Publications by authors named "A W Nap"

Study Question: How can we best achieve tissue segmentation and cell counting of multichannel-stained endometriosis sections to understand tissue composition?

Summary Answer: A combination of a machine learning-based tissue analysis software for tissue segmentation and a deep learning-based algorithm for segmentation-independent cell identification shows strong performance on the automated histological analysis of endometriosis sections.

What Is Known Already: Endometriosis is characterized by the complex interplay of various cell types and exhibits great variation between patients and endometriosis subtypes.

Study Design, Size, Duration: Endometriosis tissue samples of eight patients of different subtypes were obtained during surgery.

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There is a growing trend of patients with significant comorbidities among those referred for percutaneous coronary intervention (PCI). Consequently, the number of patients undergoing complex high risk indicated PCI (CHIP) is rising. CHIP patients frequently present with factors predisposing to extensive drug-eluting stent (DES) implantation, such as bifurcation and/or heavily calcified coronary lesions, which exposes them to the risks associated with an increased stent burden.

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Background: Transgender and gender diverse (TGD) people embody social and health inequalities that disproportionately affect this community more than the cisgender population. Endometriosis is a chronic condition of the reproductive tract that affects 5-10% of cisgender women. A recent systematic review with meta-analysis uncovered a pooled prevalence of 25.

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Introduction: Hysterosalpingography (HSG) and hysterosalpingo-foam sonography (HyFoSy) are commonly used tubal patency tests during the fertility work-up. Besides its diagnostic purpose, HSG with oil-based contrast can also be applied for its fertility-enhancing effect, by tubal flushing. HyFoSy is considered as less painful compared with HSG, it lacks exposure to iodinated contrast medium and ionising radiation.

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Background: The applicability of quantitative flow ratio (QFR), a nonhyperemic, invasive coronary angiography-derived computation of fractional flow reserve (FFR), has not been studied in coronary artery bypass grafts. We sought to explore the correlation and diagnostic agreement between QFR and FFR in saphenous vein grafts (SVGs).

Methods And Results: A total of 129 prospectively included patients (mean age 73±8 years, 84% male) with prior coronary artery bypass grafting underwent invasive coronary angiography and pressure-derived functional assessment in 150 nonoccluded SVGs.

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