Even MRI scanners at animal hospitals must be treated with great care, as a New Jersey animal hospital found out on March 6.
Several workers were taking apart an MRI scanner at the Oradell Animal Hospital in Paramus, NJ, when it exploded, according to a report on NBC 4 TV in New York City. One worker was hospitalized in critical condition with lacerations and related injuries to his body, while two other workers have respiratory complaints and other minor injuries.
Authorities say there was a small helium leak, but there were no reports of a fire after the initial explosion. Hazardous materials crews responded to the scene as a precaution and assisted firefighters in stopping the leak.
According to the report, animal hospital owner Dr. Tony Palminteri said employees successfully evacuated the animals and none were injured. Pets in critical condition were taken to nearby animal facilities for continued treatment.
![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&dpr=2&fit=crop&h=167&q=70&w=250)
