Xiao R, Shao Q, Zhao N, Liu F, Qian KJ. Quantification analysis of pleural line movement for the diagnosis of pneumothorax. World J Clin Cases 2021; 9(21): 5889-5899 [PMID: 34368307 DOI: 10.12998/wjcc.v9.i21.5889]
Corresponding Author of This Article
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
Research Domain of This Article
Radiology, Nuclear Medicine & Medical Imaging
Article-Type of This Article
Observational Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
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 Processing time: 152 Days and 4.2 Hours
ARTICLE HIGHLIGHTS
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.
