5th International summit on Medical Biology & Bioengineering
Chicago, USA
Costas Balas
Technical University of Crete, Greece
Title: Dynamic spectral imaging for the diagnosis and screening of epithelial neoplasia
Biography
Biography: Costas Balas
Abstract
Dynamic imaging is progressively implemented to almost all biomedical imaging modalities including MRI, optical imaging, x-ray imaging, ultrasound imaging, etc., by developing and utilizing high-affinity magnetically, optically (fluorescent dyes) etc. labeled tracers. It relies on the imaging of the dynamic effects generated by the interaction of contrast agent (s) with organs, tissues, cells, proteins etc. The probing, modeling, parametric analysis and mapping of these dynamic signals offer a new insight into the disease state, physiology and progression. Dynamic Spectral Imaging (DSI) emerges as an advanced imaging modality, capable of probing and monitoring the uptake and washout kinetics of optical contrast agents and biomarkers. The study of the spatial-spectral-temporal characteristics of the generated dynamic optical signals in relation with the underlying disease type and grade would comprise the basis for development of a series of novel, non-invasive, real-time diagnostic methods and technologies. The DSI concept implemented for detecting cervical neoplasia, in vivo, underwent validation in large clinical trials, which demonstrated a remarkable improvement (85%) in diagnostic accuracy, over traditional methods. Recent developments involve the compartmental modeling of epithelial transport phenomena, combined with system’s biology methods. This innovative approach enabled the estimation of microscopic, neoplasia-related features from macroscopic optical characteristics measured in vivo. The method’s output is the mapping of model parameters directly correlated with cell packing, functionality of cell junctions and extracellular pH. This valuable information is available in office-based, noninvasive and non-ionizing examinations. By exploiting its unique characteristics, DSI would comprise a new platform for early detection and for personalizing/evaluating treatment strategies.