Lung ultrasound in evaluating the severity of neonatal respiratory distress syndrome: Methodological issues on diagnostic value and prediction to avoid misinterpretation

Affiliations

¹ Department of Clinical Epidemiology, School of Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Safety Promotions and Injury Prevention Research Centre, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: s.sabour@sbmu.ac.ir.

Comment

Siamak Sabour. Eur J Radiol. 2019 Nov.

. 2019 Nov:120:108663.

doi: 10.1016/j.ejrad.2019.108663. Epub 2019 Sep 10.

¹ Department of Clinical Epidemiology, School of Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Safety Promotions and Injury Prevention Research Centre, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: s.sabour@sbmu.ac.ir.

No abstract available

Keywords: Diagnostic accuracy; Lung ultrasound; Mechanical ventilation; Neonatal respiratory distress syndrome; Prediction.

Comment on

Diagnostic value of lung ultrasound in evaluating the severity of neonatal respiratory distress syndrome.
Pang H, Zhang B, Shi J, Zang J, Qiu L. Pang H, et al. Eur J Radiol. 2019 Jul;116:186-191. doi: 10.1016/j.ejrad.2019.05.004. Epub 2019 May 7. Eur J Radiol. 2019. PMID: 31153563