Document Detail


Making renal stones change size-impact of CT image post processing and reader variability.
MedLine Citation:
PMID:  21698465     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
OBJECTIVES: The objectives of this study were to quantify the impact of image post-processing parameters on the apparent renal stone size, and to quantify the intra- and inter-reader variability in renal stone size estimation. METHODS: Fifty CT datasets including a renal or ureteral stone were included retrospectively during a prospective inclusion period. Each of the CT datasets was post-processed in different ways regarding slice thickness, slice increment and window setting. In the first part of the study a single reader repeated size estimations for the renal stones using different post-processing parameters. In the intra-reader variability experiment one reader reported size estimations for the same images with a one-week interval. The inter-reader variability data were obtained from 11 readers reporting size estimations for the same renal stones. RESULTS: The apparent stone size differed according to image post-processing parameters with the largest mean differences seen with regard to the window settings experiment (1.5 mm, p < 0.001) and slice thickness (0.8 mm, p < 0.001). Changes in parameters introduced a bias and a pseudo-random variability. The inter-reader variability was considerably larger than the intra-reader variability. CONCLUSION: Our results indicate a need for the standardisation of making measurements on CT images.
Authors:
Mats Lidén; Torbjörn Andersson; Håkan Geijer
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-6-23
Journal Detail:
Title:  European radiology     Volume:  -     ISSN:  1432-1084     ISO Abbreviation:  -     Publication Date:  2011 Jun 
Date Detail:
Created Date:  2011-6-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9114774     Medline TA:  Eur Radiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
School of Health and Medical Sciences, Örebro University, 701 82, Örebro, Sweden, matsliden@yahoo.com.
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