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2014 ; 74
(1
): 88-98
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The comprehensive neuro-oncology data repository (CONDR): a research
infrastructure to develop and validate imaging biomarkers
#MMPMID24089052
Fouke SJ
; Benzinger TL
; Milchenko M
; LaMontagne P
; Shimony JS
; Chicoine MR
; Rich KM
; Kim AH
; Leuthardt EC
; Keogh B
; Marcus DS
Neurosurgery
2014[Jan]; 74
(1
): 88-98
PMID24089052
show ga
BACKGROUND: Advanced imaging methods have the potential to serve as quantitative
biomarkers in neuro-oncology research. However, a lack of standardization of
image acquisition, processing, and analysis limits their application in clinical
research. Standardization of these methods and an organized archival platform are
required to better validate and apply these markers in research settings and,
ultimately, in clinical practice. OBJECTIVE: The primary objective of the
Comprehensive Neuro-oncology Data Repository (CONDR) is to develop a data set for
assessing and validating advanced imaging methods in patients diagnosed with
brain tumors. As a secondary objective, informatics resources will be developed
to facilitate the integrated collection, processing, and analysis of imaging,
tissue, and clinical data in multicenter clinical trials. Finally, CONDR data and
informatics resources will be shared with the research community for further
analysis. METHODS: CONDR will enroll 200 patients diagnosed with primary brain
tumors. Clinical, imaging, and tissue-based data are obtained from patients
serially, beginning with diagnosis and continuing over the course of their
treatment. The CONDR imaging protocol includes structural and functional
sequences, including diffusion- and perfusion-weighted imaging. All data are
managed within an XNAT-based informatics platform. Imaging markers are assessed
by correlating image and spatially aligned pathological markers and a variety of
clinical markers. EXPECTED OUTCOMES: CONDR will generate data for developing and
validating imaging markers of primary brain tumors, including multispectral and
probabilistic maps. DISCUSSION: CONDR implements a novel, open-research model
that will provide the research community with both open-access data and
open-source informatics resources.