scholarly journals Prognostic value of chest computed tomography in community-acquired pneumonia patients

2020 ◽  
Vol 6 (4) ◽  
pp. 00079-2020
Author(s):  
Masahiro Nemoto ◽  
Kei Nakashima ◽  
Satoshi Noma ◽  
Yuya Matsue ◽  
Kazuki Yoshida ◽  
...  
Keyword(s):  
Heart Failure ◽  
Computed Tomography ◽  
Chronic Heart Failure ◽  
Chest Radiography ◽  
Predictive Value ◽  
Prognostic Value ◽  
Community Acquired Pneumonia ◽  
Chest Ct ◽  
Physical Status ◽  
Chest Computed Tomography

BackgroundChest computed tomography (CT) is commonly used to diagnose pneumonia in Japan, but its usability in terms of prognostic predictability is not obvious. We modified CURB-65 (confusion, urea >7 mmol·L−1, respiratory rate ≥30 breaths·min−1, blood pressure <90 mmHg (systolic) ≤60 mmHg (diastolic), age ≥65 years) and A-DROP scores with CT information and evaluated their ability to predict mortality in community-acquired pneumonia patients.MethodsThis study was conducted using a prospective registry of the Adult Pneumonia Study Group – Japan. Of the 791 registry patients, 265 hospitalised patients with chest CT were evaluated. Chest CT-modified CURB-65 scores were developed with the first 30 study patients. The 30-day mortality predictability of CT-modified, chest radiography-modified and original CURB-65 scores were validated.ResultsIn score development, infiltrates over four lobes and pleural effusion on CT added extra points to CURB-65 scores. The area under the curve for CT-modified CURB-65 scores was significantly higher than that of chest radiography-modified or original CURB-65 scores (both p<0.001). The optimal cut-off CT-modified CURB-65 score was ≥4 (positive-predictive value 80.8%; negative-predictive value 78.6%, for 30-day mortality). For sensitivity analyses, chest CT-modified A-DROP scores also demonstrated better prognostic value than did chest radiography-modified and original A-DROP scores. Poor physical status, chronic heart failure and multiple infiltration hampered chest radiography evaluation.ConclusionChest CT modification of CURB-65 or A-DROP scores improved the prognostic predictability relative to the unmodified scores. In particular, in patients with poor physical status or chronic heart failure, CT findings have a significant advantage. Therefore, CT can be used to enhance prognosis prediction.

scholarly journals Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Ilker Ozsahin ◽  
Boran Sekeroglu ◽  
Musa Sani Musa ◽  
Mubarak Taiwo Mustapha ◽  
Dilber Uzun Ozsahin
Keyword(s):  
Artificial Intelligence ◽  
Computed Tomography ◽  
Neural Networks ◽  
Deep Learning ◽  
Chest Radiography ◽  
Area Under The Curve ◽  
Chest Ct ◽  
Chest Computed Tomography ◽  
Classification Tasks ◽  
Sensitivity Specificity

The COVID-19 diagnostic approach is mainly divided into two broad categories, a laboratory-based and chest radiography approach. The last few months have witnessed a rapid increase in the number of studies use artificial intelligence (AI) techniques to diagnose COVID-19 with chest computed tomography (CT). In this study, we review the diagnosis of COVID-19 by using chest CT toward AI. We searched ArXiv, MedRxiv, and Google Scholar using the terms “deep learning”, “neural networks”, “COVID-19”, and “chest CT”. At the time of writing (August 24, 2020), there have been nearly 100 studies and 30 studies among them were selected for this review. We categorized the studies based on the classification tasks: COVID-19/normal, COVID-19/non-COVID-19, COVID-19/non-COVID-19 pneumonia, and severity. The sensitivity, specificity, precision, accuracy, area under the curve, and F1 score results were reported as high as 100%, 100%, 99.62, 99.87%, 100%, and 99.5%, respectively. However, the presented results should be carefully compared due to the different degrees of difficulty of different classification tasks.

scholarly journals Chest computed tomography and chest X-ray in the diagnosis of community-acquired pneumonia: a retrospective observational study

2021 ◽  
Vol 49 (8) ◽  
pp. 030006052110397
Author(s):  
Dima Ibrahim ◽  
Abdul Rahman Bizri ◽  
Mohammad Ali El Amine ◽  
Zeina Halabi
Keyword(s):  
Computed Tomography ◽  
Medical Records ◽  
Community Acquired Pneumonia ◽  
Chest Ct ◽  
Chest Computed Tomography ◽  
X Ray ◽  
Combined Use ◽  
Chest X Ray ◽  
Large Benefit ◽  
The Impact

Objectives To compare the yield of early combined use of chest X-ray (CXR) and chest computed tomography (CT) in patients diagnosed with community-acquired pneumonia (CAP) presenting to the emergency department (ED) and assess the impact of chest CT on the initial diagnosis. Methods The medical records of 900 patients who presented to the ED and were diagnosed with CAP over a 1-year period were reviewed, and 130 patients who underwent CXR and chest CT within 48 hours were selected. CXR findings were classified as positive, negative, or inconclusive for CAP. Chest CT findings were defined as positive, negative, inconclusive, or positive with add-on to the CXR findings. CT was classified as having no benefit, large benefit, or moderate benefit based on the chest CT and CXR findings. Results Chest CT results were positive in 90.7% of patients, with 41.5% being newly diagnosed after negative or inconclusive CXR and 21.5% being diagnosed with add-on to the CXR findings. CT had large, moderate, and no benefit over CXR in diagnosing or excluding CAP in 45.3%, 21.5%, and 33.1% of patients, respectively. Conclusion Early chest CT may be used to compliment CXR in the early diagnosis of CAP among patients in the ED.

674 Prognostic value of androgens in male patients with chronic heart failure

2007 ◽  
Vol 6 (1) ◽  
pp. 146-147
Author(s):  
S STOERK ◽  
G GUEDER ◽  
S FRANTZ ◽  
J BAUERSACHS ◽  
D WEISMANN ◽  
...  
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Prognostic Value ◽  
Male Patients

scholarly journals Long-Term and Short-Term Prognostic Value of Circulating Soluble Suppression of Tumorigenicity-2 Concentration in Chronic Heart Failure: A Systematic Review and Meta-Analysis

Cardiology ◽  
2021 ◽  
pp. 1-8
Author(s):  
Guoqi Dong ◽  
Hao Chen ◽  
Hongru Zhang ◽  
Yihuang Gu
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Prognostic Value ◽  
Web Of Science ◽  
Meta Analysis ◽  
Short Term ◽  
Prisma Statement ◽  
All Cause Mortality ◽  
Increasing Risk

<b><i>Introduction:</i></b> Soluble suppression of tumorigenicity-2 (sST2) has been considered as a prognostic factor of cardiovascular disease. However, the prognostic value of sST2 concentration in chronic heart failure remains to be summarized. <b><i>Methods:</i></b> We searched PubMed, Embase, and Web of Science for eligible studies up to January 1, 2020. Data extracted from articles and provided by authors were used in agreement with the PRISMA statement. The endpoints were all-cause mortality (ACM), cardiovascular mortality (CVM)/heart failure-related hospitalization (HFH), and all-cause mortality (ACM)/heart failure-related readmission (HFR). <b><i>Results:</i></b> A total of 11 studies with 5,121 participants were included in this analysis. Higher concentration of sST2 predicted the incidence of long-term ACM (hazard ratio [HR]: 1.03, 95% confidence interval [CI]: 1.02–1.04), long-term ACM/HFR (HR: 1.42, CI: 1.27–1.59), and long-term CVM/HFH (HR: 2.25, CI: 1.82–2.79), regardless of short-term ACM/HFR (HR: 2.31, CI: 0.71–7.49). <b><i>Conclusion:</i></b> Higher sST2 concentration at baseline is associated with increasing risk of long-term ACM, ACM/HFR, and CVM/HFH and can be a tool for the prognosis of chronic heart failure.

scholarly journals Correlation between age, sex, and severity of Coronavirus disease-19 based on chest computed tomography severity scoring system

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Shimaa Farghaly ◽  
Marwa Makboul
Keyword(s):  
Computed Tomography ◽  
Scoring System ◽  
Fatal Outcome ◽  
Age Groups ◽  
Significant Risk ◽  
Chest Ct ◽  
Age Group ◽  
Severity Scoring ◽  
Chest Computed Tomography ◽  
Severity Of The Disease

Abstract Background Coronavirus disease 2019 (COVID-19) is the most recent global health emergency; early diagnosis of COVID-19 is very important for rapid clinical interventions and patient isolation; chest computed tomography (CT) plays an important role in screening, diagnosis, and evaluating the progress of the disease. According to the results of different studies, due to high severity of the disease, clinicians should be aware of the different potential risk factors associated with the fatal outcome, so chest CT severity scoring system was designed for semi-quantitative assessment of the severity of lung disease in COVID-19 patients, ranking the pulmonary involvement on 25 points severity scale according to extent of lung abnormalities; this study aims to evaluate retrospectively the relationship between age and severity of COVID-19 in both sexes based on chest CT severity scoring system. Results Age group C (40–49 year) was the commonest age group that was affected by COVID-19 by 21.3%, while the least affected group was group F (≥ 70 years) by only 6.4%. As regards COVID-RADS classification, COVID-RADS-3 was the most commonly presented at both sexes in all different age groups. Total CT severity lung score had a positive strong significant correlation with the age of the patient (r = 0.64, P < 0.001). Also, a positive strong significant correlation was observed between CT severity lung score and age in both males and females (r = 0.59, P < 0.001) and (r = 0.69, P < 0.001) respectively. Conclusion We concluded that age can be considered as a significant risk factor for the severity of COVID-19 in both sexes. Also, CT can be used as a significant diagnostic tool for the diagnosis of COVID-19 and evaluation of the progression and severity of the disease.

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