Literature DB >> 20093603

Differentiation of pleural effusions from parenchymal opacities: accuracy of bedside chest radiography.

Mary T Kitazono1, Charles T Lau, Andrea N Parada, Pooja Renjen, Wallace T Miller.   

Abstract

OBJECTIVE: The purpose of this study was to determine, with CT as the reference standard, the ability of radiologists to detect pleural effusions on bedside chest radiographs.
MATERIALS AND METHODS: Images of 200 hemithoraces in 100 ICU patients undergoing chest radiography and CT within 24 hours were reviewed. Four readers with varying levels of experience reviewed the chest radiographs and predicted the likelihood of the presence of an effusion or parenchymal opacity on independent 5-point scales. The results were compared with the CT findings.
RESULTS: All readers regardless of experience had similar accuracy in detecting pleural effusions. Among 117 pleural effusions, 66% were detected on chest radiographs (53%, 71%, and 92% of small, moderate, and large effusions) with 89% specificity. Similarly, 65% of all parenchymal opacities were detected on chest radiographs, also with 89% specificity. Most (93%) of the misdiagnosed pulmonary opacities were simply not seen. Meniscus, apical cap, lateral band, and subpulmonic opacity were highly specific findings but had low individual sensitivity for effusions. The finding of homogeneous opacity, including both layering and gradient opacities, was the most sensitive sign of effusion. Atelectasis can occasionally mimic the pleural veil sign of effusion, accounting for most false-positive findings.
CONCLUSION: Radiologists interpreting bedside chest radiographs of ICU patients detect large pleural effusions 92% of the time and can exclude large effusions with high confidence. However, small and medium effusions often are misdiagnosed as parenchymal opacities (45%) or are not seen (55%). Pulmonary opacities often are missed (34%) but are rarely misdiagnosed as pleural effusions (7%).

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Year:  2010        PMID: 20093603     DOI: 10.2214/AJR.09.2950

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  9 in total

Review 1.  [Thoracic radiology in the intensive care unit].

Authors:  C Schülke; N Roos; B Buerke; W Heindel
Journal:  Med Klin Intensivmed Notfmed       Date:  2011-10-29       Impact factor: 0.840

2.  Lung ultrasound in the intensive care unit: an idea that may be too good to be true.

Authors:  Judith F Katz; James S Bezreh; E Kent Yucel
Journal:  Intensive Care Med       Date:  2014-12-16       Impact factor: 17.440

3.  Revisiting signs, strengths and weaknesses of Standard Chest Radiography in patients of Acute Dyspnea in the Emergency Department.

Authors:  Luciano Cardinale; Giovanni Volpicelli; Alessandro Lamorte; Jessica Martino
Journal:  J Thorac Dis       Date:  2012-08       Impact factor: 2.895

4.  Use of Standardized Uptake Value Ratios Decreases Interreader Variability of [18F] Florbetapir PET Brain Scan Interpretation.

Authors:  A P Nayate; J G Dubroff; J E Schmitt; I Nasrallah; R Kishore; D Mankoff; D A Pryma
Journal:  AJNR Am J Neuroradiol       Date:  2015-03-12       Impact factor: 3.825

Review 5.  Ultrasound in the diagnosis and management of pleural effusions.

Authors:  Nilam J Soni; Ricardo Franco; Maria I Velez; Daniel Schnobrich; Ria Dancel; Marcos I Restrepo; Paul H Mayo
Journal:  J Hosp Med       Date:  2015-07-28       Impact factor: 2.960

Review 6.  Screening Performance Characteristic of Ultrasonography and Radiography in Detection of Pleural Effusion; a Meta-Analysis.

Authors:  Mahmoud Yousefifard; Masoud Baikpour; Parisa Ghelichkhani; Hadi Asady; Kavous Shahsavari Nia; Ali Moghadas Jafari; Mostafa Hosseini; Saeed Safari
Journal:  Emerg (Tehran)       Date:  2016

7.  Bedside Lung Ultrasound for Postoperative Lung Conditions in Cardiothoracic Intensive Care Unit: Diagnostic Value and Comparison with Bedside Chest Roentgenogram.

Authors:  Kirubanand Senniappan; Rupa Sreedhar; M S Saravana Babu; Prasanta Kumar Dash; Shrinivas V Gadhinglajkar; Subin Sukesan
Journal:  Anesth Essays Res       Date:  2019-12-16

8.  Postoperative Chylothorax after Modified Radical Neck Dissection for Thyroid Carcinoma: A Missable Rare Complication of Thyroid Surgery.

Authors:  Junghyun Lee; In Eui Bae; Jin Yoon; Keunchul Lee; Hyeong Won Yu; Su-Jin Kim; Young Jun Chai; June Young Choi; Kyu Eun Lee
Journal:  Medicina (Kaunas)       Date:  2020-09-21       Impact factor: 2.430

9.  Deep learning computer-aided detection system for pneumonia in febrile neutropenia patients: a diagnostic cohort study.

Authors:  Eui Jin Hwang; Jong Hyuk Lee; Jae Hyun Kim; Woo Hyeon Lim; Jin Mo Goo; Chang Min Park
Journal:  BMC Pulm Med       Date:  2021-12-07       Impact factor: 3.317

  9 in total

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