scholarly journals Accuracy of the pressure-volume curve method compared to quantitative lung CT scan to assess the recruitable lung in patients with acute respiratory failure

Critical Care ◽  
2012 ◽  
Vol 16 (S1) ◽  
Author(s):  
D Chiumello ◽  
A Marino ◽  
I Cigada ◽  
F Menga ◽  
M Brioni ◽  
...  
Author(s):  
Alexandru Cupaciu ◽  
Vladimir Cohen ◽  
Emmanuel Dudoignon ◽  
François Dépret

We report the case of a patient with severe COVID-19 ARDS, suggesting a possible therapeutic intervention by applying a continuous lower abdominal compression. In order to assess ventilation distribution, a lung CT scan was performed with and without lower abdominal compression.


1989 ◽  
Vol 19 (4) ◽  
pp. 413-421 ◽  
Author(s):  
R. van den Driessche

The influences of temperature and photoperiod on osmotic potential (ψπ) at full turgor (ψπSAT) of container-grown Douglas-fir (Pseudotsugamenziesii (Mirb.) Franco) seedlings, which had completed one growing season, were examined in four experiments. Osmotic potential was measured cryoscopically on expressed sap and also by the pressure volume curve method in experiment 4. In experiment 1, started in January when ψπSAT was low, seedlings exposed to 25 °C for 5 weeks showed an increase in ψπSAT of 0.48 MPa compared with seedlings held at 8 °C, which showed little increase. There were no differences in ψπSAT between 8- and 16-h photoperiods. In experiment 2, started in September when ψπSAT was relatively high, seedlings of interior origin showed decreases in ψπSAT at 8 °C under an 8-h photoperiod (0.55 MPa) and at 25 °C under a 16-h photoperiod (0.69 MPa). Relatively little decrease in ψπSAT occurred in interior seedlings at 8 °C under a 16-h photoperiod. Coastal seedlings showed no decrease in ψπSAT in this experiment. In experiment 3, seedlings were exposed to 1 and 8 °C under an 8-h photoperiod, but at lower irradiance levels (85 μE•m−2•s−1) than those used in the other experiments (340 μE•m−2•s−1). Starting at values of about −1.9 MPa in October, ψπSAT decreased, on average, for coastal and interior seedlings by 0.76 MPa at 1 °C and 0.42 MPa at 8 °C over 6 weeks. Values for coastal seedlings decreased less (0.36 MPa) than those for interior seedlings (0.83 MPa). In experiment 4, seedlings were maintained under ambient conditions outdoors (mean temperatures of 5 °C day and 3 °C night), or at 12 or 25 °C under a 10-h photoperiod, in January and February. After 5 weeks of treatment, ψπSAT at 25 °C was 0.50 MPa, measured cryoscopically, or 0.80 MPa, measured by the pressure-volume method, higher than for seedlings under ambient conditions. At the turgor loss point (ψπSAT), ψπ was 1.36 MPa higher at 25 °C than at ambient temperature. The increase in ψπSAT at the beginning of the season and the reduction of ψπSAT at the end of the season were therefore dependent on temperature, but an interaction of photoperiod with temperature was observed in September. Index of injury values, calculated from leakage of electrolytes from drought-stressed needles and stems, showed a linear relationship to moisture stress between − 10 and − 2 MPa xylem water potential. In experiment 4, needle and stem index of injury values increased with increase in temperature, as did ψπSAT and ψπTLP values, tending to confirm that information about drought tolerance can be obtained by either method.


2021 ◽  
Author(s):  
Abdel-Ellah Al-Shudifat ◽  
Ali Al-Radaideh ◽  
Shatha Hammad ◽  
Nawal Hijjawi ◽  
Shaden Abu- Baker ◽  
...  

Abstract COVID-19 spread quickly in Jordan in the past few months. Many changes have been observed in lungs of COVID-19 patients which required their hospitalization. So far, many studies have been conducted on the epidemiological features of COVID-19 illness; however, the evidence regarding the pathological influence on lungs is still lacking. Therefore, the main aim of the present study was to detect the possible association between lung computed tomography (CT) findings in COVID-19 and patients' age, body weight, vital sings, and medical regimen. The present cross-sectional study enrolled 230 COVID-19 patients in Prince Hamza Hospital in Jordan. Demographic data as well as major lung CT scan changes were obtained from the hospital records of the COVID-19 patients. The main observed major lung changes among the enrolled COVID-19 patients included ground glass opacification in 47(15.2%) patients and consolidation in 22(7.1%) patients. The higher percentage of patients with major lung changes (24%) was observed among patients above 60 years old, while (50%) of patients with no changes in their lung’s findings in the age group of 18-29 years old. Results obtained from the present study showed that only patients with major CT lung changes (9.7%) were prescribed more than three antibiotics. Additionally, 41.6 % patients with major lung CT scan changes had either dry (31.0%) or productive (10.6%) cough at the admission. Several predictors of lung CT scan changes have been detected in this study including age, BMI, medications, severity of symptoms, and cough at admission.


2020 ◽  
Author(s):  
Younes Akbari ◽  
Hanadi Hassen ◽  
Somaya Al-maadeed ◽  
Susu M. Zughaier

Abstract Pneumonia is a lung infection threaten that threats all age groups. In this paper, using CT scans images, we used active contour models to evaluate and determine pneumonia infection caused by the Coronavirus disease (COVID-19). A background of active contour models (ACM) including contour representation and object boundary description methods is presented. The focus of this paper is on the conducted works based on the external forces. These methods include edge-based and region-based methods. Furthermore, the explanations of these methods, as well as the advantages and disadvantages of each method are presented. Finally, a comparison between the performances of the conducted works has been done based on a database of Lung CT Scan Images. The present review helps readers identify research starting points in active contour models on COVID19 research, which is a high priority topic to guide researchers and practitioners. In addition, when there are not enough images to use machine learning techniques, such as deep learning methods, the experimental results indicate that active contour methods obtain promising results.


2016 ◽  
Vol 5 (3) ◽  
pp. 306-312 ◽  
Author(s):  
Payam Mehrian ◽  
Amin Momeni Moghaddam ◽  
Elham Tavakkol ◽  
Afshin Amini ◽  
Mehrdad Moghimi ◽  
...  
Keyword(s):  
Ct Scan ◽  
Lung Ct ◽  

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