Fecal coliform contamination in child day care environments in Houston, Texas

Outbreaks of diarrhea are common among children in day care centers (DCC). Enteropathogens associated with these outbreaks are spread by the fecal-oral route through contaminated hands or environmental objects. This prospective study was undertaken to determine the prevalence of fecal coliform (FC) contamination in the DCC environment. Ten rooms in 6 DCC housing 121 children $<$2 years of age were studied for 13 weeks. Inanimate objects (1275), toy balls (724), and hands (954) were cultured 1-3 times per week. FC contamination was common during each week of study and was significantly (p $<$ 0.05) greater for objects, toy balls, and hands of children in toddler compared to infant rooms. In 5 rooms in which clothes were worn over diapers, there was a significantly lower prevalence of FC of toy balls (p $<$ 0.005), inanimate objects (p $<$ 0.05), and hands of children (p $<$ 0.001) and caregivers (p $<$ 0.05) when compared to rooms in which overclothes were not worn. Occurrence of diarrhea was significantly associated with increased contamination of caregivers' and children's hands. Using plasmid analysis of trimethoprim (TMP)-resistant Escherichia coli, stool and environmental isolates from individual DCC rooms had the same plasmid patterns, which were unique to each center. In summary, FC of environmental isolates and hands of children and caregivers in DCC is common; toy balls can serve as sentinels of contamination; FC can be significantly decreased by use of clothes worn over diapers; and plasmid analysis of E. coli strains showed the same patterns from stool and environmental isolates. ^

Improved Techniques for Acquisition and Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Detecting Vascular Permeability in the Central Nervous System

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a noninvasive technique for quantitative assessment of the integrity of blood-brain barrier and blood-spinal cord barrier (BSCB) in the presence of central nervous system pathologies. However, the results of DCE-MRI show substantial variability. The high variability can be caused by a number of factors including inaccurate T1 estimation, insufficient temporal resolution and poor contrast-to-noise ratio. My thesis work is to develop improved methods to reduce the variability of DCE-MRI results. To obtain fast and accurate T1 map, the Look-Locker acquisition technique was implemented with a novel and truly centric k-space segmentation scheme. In addition, an original multi-step curve fitting procedure was developed to increase the accuracy of T1 estimation. A view sharing acquisition method was implemented to increase temporal resolution, and a novel normalization method was introduced to reduce image artifacts. Finally, a new clustering algorithm was developed to reduce apparent noise in the DCE-MRI data. The performance of these proposed methods was verified by simulations and phantom studies. As part of this work, the proposed techniques were applied to an in vivo DCE-MRI study of experimental spinal cord injury (SCI). These methods have shown robust results and allow quantitative assessment of regions with very low vascular permeability. In conclusion, applications of the improved DCE-MRI acquisition and analysis methods developed in this thesis work can improve the accuracy of the DCE-MRI results.