Chest X-Rays Findings in Patients Positive for COVID 19 at Sheikh Zayed Hospital Lahore

2021 ◽  
Vol 15 (5) ◽  
pp. 1196-1199
Author(s):  
A. Z. Sheikh ◽  
Z. Tariq ◽  
S. Noor ◽  
A. Ambreen ◽  
S. Awan ◽  
...  
Keyword(s):  
Ground Glass Opacity ◽  
British Society ◽  
Ground Glass ◽  
Care Hospital ◽  
X Rays ◽  
Middle Zone ◽  
Rt Pcr ◽  
Thoracic Imaging ◽  
X Ray ◽  
Chest X Ray

Aim: To assess the results of chest x ray radiographs of patients positive for Covid-19, presented at the tertiary care hospital according to the classification by the British Society of Thoracic Imaging (BSTI. Place and Duration: In COVID-19 Ward (Department of Medicine) Sheikh Zayed Hospital, Lahore for three months duration from January 2021 to March 2021. Methods: A total of 96 patients were selected. In this observational study, positive COVID-19 patient determined by the reverse transcriptase polymerase chain reaction (RT-PCR) were enrolled for this study above the age of 14 years. CXR results were classified conferring to BSTI documentation and classification in terms of percentage and frequency. Results: Chest rays of 96 patients who tested positive for Covid-19 by RT-PCR over the age of 14 years were examined. Chest X-rays are classified according to the BSTI Covid-19 X-ray classification. Out of 96 patients, 10 patients (10.41%) had normal chest x-rays, 19 (19.80%) patients had classic bilateral, peripheral and basal consolidation / ground glass opacity (GMO), 60 (62.5%) had unspecified group,7(7.29%) patients have poor quality X-ray film. The unilateral involvement was noticed in 15 and bilateral in 49 patients, 12 of the patients had diffuse involvement on chest radiograph and peripheral involvement in 39 patients. According to regional dominance, 41 of the unspecified (42.70%) had middle and lower lung involvement, 7 (7.29%) had only the middle zone, and 8 (8.33%) had involvement of lower zone. Conclusions: In this study, Covid-19 chest X-rays are usually presented as ground glass opacity, mixed consolidation with GGOs in the middle and lower peripheral areas of the bilateral lung. Chest X-ray BSTI classification is used to classify Covid-19 severity in our patients, thus differentiating in the classic Covid-19 of the middle zone versus low zone involvement. Keywords: Consolidation, Covid, Ground Glass Opacity, Chest Image.

scholarly journals Chest X-ray findings in COVID-19: A Pictorial Review

2020 ◽  
Vol 24 (Supp-1) ◽  
pp. 44-49
Author(s):  
Nasir Khan ◽  
Muhammad Umar ◽  
Maria Khaliq ◽  
Hina Hanif ◽  
Misbah Durrani ◽  
...  
Keyword(s):  
British Society ◽  
Ground Glass ◽  
X Rays ◽  
Rt Pcr ◽  
Radiological Investigation ◽  
Thoracic Imaging ◽  
X Ray ◽  
Pictorial Review ◽  
Clinical Scenarios ◽  
Chest X Ray

Introduction: Chest X-ray and Computed tomography(CT) of chest play an important role in the diagnosis and management of the Coronavirus disease (COVID-19). As chest CT may not be readily available in most clinical setups X-ray Chest plays a pivotal role in such clinical scenarios and an irreplaceable initial radiological investigation of these patients. Objective: The objective of this article is to identify and elaborate the commonest appearances and patterns of lung changes on Chest X rays in COVID-19 positive patients confirmed on RT-PCR COVID testing. Materials and Methods: Cross-sectional descriptive-analytical study of Chest X-ray findings of 294  RT-PCR confirmed COVID-19 patients admitted across 3 hospitals (Rawalpindi institute of urology (RIU), Benazir Bhutto Hospital (BBH) and Holy Family Hospital (HFH)) from March 30th, 2020 till April 30th, 2020. CXR was analyzed for consolidation patches, ground-glass opacification (GGO), multi-lobe involvement, bilateral distribution, and pleural fluid. The chest X-ray with positive findings was graded into mild, moderate, and severe grades using BSTI (British Society of Thoracic imaging) guidelines. Results: Mean age of study patients was 45.5 years. Among the study population 230 (78.2 %) were male and 64 (21.8%) female. On baseline chest X rays, consolidations were the commonest finding (n=84, 28.5%), followed by ground-glass opacity (n=17, 5.7 %). The more common locations were peripheral and lower zones, and the majority had bilateral lung involvement (Table 1). Pleural effusions were found in only 5 of the study patients.  Among these patients, 187 (63.6%) had an initial normal chest X-ray. Moreover, 35, 34, and 38patients had mild, moderate, and severe diseases respectively. Conclusion: Chest X-ray is an important initial radiological investigation for COVID 19 patients and plays an important role in the management during the course of the disease.

scholarly journals Chest X-ray findings in COVID-19 patients: a descriptive study

2021 ◽  
Author(s):  
Asraf Hussain ◽  
Jeetendra Mishra ◽  
Achutanand Lal Karn ◽  
Alok Kumar Singh ◽  
Parwez Ansari ◽  
...  
Keyword(s):  
Descriptive Study ◽  
British Society ◽  
Ground Glass ◽  
X Rays ◽  
Lower Zone ◽  
Thoracic Imaging ◽  
X Ray ◽  
Peripheral Lung ◽  
Normal Chest ◽  
Chest X Ray

Background: Early suspicion and diagnosis remains the cornerstone for the better outcome of patients and to decrease cross infection in cases of COVID-19 pneumonia. In a country like Nepal X-ray facilities are readily available radiological tool in most of the centers and can be important screening tool.  There is a lack of studies detailing the chest XR (C-XR) findings in these patients when compared to that dedicated to the CT features. Study aims to describe the patterns of the lung opacities in CXR in these patients.Methods: This is retrospective descriptive study conducted at NMCTH in COVID-19 patients from 12 September to 17 October 2020. Demographic characteristics, symptoms, co-morbidities and C-XR findings were studied. CXR findings were categorized according to BSTI classification.Results: Among 111 COVID-19 RT-PCR positive cases admitted 102 (91.9%) belonged to age group 18-65 years, 89 (80.2%) were males. Cough and fever were the commonest symptoms present in 109 (98.2%) patients. Ischemic heart disease and hypertension in 32 (28.8%) patients were the commonest co morbidities. According to British society of thoracic imaging (BSTI) COVID-19 CXR classification, six patients (5.4%) had normal chest X-rays. Classic/probable COVID-19 picture was present in 79 (71.17%) patients while (7.2%) had intermediate for COVID-19 X-ray findings. Among 79 patients with classic/probable COVID-19 CXR findings 71 (89.8%) had bilateral consolidation/ground glass haze, 72 (91.1%) had peripheral lung involvement while 66 (83.5%) had middle and lower zone involvement.Conclusions: Ground glass opacities/consolidations with bilateral location, peripheral distribution and middle- lower zone predominance were the commonest X-ray findings in our study.

Should Chest X-ray Be Used in Diagnosing COVID-19?

2020 ◽  
Vol 54 ◽  
Author(s):  
Maria Cristina Z. San Jose ◽  
Valentin C. Dones
Keyword(s):  
British Society ◽  
Normal Lung ◽  
Rt Pcr ◽  
Thoracic Imaging ◽  
X Ray ◽  
Canadian Association ◽  
Lung Abnormalities ◽  
Chest X Ray ◽  
Low Sensitivity ◽  
Pcr Test

While chest x-ray is readily available and may precede RT-PCR test, chest x-ray has low sensitivity early in the COVID-19 disease and shows non-specific lung abnormalities in COVID-19 patients. Chest x-ray is part of the initial diagnostic tool used on COVID-19 patients in some hospitals as it yields fast results compared with reverse transcription-polymerase chain reaction (RT-PCR). Chest Computed Tomography (CT) has been reported to be more sensitive than chest x-ray in determining the presence of COVID-19. Chest x-ray findings in confirmed COVID-19 patients show:  Normal lung findings early in the illness and in mildly symptomatic patients Typical ground-glass opacities and consolidation in the lung periphery Lung abnormalities are non-specific and may likewise be present in other infections and coronavirus-types of pneumonia The American College of Radiology (ACR), Center for Disease Control and Prevention (CDC), Canadian Association of Radiologists (CAR), Canadian Society of Thoracic Radiology (CSTR), and British Society of Thoracic Imaging do not recommend the use of chest x-ray to diagnose COVID-19. The Fleisher Society, composed of radiologists and pulmonologists in ten countries, does not recommend a chest x-ray for patients suspected of mild COVID-19. A chest x-ray is recommended for patients with moderate to severe COVID-19 needing immediate triage and patients at high risk for disease progression. Despite presence of chest x-ray findings suggesting COVID-19, RT-PCR test remains the standard diagnostic procedure.

scholarly journals Amiodarone-Induced Pulmonary Toxicity – A Frequently Missed Complication

2016 ◽  
Vol 9 ◽  
pp. CCRep.S39809 ◽  
Author(s):  
Alexander J. Sweidan ◽  
Navneet K. Singh ◽  
Natasha Dang ◽  
Vinh Lam ◽  
Jyoti Datta
Keyword(s):  
Coronary Artery ◽  
Lung Disease ◽  
Interstitial Pneumonitis ◽  
Pulmonary Toxicity ◽  
Pulmonary Nodules ◽  
Ground Glass ◽  
X Rays ◽  
X Ray ◽  
Chest X Ray ◽  
New Onset

Introduction Amiodarone is often used in the suppression of tachyarrhythmias. One of the more serious adverse effects includes amiodarone pulmonary toxicity (APT). Several pulmonary diseases can manifest including interstitial pneumonitis, organizing pneumonia, acute respiratory distress syndrome, diffuse alveolar hemorrhage, pulmonary nodules or masses, and pleural effusion. Incidence of APT varies from 5–15% and is correlated to dosage, age of the patient, and preexisting lung disease. Description A 56-year-old male with a past medical history of coronary artery disease and chronic obstructive pulmonary disease was admitted for a coronary artery bypass graft. Post-operatively, the patient was admitted to the ICU for ventilator management and continued to receive his home dose of amiodarone 400 mg orally twice daily, which he had been taking for the past 3 months. The patient was found to be hypoxemic with a PaO2 52 mmHg and bilateral infiltrates on chest x-ray. Patient also complained of new onset dyspnea. Physical exam found bilateral rhonchi with bibasilar crackles and subcutaneous emphysema along the left anterior chest wall. Daily chest x-rays showed worsening of bilateral interstitial infiltrates and pleural effusions. A chest high-resolution computed tomography on post-operative day 3 showed extensive and severe bilateral ground glass opacities. APT was suspected and amiodarone was discontinued. A course of oral prednisone without antibiotics was initiated, and after one week of treatment the chest film cleared, the PaO2 value normalized and dyspnea resolved. Discussion APT occurs via cytotoxic T cells and indirectly by immunological reaction. Typically the lungs manifest a diffuse interstitial pneumonitis with varying degrees of fibrosis. Infiltrates with a ‘ground-glass’ appearance appreciated on HRCT are more definitive than chest x-ray. Pulmonary nodules can be seen, frequently in the upper lobes. These are postulated to be accumulations of amiodarone in areas of previous inflammation. Those undergoing major cardiothoracic surgery are known to be predisposed to APT. Some elements require consideration: a baseline pulmonary function test (PFT) did not exist prior. APT would manifest a restrictive pattern of PFTs. In APT diffusing capacity (DLCO) is generally >20 percent from baseline. A DLCO was not done in this patient. Therefore, not every type of interstitial lung disease could be ruled out. Key features support a clinical diagnosis: (1) new dyspnea, (2) exclusion of lung infection, (3) exclusion of heart failure, (4) new radiographic features, (5) improvement with withdrawal of amiodarone. Our case illustrates consideration of APT in patients who have extensive use of amiodarone and new onset dyspnea.

scholarly journals ANALYZING CHEST X-RAY TO DIFFERENTIATE SYMPTOMS OF COVID-19 THROUGH ML APPROACH

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
Deepali R Deshpande ◽  
Raj L Shah ◽  
Anish N Shaha
Keyword(s):  
Machine Learning ◽  
Learning Model ◽  
Time Constraints ◽  
X Rays ◽  
Rt Pcr ◽  
X Ray ◽  
Social Distancing ◽  
Machine Learning Model ◽  
Chest X Ray

The motive behind the project is to build a machine learning model for detection of Covid-19. Using this model, it is possible to classify images of chest x-rays into normal patients, pneumatic patients, and covid-19 positive patients. This CNN based model will help drastically to save time constraints among the patients. Instead of relying on limited RT-PCR kits, just a simple chest x-ray can help us determine health of the patient. Not only we get immediate results, but we can also practice social distancing norms more effectively.

scholarly journals Chest X-Ray findings and visual quantitative assessment of COVID-19 pneumonia

2020 ◽  
Author(s):  
Michaela Cellina ◽  
Marcello Orsi ◽  
Marta Panzeri ◽  
Giulia van der Byl ◽  
Giancarlo Oliva
Keyword(s):  
Severity Score ◽  
Quantitative Assessment ◽  
X Rays ◽  
Imaging Findings ◽  
Rt Pcr ◽  
Disease Evolution ◽  
X Ray ◽  
Radiological Score ◽  
Chest X Ray

Abstract AimTo assess the most common chest X-Ray findings and distribution in patients with confirmed diagnosis of COVID-19; to verify the repeatability of a radiological severity score, based on visual quantitative assessment; to assess the evolution of chest X-Ray findings at follow-up; to evaluate chest X-Ray sensitivity.MethodsWe analysed chest X-Rays at baseline of 110 consecutive COVID-19 patients (79 males, 31 females; mean age: 64±16 years) with RT-PCR confirmation, who presented to our ED.Two radiologists evaluated the imaging findings and distribution.A severity score, based on the extension of lung abnormalities, was assigned by two other radiologists, independently, to the baseline and follow-up X-Rays, executed in 77/110 cases; interobserver agreement was calculated. Chest X-Ray sensitivity was assessed, with RT-PCR as gold standard.ResultsInterobserver agreement was excellent for baseline and follow-up X-Rays (Cohen's K=0.989, p<0.001, Cohen's K=0.985, p<0.001, respectively). The mean score at baseline was 2.87±1.7 for readers 1 and 2. We observed radiological worsening in 52/77 (67%) patients, with significantly higher scores at follow-up (mean score: 4.27±2.15 for reader 1 and 4.28±2.14 for reader 2, respectively); p<0.001.Ground glass opacities were the most common findings (97/110, 88%). Abnormalities showed bilateral involvement in 67/110 (61%), with prevalent peripheral distribution (48/110, 43.5%).The X-Ray sensitivity for the detection of COVID-19 infection was 91%.ConclusionChest X-Ray highlighted imaging findings in line with those previously reported for chest CT. The use of a radiological score can result in clearer communication with Clinicians and a more precise assessment of disease evolution.

scholarly journals Effective Survey on Detection and Classification of COVID-19 Suspected Individual Using CT scan Images

2021 ◽  
pp. 294-299
Author(s):  
Snehal R. Sambhe ◽  
Dr. Kamlesh A. Waghmare
Keyword(s):  
Ct Scan ◽  
X Rays ◽  
Rt Pcr ◽  
X Ray ◽  
Feature Extractor ◽  
Chest X Ray ◽  
Coronavirus Infection ◽  
Aided Diagnosis ◽  
Excessive Risk

As insufficient testing kits are available, the development of new testing kits for detecting COVID remains an open vicinity of research. It’s impossible to test each and every patient suffering from coronavirus symptoms using the traditional method i.e. RT-PCR. This test requires more time to produce results and have less sensitivity. Detecting feasible coronavirus infection using chest X-Ray may also assist quarantine excessive risk sufferers while testing results are disclosed. A learning model can be built based on CT scan images or Chest X-rays of individuals with higher accuracy. This paper represents a computer-aided diagnosis of COVID 19 infection bases on a feature extractor by using CNN models.

scholarly journals Chest X-rays findings in COVID 19 patients at a University Teaching Hospital - A descriptive study

2020 ◽  
Vol 36 (COVID19-S4) ◽  
Author(s):  
Misbah Durrani ◽  
Inam Ul Haq ◽  
Ume Kalsoom ◽  
Anum Yousaf
Keyword(s):  
Teaching Hospital ◽  
Descriptive Study ◽  
University Teaching ◽  
British Society ◽  
Ground Glass ◽  
X Rays ◽  
Lung Involvement ◽  
Thoracic Imaging ◽  
Creative Commons

Objective: To analyze Chest X-ray findings in COVID 19 positive patients, presented at corona filtration center, Benazir Bhutto Hospital Rawalpindi, based on CXR classification of British Society of Thoracic Imaging (BSTI). Methods: In this study, all RT-PCR COVID-19 positive patients screened at corona filtration center, Benazir Bhutto hospital Rawalpindi from 20th March 2020 to 10th April 2020 were included. Mean age of the cohort with age range was calculated. Presenting complaints & Co-morbid were analyzed and tabulated in frequencies and percentages. Portable CXR findings were classified according to BSTI classification and documented in frequencies and percentages. Results: Mean age of the patients was 44 years. Presenting complaints were cough 20 (67%), fever 18 (60%), shortness of breath 11 (37%), sore throat six (20%), loss of sense of taste and smell four(13%). Main co-morbid was hypertension six (20%). Two (7%) patients had normal and seven (23%) had classical COVID CXRs. 21 (70%) patients were in indeterminate group with only one (3%) having unilateral lung disease. Three (10%) patients had diffuse lung involvement and 18(60%) had peripheral lung involvement. Majority of patients 19 (63%), had bilateral middle and lower zonal involvement. Conclusions: In this study, COVID-19 CXRs generally manifested a spectrum of pure ground glass, mixed ground glass opacities to consolidation in bilateral peripheral middle and lower lung zones. BSTI CXR reporting classification of COVID-19 is valid in our patients with addition of middle zonal involvement in classical COVID-19 criteria as opposed to just lower zone involvement. doi: https://doi.org/10.12669/pjms.36.COVID19-S4.2778 How to cite this:Durrani M, Inam-ul-Haq, Kalsoom U, Yousaf A. Chest X-rays findings in COVID 19 patients at a University Teaching Hospital - A descriptive study. Pak J Med Sci. 2020;36(COVID19-S4):---------. doi: https://doi.org/10.12669/pjms.36.COVID19-S4.2778 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Chest X-ray classification using Deep learning for automated COVID-19 screening

2020 ◽  
Author(s):  
Ankita Shelke ◽  
Madhura Inamdar ◽  
Vruddhi Shah ◽  
Amanshu Tiwari ◽  
Aafiya Hussain ◽  
...  
Keyword(s):  
Deep Learning ◽  
Early Stage ◽  
Ground Glass Opacity ◽  
Classification Model ◽  
X Rays ◽  
X Ray ◽  
The People ◽  
History Of ◽  
Chest X Ray

AbstractIn today’s world, we find ourselves struggling to fight one of the worst pandemics in the history of humanity known as COVID-2019 caused by a coronavirus. If we detect the virus at an early stage (before it enters the lower respiratory tract), the patient can be treated quickly. Once the virus reaches the lungs, we observe ground-glass opacity in the chest X-ray due to fibrosis in the lungs. Due to the significant differences between X-ray images of an infected and non-infected person, artificial intelligence techniques can be used to identify the presence and severity of the infection. We propose a classification model that can analyze the chest X-rays and help in the accurate diagnosis of COVID-19. Our methodology classifies the chest X-rays into 4 classes viz. normal, pneumonia, tuberculosis (TB), and COVID-19. Further, the X-rays indicating COVID-19 are classified on severity-basis into mild, medium, and severe. The deep learning model used for the classification of pneumonia, TB, and normal is VGG16 with an accuracy of 95.9 %. For the segregation of normal pneumonia and COVID-19, the DenseNet-161 was used with an accuracy of 98.9 %. ResNet-18 worked best for severity classification achieving accuracy up to 76 %. Our approach allows mass screening of the people using X-rays as a primary validation for COVID-19.

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