Viewing Study NCT02329795


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Study NCT ID: NCT02329795
Status: TERMINATED
Last Update Posted: 2017-10-12
First Post: 2014-12-16
Is NOT Gene Therapy: True
Has Adverse Events: False

Brief Title: Image-derived Prediction of Response to Chemo-radiation in Glioblastoma
Sponsor: Rigshospitalet, Denmark
Organization:

Study Overview

Official Title: Image-derived Prediction of Response to Chemo-radiation in Patients With Glioblastoma
Status: TERMINATED
Status Verified Date: 2017-10
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Slow accrual
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: IDEPREG
Brief Summary: This study seeks to investigate if advanced image-analysis of diagnostic scans, can be used to predict how aggressive brain tumors (glioblastoma) respond to standard chemo- and radiation treatment.
Detailed Description: Generally, response prediction models seeks to predict time to an event, e.g. time-to-progression and/or overall survival. The aim of this study is to explore the feasibility of establishing an individualized response model, that, based on several morphologic, physiologic and metabolic parameters extracted from computed tomography (CT), positron emission tomography (PET) and magnetic resonance imaging (MRI), is able to predict the tumor response at the level of an imaging voxel, using machine learning techniques.

Imaging modalities include MRI, PET/CT with 18F-fluroethyltyrosine (18F-FET), and PET/MRI with 64Cu-diacetyl-bis(N4-methylthiosemicarbazone) (64Cu-ATSM).

Study Oversight

Has Oversight DMC: True
Is a FDA Regulated Drug?: None
Is a FDA Regulated Device?: None
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: