Literature DB >> 26999065

Information-based ranking of 10 compartment models of diffusion-weighted signal attenuation in fixed prostate tissue.

Sisi Liang1, Eleftheria Panagiotaki2, Andre Bongers3, Peng Shi1, Paul Sved4, Geoffrey Watson5, Roger Bourne6.   

Abstract

This study compares the theoretical information content of single- and multi-compartment models of diffusion-weighted signal attenuation in prostate tissue. Diffusion-weighted imaging (DWI) was performed at 9.4 T with multiple diffusion times and an extended range of b values in four whole formalin-fixed prostates. Ten models, including different combinations of isotropic, anisotropic and restricted components, were tested. Models were ranked using the Akaike information criterion. In all four prostates, two-component models, comprising an anisotropic Gaussian component and an isotropic restricted component, ranked highest in the majority of voxels. Single-component models, whether isotropic (apparent diffusion coefficient, ADC) or anisotropic (diffusion tensor imaging, DTI), consistently ranked lower than multi-component models. Model ranking trends were independent of voxel size and maximum b value in the range tested (1.6-16 mm(3) and 3000-10,000 s/mm(2)). This study characterizes the two major water components previously identified by biexponential models and shows that models incorporating both anisotropic and restricted components provide more information-rich descriptions of DWI signals in prostate tissue than single- or multi-component anisotropic models and models that do not account for restricted diffusion.
Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  compartment models; diffusion; microstructure imaging; modeling; prostate; restricted diffusion

Mesh:

Year:  2016        PMID: 26999065     DOI: 10.1002/nbm.3510

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  6 in total

Review 1.  Limitations and Prospects for Diffusion-Weighted MRI of the Prostate.

Authors:  Roger Bourne; Eleftheria Panagiotaki
Journal:  Diagnostics (Basel)       Date:  2016-05-27

2.  Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study.

Authors:  Colleen Bailey; Bernard Siow; Eleftheria Panagiotaki; John H Hipwell; Thomy Mertzanidou; Julie Owen; Patrycja Gazinska; Sarah E Pinder; Daniel C Alexander; David J Hawkes
Journal:  NMR Biomed       Date:  2016-12-21       Impact factor: 4.044

3.  VERDICT MRI validation in fresh and fixed prostate specimens using patient-specific moulds for histological and MR alignment.

Authors:  Colleen Bailey; Roger M Bourne; Bernard Siow; Edward W Johnston; Mrishta Brizmohun Appayya; Hayley Pye; Susan Heavey; Thomy Mertzanidou; Hayley Whitaker; Alex Freeman; Dominic Patel; Greg L Shaw; Ashwin Sridhar; David J Hawkes; Shonit Punwani; Daniel C Alexander; Eleftheria Panagiotaki
Journal:  NMR Biomed       Date:  2019-02-19       Impact factor: 4.044

4.  Removing rician bias in diffusional kurtosis of the prostate using real-data reconstruction.

Authors:  Rosie J Goodburn; Tristan Barrett; Ilse Patterson; Ferdia A Gallagher; Edward M Lawrence; Vincent J Gnanapragasam; Christof Kastner; Andrew N Priest
Journal:  Magn Reson Med       Date:  2019-11-18       Impact factor: 4.668

Review 5.  Diffusion-Weighted MRI in the Genitourinary System.

Authors:  Thomas De Perrot; Christine Sadjo Zoua; Carl G Glessgen; Diomidis Botsikas; Lena Berchtold; Rares Salomir; Sophie De Seigneux; Harriet C Thoeny; Jean-Paul Vallée
Journal:  J Clin Med       Date:  2022-03-30       Impact factor: 4.241

6.  Differentiating False Positive Lesions from Clinically Significant Cancer and Normal Prostate Tissue Using VERDICT MRI and Other Diffusion Models.

Authors:  Snigdha Sen; Vanya Valindria; Paddy J Slator; Hayley Pye; Alistair Grey; Alex Freeman; Caroline Moore; Hayley Whitaker; Shonit Punwani; Saurabh Singh; Eleftheria Panagiotaki
Journal:  Diagnostics (Basel)       Date:  2022-07-05
  6 in total

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