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Making renal stones change size: impact of CT image post processing and reader variability
Örebro University, School of Health and Medical Sciences.ORCID iD: 0000-0002-1346-1450
Örebro University, School of Medicine, Örebro University, Sweden.
Örebro University, School of Health and Medical Sciences.ORCID iD: 0000-0003-3253-8967
2011 (English)In: European Radiology, ISSN 0938-7994, E-ISSN 1432-1084, Vol. 21, no 10, p. 2218-2225Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2011. Vol. 21, no 10, p. 2218-2225
National Category
Medical and Health Sciences
Research subject
Medicine
Identifiers
URN: urn:nbn:se:oru:diva-18641DOI: 10.1007/s00330-011-2171-xISI: 000294471100027OAI: oai:DiVA.org:oru-18641DiVA, id: diva2:444917
Available from: 2011-09-30 Created: 2011-09-29 Last updated: 2019-03-26Bibliographically approved
In thesis
1. The stack mode review of volumetric datasets: applications for urinary stone disease
Open this publication in new window or tab >>The stack mode review of volumetric datasets: applications for urinary stone disease
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

During the last decades the acquisition and visualization of radiological images have rapidly evolved. The increasing amounts of volumetric image data particularly from modern CT systems necessitate a constant evolution of the radiological visualization techniques.

The dominating display mode for volumetric images has been the stack mode display since its introduction in computerized image review. In the increasing amounts of image data, the stack mode display needs to be analyzed so that the information content in the high resolution datasets can be transformed into clinically relevant information for the management of the individual patient. In the present thesis some aspects of the stack mode display were analyzed using for the most part the size estimation of urinary stones in unenhanced CT as a model.

The estimated size has an important correlation to the prognosis for spontaneous passage of an obstructing ureteral stone. In the present thesis the reader variations in the size estimation of urinary stones were quantified, using different visualization parameters and after an attempt to reduce the variations with a training session for the readers. The influence on the estimated stone size of CT image post processing parameters was quantified. A segmentation algorithm was developed and demonstrated to reduce the reader variability through reader independent computer aid. One limitation of the stack mode display concerns three-dimensional shapes, which was modeled by a comparison between the estimated length and width of urinary stones in two- and three-dimensional segmentation. The increasing number of image slices in the acquisitions introduces a need for efficient navigation of the image volumes. In the present thesis the navigation of CT datasets using different user interface devices was evaluated.

The rapid evolution of the MRI and CT systems necessitates a constant refinement and evaluation of the cornerstone for radiological volumetric reviewing – the stack mode display of volumetric datasets.

Place, publisher, year, edition, pages
Örebro: Örebro universitet, 2013. p. 61
Series
Örebro Studies in Medicine, ISSN 1652-4063 ; 91
Keywords
stack mode display, image visualization, image perception, computed tomography, urinary stones, urolithiasis, PACS
National Category
Radiology, Nuclear Medicine and Medical Imaging
Research subject
Medicine
Identifiers
urn:nbn:se:oru:diva-30324 (URN)978-91-7668-948-6 (ISBN)
Public defence
2013-10-04, Bohmanssonsalen, Universitetssjukhuset i Örebro, Örebro, 09:00 (Swedish)
Opponent
Supervisors
Available from: 2013-08-26 Created: 2013-08-26 Last updated: 2019-03-26Bibliographically approved

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Lidén, MatsAndersson, TorbjörnGeijer, Håkan

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