Mcmillanespinoza6338

INTRODUCTION Monte Carlo (MC) simulations are a powerful tool for improving image quality in X-ray based imaging modalities. An accurate X-ray source model is essential to MC modeling for CBCT but can be difficult to implement on a GPU while maintaining efficiency and memory limitations. A statistical analysis of the photon distribution from a MC X-ray tube simulation is conducted in hopes of building a compact source model. MATERIALS & METHODS MC simulations of an X-ray tube were carried out using BEAMnrc. The resulting photons were sorted into four categories primary, scatter, off-focal radiation (OFR), and both (scatter and OFR). A statistical analysis of the photon components (energy, position, direction) was completed. A novel method for a compact (memory efficient) representation of the PHSP data was implemented and tested using different statistical based linear transformations (PCA, ZCA, ICA), as well as a geometrical transformation. RESULTS The statistical analysis showed all photon groupings had strong correlations between position and direction, with the largest correlation in the primary data. selleck The novel method was successful in compactly representing the primary (error  less then  2%) and scatter (error  less then  6%) photon groupings by reducing the component correlations. DISCUSSION & CONCLUSION Statistical linear transforms provide a method of reducing the memory required to accurately simulate an X-ray source in a GPU MC system. If all photon types are required, the proposed method reduces the memory requirements by 3.8 times. When only primary and scatter data is needed, the memory requirement is reduced from gigabytes to kilobytes. INTRODUCTION Ovarian malignant lymphoma is a rare gynecologic disease and some patients show marked ascites, similar to that observed in advanced ovarian cancer. Although radical surgery improves prognosis of ovarian cancer, treatment of lymphoma is based on chemotherapy, therefore, differential diagnosis is crucial. PRESENTATION OF CASE A 65-year-old woman presented with a 1-month history of abdominal distention. Pelvic ultrasonography showed an 11-cm solid mass in the pelvis. Computed tomography and magnetic resonance imaging revealed bilateral (mainly left) ovarian masses in the pelvis and multiple metastases. Laboratory examination revealed that serum CA125 levels were elevated, suggesting the existence of advanced ovarian cancer. To confirm the diagnosis, the ascites was removed via abdominocentesis. Although no malignant epithelial cells were observed, atypical lymphoid cells dispersed in the ascites were detected in the cytological analyses. Thus, for accurate diagnosis, we performed re-abdominocentesis and immunohistochemical (IHC) analysis using cell block technique. Cell block analysis showed negative staining for CD3 and positive staining for CD20 in large atypical lymphoid cells, suggesting the existence of large B-cell lymphoma. Repeat blood examination showed that the serum sIL-2R level was elevated. We decided to perform biopsy to make the final treatment decision. Histologically, the tumor demonstrated diffuse proliferation of large atypical lymphoid cells. IHC analysis showed CD3(-), CD5(+), and CD20(+). In addition, IHC analysis also showed CD79a(+), CD10(-), bcl-2(+), and cyclin D1(-). The final diagnosis was diffuse large B-cell lymphoma. DISCUSSION AND CONCLUSION Here, we present the case of a patient with ovarian malignant lymphoma that was diagnosed using cell block analysis. OBJECTIVE Bombesin-like receptor 3 (BRS3) is an orphan receptor and Brs3 knockout mice develop obesity with increased food intake and reduced resting metabolic rate and body temperature. The neuronal populations contributing to these effects were examined. METHODS We studied energy metabolism in mice with Cre-mediated recombination causing 1) loss of BRS3 selectively in SIM1- or MC4R-expressing neurons or 2) selective re-expression of BRS3 from a null background in these neurons. RESULTS The deletion of BRS3 in MC4R neurons increased body weight/adiposity, metabolic efficiency, and food intake, and reduced insulin sensitivity. BRS3 re-expression in these neurons caused partial or no reversal of these traits. However, these observations were confounded by an obesity phenotype caused by the Mc4r-Cre allele, independent of its recombinase activity. The deletion of BRS3 in SIM1 neurons increased body weight/adiposity and food intake, but not to the levels of the global null. The re-expression of BRS3 in SIM1 neurons reduced body weight/adiposity and food intake, but not to wild type levels. The deletion of BRS3 in either MC4R- or SIM1-expressing neurons affected body temperature, with re-expression in either population reversing the null phenotype. MK-5046, a BRS3 agonist, increases light phase body temperature in wild type, but not Brs3 null, mice and BRS3 re-expression in either population restored response to MK-5046. CONCLUSIONS BRS3 in both MC4R- and SIM1-expressing neurons contributes to regulation of body weight/adiposity, insulin sensitivity, food intake, and body temperature. Published by Elsevier GmbH.OBJECTIVE/BACKGROUND Sleep disturbances are very common and associated with severe complications in patients admitted to intensive care units (ICU). Commonly, sedatives like propofol or benzodiazepines have been demonstrated to increase sleep duration but worsen sleep architecture. Dexmedetomidine seems to positively affect both sleep aspects. PATIENTS/METHODS The present study aimed to investigate sleep characteristics in non-intubated patients admitted to intensive care unit. The subgroups consisted of those without sedation (NO-DEX), and those which received dexmedetomidine infusion (DEX), titrated to a Richmond Agitation-Sedation Scale target of -1/-2, were also explored. An auto-staged electroencephalographer was used to measure sleep duration and architecture. The Richard-Campbell-Sleep questionnaire was administered to all patients. RESULTS A multivariate analysis conducted in the overall population showed that dexmedetomidine infusion was the only variable independently associated with N2 increase (p  less then  0.