The Joint Commission of Oakbrook Terrace, IL, has issued an alert warning that MRI accidents are on the rise, and has urged hospitals and other healthcare facilities to take steps to prevent them.
The U.S. Food and Drug Administration has received nearly 400 reports of MRI-related accidents over the past decade. Over 70% of these were burns, while 10% occurred when metal objects became "missiles" when pulled into the scanner's magnetic field. The Joint Commission alert noted that no accidents occur in the vast majority of the more than 10 million MRI scans performed each year in the U.S.
The increase in accidents is attributed to various factors, including the greater field strength of newer magnets, the increasing number of interventional applications, and more sedated and anesthetized patients.
Heating accidents can arise from improper positioning of a patient during an exam or incorrect settings on the MRI for a particular scan. Implants, such as pacemakers and aneurysm clips, can become dangerous if and when patients are exposed to either static or time-varying magnetic fields. Steel and other metal objects also can become airborne when brought into an MRI room and are drawn into the scanner.
The Joint Commission recommends that healthcare providers take a number of steps to reduce MRI-related injuries; the recommendations can be viewed at the organization's Web site.
Related Reading
Civil trial in Colombini MR-related death set for March November 14, 2007
Joint Commission MR safety surveys: Moving past the fire extinguisher, August 29, 2007
MR guidelines: Elevating standards of practice and care, May 10, 2007
Did the MRI community learn from the Colombini tragedy? July 28, 2005
MR accident results in child's death, July 31, 2001
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![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)