scholarly journals Diagnostic value of medical thoracoscopy in malignant pleural effusion

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Yan-Bing Wu ◽  
Li-Li Xu ◽  
Xiao-Juan Wang ◽  
Zhen Wang ◽  
Jun Zhang ◽  
...  
Keyword(s):  
Pleural Effusion ◽  
Malignant Pleural Effusion ◽  
Diagnostic Value ◽  
Medical Thoracoscopy

scholarly journals Diagnostic value and safety of medical thoracoscopy in tuberculous pleural effusion

2015 ◽  
Vol 109 (9) ◽  
pp. 1188-1192 ◽  
Author(s):  
Zhen Wang ◽  
Li-Li Xu ◽  
Yan-Bing Wu ◽  
Xiao-Juan Wang ◽  
Yuan Yang ◽  
...  
Keyword(s):  
Pleural Effusion ◽  
Diagnostic Value ◽  
Tuberculous Pleural Effusion ◽  
Medical Thoracoscopy

scholarly journals CEA and ADA in Pleural Fluid for Differential Malignant Pleural Effusion and Tuberculous Pleural Effusion

2021 ◽  
Author(s):  
Jianhong Yu ◽  
Qirui Cai
Keyword(s):  
Pleural Effusion ◽  
Pleural Fluid ◽  
Roc Curve ◽  
Malignant Pleural Effusion ◽  
Diagnostic Value ◽  
Diagnostic Model ◽  
Diagnostic Efficacy ◽  
Tuberculous Pleural Effusion ◽  
Diagnostic Models ◽  
Independent Risk Factors

Abstract Objective This study aimed to establish a predictive model based on the clinical manifestations and laboratory findings in pleural fluid of patients with pleural effusion for the differential diagnosis of malignant pleural effusion (MPE) and tuberculous pleural effusion (TPE). Methods Clinical data and laboratory indices of pleural fluid were collected from patients with malignant pleural effusion and tuberculous pleural effusion in Zigong First People's Hospital between January 2019 and June 2020，and were compared between the two groups. Independent risk factors or Independent protective factors for malignant pleural effusion were investigated using multivariable logistic regression analysis. Receiver operating characteristic curve (ROC) analysis was performed to assess the diagnostic performance of factors with independent effects, and combined diagnostic models were established based on two or more factors with independence effect. ROC curve was used to evaluate the diagnostic ability of each model, and the fit of the eath model was measured using Hosmer-Lemeshow goodness-of-fit test. Results Patients with MPE were older than those with TPE, the rate of fever of patients with MPE was lower than that of patients with TPE, and these differences were statistically significant (p < 0.05). Carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), cytokeratin-19 fragment antigen (CYFRA21-1), cancer antigen 125 (CA125), and glucose (GLU) levels in the pleural fluid were higher, but total protein (TP), albumin (ALB) and Adenosine deaminase (ADA) levels in the pleural fluid were lower in MPE patients than in TPE patients, and the differences were statistically significant (P<0.05). In multivariate logistic regression analysis, CEA and NSE levels in the pleural fluid were independent risk factors for MPE, whereas ADA levels in pleural fluid and fever were independent protective factors for MPE. The differential diagnostic value of pleural fluid CEA and pleural fluid ADA for MPE and TPE were higher than that of pleural fluid NSE（p<0.05） and the area under the ROC curve was 0.901, 0.892, and 0.601, respectively. Four different binary logistic diagnostic models were established based on pleural fluid CEA combined with pleural fluid NSE, pleural fluid ADA or ( and ) fever. Among them, the model established with the combination of pleural fluid CEA and pleural fluid ADA (logit (P) = 0.513 + 0.457*CEA-0.101*ADA) had the highest diagnostic value for malignant pleural effusion, and its predictive accuracy was high with an area under the ROC curve of 0.968 [95% confidence interval (0.947, 0.988)]. But the diagnostic efficacy of the diagnostic model could not be improved by adding pleural fluid NSE and fever. Conclusion The model established with the combination of CEA and ADA in the pleural fluid has a high differential diagnostic value for malignant pleural effusion and tuberculous pleural effusion, and NSE in the pleural fluid and fever cannot improve the diagnostic efficacy of the diagnostic model.

Diagnostic value of human epididymis protein 4 in malignant pleural effusion in lung cancer

2019 ◽  
Vol 26 (4) ◽  
pp. 523-528
Author(s):  
Min Lv ◽  
Fen Wang ◽  
Xiaoyan Wang ◽  
Cuilan Zhang
Keyword(s):  
Lung Cancer ◽  
Pleural Effusion ◽  
Malignant Pleural Effusion ◽  
Diagnostic Value ◽  
Human Epididymis Protein 4 ◽  
Human Epididymis

scholarly journals Diagnostic Value and Safety of Medical Thoracoscopy in the Management of Exudative Pleural Effusion

2017 ◽  
Vol 18 (3) ◽  
pp. 139-142
Author(s):  
Mehmet Akif Ozgul ◽  
Erdogan Cetinkaya ◽  
Elif Tanriverdi ◽  
Mustafa Cortuk ◽  
Murat Acat ◽  
...  
Keyword(s):  
Pleural Effusion ◽  
Diagnostic Value ◽  
Medical Thoracoscopy ◽  
Exudative Pleural Effusion

Diagnostic value of the FHIT and p16 mRNA loss and the K-ras gene mutation in pleural fluids for malignant pleural effusion

2013 ◽  
Vol 13 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Jian Li ◽  
Qian-Lei Bao ◽  
Yi Wang ◽  
Yi-Ming Hu ◽  
Ping Chen
Keyword(s):  
Pleural Effusion ◽  
Gene Mutation ◽  
Malignant Pleural Effusion ◽  
Diagnostic Value ◽  
Ras Gene

Proteome analysis of malignant pleural effusion

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e22194-e22194
Author(s):  
K. Lee ◽  
J. Bang ◽  
K. Kim
Keyword(s):  
Pleural Effusion ◽  
Malignant Pleural Effusion ◽  
False Positive Rate ◽  
Coagulation Factor ◽  
Proteome Analysis ◽  
Diagnostic Value ◽  
Complement Factor ◽  
Glycoprotein Precursor ◽  
Tuberculous Pleural Effusion ◽  
Potential Biomarker

e22194 Background: Because pleural effusion contains proteins of potential diagnostic value, a comprehensive proteomic analysis of the pleural effusion is worthy to discover a new biomarker. Malignant pleural effusion and tuberculous pleural effusion are sometimes diagnositc challenge due to their similarity like lymphocyte-dominant effusion. Herein, we tried to identify differentially expressed proteins in both effusion using proteomic anlaysis. Methods: Twenty microliters of pleural effusions(PEs) from 3 patients with non-small cell lung cancer(NSCLC) and 3 patients with tuberculous pleurisy(TBC) were used for proteome analysis. After depletion of high abundant proteins including albumin, IgG with MARS Hu-6(Agilent), proteins were separated by SDS-PAGE and subject to in-gel tryptic digestion. The resulting peptides were analyzed by liquid chromatography/tandem mass spectrometry (LC/MS/MS). The MS/MS spectra were analyzed by Spectrum Mill against normal and reversed human protein databases. Results: In the total of 6 samples, 90 proteins were identified with more than 2 peptides and less than 1% of false positive rate. Among the identified pleural proteins, 57 proteins were detected both in PEs of NSCLS and TBC, 19 and 14 proteins were identified only in the PE of NSCLC and TBC, respectively. We analysed molecular functions, molecular composition and molecular processes of identified proteins with FindGo software. Among the identified proteins, we found the biomarker candidates that significantly have different expression levels in malignant effusion; apolipoprotein B precursor, vitronectin, complement factor B, histidine-rich glycoprotein precursor, coagulation factor II precursor variant. Conclusions: We found that several pleural effusion proteins may serve as potential biomarker candidates for differential diagnosis between maligant and tuberculous pleural effusion. We'll confirm these proteins through the proteomic method(MRM) and immunological method(Western bolt). No significant financial relationships to disclose.

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