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Open AccessJournal ArticleDOI

Impact of imaging measurements on response assessment in glioblastoma clinical trials

TLDR
Historical and scientific guidance on imaging response assessment for incorporation into clinical trials to stimulate effective and expedited drug development for recurrent glioblastoma is provided.
Abstract
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 +/− 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.

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Journal ArticleDOI

Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials

TL;DR: The current document outlines consensus recommendations for a standardized Brain Tumor Imaging Protocol (BTIP), along with the scientific and practical justifications for these recommendations, resulting from a series of discussions between various experts involved in aspects of neuro-oncology neuroimaging for clinical trials.
Journal ArticleDOI

Response Assessment in Neuro-Oncology Clinical Trials.

TL;DR: The RANO working group was originally created to update response criteria for high- and low-grade gliomas and to address such issues as pseudoresponse and nonenhancing tumor progression from antiangiogenic therapies, and pseudoprogression from radiochemotherapy.
Journal ArticleDOI

Modified Criteria for Radiographic Response Assessment in Glioblastoma Clinical Trials.

TL;DR: Modifications to the current RANO criteria include suggestions for volumetric response evaluation, use contrast enhanced T1 subtraction maps to increase lesion conspicuity, removal of qualitative non-enhancing tumor assessment requirements and “treatment-agnostic” response assessment rubrics.
Journal ArticleDOI

Pseudoprogression of brain tumors

TL;DR: Conventional structural MRI is insufficient for distinguishing pseudoprogression from true progressive disease, and advanced imaging is needed to obtain higher levels of diagnostic certainty, and more studies to date are small, heterogeneous, and retrospective in nature.
References
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Journal ArticleDOI

Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group

TL;DR: The recognition that contrast enhancement is nonspecific and may not always be a true surrogate of tumor response and the need to account for the nonenhancing component of the tumor mandate that new criteria be developed and validated to permit accurate assessment of the efficacy of novel therapies.
Journal ArticleDOI

Response criteria for phase II studies of supratentorial malignant glioma.

TL;DR: This work suggests "new" response criteria for phase II studies of supratentorial malignant glioma and favor rigorous criteria similar to those in medical oncology, with important modifications, to minimize misinterpretations of response.
Journal ArticleDOI

Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks.

TL;DR: This work proposes nonparametric inverse probability of censoring weighting estimators of the AUC corresponding to these two definitions of the specificity, and studies their asymptotic properties.
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