scholarly journals The Relationship of Chest X-Ray in COVID-19 Patients and Disease Severity in Arifin Achmad General Hospital Riau

2021 ◽  
Vol 7 (3) ◽  
pp. 114
Author(s):  
Aulia Rahman ◽  
Sri Melati Munir ◽  
Indra Yovi ◽  
Andreas Makmur
Keyword(s):  
Disease Severity ◽  
Clinical Symptoms ◽  
Clinical Manifestations ◽  
Comorbid Disease ◽  
X Ray ◽  
Mild Degree ◽  
Abnormal Chest ◽  
Normal Chest ◽  
Chest X Ray ◽  
The Relationship

Introduction: Coronavirus Disease 2019 (COVID-19) pandemic is caused by SARS-CoV-2 which spreads rapidly throughout the world and causes clinical manifestations in various organs, especially in the lungs. Clinical symptoms arise from asymptomatic, mild, moderate, severe, and critical symptoms in patients with or without comorbid disease. Chest X-ray examination is one of the modalities in the management of COVID-19 which is cheap and easy to do.Methods: This study was performed by analyzing medical record data of confirmed COVID-19 patients from March to December 2020. This study aimed to examine the relationship between chest X-ray and the degree of disease severity.Results: The results showed that from the examined 542 total samples, the highest number was found in the age group of 40-49 years old (23.6%), women (53%), mild degree of COVID-19 (67.9%), normal chest X-ray (54.6%), predominance on the lower zone of the lung, peripheral and bilateral on abnormal chest X-ray, no comorbid (56.3%), hypertensive in comorbid disease (26.6%). There was a significant relationship between chest X-ray and comorbidity towards COVID-19 severity (p = 0.000).Conclusion:Chest X-ray can determine disease severity, therefore it can be used as the first modality for triage and treatment evaluation in COVID-19 patients. 

scholarly journals Idiopatic fibrosing alveolitis in a newborn

2019 ◽  
Vol 64 (5) ◽  
pp. 226-229
Author(s):  
N. Kh. Gabitova ◽  
I. N. Cherezova ◽  
K. A. Cherezova
Keyword(s):  
Clinical Symptoms ◽  
Dynamic Control ◽  
Fatal Outcome ◽  
Clinical Manifestations ◽  
Lung Damage ◽  
Symptomatic Therapy ◽  
Fibrosing Alveolitis ◽  
X Ray ◽  
Chest X Ray ◽  
Lung Tissue Damage

The article describes a clinical case of idiopathic fibrosing alveolitis – a rare antenatal disease of a newborn. The disease began with the clinical manifestations of transient tachypnea in a full-term child born in the operative way. Chest X-ray was used for dynamic control of lung tissue damage. Due to the absence of specific clinical symptoms of interstitial lung damage, the disease was considered as a course of congenital pneumonia. The researchers used antibacterial and symptomatic therapy. Despite treatment, the respiratory failure progressed, resulting in fatal outcome.

Staging Rectal Cancer: The Utility of Chest Radiograph and Chest Computed Tomography

2016 ◽  
Vol 82 (10) ◽  
pp. 1005-1008
Author(s):  
Michael P. O'Leary ◽  
Aaron B. Parrish ◽  
Cynthia M. Tom ◽  
Brian W. Maclaughlin ◽  
Beverley A. Petrie
Keyword(s):  
Rectal Cancer ◽  
Metastatic Cancer ◽  
Anal Verge ◽  
Cancer Staging ◽  
Chest Ct ◽  
X Ray ◽  
Primary Rectal Cancer ◽  
Abnormal Chest ◽  
Normal Chest ◽  
Chest X Ray

The National Comprehensive Cancer Network recommends that patients who are newly diagnosed with rectal cancer undergo staging CT scan of the chest. It is unclear whether posteroanterior and lateral chest radiography (X-ray) alone would provide adequate staging for most of these patients. A retrospective review was performed on all patients who had a two-view chest X-ray along with a chest CT for rectal cancer staging from 2007 to 2015. A total of 74 patients had both modalities. Sixty-three (85%) had a normal chest X-ray and 11 (15%) had an abnormal chest X-ray. Of the 63 patients with a normal chest X-ray, 40 (63%) had a corresponding normal chest CT and 23 (37%) had a lesion only noted on chest CT. Four patients (17%) in the latter group had metastatic cancer to the lung at the time of workup and four out of five of the tumors found to metastasize were within 5 cm from the anal verge. Our data suggest that a staging chest X-ray is unlikely to diagnose metastatic lungs lesions from a primary rectal cancer. Conversely, staging chest CT will accurately stage metastatic disease but will also reveal benign lung lesions in this patient population.

scholarly journals A study on obstetric patients with corona virus infection requiring critical care

2020 ◽  
Vol 9 (10) ◽  
pp. 3966
Author(s):  
Adarsh Preet ◽  
Tushar Palve
Keyword(s):  
Critical Care ◽  
Pregnant Women ◽  
Clinical Manifestations ◽  
Shortness Of Breath ◽  
X Ray ◽  
Mild Disease ◽  
Abnormal Chest ◽  
Co Morbidity ◽  
Maternal Morbidity And Mortality ◽  
Chest X Ray

Background: Coronavirus cause respiratory tract infection that can range from mild to lethal like cold, fever, cough, shortness of breath, fatigue, chills, body aches, headache, sore throat, loss of smell or taste, nausea, diarrhoea, pneumonia, respiratory failure, septic shock and death. The purpose of this study was to describe the clinical manifestations of obstetric patients with COVID-19 infection requiring critical care, their 02 requirements, complications, co-morbidities associated and mortality related to it.Methods: A study was conducted in the Department of Obstetrics and Gynecology, Cama and Albless hospital, Mumbai including 31 patients with SARS CoV-2 infection requiring critical care. Necessary information such as their detailed clinical, and obstetric history, clinical examination, investigations was noted.Results: In our study, the most common symptoms were shortness of breath, followed by fever. PIH was the most common co morbidity associated and pneumonia as most common complication. Anemia, thrombocytopenia and NLR>4 were found more common in intensive care unit (ICU) admitted patients as compared to non-ICU admitted patients. 77.4% of patients had abnormal chest X-ray with 25.8% requiring mechanical ventilation.Conclusions: COVID 19 infection is affecting pregnant women resulting in mild to lethal disease. Most of pregnant women are asymptomatic or have mild disease but some of them require critical care. These women should be monitored carefully to prevent maternal morbidity and mortality.

scholarly journals Chest x-ray findings and temporal lung changes in patients with COVID-19 pneumonia

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Liqa A. Rousan ◽  
Eyhab Elobeid ◽  
Musaab Karrar ◽  
Yousef Khader
Keyword(s):  
Common Finding ◽  
X Rays ◽  
Radiographic Findings ◽  
Course Of Illness ◽  
X Ray ◽  
Abnormal Chest ◽  
Healing Phase ◽  
Normal Chest ◽  
Chest X Ray

Abstract Background Chest CT scan and chest x-rays show characteristic radiographic findings in patients with COVID-19 pneumonia. Chest x-ray can be used in diagnosis and follow up in patients with COVID-19 pneumonia. The study aims at describing the chest x-ray findings and temporal radiographic changes in COVID-19 patients. Methods From March 15 to April 20, 2020 patients with positive reverse transcription polymerase chain reaction (RT-PCR) for COVID-19 were retrospectively studied. Patients’ demographics, clinical characteristics, and chest x-ray findings were reported. Radiographic findings were correlated with the course of the illness and patients’ symptoms. Results A total of 88 patients (50 (56.8%) females and 38 (43.2%) males) were admitted to the hospital with confirmed COVID-19. Their age ranged from 3 to 80 years (35.2 ± 18.2 years). 48/88 (45%) were symptomatic, only 13/88 (45.5%) showed abnormal chest x-ray findings. A total of 190 chest x-rays were obtained for the 88 patients with a total of 59/190 (31%) abnormal chest x-rays. The most common finding on chest x-rays was peripheral ground glass opacities (GGO) affecting the lower lobes. In the course of illness, the GGO progressed into consolidations peaking around 6–11 days (GGO 70%, consolidations 30%). The consolidations regressed into GGO towards the later phase of the illness at 12–17 days (GGO 80%, consolidations 10%). There was increase in the frequency of normal chest x-rays from 9% at days 6–11 up to 33% after 18 days indicating a healing phase. The majority (12/13, 92.3%) of patients with abnormal chest x-rays were symptomatic (P = 0.005). Conclusion Almost half of patients with COVID-19 have abnormal chest x-ray findings with peripheral GGO affecting the lower lobes being the most common finding. Chest x-ray can be used in diagnosis and follow up in patients with COVID-19 pneumonia.

Hubungan antara Luas Lesi pada Foto Toraks Penderita TB Paru Dewasa yang Memiliki Riwayat Diabetes Melitus dengan Indeks Massa Tubuh di Rumah Sakit Hasan Sadikin Bandung

2016 ◽  
Vol 1 (3) ◽  
pp. 138-144
Author(s):  
Ina Edwina ◽  
Rista D Soetikno ◽  
Irma H Hikmat
Keyword(s):  
Chest Radiograph ◽  
Chi Square ◽  
Pulmonary Tb ◽  
X Ray ◽  
Consecutive Sampling ◽  
Close Relationship ◽  
Chi Square Test ◽  
Chest X Ray ◽  
The Relationship ◽  
Diabetes Melitus

Background: Tuberculosis (TB) and diabetes mellitus (DM) prevalence rates are increasing rapidly, especially in developing countries like Indonesia. There is a relationship between TB and DM that are very prominent, which is the prevalence of pulmonary TB with DM increased by 20 times compared with pulmonary TB without diabetes. Chest X-ray picture of TB patients with DM is atypical lesion. However, there are contradictories of pulmonary TB lesion on chest radiograph of DM patients. Nutritional status has a close relationship with the morbidity of DM, as well as TB.Objectives: The purpose of this study was to determine the relationship between the lesions of TB on the chest radiograph of patients who su?er from DM with their Body Mass Index (BMI) in Hasan Sadikin Hospital Bandung.Material and Methods: The study was conducted in Department of Radiology RSHS Bandung between October 2014 - February 2015. We did a consecutive sampling of chest radiograph and IMT of DM patients with clinical diagnosis of TB, then the data was analysed by Chi Square test to determine the relationship between degree of lesions on chest radiograph of pulmonary TB on patients who have DM with their BMI.Results: The results showed that adult patients with active pulmonary TB with DM mostly in the range of age 51-70 years old, equal to 62.22%, with the highest gender in men, equal to 60%. Chest radiograph of TB in patients with DM are mostly seen in people who are obese, which is 40% and the vast majority of lesions are minimal lesions that is equal to 40%.Conclusions: There is a signifcant association between pulmonary TB lesion degree with BMI, with p = 0.03

A normal chest X-ray does not rule out the patient’s version

2021 ◽  
Author(s):  
Elena Forcén ◽  
María José Bernabé ◽  
Roberto Larrosa-Barrero
Keyword(s):  
X Ray ◽  
Normal Chest ◽  
Chest X Ray ◽  
Rule Out

scholarly journals Reliable Learning with PDE-Based CNNs and DenseNets for Detecting COVID-19, Pneumonia, and Tuberculosis from Chest X-Ray Images

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 434
Author(s):  
Anca Nicoleta Marginean ◽  
Delia Doris Muntean ◽  
George Adrian Muntean ◽  
Adelina Priscu ◽  
Adrian Groza ◽  
...  
Keyword(s):  
Transfer Learning ◽  
Negative Impact ◽  
X Ray ◽  
Domain Specific ◽  
Direct Training ◽  
Public Data ◽  
Normal Chest ◽  
Chest X Ray ◽  
The Stability ◽  
Definition Of

It has recently been shown that the interpretation by partial differential equations (PDEs) of a class of convolutional neural networks (CNNs) supports definition of architectures such as parabolic and hyperbolic networks. These networks have provable properties regarding the stability against the perturbations of the input features. Aiming for robustness, we tackle the problem of detecting changes in chest X-ray images that may be suggestive of COVID-19 with parabolic and hyperbolic CNNs and with domain-specific transfer learning. To this end, we compile public data on patients diagnosed with COVID-19, pneumonia, and tuberculosis, along with normal chest X-ray images. The negative impact of the small number of COVID-19 images is reduced by applying transfer learning in several ways. For the parabolic and hyperbolic networks, we pretrain the networks on normal and pneumonia images and further use the obtained weights as the initializers for the networks to discriminate between COVID-19, pneumonia, tuberculosis, and normal aspects. For DenseNets, we apply transfer learning twice. First, the ImageNet pretrained weights are used to train on the CheXpert dataset, which includes 14 common radiological observations (e.g., lung opacity, cardiomegaly, fracture, support devices). Then, the weights are used to initialize the network which detects COVID-19 and the three other classes. The resulting networks are compared in terms of how well they adapt to the small number of COVID-19 images. According to our quantitative and qualitative analysis, the resulting networks are more reliable compared to those obtained by direct training on the targeted dataset.

scholarly journals Analysis of Separability of COVID-19 and Pneumonia in Chest X-ray Images by Means of Convolutional Neural Networks

Proceedings ◽  
2020 ◽  
Vol 54 (1) ◽  
pp. 31
Author(s):  
Joaquim de Moura ◽  
Lucía Ramos ◽  
Plácido L. Vidal ◽  
Jorge Novo ◽  
Marcos Ortega
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Clinical Symptoms ◽  
Early Stage ◽  
World Health ◽  
Complete Analysis ◽  
Screening Process ◽  
X Ray ◽  
Chest X Ray ◽  
Health Organization

The new coronavirus (COVID-19) is a disease that is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). On 11 March 2020, the coronavirus outbreak has been labelled a global pandemic by the World Health Organization. In this context, chest X-ray imaging has become a remarkably powerful tool for the identification of patients with COVID-19 infections at an early stage when clinical symptoms may be unspecific or sparse. In this work, we propose a complete analysis of separability of COVID-19 and pneumonia in chest X-ray images by means of Convolutional Neural Networks. Satisfactory results were obtained that demonstrated the suitability of the proposed system, improving the efficiency of the medical screening process in the healthcare systems.

scholarly journals Abnormal chest X-ray in a patient with carcinoma of the cervix.

1997 ◽  
Vol 73 (864) ◽  
pp. 671-673
Author(s):  
P. Aggarwal ◽  
R. Handa ◽  
J. P. Wali ◽  
N. Wig ◽  
A. Kumar
Keyword(s):  
X Ray ◽  
Abnormal Chest ◽  
Chest X Ray
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