CT Chest Severity Score for COVID 19 Pneumonia: A Quantitative Imaging Tool for Severity Assessment of Disease

Sayeed, Sana; Faiz, Belqees Yawar; Aslam, Samreen; Masood, Laiba; Saeed, Rohama

doi:10.29271/jcpsp.2021.04.388

Cited by 16 publications

(13 citation statements)

References 2 publications

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“…In addition, in another clinical study, parenchymal opaci cation in lung segments (20 segments) was evaluated to include 0%, less than 50% or equal to and/or more than 50% of each region, and 0, 1, 2 points were given, respectively, and created CT-SS. In this study, it has been shown that semiquantitative CT evaluation correlates with the disease severity, clinical follow-up and prognosis at admission, and its clinical use is bene cial [16,17]. In Our study, two radiologists were blinded to the clinical data evaluated the CT ndings in consensus.…”

Section: De Nitionsmentioning

confidence: 87%

WITHDRAWN: Clinical Prognosis of Pericardial Effusion in COVID 19

Saraç

Tonkaz

Aksakal

et al. 2021

Preprint

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Purpose In our study, we investigated the relationship between pneumonia severity and pericardial effusion, predisposing factors and the effect of pericardial effusion on clinical prognosis and mortality in COVID-19 patients. Methods A total of 3794 patients who were diagnosed with COVID- 19 by polymerase chain reaction (PCR), were hospitalized between March 21 and November 30, 2020 were included in the study. For each of the 3794 patients, the initial chest CT images, pericardial efusion (PE), pleural efusion and pneumonia severity were evaluated. Results The mean age of patients with PE was higher and it was more common in males. Patients with PE had more comorbid diseases and significantly elevated serum cardiac and inflammatory biomarkers. In addition, the need for intensive care and mortality rates were higher in these patients. While the in-hospital mortality rate was 56.9% in patients with PE and AC involvement above 50%, in-hospital mortality rate was 34.4% in patients with AC involvement above 50% and without PE (p < 0.001). Conclusions In patients presenting with severe AC involvement on CT or being followed up with COVID-19 pneumonia, PE often accompanies the deterioration in the laboratories and clinics of the patients. The clinical prognosis in patients presenting with PE was quite poor, and the frequency of intensive care admissions and mortality were significantly higher. In conclusion, in our study, PE emerged as an important finding in the follow-up and management of patients with COVID-19 and reflects the clinical prognosis.

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Section: De Nitionsmentioning

confidence: 87%

WITHDRAWN: Clinical Prognosis of Pericardial Effusion in COVID 19

Saraç

Tonkaz

Aksakal

et al. 2021

Preprint

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“…This difference is likely due to the difference in location; with swabs the upper respiratory tract is evaluated, while with a chest CT the lower respiratory tract is visualized. In addition, no correlation has been detected between the viral load detected in swabs and disease severity (29), even though an increased CT score is an indication for worsening of the disease and can predict disease outcome (30,31). Like what has been found in humans in our study no correlation could be detected between the viral load detected and imaging scores visualized (32).…”

Section: Discussioncontrasting

confidence: 58%

A Comparative Study of Chest CT With Lung Ultrasound After SARS-CoV-2 Infection in the Assessment of Pulmonary Lesions in Rhesus Monkeys (Macaca Mulatta)

et al. 2021

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Lung ultrasound (LUS) is a fast and non-invasive modality for the diagnosis of several diseases. In humans, LUS is nowadays of additional value for bedside screening of hospitalized SARS-CoV-2 infected patients. However, the diagnostic value of LUS in SARS-CoV-2 infected rhesus monkeys, with mild-to-moderate disease, is unknown. The aim of this observational study was to explore correlations of the LUS appearance of abnormalities with COVID-19-related lesions detected on computed tomography (CT). There were 28 adult female rhesus monkeys infected with SARS-CoV-2 included in this study. Chest CT and LUS were obtained pre-infection and 2-, 7-, and 14-days post infection. Twenty-five animals were sub-genomic PCR positive in their nose/throat swab for at least 1 day. CT images were scored based on the degree of involvement for lung lobe. LUS was scored based on the aeration and abnormalities for each part of the lungs, blinded to CT findings. Most common lesions observed on CT were ground glass opacities (GGOs) and crazy paving patterns. With LUS, confluent or multiple B-lines with or without pleural abnormalities were observed which is corresponding with GGOs on CT. The agreement between the two modalities was similar over the examination days. Pleural line abnormalities were clearly observed with LUS, but could be easily missed on CT. Nevertheless, due to the air interface LUS was not able to examine the complete volume of the lung. The sensitivity of LUS was high though the diagnostic efficacy for mild-to-moderate disease, as seen in macaques, was relatively low. This leaves CT the imaging modality of choice for diagnosis, monitoring, and longitudinal assessment of a SARS-CoV-2 infection in macaques.

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“…8 However in patients with hypoxia or chest infiltrates on X-ray, CT scan modality may prove helpful 8 . Sayeed S et al 9 and Khaliq M et al 10 In his study he used a similar model which used deep learning approach to detect CT scan findings among patients with COVID-19. He concluded that "automated methods of detecting CT scan findings can assist clinicians in making diagnosis more effectively using less time and resources".…”

Section: Discussionmentioning

confidence: 99%

Spectrum of HRCT Scan Chest Findings in COVID-19 Patients as Categorized by Modified CO-RADS Classification

Tabassum¹,

Haider²,

Shaukat³

2022

Pak J Med Sci

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Objectives: The Dutch Radiological Society developed CO-RADS classification, a system for the classification of CT scan chest findings among suspected COVID-19 patients. However due to some important issues it was modified by authors and then applied on our study population. The objective was to study the spectrum of lungs involvement as concluded by HRCT scan chest finding and classifying it using the “Modified CO-RADS classification” Methods: This cross-sectional study was conducted jointly by the departments of Medicine and Radiology, JPMC from January 16, 2021 to April 30, 2021. This study includes suspected cases of COVID-19 patients aged between 18-80 years who came for HRCT chest. Their data variables were recorded. HRCT findings were classified using “Modified CO-RADS classification”. Patients’ results of real time PCR for COVID-19 were also followed. Results: A total of 78 patients presented to the study department during this study period. Of them 85.8% were male (n=67) and 14.2% were female (n=11). Out of the 78 patients, 58 were tested positive for COVID-19 on first RT-PCR on follow up. Among positive two patients (3.4%) had CO-RADS-1, 4 patients (7%) had CO-RADS-2, 19 patients (32.75%) had CO-RADS-3, 21 patients (36.2%) had CO-RADS-4 while 12 patients (20.7%) had CO-RADS-5 category. (CO-RAD-6 category was omitted). Of the patient who had negative results on RT-PCR, five patients had CO-RADS-4 while three patients had CO-RADS-5. On repeat RT-PCR all (8/8) patients of category IV and V proved Covid-19 positive. Conclusion: HRCT scan chest can be used for quicker diagnosis of COVID-19 patients in patients with respiratory complaints in whom prompt diagnosis is required and when RT-PCR investigation process would be taking prolonged time due to over burden during pandemic situation. “CO-RADS classification after modification” proved more effective communicative tool to label and understand the severity of lung involvement in Covid-19 disease. doi: https://doi.org/10.12669/pjms.38.4.4687 How to cite this:Tabassum S, Haider S, Shaukat S. Spectrum of HRCT Scan Chest Findings in COVID-19 Patients as Categorized by Modified CO-RADS Classification. Pak J Med Sci. 2022;38(4):---------. doi: https://doi.org/10.12669/pjms.38.4.4687 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.

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CT Chest Severity Score for COVID 19 Pneumonia: A Quantitative Imaging Tool for Severity Assessment of Disease

Abstract: Objective: To determine a cut-off value of Chest CT severity score (CT-SS) in order to discriminate between the clinical types of COVID-19 pneumonia.

Cited by 16 publications

References 2 publications

WITHDRAWN: Clinical Prognosis of Pericardial Effusion in COVID 19

WITHDRAWN: Clinical Prognosis of Pericardial Effusion in COVID 19

A Comparative Study of Chest CT With Lung Ultrasound After SARS-CoV-2 Infection in the Assessment of Pulmonary Lesions in Rhesus Monkeys (Macaca Mulatta)

Spectrum of HRCT Scan Chest Findings in COVID-19 Patients as Categorized by Modified CO-RADS Classification

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