Voxel-wise assessment of lung aeration changes on CT images using image registration: application to acute respiratory distress syndrome (ARDS)

2019 ◽  
Vol 14 (11) ◽  
pp. 1945-1953
Author(s):  
Maciej Orkisz ◽  
Alfredo Morales Pinzón ◽  
Jean-Christophe Richard ◽  
Claude Guérin ◽  
Leslie Evelyn Solórzano Vargas ◽  
...  
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Image Registration ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Ct Images ◽  
Lung Aeration

scholarly journals Lung aeration in experimental malaria-associated acute respiratory distress syndrome by SPECT/CT analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0233864
Author(s):  
Thatyane de Castro Quirino ◽  
Luana dos Santos Ortolan ◽  
Michelle Klein Sercundes ◽  
Claudio Romero Farias Marinho ◽  
Walter Miguel Turato ◽  
...  
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Lung Aeration ◽  
Ct Analysis

scholarly journals Lung ultrasound predicts acute respiratory distress syndrome in patients with paraquat intoxication

2017 ◽  
Vol 24 (6) ◽  
pp. 275-281 ◽  
Author(s):  
Xiao Lu ◽  
DingQian Wu ◽  
YuZhi Gao ◽  
Mao Zhang
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Organ Failure ◽  
Distress Syndrome ◽  
Lung Ultrasound ◽  
Lung Aeration ◽  
Failure Assessment ◽  
Ultrasound Score ◽  
The Impact

Objective: We assessed the evolution of lung aeration by “Lung Ultrasound Score” to predict the acute respiratory distress syndrome in patients with paraquat intoxication. Methods: Patients with paraquat intoxication treated in the intensive care unit were reviewed. Patients who had been assessed by transthoracic lung ultrasound at 3 time points as day 1, day 3, and day 7 after the treatment were analyzed. Lung aeration was represented by the lung ultrasound score. The relationship of the score with the development of acute respiratory distress syndrome was evaluated. Results: There were 50 patients included. On day 7, 18 patients developed the acute respiratory distress syndrome. The acute respiratory distress syndrome patients demonstrated a higher mortality rate than that for the non-acute respiratory distress syndrome patients (88.9% vs 31.5%, p < 0.001). In addition, the acute respiratory distress syndrome patients not only had a higher creatinine level (p < 0.001), and Sepsis-related Organ Failure Assessment 48-h scores (p < 0.001), and a longer time to gastric lavage but also suffered from a lower PaO2/FiO2 (p < 0.001) and a higher lung ultrasound score (p < 0.001) compared to those in the non-acute respiratory distress syndrome patients. The decrease in PaO2/FiO2 between day 3 and day 7 correlated with the increase in lung ultrasound score between day 3 and day 7. There was also a significant correlation between the Sepsis-related Organ Failure Assessment score and lung ultrasound score in acute respiratory distress syndrome patient on day 7. Conclusion: The transthoracic lung ultrasound may be a useful tool for lung aeration assessment on patients with paraquat intoxication receiving treatment. Further studies are needed to evaluate the impact of this screening strategy on predicting acute respiratory distress syndrome.

scholarly journals Assessment of Lung Aeration and Recruitment by CT Scan and Ultrasound in Acute Respiratory Distress Syndrome Patients*

2018 ◽  
Vol 46 (11) ◽  
pp. 1761-1768 ◽  
Author(s):  
Davide Chiumello ◽  
Silvia Mongodi ◽  
Ilaria Algieri ◽  
Giordano Luca Vergani ◽  
Anita Orlando ◽  
...  
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Ct Scan ◽  
Distress Syndrome ◽  
Lung Aeration

scholarly journals Reversible Bronchiectasis in COVID-19 Survivors With Acute Respiratory Distress Syndrome: Pseudobronchiectasis

2021 ◽  
Vol 8 ◽  
Author(s):  
Qiongjie Hu ◽  
Yiwen Liu ◽  
Chong Chen ◽  
Ziyan Sun ◽  
Yujin Wang ◽  
...  
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Ct Images ◽  
Group I ◽  
Long Term Follow Up ◽  
Group Ii ◽  
Traction Bronchiectasis

To retrospectively analyze whether traction bronchiectasis was reversible in coronavirus disease 2019 (COVID-19) survivors with acute respiratory distress syndrome (ARDS), and whether computed tomography (CT) findings were associated with the reversibility, 41 COVID-19 survivors with ARDS were followed-up for more than 4 months. Demographics, clinical data, and all chest CT images were collected. The follow-up CT images were compared with the previous CT scans. There were 28 (68%) patients with traction bronchiectasis (Group I) and 13 (32%) patients without traction bronchiectasis (Group II) on CT images. Traction bronchiectasis disappeared completely in 21 of the 28 (75%) patients (Group IA), but did not completely disappear in seven of the 28 (25%) patients (Group IB). In the second week after onset, the evaluation score on CT images in Group I was significantly higher than that in Group II (p = 0.001). The proportion of reticulation on the last CT images in Group IB was found higher than that in Group IA (p &lt; 0.05). COVID-19 survivors with ARDS might develop traction bronchiectasis, which can be absorbed completely in most patients. Traction bronchiectasis in a few patients did not disappear completely, but bronchiectasis was significantly relieved. The long-term follow-up is necessary to further assess whether traction bronchiectasis represents irreversible fibrosis.

scholarly journals Dynamics of regional lung aeration determined by electrical impedance tomography in patients with acute respiratory distress syndrome

2012 ◽  
Vol 7 ◽  
Author(s):  
Sven Pulletz ◽  
Matthias Kott ◽  
Gunnar Elke ◽  
Dirk Schädler ◽  
Barbara Vogt ◽  
...  
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Distress Syndrome ◽  
Impedance Tomography ◽  
Time Constants ◽  
Lung Aeration ◽  
Regional Lung

Background: Lung tissue of patients with acute respiratory distress syndrome (ARDS) is heterogeneously damaged and prone to develop atelectasis. During inflation, atelectatic regions may exhibit alveolar recruitment accompanied by prolonged filling with air in contrast to regions with already open alveoli with a fast increase in regional aeration. During deflation, derecruitment of injured regions is possible with ongoing loss in regional aeration. The aim of our study was to assess the dynamics of regional lung aeration in mechanically ventilated patients with ARDS and its dependency on positive end-expiratory pressure (PEEP) using electrical impedance tomography (EIT). Methods: Twelve lung healthy and twenty ARDS patients were examined by EIT during sustained step increases in airway pressure from 0, 8 and 15 cm H2O to 35 cm H2O and during subsequent step decrease to the corresponding PEEP. Regional EIT waveforms in the ventral and dorsal lung regions were fitted to bi-exponential equations. Regional fast and slow respiratory time constants and the sizes of the fast and slow compartments were subsequently calculated. Results: ARDS patients exhibited significantly lower fast and slow time constants than the lung healthy patients in ventral and dorsal regions. The time constants were significantly affected by PEEP and differed between the regions. The size of the fast compartment was significantly lower in ARDS patients than in patients with healthy lung under all studied conditions. Conclusion: These results show that regional lung mechanics can be assessed by EIT. They reflect the lower respiratory system compliance of injured lungs and imply more pronounced regional recruitment and derecruitment in ARDS patients.

scholarly journals Classification Algorithm-Based CT Imaging in Diagnosis of Acute Respiratory Distress Syndrome and Analysis of Pathogenic Factors

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Liang Chen ◽  
Qiong Li
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Ct Images ◽  
Ct Imaging ◽  
Apache Ii ◽  
Left Ventricular Ejection ◽  
Pathogenic Factors ◽  
Significant Difference

The study focused on the application value of classification algorithms in processing CT images of acute respiratory distress syndrome (ARDS) and aimed to analyze the pathogenic factors of ARDS. A total of 60 ARDS patients in hospital were selected, and they were divided into ARDS group (38 cases) and non-ARDS group (22 cases) as per diagnostic criteria. There was no significant difference in general data between the two groups ( P > 0.05 ). The FWAC algorithm was introduced into CT imaging to classify the image data more accurately. The two groups were compared for the left ventricular ejection fraction (LVEF), oxygenation index PaO2/FiO2 (P/F), Acute Physiology and Chronic Health Evaluation (APACHE II) scores, pH, and PaO2. The results showed that the PaO2, P/F, and APACHE II scores of the two groups were not statistically significant ( P > 0.05 ). The P/F of the ARDS group was 136.12, and that of the non-ARDS group was 143.04; the APACHE II score of the ARDS group was 40.1, and that of the non-ARDS group was 62.3, showing no significant difference ( P > 0.05 ); the LVEF of the ARDS group was 58.14, and that of the non-ARDS group was 46.26, showing statistically significant differences ( P > 0.05 ). When the minimum support was 0.3 and the minimum confidence was 0.5, the value of Recurrence was 0.7082 and the value of Diagnosis was 0.968. The rules generated by the FWAC algorithm can accurately predict the category and were consistent with the expected results. The accuracy of this algorithm was as high as 98.7%, which was significantly higher than that of the conventional CT imaging (88.4%). The rules generated by FWAC were more accurate, assisting doctors in the prevention and diagnosis of ARDS disease. Premature delivery and asphyxia are high-risk factors of ARDS. In conclusion, the FWAC algorithm has a good classification ability of the CT images of ARDS and demonstrates high accuracy.

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