NEW TOOLS FOR MONITORING GAMMA CAMERA UNIFORMITY

Detector uniformity is a fundamental performance characteristic of all modern gamma camera systems, and ensuring a stable, uniform detector response is critical for maintaining clinical images that are free of artifact. For these reasons, the assessment of detector uniformity is one of the most common activities associated with a successful clinical quality assurance program in gamma camera imaging. The evaluation of this parameter, however, is often unclear because it is highly dependent upon acquisition conditions, reviewer expertise, and the application of somewhat arbitrary limits that do not characterize the spatial location of the non-uniformities. Furthermore, as the goal of any robust quality control program is the determination of significant deviations from standard or baseline conditions, clinicians and vendors often neglect the temporal nature of detector degradation (1). This thesis describes the development and testing of new methods for monitoring detector uniformity. These techniques provide more quantitative, sensitive, and specific feedback to the reviewer so that he or she may be better equipped to identify performance degradation prior to its manifestation in clinical images. The methods exploit the temporal nature of detector degradation and spatially segment distinct regions-of-non-uniformity using multi-resolution decomposition. These techniques were tested on synthetic phantom data using different degradation functions, as well as on experimentally acquired time series floods with induced, progressively worsening defects present within the field-of-view. The sensitivity of conventional, global figures-of-merit for detecting changes in uniformity was evaluated and compared to these new image-space techniques. The image-space algorithms provide a reproducible means of detecting regions-of-non-uniformity prior to any single flood image’s having a NEMA uniformity value in excess of 5%. The sensitivity of these image-space algorithms was found to depend on the size and magnitude of the non-uniformities, as well as on the nature of the cause of the non-uniform region. A trend analysis of the conventional figures-of-merit demonstrated their sensitivity to shifts in detector uniformity. The image-space algorithms are computationally efficient. Therefore, the image-space algorithms should be used concomitantly with the trending of the global figures-of-merit in order to provide the reviewer with a richer assessment of gamma camera detector uniformity characteristics.

Transcriptional regulation of the {\it neu\/} oncogene and its negative regulation by the c-{\it myc\/} oncogene

The first part of my research involved the characterization of the neu gene promoter. I subcloned a 2.2-kb sequence located upstream to the extreme 5$\sp\prime$ end of the neu gene, in front of the bacterial reporter gene, chloramphenicol acetyltransferase (CAT). Transfection of this construct into different cell lines and subsequent CAT assays demonstrated that this 2.2-kb fragment was functional as a promoter. A series of deletion constructs was engineered to study the contribution of different fragments to transcription. Subcloning of individual fragments was followed by a cotransfection competition experiment, which demonstrated the involvement of protein factors interacting with the promoter. A gel retardation assay was also performed to show the physical binding of protein factors to the promoter. The combined results suggested that both positively and negatively acting protein factors are involved in interacting with different regions of the promoter, contributing to the overall transcription activity. My findings provide an insight into the regulation of neu gene expression, which in turn provides the tools to understand the molecular mechanisms of overexpression of the neu gene in some breast cancer and ovarian cancer cell lines.^ In the second part of my research, I discovered that another oncogene, c-myc, was able to reverse the transformed morphology that was induced by the neu oncogene. Utilizing the promoter constructs that I made, I was able to show that the c-myc oncogene has a negative regulatory effect on the expression of the neu oncogene. Further studies suggested that c-myc is able to lower the effective concentration of a positive factor(s) that interact with a 139-bp fragment of the neu gene promoter. These findings may provide a direct evidence of the long suspected role of the c-myc gene in transcriptional regulation. The neu gene may very well be the first identified mammalian target gene that is regulated by the c-myc oncogene. Since c-myc is known to be stimulated by various mitogenic signals and the neu gene is likely to be a growth factor receptor, it is possible that c-myc, when stimulated by the signal transduction pathway of the neu gene, would function as a negative feedback regulator on the neu gene receptor. (Abstract shortened with permission of author.) ^