Evaluation of the UF/NCI hybrid computational phantoms for use in organ dosimetry of pediatric patients undergoing fluoroscopically guided cardiac procedures

Epidemiologic data demonstrate that pediatric patients face a higher relative risk of radiation induced cancers than their adult counterparts at equivalent exposures. Infants and children with congenital heart defects are a critical patient population exposed to ionizing radiation during life-saving procedures. These patients will likely incur numerous procedures throughout their lifespan, each time increasing their cumulative radiation absorbed dose. As continued improvements in long-term prognosis of congenital heart defect patients is achieved, a better understanding of organ radiation dose following treatment becomes increasingly vital. Dosimetry of these patients can be accomplished using Monte Carlo radiation transport simulations, coupled with modern anatomical patient models. The aim of this study was to evaluate the performance of the University of Florida/National Cancer Institute (UF/NCI) pediatric hybrid computational phantom library for organ dose assessment of patients that have undergone fluoroscopically guided cardiac catheterizations. In this study, two types of simulations were modeled. A dose assessment was performed on 29 patient-specific voxel phantoms (taken as representing the patient's true anatomy), height/weight-matched hybrid library phantoms, and age-matched reference phantoms. Two exposure studies were conducted for each phantom type. First, a parametric study was constructed by the attending pediatric interventional cardiologist at the University of Florida to model the range of parameters seen clinically. Second, four clinical cardiac procedures were simulated based upon internal logfiles captured by a Toshiba Infinix-i Cardiac Bi-Plane fluoroscopic unit. Performance of the phantom library was quantified by computing both the percent difference in individual organ doses, as well as the organ dose root mean square values for overall phantom assessment between the matched phantoms (UF/NCI library or reference) and the patient-specific phantoms. The UF/NCI hybrid phantoms performed at percent differences of between 15% and 30% for the parametric set of irradiation events. Among internal logfile reconstructed procedures, the UF/NCI hybrid phantoms performed with RMS organ dose values between 7% and 29%. Percent improvement in organ dosimetry via the use of hybrid library phantoms over the reference phantoms ranged from 6.6% to 93%. The use of a hybrid phantom library, Monte Carlo radiation transport methods, and clinical information on irradiation events provide a means for tracking organ dose in these radiosensitive patients undergoing fluoroscopically guided cardiac procedures.

[1]  Cynthia H McCollough,et al.  A method to generate equivalent energy spectra and filtration models based on measurement for multidetector CT Monte Carlo dosimetry simulations. , 2009, Medical physics.

[2]  Stephen Balter Capturing patient doses from fluoroscopically based diagnostic and interventional systems. , 2008, Health physics.

[3]  Wesley E Bolch,et al.  The UF/NCI family of hybrid computational phantoms representing the current US population of male and female children, adolescents, and adults—application to CT dosimetry , 2014, Physics in medicine and biology.

[4]  Daniel Lodwick,et al.  The UF family of reference hybrid phantoms for computational radiation dosimetry , 2010, Physics in medicine and biology.

[5]  Perry B. Johnson,et al.  The impact of anthropometric patient-phantom matching on organ dose: a hybrid phantom study for fluoroscopy guided interventions. , 2011, Medical physics.

[6]  Henry I. Kohn,et al.  Sources, Effects and Risks of Ionizing Radiation , 1989 .

[7]  A. Cowen Cardiovascular X-ray Imaging: Physics, Equipment and Techniques , 2013 .

[8]  Y. Boudjemline,et al.  Local Reference Levels and Organ Doses From Pediatric Cardiac Interventional Procedures , 2014, Pediatric Cardiology.

[9]  Wesley E Bolch,et al.  Assessment of different patient‐to‐phantom matching criteria applied in Monte Carlo–based computed tomography dosimetry , 2017, Medical physics.

[10]  Stephen Balter,et al.  A hybrid phantom system for patient skin and organ dosimetry in fluoroscopically guided interventions , 2017, Medical physics.

[11]  K. McHugh,et al.  Radiation doses from fluoroscopically guided cardiac catheterization procedures in children and young adults in the United Kingdom: a multicentre study. , 2015, The British journal of radiology.

[12]  J. Boone,et al.  An accurate method for computer-generating tungsten anode x-ray spectra from 30 to 140 kV. , 1997, Medical physics.

[13]  J. Rome,et al.  Patient Radiation Exposure in a Modern, Large-Volume, Pediatric Cardiac Catheterization Laboratory , 2014, Pediatric Cardiology.

[14]  I. Tsalafoutas,et al.  Estimation of radiation dose and risk to children undergoing cardiac catheterization for the treatment of a congenital heart disease using Monte Carlo simulations , 2013, Pediatric Radiology.

[15]  J H Siewerdsen,et al.  Spektr: a computational tool for x-ray spectral analysis and imaging system optimization. , 2004, Medical physics.

[16]  R. Vetter ICRP Publication 103, The Recommendations of the International Commission on Radiological Protection , 2008 .