Literature DB >> 9005878

The role of MRI in clinical trials of multiple sclerosis: comparison of image processing techniques.

A C Evans1, J A Frank, J Antel, D H Miller.   

Abstract

Magnetic resonance imaging (MRI) has received considerable attention in recent years over its potential for providing indices of multiple sclerosis activity and progression in clinical trials of new pharmaceuticals. The perceived advantages of MRI-derived measurements include greater objectivity, sensitivity, and reproducibility when compared with clinical rating scales. Clinical scales are also somewhat biased toward lesions affecting locomotion. However, the myriad permutations of MRI acquisition parameters, analysis methodologies, and disease indices demand careful consideration when employing MRI. Moreover, the use of MRI in research into the basic mechanisms of a disease may have different requirements than its use in a clinical trial setting. Consequently, a conference was held, sponsored by the US and Canadian multiple sclerosis societies, to review the present status of various MRI processing strategies and their potential role in clinical trials. Thirteen laboratories from North America and Europe as well as regulatory agencies and statistical consultants made formal presentations followed by extended discussion. This report presents the conclusions reached and recommendations for further action that emerged from the meeting.

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Mesh:

Year:  1997        PMID: 9005878     DOI: 10.1002/ana.410410123

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  10 in total

1.  Quantitative functional MR imaging of the visual cortex at 1.5 T as a function of luminance contrast in healthy volunteers and patients with multiple sclerosis.

Authors:  Scott H Faro; Feroze B Mohamed; Joseph I Tracy; Robert M Elfont; Alexander B Pinus; Fred D Lublin; Robert A Koenigsberg; Cheng Y Chen; Fong Y Tsai
Journal:  AJNR Am J Neuroradiol       Date:  2002-01       Impact factor: 3.825

2.  Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.

Authors:  Aaron Carass; Snehashis Roy; Amod Jog; Jennifer L Cuzzocreo; Elizabeth Magrath; Adrian Gherman; Julia Button; James Nguyen; Ferran Prados; Carole H Sudre; Manuel Jorge Cardoso; Niamh Cawley; Olga Ciccarelli; Claudia A M Wheeler-Kingshott; Sébastien Ourselin; Laurence Catanese; Hrishikesh Deshpande; Pierre Maurel; Olivier Commowick; Christian Barillot; Xavier Tomas-Fernandez; Simon K Warfield; Suthirth Vaidya; Abhijith Chunduru; Ramanathan Muthuganapathy; Ganapathy Krishnamurthi; Andrew Jesson; Tal Arbel; Oskar Maier; Heinz Handels; Leonardo O Iheme; Devrim Unay; Saurabh Jain; Diana M Sima; Dirk Smeets; Mohsen Ghafoorian; Bram Platel; Ariel Birenbaum; Hayit Greenspan; Pierre-Louis Bazin; Peter A Calabresi; Ciprian M Crainiceanu; Lotta M Ellingsen; Daniel S Reich; Jerry L Prince; Dzung L Pham
Journal:  Neuroimage       Date:  2017-01-11       Impact factor: 6.556

3.  Survey of the distribution of lesion size in multiple sclerosis: implication for the measurement of total lesion load.

Authors:  L Wang; H M Lai; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-10       Impact factor: 10.154

4.  A four-dimensional probabilistic atlas of the human brain.

Authors:  J Mazziotta; A Toga; A Evans; P Fox; J Lancaster; K Zilles; R Woods; T Paus; G Simpson; B Pike; C Holmes; L Collins; P Thompson; D MacDonald; M Iacoboni; T Schormann; K Amunts; N Palomero-Gallagher; S Geyer; L Parsons; K Narr; N Kabani; G Le Goualher; J Feidler; K Smith; D Boomsma; H Hulshoff Pol; T Cannon; R Kawashima; B Mazoyer
Journal:  J Am Med Inform Assoc       Date:  2001 Sep-Oct       Impact factor: 4.497

5.  Subtraction MR images in a multiple sclerosis multicenter clinical trial setting.

Authors:  Bastiaan Moraal; Dominik S Meier; Peter A Poppe; Jeroen J G Geurts; Hugo Vrenken; William M A Jonker; Dirk L Knol; Ronald A van Schijndel; Petra J W Pouwels; Christoph Pohl; Lars Bauer; Rupert Sandbrink; Charles R G Guttmann; Frederik Barkhof
Journal:  Radiology       Date:  2008-11-26       Impact factor: 11.105

6.  FLAIR histogram segmentation for measurement of leukoaraiosis volume.

Authors:  C R Jack; P C O'Brien; D W Rettman; M M Shiung; Y Xu; R Muthupillai; A Manduca; R Avula; B J Erickson
Journal:  J Magn Reson Imaging       Date:  2001-12       Impact factor: 4.813

Review 7.  Nuclear magnetic resonance monitoring of treatment and prediction of outcome in multiple sclerosis.

Authors:  D H Miller; A J Thompson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-10-29       Impact factor: 6.237

8.  Predicting classifier performance with limited training data: applications to computer-aided diagnosis in breast and prostate cancer.

Authors:  Ajay Basavanhally; Satish Viswanath; Anant Madabhushi
Journal:  PLoS One       Date:  2015-05-18       Impact factor: 3.240

9.  Volumetric analysis of amygdala, hippocampus, and prefrontal cortex in therapy-naive PTSD participants.

Authors:  Ana Starcevic; Srdjan Postic; Zoran Radojicic; Branislav Starcevic; Srdjan Milovanovic; Andrej Ilankovic; Ivan Dimitrijevic; Aleksandar Damjanovic; Milan Aksić; Vidosava Radonjic
Journal:  Biomed Res Int       Date:  2014-03-13       Impact factor: 3.411

10.  Utilizing 3D Printing Technology to Merge MRI with Histology: A Protocol for Brain Sectioning.

Authors:  Nicholas J Luciano; Pascal Sati; Govind Nair; Joseph R Guy; Seung-Kwon Ha; Martina Absinta; Wen-Yang Chiang; Emily C Leibovitch; Steven Jacobson; Afonso C Silva; Daniel S Reich
Journal:  J Vis Exp       Date:  2016-12-06       Impact factor: 1.355

  10 in total

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