Results 51 to 60 of about 328,484 (430)

The diagnostic value of C-reactive protein and adenosine deaminase biomarkers for differentiation of exudative pleural effusion [PDF]

open access: yes, 2016
Background: The aim of the present study was to investigate the roles biomarkers C-reactive protein (CRP) and adenosine deaminase (ADA) in the differentiation of exudative pleural effusion and tuberculosis from non-tuberculosis pleural effusion.Methods ...
Hakani, Lira, Mitre, Anila
core   +2 more sources

Pleural CD14+ monocytes/macrophages of healthy adolescents show a high expression of metallothionein family genes

open access: yesEuropean Journal of Immunology, Volume 53, Issue 1, January 2023., 2023
Modern surgical (technical) possibilities enable pleural macrophage isolation and analyses regardless the person`s age. Transcriptome profiling of macrophages from healthy or sick individuals revealed that these cells express high levels of metallothioneins, metal‐binding proteins that are involved in heavy metal detoxification, antioxidative defense ...
Nagoud Schukfeh   +11 more
wiley   +1 more source

Value of Detection of CAIX in the Pleural Effusion and Its Sediment in the Diagnosis of Lung Cancer

open access: yesChinese Journal of Lung Cancer, 2015
Background and objective Carbonic anhydrase IX (CAIX) is widely expressed in a variety of malignant tumors, including-lung cancer. Our previous study has shown that the serum level of soluble form of carbonic anhydrase IX (s-CAIX) was significantly ...
Lina PENG   +4 more
doaj   +1 more source

Role of adenosine deaminase and lymphocyte/neutrophil ratio in the diagnosis of tuberculous pleural effusion in patients with exudative pleural effusion [PDF]

open access: yes, 2017
Background: Present study was conducted with an objective to evaluate the role of ADA and lymphocyte/neutrophil ratio in the diagnosis of tuberculous pleural effusion in patients with exudative pleural effusion and to analyze the cause of non-tuberculous
Behera, Bijaya K., TN, Sathish K.
core   +2 more sources

Pleural Effusion Classification Based on Chest X-Ray Images using Convolutional Neural Network [PDF]

open access: yes, 2021
Pleural effusion is a respiratory infection characterized by a buildup of fluid between the two layers of pleura, which causes specific symptoms such as chest pain and shortness of breath.
Fauzan, Ahmad Rafiansyah   +2 more
core   +2 more sources

Evaluation of the patient with pleural effusion

open access: yesCanadian Medical Association Journal, 2018
KEY POINTS Evaluation of the patient with pleural effusion is challenging, because the differential diagnosis is broad and includes both benign and life-threatening conditions.
Stéphane Beaudoin, Anne V Gonzalez
semanticscholar   +1 more source

Mutation update for the ACTN2 gene

open access: yesHuman Mutation, Volume 43, Issue 12, Page 1745-1756, December 2022., 2022
Abstract ACTN2 encodes alpha‐actinin‐2, a protein expressed in human cardiac and skeletal muscle. The protein, located in the sarcomere Z‐disk, functions as a link between the anti‐parallel actin filaments. This important structural protein also binds N‐terminal titins, and thus contributes to sarcomere stability.
Johanna Ranta‐aho   +13 more
wiley   +1 more source

Sarcoidosis of the pleura: A case report [PDF]

open access: yesVojnosanitetski Pregled, 2014
Introduction. Pleural involvement is an uncommon manifestation of sarcoidosis. It may manifest as pleural effusion, pneumothorax, pleural thickening and nodules, hydropneumothorax, trapped lung, hemothorax, or chylothorax.
Jovanović Dragana   +6 more
doaj   +1 more source

Liquid biopsy using the supernatant of a pleural effusion for EGFR genotyping in pulmonary adenocarcinoma patients: a comparison between cell-free DNA and extracellular vesicle-derived DNA

open access: yesBMC Cancer, 2018
EGFR genotyping in pulmonary adenocarcinoma patients who develop pleural effusions is mostly performed using cytology or cell block slides with low sensitivity.
Jong Sik Lee   +7 more
semanticscholar   +1 more source

Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis [PDF]

open access: yesarXiv, 2021
Deep neural networks are increasingly being used for computer-aided diagnosis, but erroneous diagnoses can be extremely costly for patients. We propose a learning to defer with uncertainty (LDU) algorithm which identifies patients for whom diagnostic uncertainty is high and defers them for evaluation by human experts. LDU was evaluated on the diagnosis
arxiv  

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