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
  • [1] ORGANIZATION OF MULTI-CENTER CLINICAL-TRIALS
    MEINERT, CL
    [J]. CONTROLLED CLINICAL TRIALS, 1981, 1 (04): : 305 - 312
  • [2] MANAGEMENT OF A COORDINATING CENTER FOR MULTI-CENTER CLINICAL-TRIALS
    CHAN, YK
    COLLINS, D
    [J]. CONTROLLED CLINICAL TRIALS, 1981, 2 (01): : 88 - 88
  • [3] Update on multi-center clinical trials in the United States
    Afenyi-Annan, Araba
    Brecher, Mark E.
    Bandarenko, Nicholas
    [J]. TRANSFUSION AND APHERESIS SCIENCE, 2007, 36 (01) : 5 - 12
  • [4] Interim recruitment prediction for multi-center clinical trials
    Urbas, Szymon
    Sherlock, Chris
    Metcalfe, Paul
    [J]. BIOSTATISTICS, 2022, 23 (02) : 485 - 506
  • [5] Workflow of quality control in multi-center clinical trials
    Zhang, Jun
    O'Dell, Craig
    Teetor, Trevor
    Hall, Nathan
    Sammet, Steffen
    Jacko, Richard
    Koppen, Milan
    Novak, Melanie
    von Tengg-Kobligk, Hendrik
    Knopp, Michael
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2009, 50
  • [6] MULTI-CENTER CLINICAL TRIALS: RANDOMIZATION AND ANCILLARY STATISTICS
    Zheng, Lu
    Zelen, Marvin
    [J]. ANNALS OF APPLIED STATISTICS, 2008, 2 (02): : 582 - 600
  • [7] STATISTICAL CENTER DATA MANAGEMENT IN MULTI-CENTER CLINICAL-TRIALS
    ORLOW, EL
    MCFADDEN, E
    [J]. CONTROLLED CLINICAL TRIALS, 1981, 2 (01): : 88 - 88
  • [8] Framework for a virtual center to support multi-center clinical trials in cardiology
    Jacob, S
    Singh, R
    Mathew, M
    Khandheria, BK
    [J]. COMPUTERS IN CARDIOLOGY 2000, VOL 27, 2000, 27 : 583 - 586
  • [9] Sequential patient recruitment monitoring in multi-center clinical trials
    Kim, Dong-Yun
    Han, Sung-Min
    Youngblood, Marston, Jr.
    [J]. COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, 2018, 25 (05) : 501 - 512
  • [10] Multi-center clinical trials with random enrollment: Theoretical approximations
    Fedorov, V
    Jones, B
    Jones, CM
    Zhigljavsky, A
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2005, 34 (04) : 955 - 985