In-vivo diffusion tensor imaging of rat spinal cord with a phased array coil at 7T

Magnetic resonance imaging (MRI) is a non-invasive technique that offers excellent soft tissue contrast for characterizing soft tissue pathologies. Diffusion tensor imaging (DTI) is an MRI technique that has shown to have the sensitivity to detect subtle pathology that is not evident on conventional MRI. ^ Rats are commonly used as animal models in characterizing the spinal cord pathologies including spinal cord injury (SCI), cancer, multiple sclerosis, etc. These pathologies could affect both thoracic and cervical regions and complete characterization of these pathologies using MRI requires DTI characterization in both the thoracic and cervical regions. Prior to the application of DTI for investigating the pathologic changes in the spinal cord, it is essential to establish DTI metrics in normal animals. ^ To date, in-vivo DTI studies of rat spinal cord have used implantable coils for high signal-to-noise ratio (SNR) and spin-echo pulse sequences for reduced geometric distortions. Implantable coils have several disadvantages including: (1) the invasive nature of implantation, (2) loss of SNR due to frequency shift with time in the longitudinal studies, and (3) difficulty in imaging the cervical region. While echo planar imaging (EPI) offers much shorter acquisition times compared to spin-echo imaging, EPI is very sensitive to static magnetic field inhomogeneities and the existing shimming techniques implemented on the MRI scanner do not perform well on spinal cord because of its geometry. ^ In this work, an integrated approach has been implemented for in-vivo DTI characterization of rat spinal cord in the thoracic and cervical regions. A three element phased array coil was developed for improved SNR and extended spatial coverage. A field-map shimming technique was developed for minimizing the geometric distortions in EPI images. Using these techniques, EPI based DWI images were acquired with optimized diffusion encoding scheme from 6 normal rats and the DTI-derived metrics were quantified. ^ The phantom studies indicated higher SNR and smaller bias in the estimated DTI metrics than the previous studies in the cervical region. In-vivo results indicated no statistical difference in the DTI characteristics of either gray matter or white matter between the thoracic and cervical regions. ^

A multivariate frailty model for disease recurrences and survival

A multivariate frailty hazard model is developed for joint-modeling of three correlated time-to-event outcomes: (1) local recurrence, (2) distant recurrence, and (3) overall survival. The term frailty is introduced to model population heterogeneity. The dependence is modeled by conditioning on a shared frailty that is included in the three hazard functions. Independent variables can be included in the model as covariates. The Markov chain Monte Carlo methods are used to estimate the posterior distributions of model parameters. The algorithm used in present application is the hybrid Metropolis-Hastings algorithm, which simultaneously updates all parameters with evaluations of gradient of log posterior density. The performance of this approach is examined based on simulation studies using Exponential and Weibull distributions. We apply the proposed methods to a study of patients with soft tissue sarcoma, which motivated this research. Our results indicate that patients with chemotherapy had better overall survival with hazard ratio of 0.242 (95% CI: 0.094 - 0.564) and lower risk of distant recurrence with hazard ratio of 0.636 (95% CI: 0.487 - 0.860), but not significantly better in local recurrence with hazard ratio of 0.799 (95% CI: 0.575 - 1.054). The advantages and limitations of the proposed models, and future research directions are discussed. ^

Epidemiology of tuberculosis and nontuberculous mycobacterial infections in Houston children

Background. Nontuberculous mycobacteria (NTM) are environmentally ubiquitous organisms whose epidemiology is poorly understood. Species differ with respect to disease presentation, prognosis, and antimicrobial susceptibility. We reviewed one Texas pediatric hospital's experience with NTM and tuberculosis (TB) disease.^ Methods. This was a retrospective case series of children with culture-confirmed mycobacterial infections seen at a children's hospital from 2003-2008.^ Results. One hundred sixty-two isolates were identified from 150 children; 132 (81.5%) had NTM species isolated, and 30 (18.5%) had M. tuberculosis isolated; 2 children had both NTM and M. tuberculosis isolated. The most common species were Mycobacterium avium complex (MAC) (29%), M. tuberculosis (18.5%), M. abscessus (13%), M. fortuitum (11.7%), and M. chelonae-abscessus (9.9%). TB was the most common organism isolated from respiratory specimens. MAC and M. simiae were significantly more likely to be associated with lymphadenopathy than other NTM species (p < 0.001). Mycobacterium fortuitum was significantly more likely to be associated with soft tissue infections than other NTM species (p < 0.001). Seventy-five children met criteria for NTM disease (30 lymphadenopathy, 17 pulmonary, 17 soft tissue infections, 11 bacteremia). Children with NTM lymphadenopathy were more likely to be Hispanic (OR 24, CI 2.8-1063), younger (3.3 years vs. 10.6 years, p < 0.001), and previously healthy (OR 0.004, CI 0-0.06) than children with NTM pulmonary disease. Children with NTM disease were less likely to be previously healthy (OR 0.30, 95% CI 0.09-0.88) and foreign-born (OR 0.09, CI 0.03-0.29) than children with TB.^ Conclusions. Children with NTM lymphadenopathy were younger and more likely to be healthy than children with NTM pulmonary disease. Tuberculosis comprised a large proportion of mycobacterial disease in this series. Children with NTM pulmonary disease were less likely to be previously healthy and born abroad when compared to children with TB. There was wide variation in antimicrobial susceptibility patterns among NTM species. This, together with the large percentage of disease caused by TB, emphasizes the importance of securing a specific microbiologic diagnosis in children with pulmonary or lymph node disease caused by mycobacteria.^