Literature DB >> 23504333

Quantification of pleural effusion from single area measurements on CT.

Branislav Veljkovic1, Sabine Franckenberg, Gary M Hatch, Matthias Bucher, Nicole Schwendener, Garyfalia Ampanozi, Michael J Thali, Thomas D Ruder.   

Abstract

The objective of this study was to determine if area measurements of pleural fluid on computed tomography (CT) reflect the actual pleural fluid volume (PEvol) as measured at autopsy, to establish a formula to estimate the volume of pleural effusion (PEest), and to test the accuracy and observer reliability of PEest.132 human cadavers, with pleural effusion were divided into phase 1 (n = 32) and phase 2 (n = 100). In phase 1, PEvol was compared to area measurements on axial (axA), sagittal (sagA), and coronal (corA) CT images. Linear regression analysis was used to create a formula to calculate PEest. In phase 2, intra-class correlation (ICC) was used to assess inter-reader reliability and determine the agreement between PEest and PEvol. PEvol correlated to a higher degree to axA (r s mean = 0.738; p < 0.001) than to sagA (r s mean = 0.679, p < 0.001) and corA (r s mean = 0.709; p < 0.001). PEest can be established with the following formula: axA × 0.1 = PEest. Mean difference between PEest and PEvol was less than 40 mL (ICC = 0.837-0.874; p < 0.001). Inter-reader reliability was higher between two experienced readers (ICC = 0.984-0.987; p < 0.001) than between an inexperienced reader and both experienced readers (ICC = 0.660-0.698; p < 0.001). Pleural effusions may be quantified in a rapid, reliable, and reasonably accurate fashion using single area measurements on CT.

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Year:  2013        PMID: 23504333     DOI: 10.1007/s10140-013-1115-y

Source DB:  PubMed          Journal:  Emerg Radiol        ISSN: 1070-3004


  12 in total

1.  Ultrasound estimation of volume of pleural fluid in mechanically ventilated patients.

Authors:  M Balik; P Plasil; P Waldauf; J Pazout; M Fric; M Otahal; J Pachl
Journal:  Intensive Care Med       Date:  2006-01-24       Impact factor: 17.440

Review 2.  Postmortem imaging: MDCT features of postmortem change and decomposition.

Authors:  Angela D Levy; Howard Theodore Harcke; Craig T Mallak
Journal:  Am J Forensic Med Pathol       Date:  2010-03       Impact factor: 0.921

3.  New formula for quantification of pleural effusions from computed tomography.

Authors:  P J Mergo; T Helmberger; J Didovic; J Cernigliaro; P R Ros; E V Staab
Journal:  J Thorac Imaging       Date:  1999-04       Impact factor: 3.000

4.  Semiautomated segmentation of pleural effusions in MDCT datasets.

Authors:  Christian von Falck; Simone Meier; Steffen Jördens; Benjamin King; Michael Galanski; Hoen-oh Shin
Journal:  Acad Radiol       Date:  2010-04-18       Impact factor: 3.173

5.  Correlating first- and second-rib fractures noted on spine computed tomography with major vessel injury.

Authors:  Ankaj Khosla; Joseph Ocel; Arash Ehteshami Rad; David F Kallmes
Journal:  Emerg Radiol       Date:  2010-06-12

Review 6.  Pictorial review: computed tomography features of cardiovascular emergencies and associated imminent decompensation.

Authors:  Tow Non Yeow; Vikram Muppalla Raju; Nanda Venkatanarasimha; Bruce M Fox; Carl A Roobottom
Journal:  Emerg Radiol       Date:  2010-10-07

7.  Quantification of pleural effusions: sonography versus radiography.

Authors:  K L Eibenberger; W I Dock; M E Ammann; R Dorffner; M F Hörmann; F Grabenwöger
Journal:  Radiology       Date:  1994-06       Impact factor: 11.105

8.  Ultrasound estimation of volume of postoperative pleural effusion in cardiac surgery patients.

Authors:  Engin Usta; Migdat Mustafi; Gerhard Ziemer
Journal:  Interact Cardiovasc Thorac Surg       Date:  2009-11-10

9.  Thoracic CT findings of novel influenza A (H1N1) infection in immunocompromised patients.

Authors:  Brett M Elicker; Brian S Schwartz; Catherine Liu; Eunice C Chen; Steve A Miller; Charles Y Chiu; W Richard Webb
Journal:  Emerg Radiol       Date:  2010-01-29

10.  Pleural fluid volume estimation: a chest radiograph prediction rule.

Authors:  C C Blackmore; W C Black; R V Dallas; H C Crow
Journal:  Acad Radiol       Date:  1996-02       Impact factor: 3.173

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