Search
BIOMED Home >> | Who We Are | Faculty | Research | Undergraduate Program | Graduate Programs | Students | Alumni  | Contact Us

Print friendly version of this event. Mail this event to a friend.

CURRENT EVENTS...

Master's Thesis Defense - Control of Isometric Hindlimb Ground Reaction Forces with Acute Epidural Spinal Cord and Cauda Equina Stimulation in the Rat

Ph.D. Thesis Defense - Plasticity of Trunk Motor Cortex as a Result of Spinal Cord Injury and Robot Rehabilitation Training

Ph.D. Thesis Defense - Wireless Intracranial Pressure Sensors for the Assessment of Traumatic Brain Injury

Seminar - Faculty and Laboratory Introduction Series: “Cellular Mechanics Laboratory

Seminar - A Systematic Approach to Analyzing Human-Automation Interaction Using Formal Task Analytic Models

Ph.D. Thesis Defense - Braided Multi-Electrode Probes (BMEPs) for Neural Interfaces


EVENTS Archive
EVENT GALLERY Archive
NEWS & EVENTS Home
BIOMED Home
Master's Thesis Defense - Detection of Cardiac Allograft Rejection Using Raman Spectroscopy
Date: April 13, 2007
Time: 2:00 PM
Location: Bossone Research Enterprise Center, Room: 702

Speaker(s):
Yoon-Gi Chung
Advisor: Chang Chang, Ph.D.

Details:
Heart transplantation is the last-resort treatment for patients with end-stage heart failure and its efficacy is limited by cardiac allograft rejection. Post-transplantation endomyocardial biopsy is the current gold standard for rejection surveillance. Severity of allograft rejection is graded histopathologically by staining the incised biopsy sample with haematoxylin & eosin (H&E). Current grading system is standardized by the International Society for Heart and Lung Transplantation (ISHLT) in 1990, with Grade-0 representing no observable rejection and Grade-4 being the most severe rejection.

The goal of this research is to ultimately replace this histopathological procedure with an optical diagnostic modality, namely Raman spectroscopy. Such optical detection method eradicates the need for tissue removal and as a result is expected to reduce the mortality and morbidity associated with tissue incision. Here we have successfully demonstrated Raman spectroscopy’s ability to distinguish between Grade-0 and Grade-2 cardiac allograft rejections based on the observed spectral differences. Multivariate statistical analysis is also used to examine our current data set and its ability to cluster large numbers of spectral data into two target groups is successfully demonstrated. We have therefore shown here a potentially clinically-feasible in vivo optical detection method for cardiac allograft rejection.

Biosketch:

Directions:
The Bossone Research Enterprise Center is located at the corner of 32nd and Market Streets.

Phone 215.895.2215 | Fax 215.895.4983 | Email biomed@drexel.edu
Copyright 2011, Drexel University, All Rights Reserved. Last Modified: 9/20/2011