Patient-Informed Organ Dose Estimation in Clinical CT: Implementation and Effective Dose Assessment in 1048 Clinical Patients.
Abstract
OBJECTIVE. The purpose of this study is to comprehensively implement a patient-informed organ
dose monitoring framework for clinical CT and compare the effective dose (ED) according
to the patient-informed organ dose with ED according to the dose-length product (DLP)
in 1048 patients. MATERIALS AND METHODS. Organ doses for a given examination are computed by matching the topogram to a computational
phantom from a library of anthropomorphic phantoms and scaling the fixed tube current
dose coefficients by the examination volume CT dose index (CTDIvol) and the tube-current modulation using a previously validated convolution-based technique.
In this study, the library was expanded to 58 adult, 56 pediatric, five pregnant,
and 12 International Commission on Radiological Protection (ICRP) reference models,
and the technique was extended to include multiple protocols, a bias correction, and
uncertainty estimates. The method was implemented in a clinical monitoring system
to estimate organ dose and organ dose-based ED for 647 abdomen-pelvis and 401 chest
examinations, which were compared with DLP-based ED using a t test. RESULTS. For the majority of the organs, the maximum errors in organ dose estimation were
18% and 8%, averaged across all protocols, without and with bias correction, respectively.
For the patient examinations, DLP-based ED was significantly different from organ
dose-based ED by as much as 190.9% and 234.7% for chest and abdomen-pelvis scans,
respectively (mean, 9.0% and 24.3%). The differences were statistically significant
(p < .001) and exhibited overestimation for larger-sized patients and underestimation
for smaller-sized patients. <b>CONCLUSION.</b> A patient-informed organ dose estimation
framework was comprehensively implemented applicable to clinical imaging of adult,
pediatric, and pregnant patients. Compared with organ dose-based ED, DLP-based ED
may overestimate effective dose for larger-sized patients and underestimate it for
smaller-sized patients.
Type
Journal articlePermalink
https://hdl.handle.net/10161/22242Published Version (Please cite this version)
10.2214/ajr.19.22482Publication Info
Fu, Wanyi; Ria, Francesco; Segars, William Paul; Choudhury, Kingshuk Roy; Wilson,
Joshua M; Kapadia, Anuj J; & Samei, Ehsan (2021). Patient-Informed Organ Dose Estimation in Clinical CT: Implementation and Effective
Dose Assessment in 1048 Clinical Patients. AJR. American journal of roentgenology. pp. 1-11. 10.2214/ajr.19.22482. Retrieved from https://hdl.handle.net/10161/22242.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Anuj J Kapadia
Adjunct Associate Professor in the Department of Radiology
My research focuses on developing an innovative imaging modality - Neutron Stimulated
Emission Computed Tomography (NSECT), that uses inelastic scattering through fast
neutrons to generate tomographic images of the body's element composition. Such information
is vital in diagnosing a variety of disorders ranging from iron and copper overload
in the liver to several cancers. Specifically, there are two ongoing projects: 1)
Experimental Implementation of NSECT Neutron sp
Francesco Ria
Assistant Professor in the Department of Radiology
Dr. Francesco Ria is a medical physicist and he serves as an Assistant Professor in
the Department of Radiology. Francesco has an extensive expertise in the assessment
of procedure performances in radiology. In particular, his research activities focus
on the simultaneous evaluation of radiation dose and image quality in vivo in computed
tomography providing a comprehensive evaluation of radiological exams. Moreover, Francesco
is developing and investigating novel mathematical models t
Ehsan Samei
Reed and Martha Rice Distinguished Professor of Radiology
Dr. Ehsan Samei, PhD, DABR, FAAPM, FSPIE, FAIMBE, FIOMP, FACR is a Persian-American
medical physicist. He is a tenured Professor of Radiology, Medical Physics, Biomedical
Engineering, Physics, and Electrical and Computer Engineering at Duke University,
where he also serves as the Chief Imaging Physicist for Duke University Health System,
the director of the Carl E Ravin Advanced Imaging Laboratories, and the director of
Center for Virtual Imaging Trials. He is certi
William Paul Segars
Associate Professor in Radiology
Our current research involves the use of computer-generated phantoms and simulation
techniques to investigate and optimize medical imaging systems and methods. Medical
imaging simulation involves virtual experiments carried out entirely on the computer
using computational models for the patients as well as the imaging devices. Simulation
is a powerful tool for characterizing, evaluating, and optimizing medical imaging
systems. A vital aspect of simulation is to have realistic models of the subje
Joshua M Wilson
Assistant Professor of Radiology
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