Incomplete ovariosalpingectomy and subsequent malignant granulosa cell tumor in a female green iguana (Iguana iguana)

Case Description-A 9-year-old spayed female green iguana (Iguana iguana) was evaluated because of a distended coelom and weight loss. History included a single episode of egg binding and subsequent bilateral ovariosalpingectomy.;Clinical Findings-Physical examination revealed a mass within the coelomic cavity. Ultrasonography revealed a large, irregular mass with hypoechoic regions and coelomic effusion. Clinicopathologic derangements included heterophilia, monocytosis, lymphopenia, basophilia, hypocholesterolemia, hypoproteinemia, and hypercalcemia. Results of cytologic evaluation of the mass were suggestive of malignant epithelial neoplasia, but neoplastic cells were not found in the effusion. An ovarian tumor was suspected on the basis of clinical signs, clinicopathologic findings, and results of cytologic evaluation of the mass.;Treatment and Outcome-Surgical exploration revealed a large left ovary, a normal-appearing contralateral ovary, and a mass in the fat body, all of which were removed and submitted for histologic examination. The histologic diagnosis was granulosa cell tumor with metastasis to the fat body. The patient died 11 months after evaluation, and disseminated granulosa cell tumor was confirmed at necropsy; histologic examination at that time also identified systemic mastocytosis.;Clinical Relevance-Granulosa cell tumors are uncommon in reptiles, and this was the first granulosa cell tumor described antemortem cytologically, histologically, and ultrastructurally in an iguana. Findings in this iguana underscored concerns associated with incomplete oophorectomy of iguanas; cytologic and histopathologic findings were similar to those observed in other domestic animals. Oophorectomy should be considered as an alternative to standard ovariosalpingectomy to avoid potential complications in pet reptiles, and use of microsurgical instruments and vascular clips is advised. (J Am Vet Med Assoc 2011239:237-242)

Impact of incomplete stent apposition on long-term clinical outcome after drug-eluting stent implantation

Late acquired incomplete stent apposition (ISA) is more common after drug-eluting stent (DES) than bare metal stent (BMS) implantation and has been associated with vascular hypersensitivity and stent thrombosis (ST). We investigated the impact of incidentally discovered ISA as assessed by intravascular ultrasound (IVUS) 8 months after DES implantation on the long-term clinical outcome.

A BAYESIAN SHRINKAGE MODEL FOR INCOMPLETE LONGITUDINAL BINARY DATA WITH APPLICATION TO THE BREAST CANCER PREVENTION TRIAL

We consider inference in randomized studies, in which repeatedly measured outcomes may be informatively missing due to drop out. In this setting, it is well known that full data estimands are not identified unless unverified assumptions are imposed. We assume a non-future dependence model for the drop-out mechanism and posit an exponential tilt model that links non-identifiable and identifiable distributions. This model is indexed by non-identified parameters, which are assumed to have an informative prior distribution, elicited from subject-matter experts. Under this model, full data estimands are shown to be expressed as functionals of the distribution of the observed data. To avoid the curse of dimensionality, we model the distribution of the observed data using a Bayesian shrinkage model. In a simulation study, we compare our approach to a fully parametric and a fully saturated model for the distribution of the observed data. Our methodology is motivated and applied to data from the Breast Cancer Prevention Trial.

Incomplete stent apposition and very late stent thrombosis after drug-eluting stent implantation

BACKGROUND: Stent thrombosis may occur late after drug-eluting stent (DES) implantation, and its cause remains unknown. The present study investigated differences of the stented segment between patients with and without very late stent thrombosis with the use of intravascular ultrasound. METHODS AND RESULTS: Since January 2004, patients presenting with very late stent thrombosis (> 1 year) after DES implantation underwent intravascular ultrasound. Findings in patients with very late stent thrombosis were compared with intravascular ultrasound routinely obtained 8 months after DES implantation in 144 control patients, who did not experience stent thrombosis for > or = 2 years. Very late stent thrombosis was encountered in 13 patients at a mean of 630+/-166 days after DES implantation. Compared with DES controls, patients with very late stent thrombosis had longer lesions (23.9+/-16.0 versus 13.3+/-7.9 mm; P<0.001) and stents (34.6+/-22.4 versus 18.6+/-9.5 mm; P<0.001), more stents per lesion (1.6+/-0.9 versus 1.1+/-0.4; P<0.001), and stent overlap (39% versus 8%; P<0.001). Vessel cross-sectional area was similar for the reference segment (cross-sectional area of the external elastic membrane: 18.9+/-6.9 versus 20.4+/-7.2 mm2; P=0.46) but significantly larger for the in-stent segment (28.6+/-11.9 versus 20.1+/-6.7 mm2; P=0.03) in very late stent thrombosis patients compared with DES controls. Incomplete stent apposition was more frequent (77% versus 12%; P<0.001) and maximal incomplete stent apposition area was larger (8.3+/-7.5 versus 4.0+/-3.8 mm2; P=0.03) in patients with very late stent thrombosis compared with controls. CONCLUSIONS: Incomplete stent apposition is highly prevalent in patients with very late stent thrombosis after DES implantation, suggesting a role in the pathogenesis of this adverse event.

Golden-winged Warbler habitat model validation for northern Wisconsin and central Minnesota

Between 1966 and 2003, the Golden-winged Warbler (Vermivora chrysoptera) experienced declines of 3.4% per year in large parts of the breeding range and has been identified by Partners in Flight as one of 28 land birds requiring expedient action to prevent its continued decline. It is currently being considered for listing under the Endangered Species Act. A major step in advancing our understanding of the status and habitat preferences of Golden-winged Warbler populations in the Upper Midwest was initiated by the publication of new predictive spatially explicit Golden-winged Warbler habitat models for the northern Midwest. Here, I use original data on observed Golden-winged Warbler abundances in Wisconsin and Minnesota to compare two population models: the hierarchical spatial count (HSC) model with the Habitat Suitability Index (HSI) model. I assessed how well the field data compared to the model predictions and found that within Wisconsin, the HSC model performed slightly better than the HSI model whereas both models performed relatively equally in Minnesota. For the HSC model, I found a 10% error of commission in Wisconsin and a 24.2% error of commission for Minnesota. Similarly, the HSI model has a 23% error of commission in Minnesota; in Wisconsin due to limited areas where the HSI model predicted absences, there was incomplete data and I was unable to determine the error of commission for the HSI model. These are sites where the model predicted presences and the Golden-winged Warbler did not occur. To compare predicted abundance from the two models, a 3x3 contingency table was used. I found that when overlapped, the models do not complement one another in identifying Golden-winged Warbler presences. To calculate discrepancy between the models, the error of commission shows that the HSI model has only a 6.8% chance of correctly classifying absences in the HSC model. The HSC model has only 3.3% chance of correctly classifying absences in the HSI model. These findings highlight the importance of grasses for nesting, shrubs used for cover and foraging, and trees for song perches and foraging as key habitat characteristics for breeding territory occupancy by singing males.

Public preferences of the Great Lakes Environment : a Lake Michigan pilot study

The Great Lakes watershed is home to over 40 million people, and the health of the Great Lakes ecosystem is vital to the overall economic, societal, and environmental health of the U.S. and Canada. However, environmental issues related to them are sometimes overlooked. Policymakers and the public face the challenges of balancing economic benefits with the need to conserve and/or replenish regional natural resources to ensure long term prosperity. From the literature review, nine critical stressors of ecological services were delineated, which include pollution and contamination, agricultural erosion, non-native species, degraded recreational resources, loss of wetlands habitat, climate change, risk of clean water shortage, vanishing sand dunes, and population overcrowding; this list was validated through a series of stakeholder discussions and focus groups in Grand Rapids. Focus groups were conducted in Grand Rapids to examine the awareness of, concern with, and willingness to expend resources on these stressors. Stressors that the respondents have direct contact with tend to be the most important. The focus group results show that concern related to pollution and contamination is much higher than for any of the other stressors. Low responses to climate change result in recommendations for outreach programs.

Conformational preferences of natural and C3-modified epothilones in aqueous solution

The conformational properties of the microtubule-stabilizing agent epothilone A ( 1a) and its 3-deoxy and 3-deoxy-2,3-didehydro derivatives 2 and 3 have been investigated in aqueous solution by a combination of NMR spectroscopic methods, Monte Carlo conformational searches, and NAMFIS calculations. The tubulin-bound conformation of epothilone A ( 1a), as previously proposed on the basis of solution NMR data, was found to represent a significant fraction of the ensemble of conformations present for the free ligands in aqueous solution.

DIMENSION REDUCTION FOR POWER SYSTEM MODELING USING PCA METHODS CONSIDERING INCOMPLETE DATA READINGS

Principal Component Analysis (PCA) is a popular method for dimension reduction that can be used in many fields including data compression, image processing, exploratory data analysis, etc. However, traditional PCA method has several drawbacks, since the traditional PCA method is not efficient for dealing with high dimensional data and cannot be effectively applied to compute accurate enough principal components when handling relatively large portion of missing data. In this report, we propose to use EM-PCA method for dimension reduction of power system measurement with missing data, and provide a comparative study of traditional PCA and EM-PCA methods. Our extensive experimental results show that EM-PCA method is more effective and more accurate for dimension reduction of power system measurement data than traditional PCA method when dealing with large portion of missing data set.