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Relevant bibliographies by topics / Covid-19 Pneumonia Chest X-Ray Ground Glass Opacity Consolidation

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Academic literature on the topic 'Covid-19 Pneumonia Chest X-Ray Ground Glass Opacity Consolidation'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Covid-19 Pneumonia Chest X-Ray Ground Glass Opacity Consolidation"

1

Dr., Tanusri Debbarma, Asim DE Dr., and Kaushik Debbarma Dr. "Evaluation of Corona Virus Related Respiratory Illness by Chest Radiography at Tertiary Care Hospital, Agartala: A Descriptive Study." International Journal of Innovative Science and Research Technology 7, no. 4 (2022): 347–51. https://doi.org/10.5281/zenodo.6505242.

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Coronavirus related respiratory illness usually manifests clinically as pneumonia with predominant imaging findings of an atypical or organizing pneumonia. Plain radiography is very helpful for the assessment and follow-up of COVID-19 disease. It provides an accurate insight into the disease course. We aimed at determining the course of COVID-19 disease and it's severity by using chest X-ray (CXR) scoring system and correlate these with age, sex, and outcome of the patients. Results: In our study, 98 patients with COVID-19 diseasewere enrolled; out of that 70 patients (71.4%) had abnormal

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2

Kikkisetti, Shreeja, Jocelyn Zhu, Beiyi Shen, Haifang Li, and Tim Q. Duong. "Deep-learning convolutional neural networks with transfer learning accurately classify COVID-19 lung infection on portable chest radiographs." PeerJ 8 (November 5, 2020): e10309. http://dx.doi.org/10.7717/peerj.10309.

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Portable chest X-ray (pCXR) has become an indispensable tool in the management of Coronavirus Disease 2019 (COVID-19) lung infection. This study employed deep-learning convolutional neural networks to classify COVID-19 lung infections on pCXR from normal and related lung infections to potentially enable more timely and accurate diagnosis. This retrospect study employed deep-learning convolutional neural network (CNN) with transfer learning to classify based on pCXRs COVID-19 pneumonia (N = 455) on pCXR from normal (N = 532), bacterial pneumonia (N = 492), and non-COVID viral pneumonia (N = 552

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3

Kodikara, Iroshani, Buddhi Anjani Galabada, and Aruni Manjula Kurupparachchi. "Chest radiographic findings in high-risk Covid-19 pneumonia patients." Galle Medical Journal 28, no. 4 (2023): 115–28. http://dx.doi.org/10.4038/gmj.v28i4.8172.

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Introduction: The severity of Covid-19 pneumonia has shown a positive association with co-existing risk factors. However, the exact nature of lung involvement in high-risk Covid-19 patients is yet to be resolved. Therefore, we evaluated chest X-ray (CXR) features, temporal progression, and the factors associated with CXR severity in high-risk patients.Methods: Chest X-rays (n=289) of Covid-19 infected high-risk adults (n=228) treated at the Base Hospital Homagama were evaluated to record CXR features, their temporal progression, CXR severity score and the patient outcomes. Results: The evaluat

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4

Gharekhanloo, Farideh, Seyyed Hamid Hashemi, Fariba Keramat, et al. "Radiological Findings From 101 Patients With Novel Coronavirus Disease 2019 (COVID-19) in Hamadan, West of Iran: Typical and Atypical Features." International Journal of Epidemiologic Research 8, no. 3 (2021): 122–28. http://dx.doi.org/10.34172/ijer.2021.23.

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Background and aims: Coronavirus disease 2019 (COVID-19) has spread widely throughout the world and become a pandemic disease. In this study, we decided to investigate the chest computed tomography (CT) findings in COVID-19 patients in Hamadan, west of Iran. Methods: This cross-sectional study was conducted on 101 patients with confirmed COVID-19 infection from February to March 2020. Demographic, clinical, laboratory, and chest CT findings of identified COVID-19 patients were assessed. Results: The mean age of the patients was 55.21 ± 14.08 years, and 54 (53.47%) of them were male. With regar

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5

Palabiyik, Figen, Suna Ors Kokurcan, Nevin Hatipoglu, Sinem Oral Cebeci, and Ercan Inci. "Imaging of COVID-19 pneumonia in children." British Journal of Radiology 93, no. 1113 (2020): 20200647. http://dx.doi.org/10.1259/bjr.20200647.

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Objective: Literature related to the imaging of COVID-19 pneumonia, its findings and contribution to diagnosis and its differences from adults are limited in pediatric patients. The aim of this study was to evaluate chest X-ray and chest CT findings in children with COVID-19 pneumonia. Methods: Chest X-ray findings of 59 pediatric patients and chest CT findings of 22 patients with a confirmed diagnosis of COVID-19 pneumonia were evaluated retrospectively. Results: COVID-19 pneumonia was most commonly observed unilaterally and in lower zones of lungs in chest X-ray examinations. Bilateral and m

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6

Sheikh, A. Z., Z. Tariq, S. Noor, A. Ambreen, S. Awan, and M. Amjad. "Chest X-Rays Findings in Patients Positive for COVID 19 at Sheikh Zayed Hospital Lahore." Pakistan Journal of Medical and Health Sciences 15, no. 5 (2021): 1196–99. http://dx.doi.org/10.53350/pjmhs211551196.

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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 r

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7

Badu-Peprah, Augustina, Ijeoma Anyitey-Kokor, Allswell Ackon, Obed K. Otoo, Nana A. K. Asamoah, and Theophilus K. Adu-Bredu. "Chest radiography patterns of COVID-19 pneumonia in Kumasi, Ghana." Ghana Medical Journal 54, no. 4 (2020): 264–68. http://dx.doi.org/10.4314/gmj.v54i4.9.

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Objectives: To document the pattern of chest radiographic findings in coronavirus disease 2019 (COVID-19) patients with moderate to severe disease. Design: Retrospective cross-sectional study. Setting: The study site was Komfo Anokye Teaching Hospital (KATH) located at Bantama in Kumasi, the capital town of the Ashanti Region. It is the second largest hospital in the country and the major referral site for Ashanti region and the northern part of the country. The hospital hosts a highly infectious isolation unit (HIIU) for COVID19 patients with moderate to severe infections and rece

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8

Sarfraz, Saulat, Kh Bilal Waheed, Masood Akhtar, Sarfraz Latif, Muhammad Asif, and Abdus Sami Malik. "Investigation of HRCT Chest Severity in Patients with COVID-19: A Study of Tertiary Care Hospital in Pakistan." Pakistan Journal of Medical and Health Sciences 15, no. 5 (2021): 1084–89. http://dx.doi.org/10.53350/pjmhs211551084.

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Background: High-resolution computed tomography (HRCT) chest has a key role in diagnosis COVID-19, as it provides specific imaging features, i.e., bilateral, peripheral and sub-pleural, ground-glass opacity (GGO), consolidation and many associated findings. Aim: To provide the detailed chest HRCT findings along with clinical information in patients with COVID-19. Methods: A cross-sectional study was conducted in the Department of Radiology SZPGMI, Lahore. Information on clinical data, chest radiography appearance and comorbidities were recorded ona designed proforma. HRCT chest findings were r

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9

Hakami, Abdulrahman. "Imaging features with clinical correlation of COVID 19, A literature Review." Clinical Case Reports and Clinical Study 5, no. 2 (2021): 1–5. http://dx.doi.org/10.61148/2766-8614/jccrcs/087.

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To date COVID-19 pandemic remains treatment challenge worldwide. Chest CT is an important tool in evaluation of COVID-19 and according to the literature, it has a high diagnostic sensitivity in diagnosis of COVID 19. The Typical imaging findings seen in PCR positive patients, Ground glass opacity and Consolidation. Mostly appeared in multiple lobes, particularly the basal part of lung. The atypical imaging findings such as pneumothorax, fibrosis, mediastinal lymphadenopathy, cavitation lesion and nodules, also seen in few cases. Here we review comprehensively the correlated imaging finding, CT

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10

Qadir, Sadaf Abdul, Syed Muhammad Yousaf Farooq, Muhammad Yousaf, Syed Amir Gilani, Madiha Mumtaz, and Ahmed Ishfaq. "Chest x-ray Findings in the Diagnosis and Evaluation of Covid-19 Patients – A Systematic Review." Pakistan Journal of Medical and Health Sciences 16, no. 4 (2022): 7–9. http://dx.doi.org/10.53350/pjmhs221647.

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Aim: To assess the main radiological feature of chest radiography for diagnosis and evaluation of COVID-19 patients. Methodology: A literature search was performed with the use of search engines. The following search engines provided us articles for this systematic review from until 27 February 2021: PubMed, NCBI, Medline, Medscape, and Google Scholar. We included only those articles in which CXR was performed on infected patients for the detection and evaluation of COVID-19. Results: out of eighty (80) articles, only twelve (12) were included in this review to assess the main radiological fea

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