Literature DB >> 23269716

Inter-rater reliability of quantifying pleural B-lines using multiple counting methods.

Kenton L Anderson1, J Matthew Fields, Nova L Panebianco, Katherine Y Jenq, Jennifer Marin, Anthony J Dean.   

Abstract

OBJECTIVES: Sonographic B-lines are a sign of increased extravascular lung water. Several techniques for quantifying B-lines within individual rib spaces have been described, as well as different methods for "scoring" the cumulative B-line counts over the entire thorax. The interobserver reliability of these methods is unknown. This study examined 3 methods of quantifying B-lines for inter-rater reliability.
METHODS: Videotaped pleural assessments of adult patients presenting to the emergency department with dyspnea and suspected acute heart failure were reviewed by 3 blinded pairs of emergency physicians. Each pair performed B-line counts within single rib spaces using 1 of the following 3 predetermined methods: 1, individual B-lines are counted over an entire respiratory cycle; 2, as per method 1, but confluent B-lines are counted as multiple based on the percentage of the rib space they occupy; and 3, as per method 2, but the count is made at the moment when the most B-lines are seen, not over an entire respiratory cycle. A single-measures interclass correlation coefficient was used to assess inter-rater reliability for the 3 definitions of B-line counts.
RESULTS: A total of 456 video clips were reviewed. The interclass correlation coefficients (95% confidence intervals) for methods 1, 2, and 3 were 0.84 (0.81-0.87), 0.87 (0.85-0.90), and 0.89 (0.87-0.91), respectively. The difference between methods 1 and 3 was significant (P = .003).
CONCLUSIONS: All methods of B-line quantification showed substantial inter-rater agreement. Method 3 is more reliable than method 1. There were no other significant differences between the methods. We recommend the use of method 3 because it is technically simpler to perform and more reliable than method 1.

Entities:  

Mesh:

Year:  2013        PMID: 23269716     DOI: 10.7863/jum.2013.32.1.115

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  18 in total

1.  Serial Sonographic Assessment of Pulmonary Edema in Patients With Hypertensive Acute Heart Failure.

Authors:  Jennifer L Martindale; Michael Secko; John F Kilpatrick; Ian S deSouza; Lorenzo Paladino; Andrew Aherne; Ninfa Mehta; Alyssa Conigiliaro; Richard Sinert
Journal:  J Ultrasound Med       Date:  2017-07-31       Impact factor: 2.153

2.  Impact of device selection and clip duration on lung ultrasound assessment in patients with heart failure.

Authors:  Elke Platz; Emanuele Pivetta; Allison A Merz; Julie Peck; Jose Rivero; Susan Cheng
Journal:  Am J Emerg Med       Date:  2015-06-06       Impact factor: 2.469

3.  Optimizing B-lines on lung ultrasound: an in-vitro to in-vivo pilot study with clinical implications.

Authors:  Christopher N Schmickl; Aravind Ajakumar Menon; Rajanigandha Dhokarh; Bhavna Seth; Frank Schembri
Journal:  J Clin Monit Comput       Date:  2019-05-14       Impact factor: 2.502

4.  Accuracy of Daily Lung Ultrasound for the Detection of Pulmonary Edema Following Subarachnoid Hemorrhage.

Authors:  Craig A Williamson; Ivan Co; Aditya S Pandey; B Gregory Thompson; Venkatakrishna Rajajee
Journal:  Neurocrit Care       Date:  2016-04       Impact factor: 3.210

5.  Accuracy of ultrasound B-lines score and E/Ea ratio to estimate extravascular lung water and its variations in patients with acute respiratory distress syndrome.

Authors:  Benoît Bataille; Guillaume Rao; Pierre Cocquet; Michel Mora; Bruno Masson; Jean Ginot; Stein Silva; Pierre-Etienne Moussot
Journal:  J Clin Monit Comput       Date:  2014-05-13       Impact factor: 2.502

Review 6.  Lung B-line artefacts and their use.

Authors:  Christoph F Dietrich; Gebhard Mathis; Michael Blaivas; Giovanni Volpicelli; Armin Seibel; Daniel Wastl; Nathan S S Atkinson; Xin-Wu Cui; Mei Fan; Dong Yi
Journal:  J Thorac Dis       Date:  2016-06       Impact factor: 2.895

Review 7.  Imaging the Injured Lung: Mechanisms of Action and Clinical Use.

Authors:  Maurizio Cereda; Yi Xin; Alberto Goffi; Jacob Herrmann; David W Kaczka; Brian P Kavanagh; Gaetano Perchiazzi; Takeshi Yoshida; Rahim R Rizi
Journal:  Anesthesiology       Date:  2019-09       Impact factor: 7.892

8.  Quantitative Analysis and Automated Lung Ultrasound Scoring for Evaluating COVID-19 Pneumonia With Neural Networks.

Authors:  Jiangang Chen; Chao He; Jintao Yin; Jiawei Li; Xiaoqian Duan; Yucheng Cao; Li Sun; Menghan Hu; Wenfang Li; Qingli Li
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-06-29       Impact factor: 2.725

9.  Can Alveolar-Arterial Difference and Lung Ultrasound Help the Clinical Decision Making in Patients with COVID-19?

Authors:  Gianmarco Secco; Francesco Salinaro; Carlo Bellazzi; Marco La Salvia; Marzia Delorenzo; Caterina Zattera; Bruno Barcella; Flavia Resta; Giulia Vezzoni; Marco Bonzano; Giovanni Cappa; Raffaele Bruno; Ivo Casagranda; Stefano Perlini
Journal:  Diagnostics (Basel)       Date:  2021-04-23

10.  Quantitative Analysis of Pleural Line and B-Lines in Lung Ultrasound Images for Severity Assessment of COVID-19 Pneumonia.

Authors:  Yuanyuan Wang; Yao Zhang; Qiong He; Hongen Liao; Jianwen Luo
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-12-31       Impact factor: 3.267

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