Observational Study
Copyright ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jul 26, 2021; 9(21): 5889-5899
Published online Jul 26, 2021. doi: 10.12998/wjcc.v9.i21.5889
Quantification analysis of pleural line movement for the diagnosis of pneumothorax
Rui Xiao, Qiang Shao, Ning Zhao, Fen Liu, Ke-Jian Qian
Rui Xiao, Qiang Shao, Ning Zhao, Fen Liu, Ke-Jian Qian, Department of Intensive Care Medicine, First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China
Author contributions: Xiao R and Qian KJ were the guarantors and designed the study; Xiao R and Zhao N participated in the acquisition, analysis, and interpretation of the data, and drafted the initial manuscript; Shao Q and Liu F revised the manuscript.
Institutional review board statement: This study was approved by the Ethics Committee of the First Affiliated Hospital of Nanchang University.
Informed consent statement: Written consent was obtained from all subjects.
Conflict-of-interest statement: The authors have no conflicts of interest to disclose.
Data sharing statement: The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
STROBE statement: The authors have read the STROBE Statement, and the manuscript was prepared and revised according to the STROBE Statement.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Ke-Jian Qian, MD, PhD, Full Professor, Department of Intensive Care Medicine, First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Road, Nanchang 330006, Jiangxi Province, China. ndyfyicu@email.ncu.edu.cn
Received: February 19, 2021
Peer-review started: February 19, 2021
First decision: March 11, 2021
Revised: March 19, 2021
Accepted: June 1, 2021
Article in press: June 1, 2021
Published online: July 26, 2021
Research background

The criteria for pneumothorax using ultrasound is usually based on qualitative methodologies.

Research motivation

Tissue Doppler imaging (TDI) technology might discriminate pneumothorax by quantifying pleural line movement. Based on that, pneumothorax might be diagnosed in an objective way.

Research objectives

TDI can quantify pleural line movement while diagnosing pneumothorax.

Research methods

Forty-five patients with unilateral pneumothorax were recruited. The pneumothorax side and contralateral normal lung side were then compared using several indices extracted from TDI, such as peak pleural line velocity (PVmax), peak chest wall tissue velocity (CVmax), peak pleural line strain value (PSmax), peak chest wall tissue strain value, PVmax/CVmax, and PSmax/peak chest wall tissue strain value. Receiver operating characteristic analysis was used to evaluate the performance of these quantitative assessments for pneumothorax diagnosis.

Research results

PVmax, PSmax, PVmax/CVmax, PSmax/peak chest wall tissue strain value obtained on the pneumothorax side were lower than those on the non-pneumothorax side. The PVmax/CVmax was the best index for the detection of pneumothorax with an area under receiver operating characteristic curve of 0.99.

Research conclusions

Therefore, we concluded that TDI is an effective tool for the diagnosis of pneumothorax.

Research perspectives

Further research is required to validate our findings in suspected cases.