TY - JOUR
T1 - Impact of imaging measurements on response assessment in glioblastoma clinical trials
AU - Reardon, David A.
AU - Ballman, Karla V.
AU - Buckner, Jan C.
AU - Chang, Susan M.
AU - Ellingson, Benjamin M.
N1 - Funding Information:
This work, summarizing discussion led by Panel 3 of the “Jumpstarting Brain Tumor Drug Development Coalition and FDA Clinical Trials Neuro-Imaging Workshop” held on January 30, 2014, was supported by general funding provided by National Brain Tumor Society, The Society for Neuro-Oncology, Accelerated Brain Cancer Cure and the Musella Foundation for Research and Information.
Publisher Copyright:
# The Author(s) 2014. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved.
PY - 2014/10/1
Y1 - 2014/10/1
N2 - We provide historical and scientific guidance on imaging response assessment for incorporation into clinical trials to stimulate effective and expedited drug development for recurrent glioblastoma by addressing 3 fundamental questions: (i) What is the current validation status of imaging response assessment, and when are we confident assessing response using today’s technology? (ii) What imaging technology and/or response assessment paradigms can be validated and implemented soon, and how will these technologies provide benefit? (iii) Which imaging technologies need extensive testing, and how can they be prospectively validated? Assessment of T1 +/2 contrast, T2/FLAIR, diffusion, and perfusion-imaging sequences are routine and provide important insight into underlying tumor activity. Nonetheless, utility of these data within and across patients, as well as across institutions, are limited by challenges in quantifying measurements accurately and lack of consistent and standardized image acquisition parameters. Currently, there exists a critical need to generate guidelines optimizing and standardizing MRI sequences for neuro-oncology patients. Additionally, more accurate differentiation of confounding factors (pseudoprogression or pseudoresponse) may be valuable. Although promising, diffusion MRI, perfusion MRI, MR spectroscopy, and amino acid PET require extensive standardization and validation. Finally, additional techniques to enhance response assessment, such as digital T1 subtraction maps, warrant further investigation.
AB - We provide historical and scientific guidance on imaging response assessment for incorporation into clinical trials to stimulate effective and expedited drug development for recurrent glioblastoma by addressing 3 fundamental questions: (i) What is the current validation status of imaging response assessment, and when are we confident assessing response using today’s technology? (ii) What imaging technology and/or response assessment paradigms can be validated and implemented soon, and how will these technologies provide benefit? (iii) Which imaging technologies need extensive testing, and how can they be prospectively validated? Assessment of T1 +/2 contrast, T2/FLAIR, diffusion, and perfusion-imaging sequences are routine and provide important insight into underlying tumor activity. Nonetheless, utility of these data within and across patients, as well as across institutions, are limited by challenges in quantifying measurements accurately and lack of consistent and standardized image acquisition parameters. Currently, there exists a critical need to generate guidelines optimizing and standardizing MRI sequences for neuro-oncology patients. Additionally, more accurate differentiation of confounding factors (pseudoprogression or pseudoresponse) may be valuable. Although promising, diffusion MRI, perfusion MRI, MR spectroscopy, and amino acid PET require extensive standardization and validation. Finally, additional techniques to enhance response assessment, such as digital T1 subtraction maps, warrant further investigation.
KW - Clinical trials
KW - Glioblastoma
KW - Imaging
KW - MRI
KW - Response assessment.
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U2 - 10.1093/neuonc/nou286
DO - 10.1093/neuonc/nou286
M3 - Article
C2 - 25313236
AN - SCOPUS:84965188509
SN - 1522-8517
VL - 16
SP - v24-vii35
JO - Neuro-oncology
JF - Neuro-oncology
ER -