Publications by authors named "P S Wolters"

Background: Systemic sclerosis (SSc) is a rare connective tissue disease, frequently affecting the skin, lungs, and pulmonary vasculature. Approximately 30-50% of SSc patients develop interstitial lung disease (SSc-ILD), with 30-35% of related deaths attributed to it. Even though men are less likely to develop systemic sclerosis, they have a higher incidence of SSc-ILD than women, and they tend to develop it at a younger age with a higher mortality rate.

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The MEK inhibitor selumetinib induces objective responses and provides clinical benefit in children with neurofibromatosis type 1 (NF1) and inoperable plexiform neurofibromas (PNs). To evaluate whether similar outcomes were possible in adult patients, in whom PN growth is generally slower than in pediatric patients, we conducted an open-label phase 2 study of selumetinib in adults with NF1 PNs. The study was designed to evaluate objective response rate (primary objective), tumor volumetric responses, patient-reported outcomes and pharmacodynamic effects in PN biopsies.

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Background: Idiopathic interstitial pneumonias (IIPs), such as idiopathic pulmonary fibrosis and interstitial pneumonia with autoimmune features, present diagnostic and therapeutic challenges due to their heterogeneous nature. This study aimed to identify intrinsic molecular signatures within the lung microenvironment of these IIPs through proteomic analysis of bronchoalveolar lavage fluid (BALF).

Methods: Patients with IIP (n=23) underwent comprehensive clinical evaluation including pre-treatment bronchoscopy and were compared with controls without lung disease (n=5).

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Purpose Of Review: Systemic sclerosis (SSc) is a systemic autoimmune disease characterized by diffuse organ fibrosis and vasculopathy. Aberrant aging has been increasingly implicated in fibrotic diseases of the lung and other organs. The aim of this review is to summarize the established mechanisms of aging and how they may contribute to the pathogenesis of SSc.

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Article Synopsis
  • Idiopathic pulmonary fibrosis (IPF) is a complex disease, and variations in genetic profiles might influence unique clinical and imaging characteristics.
  • Computational image analysis, or radiomics, provides a way to quantify and analyze CT scan features objectively in patients with pulmonary fibrosis.
  • The study found that certain genetic variants correlated with deep learning-based classifications of the usual interstitial pneumonia (UIP) pattern on CT, suggesting that advanced imaging analysis could help in understanding genotype-phenotype relationships in lung diseases.
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