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Table 1.

Intra- and inter-observer variability of 20 histological variables (two level classification).

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Table 2.

Imaging and clinical features of EPS patients.

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Table 3.

Clinical data of study patients.

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Figure 1.

Histopathological findings in EPS compared to simple sclerosis.

A HE staining showing an increased cellularity, round cells and fibroblast like cells (arrows). EPS, original magnification×400; B HE staining showing a decreased cellularity, fibrin deposits and a complete denudation of the mesothelial cell layer with fibrin exudations (arrows). EPS, original magnification×100; C HE staining showing a decreased cellularity with intracellular matrix (arrows), complete mesothelial denudation with fibrin exudations. EPS, original magnification×200; D HE staining showing an increased cellularity, hemorrhage, round cells, fibroblast like cells and fibrin deposits (arrows). EPS, original magnification×400; E Fe staining showing vessels, intraluminal erythrocytes and Fe deposits (arrows). EPS, original magnification×400; F D2–40 stained section showing podoplanin positive cells associated to vessels (arrows). EPS, original magnification×400.

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Figure 2.

Histopathological findings in EPS compared to simple sclerosis.

A D2–40 stained section showing podoplanin positive cells not associated to vessels (arrows). EPS, original magnification×400; B HE staining showing acute and chronic inflammation with round cells and neutrophils (arrows). EPS, original magnification×400; C HE staining showing fibroblast like cells, eosinophils, plasma cells and round cells (arrows). EPS, original magnification×400; D HE staining showing vasculitis, round cells and calcium deposits (arrows). EPS, original magnification×100.

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Figure 3.

Thickness of the fibrosis zone in the submesothelial cell layer in PD patients and patients on PD with EPS.

p = 0.031; range PD group 227–2581 µm; range EPS group 281–2150 µm.

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Table 4.

Frequency of histologic findings in EPS compared to simple sclerosis.

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Table 5.

Classification of EPS and non-EPS cases by using random forests.

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