|
Activity Number:
|
460
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Biometrics Section
|
| Abstract - #305180 |
|
Title:
|
Can Apparent Diffusion Coefficient Be a Predictive Biomarker in Glioblastoma Multiforme Patients?
|
|
Author(s):
|
Hyun (Grace) J. Kim*+
|
|
Companies:
|
University of California, Los Angeles
|
|
Address:
|
924 Westwood Blvd ste 650, Los Angeles, CA, 90024,
|
|
Keywords:
|
biomarker ; imaging ; MRI ; oncology ; mixture ; survival
|
|
Abstract:
|
The drug development and evaluation of oncology requires efficient strategies to predict the patient population who will benefit from treatment. As an example, Glioblastoma Multiforme (GBM) will be used in this paper. GBM is a grade IV glioma tumor, and are the most aggressive and lethal primary brain cancer. Not all patients have responded to the standard therapy. Considering the short life expectancy for patients with GBM, it is critically important to predict which patients will benefit from the treatment. Apparent diffusion coefficient (ADC) from Magnetic Resonance Imaging (MRI) shows the cellularity or cystic regions of GBM. We proposed new quantitative imaging "biomarker," which is derived from estimated mixture of Gaussian distribution from ADC histogram. The "biomarker" identifies the beneficial GBM population to the standard therapy, which then applied to the control group.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2009 program |
