Literature DB >> 20099339

Quantitative MR in multi-center clinical trials.

Edward Ashton1.   

Abstract

MRI has a wide variety of applications in the clinical trials process. MR has shown particular utility in the early phases of clinical development, when trial sponsors are interested in demonstrating proof of concept and must make decisions about allocation of resources to a particular compound based on the results from a small number of experimental subjects. This utility is largely due to the many different imaging endpoints that can be measured using MR, ranging from structural (tumor burden, hippocampal volume) to functional (blood flow, vascular permeability) to molecular (hepatic fat fraction, glycosaminoglycan content). The unique flexibility of these systems has proven to be both a blessing and a curse to those attempting to deploy MR in multi-center clinical trials, however, as differences among scanner manufacturers and models in pulse sequence implementation, hardware capabilities, and even terminology make it increasingly difficult to ensure that results obtained at one center are comparable to those at another. These problems are compounded by the differences between the procedures used in clinical trials and those used in routine clinical practice, which make trial-specific training for site technologists and radiologists a necessity in many cases. This article will briefly review the benefits of including quantitative MR imaging in clinical trials, then explore in detail the challenges presented by the need to develop and deploy a detailed MR protocol that is both effective and implementable across many different MR systems and software versions.

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Year:  2010        PMID: 20099339     DOI: 10.1002/jmri.22022

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  9 in total

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Authors:  Whitney B Pope; Xin Joe Qiao; Hyun J Kim; Albert Lai; Phioanh Nghiemphu; Xi Xue; Benjamin M Ellingson; David Schiff; Dawit Aregawi; Soonmee Cha; Vinay K Puduvalli; Jing Wu; Wai-Kwan A Yung; Geoffrey S Young; James Vredenburgh; Dan Barboriak; Lauren E Abrey; Tom Mikkelsen; Rajan Jain; Nina A Paleologos; Patricia Lada; Michael Prados; Jonathan Goldin; Patrick Y Wen; Timothy Cloughesy
Journal:  J Neurooncol       Date:  2012-03-18       Impact factor: 4.130

2.  Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge.

Authors:  Wei Huang; Xin Li; Yiyi Chen; Xia Li; Ming-Ching Chang; Matthew J Oborski; Dariya I Malyarenko; Mark Muzi; Guido H Jajamovich; Andriy Fedorov; Alina Tudorica; Sandeep N Gupta; Charles M Laymon; Kenneth I Marro; Hadrien A Dyvorne; James V Miller; Daniel P Barbodiak; Thomas L Chenevert; Thomas E Yankeelov; James M Mountz; Paul E Kinahan; Ron Kikinis; Bachir Taouli; Fiona Fennessy; Jayashree Kalpathy-Cramer
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

3.  Gray matter volume decreases in elderly patients with schizophrenia: a voxel-based morphometry study.

Authors:  Caroline Schuster; Anne Marie Schuller; Carlos Paulos; Izzie Namer; Charles Pull; Jean Marie Danion; Jack René Foucher
Journal:  Schizophr Bull       Date:  2011-01-04       Impact factor: 9.306

4.  The impact of reliable prebolus T 1 measurements or a fixed T 1 value in the assessment of glioma patients with dynamic contrast enhancing MRI.

Authors:  Anna Tietze; Kim Mouridsen; Irene Klærke Mikkelsen
Journal:  Neuroradiology       Date:  2015-03-06       Impact factor: 2.804

5.  A perspective on vascular disrupting agents that interact with tubulin: preclinical tumor imaging and biological assessment.

Authors:  Ralph P Mason; Dawen Zhao; Li Liu; Mary Lynn Trawick; Kevin G Pinney
Journal:  Integr Biol (Camb)       Date:  2011-02-14       Impact factor: 2.192

6.  Skeletal muscles of ambulant children with Duchenne muscular dystrophy: validation of multicenter study of evaluation with MR imaging and MR spectroscopy.

Authors:  Sean C Forbes; Glenn A Walter; William D Rooney; Dah-Jyuu Wang; Soren DeVos; Jim Pollaro; William Triplett; Donovan J Lott; Rebecca J Willcocks; Claudia Senesac; Michael J Daniels; Barry J Byrne; Barry Russman; Richard S Finkel; James S Meyer; H Lee Sweeney; Krista Vandenborne
Journal:  Radiology       Date:  2013-05-21       Impact factor: 11.105

7.  Sequence optimization to reduce velocity offsets in cardiovascular magnetic resonance volume flow quantification--a multi-vendor study.

Authors:  Marijn P Rolf; Mark B M Hofman; Peter D Gatehouse; Karin Markenroth-Bloch; Martijn W Heymans; Tino Ebbers; Martin J Graves; John J Totman; Beat Werner; Albert C van Rossum; Philip J Kilner; Rob M Heethaar
Journal:  J Cardiovasc Magn Reson       Date:  2011-03-09       Impact factor: 5.364

8.  A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations.

Authors: 
Journal:  Sci Rep       Date:  2017-09-11       Impact factor: 4.379

9.  Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study.

Authors:  Michael E Osadebey; Marius Pedersen; Douglas L Arnold; Katrina E Wendel-Mitoraj; For The Alzheimer's Disease Neuroimaging Initiative
Journal:  BMC Med Imaging       Date:  2018-09-17       Impact factor: 1.930

  9 in total

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