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The Efficacy of Bedside Chest Ultrasound in the Detection of Traumatic Pneumothorax
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Background

Chest X-rays have long been used to diagnose pneumothorax. In trauma patients, chest ultrasonography combined with chest CT may be a safer, faster, and more accurate approach. This could lead to better and quicker management of traumatic pneumothorax, as well as enhanced patient safety and clinical results.

Aim

The purpose of this study was to assess the efficacy and utility of bedside US chest in identifying traumatic pneumothorax and also its capacity to estimate the extent of the lesion in comparison to the gold standard modality chest computed tomography.

Methods

This was an observational cross-sectional study of 160 patients with traumatic pneumothorax. This sample was collected from all chest trauma patients admitted to Al-Kindy Teaching Hospital in Baghdad-Iraq between November 2021 and September 2022. Such patients were to have a bedside chest US and chest CT scan performed by a skilled radiologist to detect lung point signs and lung sliding, which would be used to determine the patient's pneumothorax status.

Results

According to the study's findings, about 77.5% of the patients evaluated were men. Furthermore, 40.6% of patients experienced blunt trauma. Chest ultrasound revealed positive pneumothorax in 50 cases (31.2%), while positive pneumothorax was confirmed by computed tomography in 53 cases (33.1%) with no significance in the detection of pneumothorax between the two imaging modalities p-value(0.719). Comparably, there was no significant difference in estimating the size of a pneumothorax between the two modalities (p-value = 0.547). Chest ultrasound diagnostic accuracy showed a sensitivity of approximately 92.45%, specificity of 99.07%, and diagnostic accuracy of 96.88%.

Conclusion

Our findings indicated that chest ultrasound might be a valuable rapid diagnostic tool for traumatic pneumothorax in the emergency department in addition to diagnosis. It eliminates the need to transport patients for a CT chest scan.

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Publication Date
Sun Feb 28 2021
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Intelligent System for Parasitized Malaria Infection Detection Using Local Descriptors
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Malaria is a curative disease, with therapeutics available for patients, such as drugs that can prevent future malaria infections in countries vulnerable to malaria. Though, there is no effective malaria vaccine until now, although it is an interesting research area in medicine. Local descriptors of blood smear image are exploited in this paper to solve parasitized malaria infection detection problem. Swarm intelligence is used to separate the red blood cells from the background of the blood slide image in adaptive manner. After that, the effective corner points are detected and localized using Harris corner detection method. Two types of local descriptors are generated from the local regions of the effective corners which are Gabor based f

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Thu Jan 01 2015
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An Improvement to Face Detection Algorithm for Non-Frontal Faces
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Publication Date
Tue Jun 23 2020
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Anomaly Detection Approach Based on Deep Neural Network and Dropout
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   Regarding to the computer system security, the intrusion detection systems are fundamental components for discriminating attacks at the early stage. They monitor and analyze network traffics, looking for abnormal behaviors or attack signatures to detect intrusions in early time. However, many challenges arise while developing flexible and efficient network intrusion detection system (NIDS) for unforeseen attacks with high detection rate. In this paper, deep neural network (DNN) approach was proposed for anomaly detection NIDS. Dropout is the regularized technique used with DNN model to reduce the overfitting. The experimental results applied on NSL_KDD dataset. SoftMax output layer has been used with cross entropy loss funct

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Fri Apr 01 2016
Journal Name
Journal Of Economics And Administrative Sciences
: financial fraud ,Audit risks ,inherent risk ,Detection risk, Data Mining .
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Abstract

The study seeks to use one of the techniques (Data mining) a (Logic regression) on the inherited risk through the use of style financial ratios technical analysis and then apply for financial fraud indicators,Since higher scandals exposed companies and the failure of the audit process has shocked the community and affected the integrity of the auditor and the reason is financial fraud practiced by the companies and not to the discovery of the fraud by the auditor, and this fraud involves intentional act aimed to achieve personal and harm the interests of to others, and doing (administration, staff) we can say that all frauds carried out through the presence of the motives and factors that help th

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Sat Dec 01 2012
Journal Name
Journal Of Engineering
Development an Anomaly Network Intrusion Detection System Using Neural Network
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Most intrusion detection systems are signature based that work similar to anti-virus but they are unable to detect the zero-day attacks. The importance of the anomaly based IDS has raised because of its ability to deal with the unknown attacks. However smart attacks are appeared to compromise the detection ability of the anomaly based IDS. By considering these weak points the proposed
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combining two stages with the PAYL detector, it gives good detection ability and acceptable ratio of false positive. The proposed system improve the models recognition ability in the PAYL detector, for a filtered unencrypt

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Sat Apr 05 2025
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From Pixels to Diagnosis: AI-Powered CNN for Pneumonia Detection
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Attributes of the figure in the work of Afifa Aleiby
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The experiments and artistic performances in contemporary Iraqi painting varied between objective simulation and experimentation in other invisible worlds through metaphor and employment to express the latent implications between the human relationship with the tangible and the intangible. The research problem contained the answer to the following questions to understand the formal features in Afifa Laibi's drawings: What are the formal features of Afifa Laibi's drawings and what are the intellectual transformations that she embodied in presenting her subjective subjects? Did the Iraqi and global environmental changes and influences contribute to the forms of Afifa Laibi? The importance of the research also lies in the study of one of th

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Publication Date
Sun May 12 2019
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Modern architecture in the planning of the city of Baghdad
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The city of Baghdad underwent various changes and developments, which significantly influenced its urban character. And other urban fabric. The most prominent changes in the architecture of that period characterized by the emergence and spread of modern architecture, it represents the period between the 1940s and the late seventies of the twentieth century, which had its many reasons and various factors that paved and supported, and even encouraged the spread of modern architecture of the world, The advanced world in the adoption of a global architecture spread in the city of Baghdad by a number of international architects and Iraqis, who came from those countries and saturation ideas

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