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Title: Reference air kerma and kerma-area product as estimators of peak skin dose for fluoroscopically guided interventions

Abstract

Purpose: To determine more accurate regression formulas for estimating peak skin dose (PSD) from reference air kerma (RAK) or kerma-area product (KAP). Methods: After grouping of the data from 21 procedures into 13 clinically similar groups, assessments were made of optimal clustering using the Bayesian information criterion to obtain the optimal linear regressions of (log-transformed) PSD vs RAK, PSD vs KAP, and PSD vs RAK and KAP. Results: Three clusters of clinical groups were optimal in regression of PSD vs RAK, seven clusters of clinical groups were optimal in regression of PSD vs KAP, and six clusters of clinical groups were optimal in regression of PSD vs RAK and KAP. Prediction of PSD using both RAK and KAP is significantly better than prediction of PSD with either RAK or KAP alone. The regression of PSD vs RAK provided better predictions of PSD than the regression of PSD vs KAP. The partial-pooling (clustered) method yields smaller mean squared errors compared with the complete-pooling method.Conclusion: PSD distributions for interventional radiology procedures are log-normal. Estimates of PSD derived from RAK and KAP jointly are most accurate, followed closely by estimates derived from RAK alone. Estimates of PSD derived from KAP alone are themore » least accurate. Using a stochastic search approach, it is possible to cluster together certain dissimilar types of procedures to minimize the total error sum of squares.« less

Authors:
; ;  [1];  [2]
  1. Radiation Epidemiology Branch, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Bethesda, Maryland 20852-7238 (United States)
  2. (United States)
Publication Date:
OSTI Identifier:
22098567
Resource Type:
Journal Article
Journal Name:
Medical Physics
Additional Journal Information:
Journal Volume: 38; Journal Issue: 7; Other Information: (c) 2011 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; AIR; DISTRIBUTION; ERRORS; KERMA; RADIATION DOSES; RADIATION PROTECTION; RADIOLOGY; REGRESSION ANALYSIS; SKIN; STOCHASTIC PROCESSES

Citation Formats

Kwon, Deukwoo, Little, Mark P., Miller, Donald L., and Radiation Epidemiology Branch, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Bethesda, Maryland 20852-7238 and Department of Radiology and Radiological Sciences, F. Edward Hebert School of Medicine, Uniformed Services University, Bethesda, Maryland 20814. Reference air kerma and kerma-area product as estimators of peak skin dose for fluoroscopically guided interventions. United States: N. p., 2011. Web. doi:10.1118/1.3590358.
Kwon, Deukwoo, Little, Mark P., Miller, Donald L., & Radiation Epidemiology Branch, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Bethesda, Maryland 20852-7238 and Department of Radiology and Radiological Sciences, F. Edward Hebert School of Medicine, Uniformed Services University, Bethesda, Maryland 20814. Reference air kerma and kerma-area product as estimators of peak skin dose for fluoroscopically guided interventions. United States. doi:10.1118/1.3590358.
Kwon, Deukwoo, Little, Mark P., Miller, Donald L., and Radiation Epidemiology Branch, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Bethesda, Maryland 20852-7238 and Department of Radiology and Radiological Sciences, F. Edward Hebert School of Medicine, Uniformed Services University, Bethesda, Maryland 20814. Fri . "Reference air kerma and kerma-area product as estimators of peak skin dose for fluoroscopically guided interventions". United States. doi:10.1118/1.3590358.
@article{osti_22098567,
title = {Reference air kerma and kerma-area product as estimators of peak skin dose for fluoroscopically guided interventions},
author = {Kwon, Deukwoo and Little, Mark P. and Miller, Donald L. and Radiation Epidemiology Branch, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Bethesda, Maryland 20852-7238 and Department of Radiology and Radiological Sciences, F. Edward Hebert School of Medicine, Uniformed Services University, Bethesda, Maryland 20814},
abstractNote = {Purpose: To determine more accurate regression formulas for estimating peak skin dose (PSD) from reference air kerma (RAK) or kerma-area product (KAP). Methods: After grouping of the data from 21 procedures into 13 clinically similar groups, assessments were made of optimal clustering using the Bayesian information criterion to obtain the optimal linear regressions of (log-transformed) PSD vs RAK, PSD vs KAP, and PSD vs RAK and KAP. Results: Three clusters of clinical groups were optimal in regression of PSD vs RAK, seven clusters of clinical groups were optimal in regression of PSD vs KAP, and six clusters of clinical groups were optimal in regression of PSD vs RAK and KAP. Prediction of PSD using both RAK and KAP is significantly better than prediction of PSD with either RAK or KAP alone. The regression of PSD vs RAK provided better predictions of PSD than the regression of PSD vs KAP. The partial-pooling (clustered) method yields smaller mean squared errors compared with the complete-pooling method.Conclusion: PSD distributions for interventional radiology procedures are log-normal. Estimates of PSD derived from RAK and KAP jointly are most accurate, followed closely by estimates derived from RAK alone. Estimates of PSD derived from KAP alone are the least accurate. Using a stochastic search approach, it is possible to cluster together certain dissimilar types of procedures to minimize the total error sum of squares.},
doi = {10.1118/1.3590358},
journal = {Medical Physics},
issn = {0094-2405},
number = 7,
volume = 38,
place = {United States},
year = {2011},
month = {7}
}