Title

Calculation of Organ Doses for a Large Number of Patients Undergoing CT Examinations.

Document Type

Article

Publication Date

10-1-2015

Publication Title

AJR Am J Roentgenol

Abstract

OBJECTIVE: The objective of our study was to develop an automated calculation method to provide organ dose assessment for a large cohort of pediatric and adult patients undergoing CT examinations.

MATERIALS AND METHODS: We adopted two dose libraries that were previously published: the volume CT dose index-normalized organ dose library and the tube current-exposure time product (100 mAs)-normalized weighted CT dose index library. We developed an algorithm to calculate organ doses using the two dose libraries and the CT parameters available from DICOM data. We calculated organ doses for pediatric (n = 2499) and adult (n = 2043) CT examinations randomly selected from four health care systems in the United States and compared the adult organ doses with the values calculated from the ImPACT calculator.

RESULTS: The median brain dose was 20 mGy (pediatric) and 24 mGy (adult), and the brain dose was greater than 40 mGy for 11% (pediatric) and 18% (adult) of the head CT studies. Both the National Cancer Institute (NCI) and ImPACT methods provided similar organ doses (median discrepancy < 20%) for all organs except the organs located close to the scanning boundaries. The visual comparisons of scanning coverage and phantom anatomies revealed that the NCI method, which is based on realistic computational phantoms, provides more accurate organ doses than the ImPACT method.

CONCLUSION: The automated organ dose calculation method developed in this study reduces the time needed to calculate doses for a large number of patients. We have successfully used this method for a variety of CT-related studies including retrospective epidemiologic studies and CT dose trend analysis studies.

Medical Subject Headings

Algorithms; Automation; Female; Humans; Male; Monte Carlo Method; Phantoms, Imaging; Radiation Dosage; Radiometry; Tomography, X-Ray Computed; United States

PubMed ID

26397332

Volume

205

Issue

4

First Page

827

Last Page

833

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