patients who wear metal-containing masks inside the MRI scanner. This advisory was prompted by a report to the agency of a patient experiencing burns consistent with the shape of a facial mask during a scan of the neck in a 3T MRI scanner.
Currently, facial masks are recommended to slow the spread of the SARS-CoV-2 virus, but those masks frequently contain metal nose clips or wires, as well as nanoparticles or antimicrobial particles that are coated with metal, typically silver or copper. Any metal content can get hot enough to burn a patient during an MRI.
Related Content: Keep an Eye Out for Magnetic Eyelashes
Patients are still advised to wear a mask during an MRI study, but to avoid these problems, the FDA recommended healthcare providers should screen all patients, checking and confirming that his or her face mask contains no metal before beginning the exam. If it is not possible to unequivocally determine that a mask contains no metal, patients should be given an alternative, non-metal containing mask.
Any confirmed or suspected burn event should be reported to the FDA, agency officials said, in an on-going attempt to improve MRI-related patient safety. Submit reports vis the FDA MedWatch Voluntary Reporting Form For questions, email the Division of Industry and Consumer Education at DICE@FDA.HHS.GOV or call 800-638-2041.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
April 25th 2025An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection
April 15th 2025Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.