Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray Analysis
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 che...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/14/2/214 |
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| author | Tijana Prodanovic Suzana Petrovic Savic Nikola Prodanovic Aleksandra Simovic Suzana Zivojinovic Jelena Cekovic Djordjevic Dragana Savic |
| author_facet | Tijana Prodanovic Suzana Petrovic Savic Nikola Prodanovic Aleksandra Simovic Suzana Zivojinovic Jelena Cekovic Djordjevic Dragana Savic |
| author_sort | Tijana Prodanovic |
| collection | DOAJ |
| description | 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 FiO<sub>2</sub>, pH, pCO<sub>2</sub>, HCO<sub>3</sub>, and BE (Sig. < 0.05), while the pO<sub>2</sub> 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 of 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. |
| first_indexed | 2024-03-08T11:00:31Z |
| format | Article |
| id | doaj.art-c6fbcce3c2b345dfaa6c918233fb1be4 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-08T11:00:31Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-c6fbcce3c2b345dfaa6c918233fb1be42024-01-26T16:01:59ZengMDPI AGDiagnostics2075-44182024-01-0114221410.3390/diagnostics14020214Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray AnalysisTijana Prodanovic0Suzana Petrovic Savic1Nikola Prodanovic2Aleksandra Simovic3Suzana Zivojinovic4Jelena Cekovic Djordjevic5Dragana Savic6Department of Pediatrics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, SerbiaDepartment for Production Engineering, Faculty of Engineering, University of Kragujevac, Sestre Janjic 6, 34000 Kragujevac, SerbiaDepartment of Surgery, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, SerbiaDepartment of Pediatrics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, SerbiaDepartment of Pediatrics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, SerbiaDepartment of Pediatrics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, SerbiaDepartment of Pediatrics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, SerbiaThis 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 FiO<sub>2</sub>, pH, pCO<sub>2</sub>, HCO<sub>3</sub>, and BE (Sig. < 0.05), while the pO<sub>2</sub> 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 of 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.https://www.mdpi.com/2075-4418/14/2/214respiratory distress syndromechest X-raydiagnosticsimage segmentationperformance evaluation |
| spellingShingle | Tijana Prodanovic Suzana Petrovic Savic Nikola Prodanovic Aleksandra Simovic Suzana Zivojinovic Jelena Cekovic Djordjevic Dragana Savic Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray Analysis Diagnostics respiratory distress syndrome chest X-ray diagnostics image segmentation performance evaluation |
| title | Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray Analysis |
| title_full | Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray Analysis |
| title_fullStr | Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray Analysis |
| title_full_unstemmed | Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray Analysis |
| title_short | Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray Analysis |
| title_sort | advanced diagnostics of respiratory distress syndrome in premature infants treated with surfactant and budesonide through computer assisted chest x ray analysis |
| topic | respiratory distress syndrome chest X-ray diagnostics image segmentation performance evaluation |
| url | https://www.mdpi.com/2075-4418/14/2/214 |
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