Age Matters: A Comparative Study of RF Heating of Epicardial and Endocardial Electronic Devices in Pediatric and Adult Phantoms during Cardiothoracic MRI.
Fuchang JiangKaylee R HenryBhumi BhusalPia SanpitakGregory WebsterAndrada PopescuChristina LaternserDaniel KimLaleh GolestaniradPublished in: Diagnostics (Basel, Switzerland) (2023)
This study focused on the potential risks of radiofrequency-induced heating of cardiac implantable electronic devices (CIEDs) in children and adults with epicardial and endocardial leads of varying lengths during cardiothoracic MRI scans. Infants and young children are the primary recipients of epicardial CIEDs, though the devices have not been approved as MR conditional by the FDA due to limited data, leading to pediatric hospitals either refusing the MRI service to most pediatric CIED patients or adopting a scan-all strategy based on results from adult studies. The study argues that risk-benefit decisions should be made on an individual basis. We used 120 clinically relevant epicardial and endocardial device configurations in adult and pediatric anthropomorphic phantoms to determine the temperature rise during RF exposure at 1.5 T. The results showed that there was significantly higher RF heating of epicardial leads than endocardial leads in the pediatric phantom, but not in the adult phantom. Additionally, body size and lead length significantly affected RF heating, with RF heating up to 12 °C observed in models based on younger children with short epicardial leads. The study provides evidence-based knowledge on RF-induced heating of CIEDs and highlights the importance of making individual risk-benefit decisions when assessing the potential risks of MRI scans in pediatric CIED patients.
Keyphrases
- contrast enhanced
- end stage renal disease
- magnetic resonance imaging
- computed tomography
- childhood cancer
- healthcare
- young adults
- chronic kidney disease
- newly diagnosed
- human health
- diffusion weighted imaging
- peritoneal dialysis
- heart failure
- left ventricular
- mental health
- electronic health record
- diabetic rats
- big data
- patient reported outcomes
- deep learning
- ultrasound guided