Cited by 39Radiopharmaceutical Chemistry and ApplicationsRadiation Dose and ImagingMedical Imaging Techniques and Applications

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Bootstrap resampling: a powerful method of assessing confidence intervals for doses from experimental data

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Iwi, G, Millard, R K, Palmer, A M, Preece, A W, Saunders, M·1999·Physics in Medicine and Biology

DOI 10.1088/0031-9155/44/4/021

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Abstract

Bootstrap resampling provides a versatile and reliable statistical method for estimating the accuracy of quantities which are calculated from experimental data. It is an empirically based method, in which large numbers of simulated datasets are generated by computer from existing measurements, so that approximate confidence intervals of the derived quantities may be obtained by direct numerical evaluation. A simple introduction to the method is given via a detailed example of estimating 95% confidence intervals for cumulated activity in the thyroid following injection of 99mTc-sodium pertechnetate using activity-time data from 23 subjects. The application of the approach to estimating confidence limits for the self-dose to the kidney following injection of 99mTc-DTPA organ imaging agent based on uptake data from 19 subjects is also illustrated. Results are then given for estimates of doses to the foetus following administration of 99mTc-sodium pertechnetate for clinical reasons during pregnancy, averaged over 25 subjects. The bootstrap method is well suited for applications in radiation dosimetry including uncertainty, reliability and sensitivity analysis of dose coefficients in biokinetic models, but it can also be applied in a wide range of other biomedical situations.

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Palmer A M, 1993, J. Nucl. Med., 35, 159P
Press W H, 1992
Stabin M G, 1996, J. Nucl. Med., 37, 538

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Authors: Iwi, G., Millard, R. K., Palmer, A. M., Preece, A. W., & Saunders, M.
ORCID: Preece, A W
Saunders, M
Venue: Physics in Medicine and Biology
Publisher: IOP Publishing
Published: 1999-01-01
Volume: 44
Issue: 4
Pages: N55-N62
ISSN: 0031-9155 (ISSN-L)
1361-6560
DOI: 10.1088/0031-9155/44/4/021
OpenAlex: W2002792016
Cited by: 39
References: 14
Citations by year: 2026: 5 · 2025: 1 · 2024: 1 · 2020: 2 · 2019: 1 · 2018: 1 · 2015: 2 · 2014: 1 · 2013: 2 · 2012: 4
FWCI: 1.60
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Physics in Medicine and Biology (publishedVersion)
PubMed (publishedVersion)
Funders: University of Bristol
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiopharmaceutical Chemistry and Applications
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiation Dose and Imaging
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
Keywords: bootstrapping, confidence intervals, radiation dosimetry, 99mTc-DTPA, pregnancy, biokinetic models, dose coefficients, uncertainty analysis, sensitivity analysis
MeSH terms: Female, Humans, Male, Maternal-Fetal Exchange, Monte Carlo Method, Pregnancy, Radiotherapy Planning, Computer-Assisted, Thyroid Gland, Time Factors, Tissue Distribution, Confidence Intervals

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Bootstrap resampling: a powerful method of assessing confidence intervals for doses from experimental data

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