ArticleJournal of clinical monitoring and computing2022
Second-order grey-scale texture analysis of pleural ultrasound images to differentiate acute respiratory distress syndrome and cardiogenic pulmonary edema.
Article in Journal of clinical monitoring and computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05789953 (PrEventing PostoPERative Pulmonary Complications by Establishing a MachINe-learning assisTed Approach), which is not on this map. Cited by 15 papers.
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PrEventing PostoPERative Pulmonary Complications by Establishing a MachINe-learning assisTed Approach
Who cites it
15 citing papers in PubMed.
- The predictive value of different lung ultrasound protocols for extravascular lung water in septic shock patients.The ultrasound journal · 2026Article
- Computer-assisted analysis of pleural and subpleural lung ultrasound correlates with oxygenation in preterm infants.Scientific reports · 2026Article
- Article
- Echo-intensity characterization at implant sites and novel diagnostic ultrasonographic markers for peri-implantitis.Journal of clinical periodontology · 2024Article
- Ultrasound imaging of lung disease and its relationship to histopathology: An experimentally validated simulation approach.The Journal of the Acoustical Society of America · 2023Article
- Echo intensity and gray-level co-occurrence matrix analysis of soft tissue grafting biomaterials and dental implants: anDento maxillo facial radiology · 2023Article
- Lung Ultrasound Prediction Model for Acute Respiratory Distress Syndrome: A Multicenter Prospective Observational Study.American journal of respiratory and critical care medicine · 2023Observational
- Lung Ultrasound in Critical Care and Emergency Medicine: Clinical Review.Advances in respiratory medicine · 2023Review
- State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses.Ultrasound in medicine & biology · 2022Review
- Thoracic UltrasONOgraphy Reporting: The TUONO Study.Journal of clinical medicine · 2022Article
- Increased diaphragm echodensity correlates with postoperative pulmonary complications in patients after major abdominal surgery: a prospective observational study.BMC pulmonary medicine · 2022Observational
- Head to toe ultrasound: a narrative review of experts' recommendations of methodological approaches.Journal of anesthesia, analgesia and critical care · 2022Review
- Imaging the acute respiratory distress syndrome: past, present and future.Intensive care medicine · 2022Review
- Lung aeration, ventilation, and perfusion imaging.Current opinion in critical care · 2022Review
- Paediatrics: how to manage acute respiratory distress syndrome.Drugs in context · 2021Review
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Discriminating acute respiratory distress syndrome (ARDS) from acute cardiogenic pulmonary edema (CPE) may be challenging in critically ill patients. Aim of this study was to investigate if gray-level co-occurrence matrix (GLCM) analysis of lung ultrasound (LUS) images can differentiate ARDS from CPE. The study population consisted of critically ill patients admitted to intensive care unit (ICU) with acute respiratory failure and submitted to LUS and extravascular lung water monitoring, and of a healthy control group (HCG). A digital analysis of pleural line and subpleural space, based on the GLCM with second order statistical texture analysis, was tested. We prospectively evaluated 47 subjects: 16 with a clinical diagnosis of CPE, 8 of ARDS, and 23 healthy subjects. By comparing ARDS and CPE patients' subgroups with HCG, the one-way ANOVA models found a statistical significance in 9 out of 11 GLCM textural features. Post-hoc pairwise comparisons found statistical significance within each matrix feature for ARDS vs. CPE and CPE vs. HCG (P ≤ 0.001 for all). For ARDS vs. HCG a statistical significance occurred only in two matrix features (correlation: P = 0.005; homogeneity: P = 0.048). The quantitative method proposed has shown high diagnostic accuracy in differentiating normal lung from ARDS or CPE, and good diagnostic accuracy in differentiating CPE and ARDS. Gray-level co-occurrence matrix analysis of LUS images has the potential to aid pulmonary edemas differential diagnosis.
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