Literature DB >> 26205973

Pneumothorax size measurements on digital chest radiographs: Intra- and inter- rater reliability.

Andreas Thelle1, Miriam Gjerdevik2, Thomas Grydeland3, Trude D Skorge4, Tore Wentzel-Larsen5, Per S Bakke6.   

Abstract

PURPOSE: Detailed and reliable methods may be important for discussions on the importance of pneumothorax size in clinical decision-making. Rhea's method is widely used to estimate pneumothorax size in percent based on chest X-rays (CXRs) from three measure points. Choi's addendum is used for anterioposterior projections. The aim of this study was to examine the intrarater and interrater reliability of the Rhea and Choi method using digital CXR in the ward based PACS monitors.
MATERIALS AND METHODS: Three physicians examined a retrospective series of 80 digital CXRs showing pneumothorax, using Rhea and Choi's method, then repeated in a random order two weeks later. We used the analysis of variance technique by Eliasziw et al. to assess the intrarater and interrater reliability in altogether 480 estimations of pneumothorax size.
RESULTS: Estimated pneumothorax sizes ranged between 5% and 100%. The intrarater reliability coefficient was 0.98 (95% one-sided lower-limit confidence interval C 0.96), and the interrater reliability coefficient was 0.95 (95% one-sided lower-limit confidence interval 0.93).
CONCLUSION: This study has shown that the Rhea and Choi method for calculating pneumothorax size has high intrarater and interrater reliability. These results are valid across gender, side of pneumothorax and whether the patient is diagnosed with primary or secondary pneumothorax.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Digital chest radiograph; Interrater reliability; Intrarater reliability; Pneumothorax size measurement; Rhea’ method

Mesh:

Year:  2015        PMID: 26205973     DOI: 10.1016/j.ejrad.2015.07.003

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  1 in total

1.  Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training.

Authors:  Johannes Rueckel; Christian Huemmer; Andreas Fieselmann; Florin-Cristian Ghesu; Awais Mansoor; Balthasar Schachtner; Philipp Wesp; Lena Trappmann; Basel Munawwar; Jens Ricke; Michael Ingrisch; Bastian O Sabel
Journal:  Eur Radiol       Date:  2021-03-27       Impact factor: 5.315

  1 in total

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