scholarly journals Is pleural effusion in COVID-19 interstitial pneumonia related to in-hospital mortality?

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Alberto Cereda ◽  
Marco Toselli ◽  
Anna Palmisano ◽  
Riccardo Leone ◽  
Davide Vignale ◽  
...  
Keyword(s):  
Pleural Effusion ◽  
Independent Predictor ◽  
Northern Italy ◽  
Ct Scans ◽  
Respiratory Complications ◽  
Prognostic Stratification ◽  
Time Of Admission ◽  
Lung Ct ◽  
Epidemic Wave ◽  
Pulmonary Ct

The recent severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) pandemic has highlighted the importance of pulmonary computed tomography (CT) for diagnosis and prognostic stratification of this new viral pneumonia. 1370 lung CT scans (performed at the time of admission) of consecutive patients hospitalized for SARS-CoV-2 in Northern Italy during the first epidemic wave were analyzed by a radiological CoreLab. The presence of pleural effusion on pulmonary CT scan was present in 188 patients (13.3% of the population) and identified a population with more comorbidities. Patients with pleural effusion had more cardio-respiratory complications with higher mortality. Pleural effusion was an independent predictor of death on multivariate analysis with an HR of 1.4 (95% confidence interval 1-1.9). Pulmonary CT pleural effusion was an independent predictor of mortality.

scholarly journals Predictive Factors of the Responses to Treatment of Mycoplasma pneumoniae Pneumonia

2021 ◽  
Vol 10 (6) ◽  
pp. 1154
Author(s):  
Eun Lee ◽  
Yun Young Lee
Keyword(s):  
Pleural Effusion ◽  
Mycoplasma Pneumoniae ◽  
Predictive Factors ◽  
Respiratory Virus ◽  
Clinical Laboratory ◽  
Poor Response ◽  
Response To Treatment ◽  
Slow Response ◽  
Response Group ◽  
Time Of Admission

The prevalence of refractory Mycoplasma pneumoniae (MP) pneumonia is increasing. The present study aimed to identify the predictive factors of responses to treatment of MP pneumonia in children. A total of 149 children were diagnosed with MP pneumonia, of whom 56 were included in the good response group, 75 children in the slow response group, and 18 children in no response or progression group. Data on the clinical, laboratory, and radiologic features were retrospectively obtained through medical chart reviews. The severity of pneumonia, based on the extent of pneumonic lesions on chest x-ray (adjusted odds ratio (aOR), 10.573; 95% confidence intervals (CIs), 2.303−48.543), and lactate dehydrogenase (LDH) levels (aOR, 1.002; 95% CIs, 1.000–1.004) at the time of admission were associated with slow response to treatment of MP pneumonia. Pleural effusion (aOR, 5.127; 95% CIs, 1.404–18.727), respiratory virus co-infection (aOR, 4.354; 95% CIs, 1.374–13.800), and higher LDH levels (aOR, 1.005; 95% CIs, 1.002–1.007) as well as MP-specific IgM titer (aOR, 1.309; 95% CIs, 1.095–1.564) were associated with no response or progression of MP pneumonia. The area under the curve for the prediction of no or poor response in MP pneumonia using pleural effusion, respiratory virus co-infection, LDH levels, and MP-specific IgM titer at the time of admission was 0.8547. This study identified the predictive factors of responses to treatment of MP pneumonia in children, which would be helpful in establishing a therapeutic plan and predicting the clinical course of MP pneumonia in children.

scholarly journals Motion correction for routine X-ray lung CT imaging

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Doil Kim ◽  
Jiyoung Choi ◽  
Duhgoon Lee ◽  
Hyesun Kim ◽  
Jiyoung Jung ◽  
...  
Keyword(s):  
Motion Estimation ◽  
Motion Correction ◽  
Ct Imaging ◽  
Motion Artifacts ◽  
Ct Scans ◽  
Breath Hold ◽  
X Ray ◽  
Wide Range ◽  
Thorax Ct ◽  
Lung Ct

AbstractA novel motion correction algorithm for X-ray lung CT imaging has been developed recently. It was designed to perform for routine chest or thorax CT scans without gating, namely axial or helical scans with pitch around 1.0. The algorithm makes use of two conjugate partial angle reconstruction images for motion estimation via non-rigid registration which is followed by a motion compensated reconstruction. Differently from other conventional approaches, no segmentation is adopted in motion estimation. This makes motion estimation of various fine lung structures possible. The aim of this study is to explore the performance of the proposed method in correcting the lung motion artifacts which arise even under routine CT scans with breath-hold. The artifacts are known to mimic various lung diseases, so it is of great interest to address the problem. For that purpose, a moving phantom experiment and clinical study (seven cases) were conducted. We selected the entropy and positivity as figure of merits to compare the reconstructed images before and after the motion correction. Results of both phantom and clinical studies showed a statistically significant improvement by the proposed method, namely up to 53.6% (p < 0.05) and up to 35.5% (p < 0.05) improvement by means of the positivity measure, respectively. Images of the proposed method show significantly reduced motion artifacts of various lung structures such as lung parenchyma, pulmonary vessels, and airways which are prominent in FBP images. Results of two exemplary cases also showed great potential of the proposed method in correcting motion artifacts of the aorta which is known to mimic aortic dissection. Compared to other approaches, the proposed method provides an excellent performance and a fully automatic workflow. In addition, it has a great potential to handle motions in wide range of organs such as lung structures and the aorta. We expect that this would pave a way toward innovations in chest and thorax CT imaging.

Automated Detection of Small Pulmonary Nodules in Whole Lung CT Scans

2007 ◽  
Vol 14 (5) ◽  
pp. 579-593 ◽  
Author(s):  
Andinet A. Enquobahrie ◽  
Anthony P. Reeves ◽  
David F. Yankelevitz ◽  
Claudia I. Henschke
Keyword(s):  
Pulmonary Nodules ◽  
Automated Detection ◽  
Ct Scans ◽  
Small Pulmonary Nodules ◽  
Lung Ct

scholarly journals On Cancer, COVID-19, and CT Scans: A Monocentric Retrospective Study

2020 ◽  
Vol 9 (12) ◽  
pp. 3935
Author(s):  
Francesca Martini ◽  
Andrea D’Alessio ◽  
Federico Bracchi ◽  
Daniela Di Mauro ◽  
Anna Fargnoli ◽  
...  
Keyword(s):  
Severe Disease ◽  
Protective Role ◽  
Northern Italy ◽  
Chest Ct ◽  
Ct Scans ◽  
Rt Pcr ◽  
Cardiovascular Comorbidities ◽  
Oncological Patients ◽  
High Incidence

Background The use of computed tomography (CT) for coronavirus disease 2019 (COVID-19) diagnosis in an area of northern Italy with a high incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may have identified more patients with this disease than RT-PCR in the very early onset of the COVID-19 pandemic. Methods We retrospectively reviewed 148 chest CT scans of oncological patients who were referred to the Radiological Unit of Policlinico S. Marco from 1 February 2020 to 30 April 2020, during the COVID-19 outbreak in Bergamo area. In parallel, we analyzed RT-PCR tests of these 148 patients. Results Among 32 patients with a diagnosis of COVID-19, 17 patients were asymptomatic or had mild symptoms (53.1%), while 15 developed severe disease (46.8%). The incidence of SARS-CoV-2 infection was 22.9%, the mortality rate was 18.8%. We did not find any correlation between disease severity and age, sex, smoking, or cardiovascular comorbidities. Remarkably, patients who were on treatment for cancer developed a milder disease than patients who were not on treatment. Conclusions The acceptance of CT-defined diagnoses in COVID-19 high-incidence areas like Bergamo region highlighted a larger oncological population affected by COVID-19 than RT-PCR, in particular, asymptomatic and mildly symptomatic patients, because only symptomatic patients underwent nasopharyngeal swabbing at the onset of the COVID-19 pandemic. We observed that patients actively treated for their cancer had a milder disease, in agreement with previous studies that suggested a protective role of immunosuppression. Admittedly, the sample of patients in our study was heterogeneous regarding the oncological disease, their prognosis, and the type of treatment; therefore, other studies are needed to confirm our data.

scholarly journals Quantitative Computerized Two-Point Correlation Analysis of Lung CT Scans Correlates With Pulmonary Function in Pulmonary Sarcoidosis

CHEST Journal ◽  
2012 ◽  
Vol 142 (6) ◽  
pp. 1589-1597 ◽  
Author(s):  
Barbaros Selnur Erdal ◽  
Elliott D. Crouser ◽  
Vedat Yildiz ◽  
Mark A. King ◽  
Andrew T. Patterson ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Pulmonary Function ◽  
Pulmonary Sarcoidosis ◽  
Ct Scans ◽  
Point Correlation ◽  
Lung Ct

Early ischemic lesion on computed tomography: predictor of poor outcome among survivors of aneurysmal subarachnoid hemorrhage

2007 ◽  
Vol 107 (6) ◽  
pp. 1074-1079 ◽  
Author(s):  
Jari Siironen ◽  
Matti Porras ◽  
Joona Varis ◽  
Kristiina Poussa ◽  
Juha Hernesniemi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Subarachnoid Hemorrhage ◽  
Independent Predictor ◽  
Aneurysmal Subarachnoid Hemorrhage ◽  
Ct Scans ◽  
Ischemic Lesion ◽  
Poor Outcome ◽  
Serial Ct ◽  
Early Lesion

Object Identifying ischemic lesions after subarachnoid hemorrhage (SAH) is important because the appearance of these lesions on follow-up imaging correlates with a poor outcome. The effect of ischemic lesions seen on computed tomography (CT) scans during the first days of treatment remains unknown, however. Methods In 156 patients with SAH, clinical course and outcome, as well as the appearance of ischemic lesions on serial CT scans, were prospectively monitored for 3 months. At 3 months after SAH, magnetic resonance imaging was performed to detect permanent lesions that had not been visible on CT. Results Of the 53 patients with no lesions on any of the follow-up CT scans, four (8%) had a poor outcome. Of the 52 patients with a new hypodense lesion on the first postoperative day CT, 23 (44%) had a poor outcome. Among the remaining 51 patients with a lesion appearing later than the first postoperative morning, 10 (20%) had a poor outcome (p < 0.001). After adjusting for patient age; clinical condition on admission; amounts of subarachnoid, intracerebral, and intraventricular blood; and plasma glucose and D-dimer levels, a hypodense lesion on CT on the first postoperative morning was an independent predictor of poor outcome after SAH (odds ratio 7.27, 95% confidence interval 1.54–34.37, p < 0.05). Conclusions A new hypodense lesion on early postoperative CT seems to be an independent risk factor for poor outcome after SAH, and this early lesion development may be more detrimental to clinical outcome than a later lesion occurrence.

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