scholarly journals Spectrum of High Resolution Computed tomography chest findings in PCR positive COVID-19 patients according to duration of infection and CT severity score assessment

2021 ◽  
Vol 38 (1) ◽  
Author(s):  
Nadia Irshad ◽  
Nadia Hanif
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Late Stage ◽  
Severity Score ◽  
Severe Disease ◽  
Radiology Department ◽  
P Value ◽  
Threshold Values ◽  
High Resolution Computed Tomography ◽  
Duration Of Infection

Objective: To evaluate the spectrum of HRCT findings of COVID-19 in RT-PCR positive patients according to duration of infection and severity of disease. Methods: This retrospective study was conducted at Radiology department of Lahore General Hospital, Lahore from May to July 2020. Total 40 COVID-19 patients were reviewed for clinical features, HRCT chest findings based on time from symptom onset and CT conduction. Chi-square and fissure exact test were used for measuring association with severity of COVID-19, p value ≤0.05 was reported significant. Mean CT scores were calculated. ROC curve analysis showed threshold values of CT-SS for severe disease. Results: Of total 40 patients with age ranged from 22-83 years, 22(55%) were males and 18(45%) females. The hallmark of COVID-19 was combined GGO and consolidation, GGO alone and consolidation alone in bilateral, sub pleural and posterior distribution. Early stage had normal CT or GGO alone, intermediate and late stage had both GGO and consolidation. Septal lines/bands and crazy paving pattern were prevalent in late stage. Clinically, 24 (60%) were in severe group and 16(40%) in mild group. Severity of COVID-19 was associated with GGO alone (p=0.05), GGO and consolidation (p=0.01), crazy paving (p=0.01) and lung scores (p≤0.05). The threshold values of CT-SS for identifying severe disease by two radiologists were 18.50 and 20.50. Conclusion: HRCT manifestations along with CT-SS aids in predicting disease severity. Staging according to duration of infection is effective in understanding variation in pattern of chest findings in coronavirus disease. doi: https://doi.org/10.12669/pjms.38.1.4204 How to cite this:Irshad N, Hanif N. Spectrum of High Resolution Computed tomography chest findings in PCR positive COVID-19 patients according to duration of infection and CT severity score assessment. Pak J Med Sci. 2022;38(1):---------.  doi: https://doi.org/10.12669/pjms.38.1.4204 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.

Diagnostic Accuracy of HRCT Chest in Detection of Covid-19 Infection Taking PCR as Gold Standard

2021 ◽  
Vol 15 (6) ◽  
pp. 1679-1681
Author(s):  
Afaque Ali ◽  
Majid Shaikh ◽  
Ahsanullah . ◽  
Adeel Ahmed ◽  
Abid Ali Sahito ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Gold Standard ◽  
Cross Sectional Study ◽  
Radiology Department ◽  
High Resolution Computed Tomography ◽  
Cross Sectional ◽  
Head Of Department

Objective: To determine the diagnostic accuracy of High-resolution computed tomography (HRCT) chest in detection of covid-19 infection taking PCR as gold standard. Study Design: Cross-sectional study Setting: Radiology department of Tabba Hospital, Karachi. Duration: From March 2019 to September 2020 Material and Methods: All the clinically suspected patients of covid-19, of any age, both genders and those referred to radiology for High-resolution computed tomography (HRCT) chest to detect the covid-19 infection were included. After two days, patients’ PCR reports were collected from the ward, after taking informed consent and permission from head of department. The diagnostic accuracy of HRCT was established with respect to sensitivity, PPV, NPV, and specificity by taking PCR as gold standard. All the information was collected via study proforma. Results: Total 70 patients suspected for COVID-19 were studied, and the patients’ mean age was 58.23±9.52 years. Males were in majority 54(77.1%). As per HRCT findings, COVID-19 infection was positive in 46 patients, however, 48 patients were detected positive for COVID-19 infection as per PCR findings. In the detection of COVID-19 infection, HRCT chest showed sensitivity of 91%, specificity of 90%, PPV of 83%, NPV of 84% and diagnostic accuracy of 94%; by taking PCR as gold standard. Conclusion: High-resolution computed tomography (HRCT) is a reliable diagnostic approach in promptly detecting the COVID-19; with 91% sensitivity, 90% specificity, 83% positive predictive value, 84% negative predictive value and 94% diagnostic accuracy. Keywords: Accuracy, HRCT, COVID-19

scholarly journals High Resolution Computed Tomography of Thorax- Is it an Early Predictor of Hypoxaemia in COVID-19 Patients?

2021 ◽  
Author(s):  
Ajay Sharawat ◽  
Kamal Kumar Sen ◽  
Sangram Panda ◽  
Sudhansu Sekhar Mohanty ◽  
Darsana Bhuyan ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Clinical Severity ◽  
P Value ◽  
Study Group ◽  
High Resolution Computed Tomography ◽  
Pearson’S Correlation ◽  
Pearson's Correlation ◽  
Early Predictor

Introduction: Novel Coronavirus-2019 (nCoV-2019) is capable of human-to-human transmission and can lead to acute respiratory distress syndrome similar to Middle East Respiratory Syndrome (MERS) due to lung parenchyma destruction. Some patients with COVID-19 consistently demonstrated no hypoxaemia, however, some patients develop sense of difficulty in breathing due to increased airway resistance. Aim: To assess the potential of High Resolution Computed Tomography (HRCT) thorax as an early predictor of hypoxaemia in COVID-19 patients. Materials and Methods: A prospective longitudinal cohort study of 1000 Reverse Transcription Polymerase Chain Reaction (RT-PCR) confirmed COVID-19 and HRCT thorax positive patients, who were monitored simultaneously for SpO2 levels, were undertaken. HRCT findings were graded into Computerised Tomography Severity Index (CTSI) and correlated with patient’s SpO2 levels, at the time of scan on admission. Patients, who had normal SpO2 levels (≥95%) at the time of initial scan, were monitored upto five days. Pearson’s correlation test was used to find correlation between CTSI and SpO2 levels. Results: In present study group there was male predominance (4:1). Fever was the most common clinical presentation followed by cough. HRCT thorax features were categorised as Typical 769 (76.9%), Indeterminate 176 (17.6%) and atypical 55 (5.5%). 371 (82.8%) patients with SpO2 >95% were having CTSI between 0-7, similarly 189 (54.4%) patients with SpO290-94% were having CTSI between 8-15 and 133 (64.8%) patients with SpO2 <90% were having CTSI between 16-25. So, the present study categorised the patients into three groups- Category 1 (CTSI 0-7), Category 2 (CTSI 8-15) and Category 3 (CTSI 16-25) for better and prompt identification of clinical severity and their management. Majority of patients in CTSI category 1, 2 and 3 were having SpO2 levels ≥95%, 90-94% and <90%, respectively. Statistical correlation between CTSI and SpO2 levels at the time of initial scan was significant (Pearson’s correlation coefficient (r)=-0.261 and p-value <0.01). Number of patients who developed hypoxaemia (SpO2 <95%) on follow-up in CTSI Category 1, 2 and 3 were 42 (11.32%), 10 15.87%) and 2 (14.28%), respectively. The association between CTSI and development of hypoxaemia based on follow-up SpO2 levels was statistically found to be insignificant (chi-square value=1.21, degree of freedom (d.f.) 2 and p-value=0.570). Conclusion: In present study group, a negative correlation was established between CTSI and SpO2 levels. The association between CTSI and development of hypoxaemia on follow-up SpO2 monitoring was found to be non-significant statistically. So, HRCT thorax cannot be relied upon as an early predictor of hypoxaemia in COVID-19 patients.

scholarly journals Clinicoradiological Evaluation and Correlation of High-Resolution Computed Tomography Findings with Type 2 Diabetes Mellitus in Coronavirus Disease-19 Patients

2021 ◽  
Vol 10 (37) ◽  
pp. 3242-3246
Author(s):  
Sanjay Tukaram Thorat ◽  
Niyti Vinod Kaila ◽  
Parikshit Gajanan Mankar ◽  
Radhika Ratanlal Bajaj ◽  
Avanti Jayant Damle ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Computed Tomography ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Resolution ◽  
Severity Score ◽  
Density Lipoprotein ◽  
Glycated Haemoglobin ◽  
High Resolution Computed Tomography

BACKGROUND Type 2 diabetes mellitus (T2DM) has emerged as the leading comorbidity in patients with coronavirus disease 2019 (COVID-19). However, data obtained on the correlation between the incidences of T2DM with COVID-19 are limited. We wanted to assess the severity of patients with T2DM and COVID-19, and study the correlation between the high-resolution computed tomography (HRCT) findings and hyperglycaemia with disease severity. METHODS This cross-sectional study included 100 patients with a history of diabetes and diagnosed COVID-19 positive. Data were collected using a semi-structured questionnaire. P < 0.05 was considered statistically significant. RESULTS The mean age was 58.81 ± 11.43 years with male preponderance (71 %). The difference was statistically significant in mean glycated haemoglobin (HbA1c) (7.32 ± 1.39 %, P < 0.001), mean high - density lipoprotein (HDL ; 39.78 ± 6.76 mmol / L), low - density lipoprotein (LDL; 63.23 ± 13.36 mmol / L), and triglyceride (TG; 140.70 ± 43.57 mg / dL) levels (P < 0.05) in different CT severity score. Mean HbA1c (P < 0.001), LDL, and CT severity scores (P = 0.034 and P < 0.001) were highly significant in patients who died than the discharged patients. A significant positive correlation was seen between CT severity score with HbA1c, LDL, and TG levels and chances of death (P < 0.001) rates, and also between the patients who died and HbA1c (P < 0.001) and LDL (P = 0.034) levels and CT severity score (P < 0.001). CONCLUSIONS Ideal management of the metabolic equilibrium of glucose was crucial in assuring an improved clinical outcome. Increased surveillance was warranted for diabetic COVID-19 patients. KEY WORDS COVID-19, Glycated Haemoglobin A, Hyperglycaemia, Severe Acute Respiratory Syndrome Coronavirus 2

scholarly journals The Correlation Between Preoperative Findings of High-Resolution Computed Tomography (HRCT) and Intraoperative Findings of Chronic Otitis Media (COM)

2019 ◽  
Vol 12 ◽  
pp. 117955061987047 ◽  
Author(s):  
Mariam Aljehani ◽  
Rayan Alhussini
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Ct Scan ◽  
Otitis Media ◽  
Predictive Value ◽  
Chronic Otitis Media ◽  
Diagnostic Value ◽  
P Value ◽  
High Resolution Computed Tomography ◽  
Preoperative Ct

Objectives: The aim of this study was to investigate the correlation between the preoperative findings of high-resolution computed tomography (HRCT) of temporal bone in chronic otitis media (COM) and the intraoperative findings. Methods: This retrospective study was conducted in the ORL-HNS Unit at Ohud Hospital, Medina, Saudi Arabia, during the period from January to September 2018. We included all patients with COM, and an informed consent was obtained from all participants. The HRCT images were studied in comparison with the intraoperative findings. The parameters of comparison were tympanic membrane, middle ear structures, and the status of cholesteatoma. Results: A total of 39 patients were included in the analysis: 14 male and 25 female patients. The age range was 9 to 50 years. As a result of the comparison between HRCT findings and intraoperative observations, we found that incus erosion through computed tomography (CT) was the same as during surgical observation in 12 cases (30.8%). Malleus appeared eroded on CT in 1 case (2.6%); however, 5 cases were seen with that observation during operation (12.8%). Cholesteatoma was similarly seen in the CT scan and during surgery with a significant relation between intraoperative cholesteatoma extending and HRCT findings of the disease (95% confidence level, P-value = 0.001). The sensitivity, specificity, positive predictive value, and negative predictive value were 100% for detecting sigmoid plate erosion, dura exposure, incus erosion, stapes erosion, and malleus-incus joint discontinuity through preoperative CT. Conclusions: Intraoperative findings and HRCT have shown better results with good correlation of diagnostic value regarding the comparisons between recorded observations, especially in detecting sigmoidal plate erosion, dural exposure, incus and stapes erosion, and malleus-incus joint discontinuity. Preoperative CT scan is beneficial and contributory in the decision of indicating surgery to patients.

Acute Pulmonary Oxygen Toxicity in Rats: Findings and Lung Density Changes in High Resolution Computed Tomography

2000 ◽  
Vol 42 (3) ◽  
pp. 473
Author(s):  
Dae Sik Ryu ◽  
Kun Sang Kim ◽  
Kil Hyen Kang ◽  
Haing Sup Chung ◽  
Bung Wok Lee ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Oxygen Toxicity ◽  
High Resolution Computed Tomography ◽  
Lung Density

Determination of the Activity of Pulmonary Tuberculosis: the Utility of High-Resolution Computed Tomography

2000 ◽  
Vol 42 (5) ◽  
pp. 757
Author(s):  
Myung Hee Chung ◽  
Hae Giu Lee ◽  
Won Jong Yu ◽  
Hong Jun Chung ◽  
Bo Sung Yang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Pulmonary Tuberculosis ◽  
High Resolution Computed Tomography

Bone marrow densitometry by clinical high resolution computed tomography of human vertebrae

2014 ◽  
Author(s):  
Jaime Pena ◽  
Graeme Campbell ◽  
Timo Damm ◽  
Reinhard Barkmann ◽  
Sonja Waldhausen ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Bone Marrow ◽  
High Resolution ◽  
High Resolution Computed Tomography

Computed tomography in diagnosis of silicosis

2019 ◽  
pp. 39-41
Author(s):  
Alina S. Kovaleva ◽  
Igor V. Bukhtiyarov ◽  
Natalya S. Serova ◽  
Tatyana B. Burmistrova
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Respiratory System ◽  
Evidence Based Medicine ◽  
Occupational Disease ◽  
Occupational Medicine ◽  
Occupational Diseases ◽  
Evidence Based ◽  
High Resolution Computed Tomography ◽  
Based Medicine

Respiratory system diseases are one of the main problems in contemporary occupational medicine and exceed one fifth of all occupational diseases. Objective of the review was search and analysis of literature on diagnosis of silicosis as an important occupational disease of respiratory organs, by computed tomography and high-resolution computed tomography, from evidence-based medicine viewpoint.

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