Literature DB >> 31640432

Advances in pleural effusion diagnostics.

Lucía Ferreiro1,2, María E Toubes1, María E San José2,3, Juan Suárez-Antelo1, Antonio Golpe1,2, Luis Valdés1,2.   

Abstract

Introduction: Pleural effusion is a common clinical problem. Yet, in a significant proportion of patients (~20%), the cause of pleural effusion remains unknown. Understanding the diagnostic value of pleural fluid tests is crucial for the development of accurate diagnostic models.Areas covered: This paper provides an overview of latest advances in the diagnosis of pleural effusion based on the best evidence available.Expert opinion: For pleural fluid tests to have a good diagnostic value, it is necessary that data obtained from clinical history, physical examination, and radiological studies are correctly interpreted. Thoracentesis and pleural biopsy should always be performed under image guidance to improve its diagnostic sensitivity and prevent complications. Nucleic acid amplification tests, pleural tissue cultures, and collection of pleural fluid in blood culture bottles improve the diagnostic yield of pleural fluid cultures. Although undiagnosed pleural effusions generally have a favorable prognosis, follow-up is recommended to prevent the development of a malignant pleural effusion.

Entities:  

Keywords:  Chylothorax; empyema; heart failure; infectious pleural effusion; malignant pleural effusion; pleural fluid; systemic diseases; tuberculous pleural effusion; undiagnosed pleural effusion

Mesh:

Year:  2019        PMID: 31640432     DOI: 10.1080/17476348.2020.1684266

Source DB:  PubMed          Journal:  Expert Rev Respir Med        ISSN: 1747-6348            Impact factor:   3.772


  7 in total

1.  Deep transfer learning to quantify pleural effusion severity in chest X-rays.

Authors:  Tao Huang; Rui Yang; Longbin Shen; Aozi Feng; Li Li; Ningxia He; Shuna Li; Liying Huang; Jun Lyu
Journal:  BMC Med Imaging       Date:  2022-05-27       Impact factor: 2.795

2.  The efficiency of a clinical pathway to guide combined applications of interventional pulmonology in undiagnosed pleural effusions.

Authors:  Yuan Liu; Lili Geng; Jian Xu; Mei Sun; Na Gao; Jing Zhao; Xue Han; Xiaolin Zhang; Xiaohui Zhao; Ling Jiang; Junjun Zhao
Journal:  Sci Rep       Date:  2022-07-01       Impact factor: 4.996

3.  GC-MS metabolomics identifies novel biomarkers to distinguish tuberculosis pleural effusion from malignant pleural effusion.

Authors:  Yongxia Liu; Bin Mei; Deying Chen; Long Cai
Journal:  J Clin Lab Anal       Date:  2021-02-02       Impact factor: 2.352

4.  Clinical diagnostic algorithm in defining tuberculous unilateral pleural effusion in high tuberculosis burden areas short of diagnostic tools.

Authors:  Rentao Yu; Sheng Hu; Chao Wang; Hua Zhang; Zhenliang Xiao; Lijie Ma
Journal:  J Thorac Dis       Date:  2022-04       Impact factor: 2.895

5.  Value of ultrasonography in determining the nature of pleural effusion: Analysis of 582 cases.

Authors:  Ting Wang; Ge Du; Liping Fang; Yang Bai; Zishuang Liu; Li Wang
Journal:  Medicine (Baltimore)       Date:  2022-08-19       Impact factor: 1.817

6.  Development and validation of a novel scoring system developed from a nomogram to identify malignant pleural effusion.

Authors:  Sufei Wang; Shan Tian; Yuan Li; Na Zhan; Yingyun Guo; Yu Liu; Juanjuan Xu; Yanling Ma; Shujing Zhang; Siwei Song; Wei Geng; Hui Xia; Pei Ma; Xuan Wang; Tingting Liao; Yanran Duan; Yang Jin; Weiguo Dong
Journal:  EBioMedicine       Date:  2020-07-30       Impact factor: 8.143

7.  Development and Validation of a Scoring System for Early Diagnosis of Malignant Pleural Effusion Based on a Nomogram.

Authors:  Aihua Wu; Zhigang Liang; Songbo Yuan; Shanshan Wang; Weidong Peng; Yijun Mo; Jing Yang; Yanqing Liu
Journal:  Front Oncol       Date:  2021-12-07       Impact factor: 6.244

  7 in total

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