Literature DB >> 10463653

Multicentre magnetic resonance texture analysis trial using reticulated foam test objects.

R A Lerski1, L R Schad, R Luypaert, A Amorison, R N Muller, L Mascaro, P Ring, A Spisni, X Zhu, A Bruno.   

Abstract

Texture analysis in magnetic resonance imaging has the ability to provide useful diagnostic information with respect to the discrimination of disease states of a single tissue or the separation of different tissues. However, for widespread use it is necessary to determine how texture measurements carried out in one center relate to those carried out in another. To this end, a multicentre trial has been performed where reticulated foam test objects have been scanned in six European centers according to a fixed protocol. It has been concluded that texture measurements are not transportable between centers. Principal component models calculated from the texture parameters collected in one center do not fit the data collected in another. Further trials are to investigate whether the reticulated foam test objects may be used to normalize tissue texture data collected in different centers.

Mesh:

Year:  1999        PMID: 10463653     DOI: 10.1016/s0730-725x(99)00034-x

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  9 in total

1.  Diagnostic value of MRI-based 3D texture analysis for tissue characterisation and discrimination of low-grade chondrosarcoma from enchondroma: a pilot study.

Authors:  Catharina S Lisson; Christoph G Lisson; Kerstin Flosdorf; Regine Mayer-Steinacker; Markus Schultheiss; Alexandra von Baer; Thomas F E Barth; Ambros J Beer; Matthias Baumhauer; Reinhard Meier; Meinrad Beer; Stefan A Schmidt
Journal:  Eur Radiol       Date:  2017-09-07       Impact factor: 5.315

2.  MRI-Based Texture Analysis to Differentiate Sinonasal Squamous Cell Carcinoma from Inverted Papilloma.

Authors:  S Ramkumar; S Ranjbar; S Ning; D Lal; C M Zwart; C P Wood; S M Weindling; T Wu; J R Mitchell; J Li; J M Hoxworth
Journal:  AJNR Am J Neuroradiol       Date:  2017-03-02       Impact factor: 3.825

Review 3.  The progress of multimodal imaging combination and subregion based radiomics research of cancers.

Authors:  Luyuan Zhang; Yumin Wang; Zhouying Peng; Yuxiang Weng; Zebin Fang; Feng Xiao; Chao Zhang; Zuoxu Fan; Kaiyuan Huang; Yu Zhu; Weihong Jiang; Jian Shen; Renya Zhan
Journal:  Int J Biol Sci       Date:  2022-05-09       Impact factor: 10.750

4.  FLAIR signal and texture analysis for lateralizing mesial temporal lobe epilepsy.

Authors:  Kourosh Jafari-Khouzani; Kost Elisevich; Suresh Patel; Brien Smith; Hamid Soltanian-Zadeh
Journal:  Neuroimage       Date:  2009-09-08       Impact factor: 6.556

5.  MRI texture analysis in multiple sclerosis.

Authors:  Yunyan Zhang
Journal:  Int J Biomed Imaging       Date:  2011-11-16

Review 6.  Radiomics: the facts and the challenges of image analysis.

Authors:  Stefania Rizzo; Francesca Botta; Sara Raimondi; Daniela Origgi; Cristiana Fanciullo; Alessio Giuseppe Morganti; Massimo Bellomi
Journal:  Eur Radiol Exp       Date:  2018-11-14

7.  Influence of Magnetic Field Strength on Magnetic Resonance Imaging Radiomics Features in Brain Imaging, an In Vitro and In Vivo Study.

Authors:  Samy Ammari; Stephanie Pitre-Champagnat; Laurent Dercle; Emilie Chouzenoux; Salma Moalla; Sylvain Reuze; Hugues Talbot; Tite Mokoyoko; Joya Hadchiti; Sebastien Diffetocq; Andreas Volk; Mickeal El Haik; Sara Lakiss; Corinne Balleyguier; Nathalie Lassau; Francois Bidault
Journal:  Front Oncol       Date:  2021-01-20       Impact factor: 6.244

8.  Impact of rescanning and repositioning on radiomic features employing a multi-object phantom in magnetic resonance imaging.

Authors:  Simon Bernatz; Yauheniya Zhdanovich; Jörg Ackermann; Ina Koch; Peter J Wild; Daniel Pinto Dos Santos; Thomas J Vogl; Benjamin Kaltenbach; Nicolas Rosbach
Journal:  Sci Rep       Date:  2021-07-09       Impact factor: 4.379

9.  Texture analysis of T1 - and T2 -weighted MR images and use of probabilistic neural network to discriminate posterior fossa tumours in children.

Authors:  Eleni Orphanidou-Vlachou; Nikolaos Vlachos; Nigel P Davies; Theodoros N Arvanitis; Richard G Grundy; Andrew C Peet
Journal:  NMR Biomed       Date:  2014-04-13       Impact factor: 4.044

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.