Histološka i imunohistokemijska svojstva metastatskog karcinosarkoma mliječne žlijezde u kuje - prikaz slučaja

A carcinosarcoma is a tumor composed of cells morphologically resembling both malignant epithelial and mesenchymal components. An 11-year-old, female, mixed-breed terrier was referred to the clinic with complaints of anorexia, vomiting and exercise intolerance. Clinically, tumoral masses were seen in the mammary glands. During necropsy, multilobulated calcified masses were observed in several visceral organs (the liver, kidneys, lungs, small intestines, lymph nodes and thyroid) and both right and left (3rd and 4th) mammary glands. Immunohistochemically, Thyroglobulin, SMA, TTF-1, S100, CD34, and p53 were negative in both epithelial and mesenchymal areas, however, Ki-67 showed high proliferation, especially in the mesenchymal areas. While the positivity of vimentin expression was high in the mesenchymal component of the tumor, the positivity of cytokeratin (CK7 and CK19) expressions was high in the epithelial component of the tumor. In the case of a carcinosarcoma, there is a probability that not only the carcinomatous part, but also the sarcomatous part will metastasize. Despite being uncommon, canine carcinosarcomas should always be considered in the differential diagnosis of mixed mammary tumors, if they include both components. There have not been many previous studies dealing with the metastasis of a mammary carcinosarcoma in dogs as an aggressive tumor. Therefore, we consider this report a worthy contribution and have defined the multiple organ metastasis of a mammary carcinosarcoma.Karcinosarkom je tumor sastavljen od stanica koje morfološki nalikuju i na maligne epitelne i na mezenhimne komponente. Ženka stara 11 godina, mješanka u tipu terijera, primljena je na pregled zbog anoreksije, povraćanja i nepodnošenja tjelesnog napora. Klinički, uočena je tumorska masa u mliječnim žlijezdama. Pri obdukciji su uočene multilobulirane kalcificirane tvrobe u nekoliko visceralnih organa (jetra, bubreg, pluća, tanko crijevo, limfni čvorovi, štitnjača) te u desnoj i lijevoj (trećoj i četvrtoj) mliječnoj žlijezdi. Imunohistokemijski su tireoglobulin, SMA, TTF-1, S100, CD34 i p53 bili negativni i u epitelnim i mezenhimnim tkivima, međutim Ki-67 pokazao je visoku proliferaciju, osobito u mezenhimnom području. Dok je pozitivnost ekspresije vimentina bila visoka u mezenhimnoj komponenti tumora, pozitivnost ekspresije citokeratina (CK7 i CK19) bila je visoka u epitelnoj komponenti tumora. U slučaju karcinosarkoma moguće je da ne metastaziraju samo karcinomatozni dijelovi nego također i sarkomatozni. Premda je neuobičajen, pseći karcinosarkom trebalo bi uzeti u obzir kao diferencijalnu dijagnozu kod miješanih tumora mliječne žlijezde, ako sadržavaju obje komponente. U dosadašnjim istraživanjima nema mnogo radova o metastazama karcinosarkoma mliječne žlijezde kuja, posebno u slučajevima gdje je to agresivan tumor. Stoga smatramo da je ovaj prikaz slučaja vrijedan doprinos kojim su utvrđene višestruke metastaze karcinosarkoma mliječne žlijezde na različitim organima

Hybrid of swarm intelligent algorithms in medical applications

In this paper, we designed a hybrid of swarm intelligence algorithms to diagnose hepatitis, breast tissue, and dermatology conditions in patients with such infection. The effectiveness of hybrid swarm intelligent algorithms was studied since no single algorithm is effective in solving all types of problems. In this study, feed forward and Elman recurrent neural network (ERN) with swarm intelligent algorithms is used for the classification of the mentioned diseases. The capabilities of six (6) global optimization learning algorithms were studied and their performances in training as well as testing were compared. These algorithms include: hybrid of Cuckoo Search algorithm and Levenberg-Marquardt (LM) (CSLM), Cuckoo Search algorithm (CS) and backpropagation (BP) (CSBP), CS and ERN (CSERN), Artificial Bee Colony (ABC) and LM (ABCLM), ABC and BP (ABCBP), Genetic Algorithm (GA) and BP (GANN). Simulation comparative results indicated that the classification accuracy and run time of the CSLM outperform the CSERN, GANN, ABCBP, ABCLM, and CSBP in the breast tissue dataset. On the other hand, the CSERN performs better than the CSLM, GANN, ABCBP, ABCLM, and CSBP in both th

Probability of local bifurcation type from a fixed point: A random matrix perspective

Results regarding probable bifurcations from fixed points are presented in the context of general dynamical systems (real, random matrices), time-delay dynamical systems (companion matrices), and a set of mappings known for their properties as universal approximators (neural networks). The eigenvalue spectra is considered both numerically and analytically using previous work of Edelman et. al. Based upon the numerical evidence, various conjectures are presented. The conclusion is that in many circumstances, most bifurcations from fixed points of large dynamical systems will be due to complex eigenvalues. Nevertheless, surprising situations are presented for which the aforementioned conclusion is not general, e.g. real random matrices with Gaussian elements with a large positive mean and finite variance.Comment: 21 pages, 19 figure

Secondary Outcomes of a Pilot Randomized Trial of Azithromycin Treatment for Asthma

OBJECTIVES: The respiratory pathogen Chlamydia pneumoniae (C. pneumoniae) produces acute and chronic lung infections and is associated with asthma. Evidence for effectiveness of antichlamydial antibiotics in asthma is limited. The primary objective of this pilot study was to investigate the feasibility of performing an asthma clinical trial in practice settings where most asthma is encountered and managed. The secondary objectives were to investigate (1) whether azithromycin treatment would affect any asthma outcomes and (2) whether C. pneumoniae serology would be related to outcomes. This report presents the secondary results. DESIGN: Randomized, placebo-controlled, blinded (participants, physicians, study personnel, data analysts), allocation-concealed parallel group clinical trial. SETTING: Community-based health-care settings located in four states and one Canadian province. PARTICIPANTS: Adults with stable, persistent asthma. INTERVENTIONS: Azithromycin (six weekly doses) or identical matching placebo, plus usual community care. OUTCOME MEASURES: Juniper Asthma Quality of Life Questionnaire (Juniper AQLQ), symptom, and medication changes from baseline (pretreatment) to 3 mo posttreatment (follow-up); C. pneumoniae IgG and IgA antibodies at baseline and follow-up. RESULTS: Juniper AQLQ improved by 0.25 (95% confidence interval; −0.3, 0.8) units, overall asthma symptoms improved by 0.68 (0.1, 1.3) units, and rescue inhaler use decreased by 0.59 (−0.5, 1.6) daily administrations in azithromycin-treated compared to placebo-treated participants. Baseline IgA antibodies were positively associated with worsening overall asthma symptoms at follow-up (p = 0.04), but IgG was not (p = 0.63). Overall asthma symptom improvement attributable to azithromycin was 28% in high IgA participants versus 12% in low IgA participants (p for interaction = 0.27). CONCLUSIONS: Azithromycin did not improve Juniper AQLQ but appeared to improve overall asthma symptoms. Larger community-based trials of antichlamydial antibiotics for asthma are warranted

Components of the Profitability of Technical Currency Trading

This paper investigates the sources of the profitability of 1024 moving average and momentum models when trading in the German mark (euro)/U.S. dollar market based on daily data. The main results are as follows. First, each of these models would have been profitable over the entire sample period. Second, this profitability is exclusively due to the exploitation of persistent exchange rate trends. Third, these results do not change substantially when trading is examined within subperiods. Fourth, the 25 best performing models in each in-sample period examined were profitable also out of sample in most cases. Fifth, the profitability of technical trading the German mark (euro)/U. S. dollar exchange rate has been significantly lower since the late 1980s as compared to the first 15 years of the floating rate period

Chlamydia trachomatis infection in early neonatal period

BACKGROUND: The clinical characteristics of Chlamydia trachomatis respiratory tract infections in Japanese neonates were investigated. METHODS: Clinical, laboratory and microbiological characteristics of five infants with pneumonia due to C. trachomatis in early neonatal period were analyzed. RESULTS: Only C. trachomatis was identified in 4 infants. Both C. trachomatis and cytomegalovirus was identified in one. Wheezing, tachypnea and cyanosis were common in infants. Mothers of five infants had negative chlamydial EIAs at 20 weeks of gestation. CONCLUSIONS: We identified five cases of C. trachomatis respiratory tract infections in early neonatal period with the possibility of intrauterine infection. Targeted screening, early diagnosis, and effective treatment of perinatal and neonatal chlamydial infections seems to be necessar

Chlamydiatrachomatis and placental inflammation in early preterm delivery

Chlamydiatrachomatis may infect the placenta and subsequently lead to preterm delivery. Our aim was to evaluate the relationship between the presence of Chlamydiatrachomatis and signs of placental inflammation in women who delivered at 32 weeks gestation or less. Setting: placental histology and clinical data were prospectively obtained from 304 women and newborns at the Erasmus MC-Sophia, Rotterdam, the Netherlands. C.trachomatis testing of placentas was done retrospectively using PCR. C.trachomatis was detected in 76 (25%) placentas. Histological evidence of placental inflammation was present in 123 (40%) placentas: in 41/76 (54%) placentas with C.trachomatis versus 82/228 (36%) placentas without C.trachomatis infection (OR 2.1, 95% CI 1.2–3.5). C.trachomatis infection correlated with the progression (P = 0.009) and intensity (P = 0.007) of materno-fetal placental inflammation. C.trachomatis DNA was frequently detected in the placenta of women with early preterm delivery, and was associated with histopathological signs of placental inflammation

Designing attractive models via automated identification of chaotic and oscillatory dynamical regimes

Chaos and oscillations continue to capture the interest of both the scientific and public domains. Yet despite the importance of these qualitative features, most attempts at constructing mathematical models of such phenomena have taken an indirect, quantitative approach, for example, by fitting models to a finite number of data points. Here we develop a qualitative inference framework that allows us to both reverse-engineer and design systems exhibiting these and other dynamical behaviours by directly specifying the desired characteristics of the underlying dynamical attractor. This change in perspective from quantitative to qualitative dynamics, provides fundamental and new insights into the properties of dynamical systems

Testing the predictive ability of technical analysis using a new stepwise test without data snooping bias

In the finance literature, statistical inferences for large-scale testing problems usually suffer from data snooping bias. In this paper we extend the "superior predictive ability" (SPA) test of Hansen (2005, JBES) to a stepwise SPA test that can identify predictive models without potential data snooping bias. It is shown analytically and by simulations that the stepwise SPA test is more powerful than the stepwise Reality Check test of Romano and Wolf (2005, Econometrica). We then apply the proposed test to examine the predictive ability of technical trading rules based on the data of growth and emerging market indices and their exchange traded funds (ETFs). It is found that technical trading rules have significant predictive power for these markets, yet such evidence weakens after the ETFs are introduced. © 2009.preprin