Clinico-Radiological Evaluation of COVID-19 Pneumonia and Its Correlation with USG Chest: Single Centre Study at SMS Hospital, Jaipur

Bhandari, Sudhir; Singh, Ajeet; Bagarhatta, Meenu; Rankawat, Govind; Sharma, Raman; Dube, Amitabh; Kakkar, Shivankan; Talk, Amit; Nawal, C. L.; Banerjee, Subrata; Keswani, Prakash; Agarwal, Abhishek; Gupta, Vishal; Singh, Vineet Kumar; Wadhwani, Dilip; Mahavar, Sunil; Gupta, Kapil; Gupta, Jitendra

doi:10.2139/ssrn.3588540

Cited by 5 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among 202 patients in this study, mean age was 48.08 years and males were 69.30%. While other studies 6,9,10 In our study the clinical disease severity of patients enrolled was similar in both the groups. In symptomatic patients, fever and cough were the most common presenting features, followed by shortness of breath, sore throat and headache which is in accordance with other studies 9,10,12 .…”

Section: Discussionsupporting

confidence: 59%

“…While other studies 6,9,10 In our study the clinical disease severity of patients enrolled was similar in both the groups. In symptomatic patients, fever and cough were the most common presenting features, followed by shortness of breath, sore throat and headache which is in accordance with other studies 9,10,12 . In our study, Anosmia group had significant differences in inflammatory markers and CT grading with lower mean values of ESR, CRP, Ferritin, LDH, D-Dimer, IL-6 and CT SS, ORF1ab Gene as compared to controls.…”

Section: Discussionsupporting

confidence: 59%

“…All the studies 15 highlighted the frequency of dry cough, Respiratory distress, Hypertension, diabetes, anti-inflammatory drugs, lymphopenia and elevated C-reactive protein are incriminated as risk factors for severe disease. In a study 10 CT severity score of asymptomatic radiologically positive patients was found to be correlated with the CT severity score, with mild cases showing score 15/25 in 87.50% patients. K Li et al 15 have noted a strong correlation between the degree of radiological severity and the clinical severity of symptoms in patients infected with SARS COV-2.…”

Section: Discussionmentioning

confidence: 94%

See 2 more Smart Citations

Prognostic Value of Anosmia in SARS-COV-2: A Case Control Study

Agrawal,

Jain,

Sodani

2024

Int J Health Sci Res

View full text Add to dashboard Cite

Novel coronavirus disease 2019 (COVID-19) has rapidly evolved into a global pandemic and sudden onset of anosmia, has been recognized as a major clinical characteristic of the disease. Metanalysis of 107 studies suggested no objective parameter of severity of COVID-19 with anosmia is established. A study including age and gender matched 101 patients in each group was studied and patients with anosmia has strong association with D-Dimer, IL-6, Ferritin, LDH, Orf1ab gene, CT severity index. Also, better prognosis as compared to non-anosmic covid positive patients as compared to requirement of respiratory assistance. The present study is the first study to attempt to determine cut-offs of elevated levels of Inflammatory biomarkers in the prediction of requirement of respiratory assistance in SARS-CoV2 positive anosmia patients. Key words: Anosmia, Covid-19, Inflammatory markers.

show abstract

Section: Discussionsupporting

confidence: 59%

Section: Discussionsupporting

confidence: 59%

Section: Discussionmentioning

confidence: 94%

See 1 more Smart Citation

Prognostic Value of Anosmia in SARS-COV-2: A Case Control Study

Agrawal,

Jain,

Sodani

2024

Int J Health Sci Res

View full text Add to dashboard Cite

show abstract

“…A full list of all research articles with CXR images added to our dataset[47,48,49,50,51,52,53,54,11,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73] 4 COVID-19 Chest X-ray Image Data Collection. Available on: https://github.com/armiro/COVID-CXNet…”

mentioning

confidence: 99%

COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning

Haghanifar¹,

Majdabadi²,

Choi³

et al. 2020

Preprint

View full text Add to dashboard Cite

One of the primary clinical observations for screening the infectious by the novel coronavirus is capturing a chest x-ray image. In most of the patients, a chest x-ray contains abnormalities, such as consolidation, which are the results of COVID-19 viral pneumonia. In this study, research is conducted on efficiently detecting imaging features of this type of pneumonia using deep convolutional neural networks in a large dataset. It is demonstrated that simple models, alongside the majority of pretrained networks in the literature, focus on irrelevant features for decision-making. In this paper, numerous chest x-ray images from various sources are collected, and the largest publicly accessible dataset is prepared. Finally, using the transfer learning paradigm, the well-known CheXNet model is utilized for developing COVID-CXNet. This powerful model is capable of detecting the novel coronavirus pneumonia based on relevant and meaningful features with precise localization. COVID-CXNet is a step towards a fully automated and robust COVID-19 detection system.

show abstract

Analysis of HRCT Chest Findings in Cases With Influenza Like Illness During Covid-19 Pandemic

Sainudeeen¹,

Babu²,

Suji.³

et al. 2022

Global Journal for Research Analysis

View full text Add to dashboard Cite

Aim: To evaluate and characterize lung abnormalities on serial thin-section computed tomographic (CT) scans in patients with inuenza like illness during COVID-19 pandemic. Materials And Methods: High resolution thin slice CT (using Siemens SOMATOM scope machine) study were performed in 100 patients with inuenza like illness and were assessed for lung abnormalities such as ground-glass opacities, consolidation, interlobular and intra lobular septal thickening , peribroncho vascular thickening etc. Each lobe of affected lung was assessed for CT severity score using lobar method. Summation of scores from all affected lobes were taken using lobar method of scoring* (maximal CT score, 25*). Depending on the score and RTPCR status for COVID-19 a relevant CORADS score was assigned. And reported accordingly. Since the cases has been increasing in the locality and district ,any CT case with clinical suspicion and if CT shows in.ammatory signs( previously described as atypical as for ex- ample lobar pneumonia) was considered and reported with suspicious as COVID-19 and later correlated with RT PCR laboratory investigations further it is proved to be as such. Results: HRCT chest of total 100 patients were studied. Out of which 88 patients had ground glass opacity type changes, 67 patients had consolidation type changes, 55 patients had pleural thickening, 8 patients had pleural effusion and 62 patients had bronchiectasis (cystic/ tractional bronchiectasis). Bilateral involvement were seen in 76 cases. Lower lobes affected in 81cases, middle lobes affected in 42 cases, upper lobe affected in 55 cases and peripheral areas affected in 91 cases. CT severity score and CORADS classication were all assessed . Sensitivity of the study is 82.6%, specicity is 77.4%, positive predictive value is 89% and negative predictive value is 66.8%

show abstract

Clinico-Radiological Evaluation of COVID-19 Pneumonia and Its Correlation with USG Chest: Single Centre Study at SMS Hospital, Jaipur

Cited by 5 publications

References 0 publications

Prognostic Value of Anosmia in SARS-COV-2: A Case Control Study

Prognostic Value of Anosmia in SARS-COV-2: A Case Control Study

COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning

Analysis of HRCT Chest Findings in Cases With Influenza Like Illness During Covid-19 Pandemic

Contact Info

Product

Resources

About