ABSTRACT
INTRODUCTION: Liver rupture is a serious event that is most commonly due to blunt abdominal trauma. We present a case of peliosis hepatis in a patient admitted for acute pyelonephritis who developed hemoperitoneum due to spontaneous hepatic rupture from this rare liver condition. PRESENTATION OF CASE: We report a 44 year-old woman who presented to our hospital with acute pyelonephrititis and hemoperitoneum due to spontaneous hepatic rupture from peliosis hepatis. Physicians should be aware of this rare condition in patients who present with non-traumatic hepatic rupture with hemoperitoneum. DISCUSSION: PH should be considered in all patients with known risk factors who present with typical morphological changes or a hepatic mass, especially when the cause of sudden intraperitoneal hemorrhage is obscure. CONCLUSION: Peliosis hepatis is most often asymptomatic and an incidental finding at autopsy. In symptomatic patients, surgery should be reserved for those patients whose hemorrhage is-life-threatening. Familiarity with the imaging characteristics can help in earlier diagnosis of peliosis hepatis.
ABSTRACT
The spatial organization of proteins in a cell population or in tissues is an important parameter to study the functionality of biological specimens. In this article, we have focused on tight junctions which form network-like features in immunofluorescence microscopy images. Usually, the organization or disorganization of tight junctions is noticed qualitatively. The aim of this article is to present a simple method to quantify the organization level of tight junction network using image analysis with a dedicated macro developed with Image J software. The method has been validated with simulated images displaying regular decrease of network organization. Then, the macro has been applied to immunofluorescence microscopy images of cells in culture and of tissue sections.
Subject(s)
Epithelial Cells/metabolism , Image Processing, Computer-Assisted , Tight Junctions/metabolism , Animals , Cells, Cultured , Computer Simulation , Humans , Lung/pathology , Lung Injury/chemically induced , Lung Injury/pathology , Mice , Mice, Inbred C57BL , Microscopy, Fluorescence , Pancreatic Elastase , Pseudomonas aeruginosa/chemistry , Pseudomonas aeruginosa/immunology , Zonula Occludens-1 Protein/metabolismABSTRACT
Fourier transform infrared (FTIR) spectroscopy is nowadays widely accepted as a technique with high potential for diagnosis of cancerous tissues. This study presents an example of the investigation of peritoneal metastases by FTIR microimaging. Peritoneal malignancies are generally secondary localizations of primary visceral cancers such as ovarian, stomach or colon cancers. By analysing simultaneously both formalin-fixed paraffin-embedded and frozen specimens, we examined malignant and non-malignant (i.e. fibrotic and cicatricial) peritoneal lesions. Paraffin-embedded tissues were analysed without any previous dewaxing. Multivariate statistical approaches, based on the classification of infrared data by hierarchical cluster analysis, allowed the discrimination of these various samples. Microimaging also permits the revelation of the heterogeneity of the tissue: it was possible to localize precisely the cancerous areas, and to distinguish, on the basis of their spectral signatures, the peritumoral neighbouring connective tissue close to the carcinomatous areas from the connective tissue distant from the cancerous areas. These spectral differences could be useful as complementary information to study molecular changes associated with the malignancy.
