Quantitative MR in Multi-center Clinical Trials

被引:14
|
作者
Ashton, Edward [1 ]
机构
[1] VirtualScopics Inc, Rochester, NY 14625 USA
关键词
clinical trials; protocol design; protocol harmonization; MRI; REMITTING MULTIPLE-SCLEROSIS; GADOLINIUM-ENHANCED MRI; PHASE-I; RHEUMATOID-ARTHRITIS; ARTICULAR-CARTILAGE; SOLID TUMORS; KNEE OSTEOARTHRITIS; RADIOLOGIC CHANGES; DRUG DEVELOPMENT; BRAIN-TUMORS;
D O I
10.1002/jmri.22022
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:279 / 288
页数:10
相关论文
共 50 条
  • [31] DSMRI: Domain Shift Analyzer for Multi-Center MRI Datasets
    Kushol, Rafsanjany
    Wilman, Alan H.
    Kalra, Sanjay
    Yang, Yee-Hong
    DIAGNOSTICS, 2023, 13 (18)
  • [32] Multi-center comparative evaluation of subgingivally delivered sanguinarine and doxycycline in the treatment of periodontitis .2. Clinical results
    Polson, AM
    Garrett, S
    Stoller, NH
    Bandt, CL
    Hanes, PJ
    Killoy, WJ
    Southard, GL
    Duke, SP
    Bogle, GC
    Drisko, CH
    Friesen, LR
    JOURNAL OF PERIODONTOLOGY, 1997, 68 (02) : 119 - 126
  • [33] Dry needling and upper cervical spinal manipulation in patients with temporomandibular disorder: A multi-center randomized clinical trial
    Dunning, James
    Butts, Raymond
    Bliton, Paul
    Vathrakokoilis, Konstantinos
    Smith, Grant
    Lineberger, Chelsea
    Eshleman, Noah
    Fernandez-de-Las-Penas, Cesar
    Young, Ian A.
    CRANIO-THE JOURNAL OF CRANIOMANDIBULAR & SLEEP PRACTICE, 2024, 42 (06): : 809 - 822
  • [34] Standardized data collection for multi-center clinical studies of severe malaria in African children: establishing the SMAC network
    Taylor, Terrie
    Olola, Christopher
    Valim, Clarissa
    Agbenyega, Tsiri
    Kremsner, Peter
    Krishna, Sanjeev
    Kwiatkowski, Dominic
    Newton, Charles
    Missinou, Michel
    Pinder, Margaret
    Wypij, David
    TRANSACTIONS OF THE ROYAL SOCIETY OF TROPICAL MEDICINE AND HYGIENE, 2006, 100 (07) : 615 - 622
  • [35] Initial experience in implementing quantitative DCE-MRI to predict breast cancer therapy response in a multi-center and multi-vendor platform setting
    Moloney, Brendan
    Li, Xin
    Hirano, Michael
    Eddin, Assim Saad
    Lim, Jeong Youn
    Biswas, Debosmita
    Kazerouni, Anum S.
    Tudorica, Alina
    Li, Isabella
    Bryant, Mary Lynn
    Wille, Courtney
    Pyle, Chelsea
    Rahbar, Habib
    Hsieh, Su Kim
    Rice-Stitt, Travis L.
    Dintzis, Suzanne M.
    Bashir, Amani
    Hobbs, Evthokia
    Zimmer, Alexandra
    Specht, Jennifer M.
    Phadke, Sneha
    Fleege, Nicole
    Holmes, James H.
    Partridge, Savannah C.
    Huang, Wei
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [36] Feasibility and Variability of Measuring the Lung Clearance Index in a Multi-Center Setting
    Fuchs, Susanne I.
    Ellemunter, Helmut
    Eder, Johannes
    Mellies, Uwe
    Grosse-Onnebrink, Joerg
    Tuemmler, Burkhard
    Staab, Doris
    Jobst, Andrea
    Griese, Matthias
    Ripper, Jan
    Rietschel, Ernst
    Zeidler, Susanne
    Ahrens, Frank
    Gappa, Monika
    PEDIATRIC PULMONOLOGY, 2012, 47 (07) : 649 - 657
  • [37] Emerging quantitative MR imaging biomarkers in inflammatory arthritides
    Barendregt, Anouk M.
    Bray, Timothy J. P.
    Hall-Craggs, Margaret A.
    Maas, Mario
    EUROPEAN JOURNAL OF RADIOLOGY, 2019, 121
  • [38] Reproducibility of Structural and Diffusion Tensor Imaging in the TACERN Multi-Center Study
    Prohl, Anna K.
    Scherrer, Benoit
    Tomas-Fernandez, Xavier
    Filip-Dhima, Rajna
    Kapur, Kush
    Velasco-Annis, Clemente
    Clancy, Sean
    Carmody, Erin
    Dean, Meghan
    Valle, Molly
    Prabhu, Sanjay P.
    Peters, Jurriaan M.
    Bebin, E. Martina
    Krueger, Darcy A.
    Northrup, Hope
    Wu, Joyce Y.
    Sahin, Mustafa
    Warfield, Simon K.
    FRONTIERS IN INTEGRATIVE NEUROSCIENCE, 2019, 13
  • [39] Development and validation of a perivascular space segmentation method in multi-center datasets
    Huang, Peiyu
    Liu, Lingyun
    Zhang, Yao
    Zhong, Siyan
    Liu, Peng
    Hong, Hui
    Wang, Shuyue
    Xie, Linyun
    Lin, Miao
    Jiaerken, Yeerfan
    Luo, Xiao
    Li, Kaicheng
    Zeng, Qingze
    Cui, Lei
    Li, Jixuan
    Chen, Yanxing
    Zhang, Ruiting
    NEUROIMAGE, 2024, 298
  • [40] Open source software for multi-center image management: ImTK consortium
    Mun, Seong K.
    Ingeholm, Mary Lou
    Cleary, Kevin
    Prior, Fred
    Channin, David
    Ratib, Osman
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2007, 2 : S429 - S431