Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Advance Diagnostic of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray Analysis

Tijana Prodanovic
ORCID logo ,
Suzana Petrovic Savic
,
Nikola Prodanovic
* ORCID logo ,
Aleksandra Simovic
,
Suzana Zivojinovic
,
Jelena Cekovic Djordjevic
,
Dragana Savic
Version 1 : Received: 30 November 2023 / Approved: 1 December 2023 / Online: 1 December 2023 (04:59:28 CET)

A peer-reviewed article of this Preprint also exists.

Prodanovic, T.; Petrovic Savic, S.; Prodanovic, N.; Simovic, A.; Zivojinovic, S.; Djordjevic, J.C.; Savic, D. Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray Analysis. Diagnostics 2024, 14, 214. Prodanovic, T.; Petrovic Savic, S.; Prodanovic, N.; Simovic, A.; Zivojinovic, S.; Djordjevic, J.C.; Savic, D. Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray Analysis. Diagnostics 2024, 14, 214.

Abstract

This research addresses the respiratory distress syndrome (RDS) in preterm newborns, caused by insufficient surfactant synthesis, which can lead to serious complications, including pneumothorax, pulmonary hypertension, and pulmonary hemorrhage, increasing the risk of a fatal outcome. By analyzing chest radiographs and blood gases, we specifically focus on the significant contributions of these parameters to the diagnosis and analysis of the recovery of patients with RDS. The study involved 32 preterm newborns, and the analysis of gas parameters before and after the administration of surfactants and inhalation corticosteroid therapy revealed statistically significant changes in values of parameters such as FiO2, pH, pCO2, HCO3 and BE (Sig.<0.05), ehile the pO2 parameter showed a potential change (Sig.=0.061). Parallel to this, the research emphasizes the development of a lung segmentation algorithm implemented in the MATLAB programming environment. The key steps of the algorithm include preprocessing, segmentation, and visualization for a more detailed understanding of the recovery dynamics after RDS. These algorithms have achieved promising results, with a global accuracy of 0.93±0.06, precision 0.81±0.16 and an F-score of 0.82±0.14. These results highlight the potential application of algorithms in the analysis and monitoring of recovery in newborns with RDS, also underscoring the need for further development of software solutions in medicine, particularly in neonatology, to enhance the diagnosis and treatment of preterm newborns with respiratory distress syndrome.

Keywords

Respiratory Distress Syndrome; Chest X-ray; Diagnostics; Image Segmentation; Performance Evaluation

Subject

Medicine and Pharmacology, Pediatrics, Perinatology and Child Health

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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