Retroperitoneal fibrosis and scleroderma [PDF]
Postgraduate Medical Journal, 1980 Abstract The association of retroperitoneal fibrosis and systemic sclerosis is reported from a patient positive for the HLA-B27 antigen. This appears to be the first report of such an association. Pathological features common to the 2 syndromes are discussed and the literature is reviewed.
R. W. Watts, M. A. Mansell
openaire +3 more sources
Differential Diagnosis: Retroperitoneal Fibrosis and Oncological Diseases
Open Medicine, 2019 Retroperitoneal fibrosis is a connective disease of the auto-inflammatory/auto-immune type of the retroperitoneum with unknown etiology and pathological mechanism. The manifestations of the pathology can be local or systemic.
A. Sica +15 more
semanticscholar +1 more source
Idiopathic Retroperitoneal Fibrosis with Bilateral Varicocele – A Rare Presentation of Very Rare Clinical Entity [PDF]
Journal of Krishna Institute of Medical Sciences University, 2019 Retroperitoneal fibrosis is a very rare inflammatory disease leading to extensive fibrosis throughout the retroperitoneum. The majority of cases are idiopathic in which the exact cause is not known.
Vikram Rajput +3 more
doaj
A case of idiopathic retroperitoneal fibrosis presenting as gallbladder carcinoma
BMC Surgery, 2021 Background Retroperitoneal fibrosis (RPF) is a rare disease with a poor prognosis characterized by systemic inflammation and fibroinflammatory tissue. Idiopathic RPF (IRPF) accounts for approximately two-thirds of RPF cases.
Rui Li +4 more
doaj +1 more source
Experimental studies of the endolymphatic radiotherapy [PDF]
, 1974 By injecting 131I-Lipiodol into lymphatics of the dorsum of dog feet, the distribution of 13JI in the lymph nodes and other principal organs as well as its histological effect were studied periodically after the injection for the period of two months ...
Irino, Shozo +3 more
core +1 more source
Characterizing Pulmonary Fibrosis Patterns in Post-COVID-19 Patients through Machine Learning Algorithms [PDF]
arXiv, 2023 The COVID-19 pandemic has left a lasting impact on global healthcare systems, with increasing evidence of pulmonary fibrosis emerging as a post-infection complication. This study presents a comprehensive analysis of pulmonary fibrosis patterns in post-COVID-19 patients from South and Central Iraq, employing advanced machine learning algorithms.
arxiv
Ultrasound Liver Fibrosis Diagnosis using Multi-indicator guided Deep Neural Networks [PDF]
Machine Learning in Medical Imaging 2019, 2020 Accurate analysis of the fibrosis stage plays very important roles in follow-up of patients with chronic hepatitis B infection. In this paper, a deep learning framework is presented for automatically liver fibrosis prediction. On contrary of previous works, our approach can take use of the information provided by multiple ultrasound images.
arxiv +1 more source
Fibro-CoSANet: Pulmonary Fibrosis Prognosis Prediction using a Convolutional Self Attention Network [PDF]
, 2021 Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vital capacity (FVC), determining the accurate progression of IPF remains a challenge. To address this challenge, we proposed Fibro-CoSANet, a novel end-to-end
arxiv +1 more source
IgG4-related kidney disease and retroperitoneal fibrosis: An update
Modern Rheumatology, 2019 The most representative kidney lesion of IgG4-related disease (IgG4-RD) is plasma cell-rich tubulointerstitial nephritis (TIN) with distinctive imaging findings including multiple low-density lesions on contrast-enhanced computed tomography. In addition,
M. Kawano, T. Saeki, H. Nakashima
semanticscholar +1 more source
Tissue eosinophilia and eosinophil degranulation in Riedel's invasive fibrous thyroiditis. [PDF]
, 1996 The etiology of Riedel's invasive fibrous thyroiditis (IFT) has remained obscure. This rare disorder has been confused in the past with the more common fibrous variant of Hashimoto's disease.
Bahn, R. S. +4 more
core +1 more source