Literature DB >> 17869469

Reproducibility of CT-based bone texture parameters of cancellous calf bone samples: influence of slice thickness.

Pascal Guggenbuhl1, Daniel Chappard, Mireille Garreau, Jean-Yves Bansard, Gérard Chales, Yan Rolland.   

Abstract

Bone microarchitecture is an important determinant of the fracture risk, independently of bone mineral density. At present, bone biopsy is required for microarchitecture assessment, and accessible non-invasive techniques are needed. In this study, we tested the short-term reproducibility and parameter changes of a non-invasive method for microarchitecture assessment with a medical computed tomography. Texture parameters (run lengths and co-occurrence) were extracted from bone sample images. Reproducibility and the influence of slice thickness (1, 3, 5 and 8mm) were also studied. After five repositionings, short-term reproducibility was found to be good. All run length parameters but one fell significantly with increasing slice thickness. Co-occurrence parameters showed different patterns of change. Short-term coefficients of variation of texture parameters used to assess bone microarchitecture were similar to those obtained elsewhere with other techniques. The results were influenced by slice thicknesses, emphasizing the importance of the conditions of acquisition.

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Year:  2007        PMID: 17869469     DOI: 10.1016/j.ejrad.2007.08.003

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  7 in total

1.  Responsible Radiomics Research for Faster Clinical Translation.

Authors:  Martin Vallières; Alex Zwanenburg; Bodgan Badic; Catherine Cheze Le Rest; Dimitris Visvikis; Mathieu Hatt
Journal:  J Nucl Med       Date:  2017-11-24       Impact factor: 10.057

2.  Effect of slice thickness on brain magnetic resonance image texture analysis.

Authors:  Sami J Savio; Lara C V Harrison; Tiina Luukkaala; Tomi Heinonen; Prasun Dastidar; Seppo Soimakallio; Hannu J Eskola
Journal:  Biomed Eng Online       Date:  2010-10-18       Impact factor: 2.819

3.  Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility.

Authors:  Abhishek Midya; Jayasree Chakraborty; Mithat Gönen; Richard K G Do; Amber L Simpson
Journal:  J Med Imaging (Bellingham)       Date:  2018-02-15

4.  Computed tomography texture analysis to facilitate therapeutic decision making in hepatocellular carcinoma.

Authors:  Meng Li; Sirui Fu; Yanjie Zhu; Zaiyi Liu; Shuting Chen; Ligong Lu; Changhong Liang
Journal:  Oncotarget       Date:  2016-03-15

5.  Assessment of slice thickness effect on visibility of inferior alveolar canal in cone beam computed tomography images.

Authors:  Daryoush Goodarzi Pour; Banafsheh Arzi; Ahmad Reza Shamshiri
Journal:  Dent Res J (Isfahan)       Date:  2016 Nov-Dec

6.  Texture analysis of acute myocardial infarction with CT: First experience study.

Authors:  Ricarda Hinzpeter; Matthias W Wagner; Moritz C Wurnig; Burkhardt Seifert; Robert Manka; Hatem Alkadhi
Journal:  PLoS One       Date:  2017-11-02       Impact factor: 3.240

7.  Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths.

Authors:  Heather M Whitney; Karen Drukker; Alexandra Edwards; John Papaioannou; Milica Medved; Gregory Karczmar; Maryellen L Giger
Journal:  Magn Reson Imaging       Date:  2021-06-24       Impact factor: 3.130

  7 in total

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