Sarcoidosis-induced pericarditis in a patient with portopulmonary hypertension: a case report

Portopulmonary hypertension is a rare and severe complication of patients with cirrhosis. Sarcoidosis, a disease of unknown etiology, is also a cause of pulonary hypertension and right heart dysfunction. We report the case of a 51-year-old male patient, suffering from cirrhosis due to Wilson’s disease, portal hypertension and pulmonary hypertension (PH), who developed severe pericarditis. Wilson’s disease was diagnosed 8 years before his last admission to our hospital and was being successfully treated with D-penicillamine. PH was recognized 2 years before admission and being treated with bosentan. The patient complained for dyspnea at rest and the 2D echocardiogram revealed a significant amount of pericardial fluid. All other causes of acute pericarditis were excluded and his laboratory, imaging and histopathological investigation showed evidence of sarcoidosis. He underwent a therapy with corticosteroids (methylprednisolone) and his follow-up examination showed remarkable decrease of the levels of mean pulmonary artery pressure and pericardial fluid

Foxp3 Expression in Liver Correlates with the Degree but Not the Cause of Inflammation

Patients with chronic viral hepatitis display increased expression of Foxp3 in liver, suggesting that Tregs expansion contributes to persistent infection. The purpose of this study was to elucidate whether the expression of Foxp3 relates not to the viral infection but to the resulting liver inflammation. Liver biopsies obtained from 69 individuals (26 chronic HBV hepatitis, 14 chronic HCV hepatitis, 11 nonalcoholic fatty liver disease, 8 autoimmune diseases, 2 methotrexate-related toxicity, and 8 controls) were examined, by qRT-PCR, for the mRNA expression of Foxp3, IL-10, TGF-β1, Fas, FasL, TRAIL, caspase-3, TNF-α, IFN-γ, and IL-1β. Significant increase of Foxp3 was observed in all disease groups compared to controls, which was positively correlated with the intensity of inflammation. The expression of the apoptosis mediators Fas, FasL, and TRAIL, but not of IL-10 and TGF-β1, was also significantly elevated. Our findings indicate that, independently of the initial inducer, liver inflammation is correlated with elevated expression of apoptosis mediators and is followed by local Treg accumulation. Further research towards the elucidation of the underlying casual relationships is required, in order to clarify whether our results signify the existence of a uniform Treg-mediated regulatory mechanism of apoptosis-induced inflammation

Breast carcinoma histological images from the Department of Pathology, "Agios Pavlos" General Hospital of Thessaloniki, Greece

This dataset contains cases of breast carcinoma histological specimens received at the Department of Pathology, “Agios Pavlos” General Hospital of Thessaloniki, Greece. The dataset consists of 300 annotated images of resolution 1280x960 corresponding to 21 different patients with invasive ductal carcinoma of the breast of grades 1-3 (grouped in the corresponding folders). More details about the dataset are presented in the paper: K. Dimitropoulos, P. Barmpoutis, C. Zioga, A. Kamas, K. Patsiaoura and N. Grammalidis, "Grading of invasive breast carcinoma through Grassmannian VLAD encoding", submitted for publication to PLOS ONE, 2017

Classification rates with different patch sizes and patching strategies.

<p>Classification rates with different patch sizes and patching strategies.</p

Comparison of the proposed method against two graph-based approaches, i.e., Voronoi diagram and Delaunay triangulation and a method based on various nuclear features.

<p>The last classification rate corresponds to the fusion of the proposed method with the three other approaches.</p

Grading of invasive breast carcinoma through Grassmannian VLAD encoding - Fig 2

<p>(a)-(c) Indicative cases of H&E breast cancer histological images from our dataset (image resolution 1280x960) and (d)-(f) malignant cases from the BreaKHis dataset (image resolution 700x460) with different magnification factors:(d) x40, (e) x100 and (f) x200.</p

The average image classification rates of the proposed method and the CNN-based deep learning approach presented in [10].

<p>The average image classification rates of the proposed method and the CNN-based deep learning approach presented in [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0185110#pone.0185110.ref010" target="_blank">10</a>].</p