Literature DB >> 21698465

Making renal stones change size-impact of CT image post processing and reader variability.

Mats Lidén1, Torbjörn Andersson, Håkan Geijer.   

Abstract

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.

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Mesh:

Year:  2011        PMID: 21698465     DOI: 10.1007/s00330-011-2171-x

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  14 in total

1.  Relationship of spontaneous passage of ureteral calculi to stone size and location as revealed by unenhanced helical CT.

Authors:  Deirdre M Coll; Michael J Varanelli; Robert C Smith
Journal:  AJR Am J Roentgenol       Date:  2002-01       Impact factor: 3.959

2.  Comparison of helical computerized tomography and plain radiography for estimating urinary stone size.

Authors:  Narendra Narepalem; Chandru P Sundaram; Illya C Boridy; Yan Yan; Jay P Heiken; Ralph V Clayman
Journal:  J Urol       Date:  2002-03       Impact factor: 7.450

3.  Assessing intrarater, interrater and test-retest reliability of continuous measurements.

Authors:  Valentin Rousson; Theo Gasser; Burkhardt Seifert
Journal:  Stat Med       Date:  2002-11-30       Impact factor: 2.373

4.  Prognosis of stone in the ureter.

Authors:  E SANDEGARD
Journal:  Acta Chir Scand Suppl       Date:  1956

5.  Coronal imaging to assess urinary tract stone size.

Authors:  Robert B Nadler; Jeffrey A Stern; Simon Kimm; Frederick Hoff; Alfred W Rademaker
Journal:  J Urol       Date:  2004-09       Impact factor: 7.450

6.  Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society.

Authors:  Heber MacMahon; John H M Austin; Gordon Gamsu; Christian J Herold; James R Jett; David P Naidich; Edward F Patz; Stephen J Swensen
Journal:  Radiology       Date:  2005-11       Impact factor: 11.105

7.  Accuracy of detection and measurement of renal calculi: in vitro comparison of three-dimensional spiral CT, radiography, and nephrotomography.

Authors:  E W Olcott; F G Sommer; S Napel
Journal:  Radiology       Date:  1997-07       Impact factor: 11.105

8.  Estimation of size of distal ureteral stones: noncontrast CT scan versus actual size.

Authors:  T A Kishore; Renato N Pedro; Bryan Hinck; Manoj Monga
Journal:  Urology       Date:  2008-08-13       Impact factor: 2.649

9.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

10.  The value of unenhanced helical computerized tomography in the management of acute flank pain.

Authors:  N C Dalrymple; M Verga; K R Anderson; P Bove; A M Covey; A T Rosenfield; R C Smith
Journal:  J Urol       Date:  1998-03       Impact factor: 7.450

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  9 in total

1.  Urinary stone size estimation: a new segmentation algorithm-based CT method.

Authors:  Mats Lidén; Torbjörn Andersson; Mathias Broxvall; Per Thunberg; Håkan Geijer
Journal:  Eur Radiol       Date:  2011-12-08       Impact factor: 5.315

2.  Measurement of Posterior Acoustic Stone Shadow on Ultrasound Is a Learnable Skill for Inexperienced Users to Improve Accuracy of Stone Sizing.

Authors:  Jessica C Dai; Barbrina Dunmire; Ziyue Liu; Kevan M Sternberg; Michael R Bailey; Jonathan D Harper; Mathew D Sorensen
Journal:  J Endourol       Date:  2018-10-22       Impact factor: 2.942

3.  Computer-aided detection of renal calculi from noncontrast CT images using TV-flow and MSER features.

Authors:  Jianfei Liu; Shijun Wang; Evrim B Turkbey; Marius George Linguraru; Jianhua Yao; Ronald M Summers
Journal:  Med Phys       Date:  2015-01       Impact factor: 4.071

4.  Volume should be used instead of diameter for kidney stones between 10 and 20 mm to determine the type of surgery and increase success.

Authors:  Ediz Vuruskan; Okan Dilek; Kadir Karkin; Umut Unal; Lokman Ayhan; Nevzat Can Sener
Journal:  Urolithiasis       Date:  2022-01-24       Impact factor: 2.861

5.  Retrospective comparison of measured stone size and posterior acoustic shadow width in clinical ultrasound images.

Authors:  Jessica C Dai; Barbrina Dunmire; Kevan M Sternberg; Ziyue Liu; Troy Larson; Jeff Thiel; Helena C Chang; Jonathan D Harper; Michael R Bailey; Mathew D Sorensen
Journal:  World J Urol       Date:  2017-12-14       Impact factor: 4.226

6.  Prediction of spontaneous ureteral stone passage: Automated 3D-measurements perform equal to radiologists, and linear measurements equal to volumetric.

Authors:  Johan Jendeberg; Håkan Geijer; Muhammed Alshamari; Mats Lidén
Journal:  Eur Radiol       Date:  2018-01-24       Impact factor: 5.315

7.  Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage.

Authors:  Johan Jendeberg; Håkan Geijer; Muhammed Alshamari; Bartosz Cierzniak; Mats Lidén
Journal:  Eur Radiol       Date:  2017-06-07       Impact factor: 5.315

8.  Computed tomography window affects kidney stones measurements.

Authors:  Alexandre Danilovic; Bruno Aragão Rocha; Giovanni Scala Marchini; Olivier Traxer; Carlos Batagello; Fabio Carvalho Vicentini; Fábio César Miranda Torricelli; Miguel Srougi; William Carlos Nahas; Eduardo Mazzucchi
Journal:  Int Braz J Urol       Date:  2019 Sep-Oct       Impact factor: 3.050

9.  Influence of a Deep Learning Noise Reduction on the CT Values, Image Noise and Characterization of Kidney and Ureter Stones.

Authors:  Andrea Steuwe; Birte Valentin; Oliver T Bethge; Alexandra Ljimani; Günter Niegisch; Gerald Antoch; Joel Aissa
Journal:  Diagnostics (Basel)       Date:  2022-07-05
  9 in total

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