Introduction: Due to lack of PCR kits in our area, as well as the extensive dissemination and peaking of COVID-19 since March 2020, our knowledge as radiologists has become increasingly relevant for recognizing CT patterns in order to diagnose and isolate COVID-19-infected patients. In 100 instances, the investigation began with the most prevalent CT chest abnormalities and the CT severity score index in relation to sex. The goal of this study is to better diagnose COVID-19-related lung injuries, enhance the diagnostic accuracy of chest CT scans, and track disease development in Mosul City. Materials and Methods: From June 2020 to January 2021, one hundred patients were enrolled in this cross-sectional study in Mosul, with 71 males (71%) and 29 females (29%) ranging in age from 15 to 85 years, mean SD (53.2317.80). Non contrast chest CT were done as part of investigation tool on patients were suspected COVID-19 infection. Results: A radiologist gathered data between 4 and 10 days after the onset of symptoms and evaluated it for lesion pattern, location, and severity. The commonest CT changes (ground glass opacity 55.23%, consolidation 17.44%, broncho vascular thickening 9.88%, crazy paving 5.81% and tree in bud 5.23%) were seen, along with less common pattern (bronchiectasis 1.74%, nodules 2.33%, reversed halo sign and pleural effusion 1.17%), and no lymphadenopathy were seen. Multilobe involvement was detected in 52/100 instances (68.92%), while peripheral affection was seen in 52/100 cases (65%). The higher CT severity score 4 and 5 with male gender were found to have a significant link (P value 0.002). Conclusion: CT pulmonary are useful as a physician's helper for management and as an excellent predictor of disease severity and patient outcome. In patients with COVID-19 positive infection, the CT scan severity score is highly linked to laboratory findings, hospital stay, and oxygen demands.
Coronavirus disease 2019 (COVID-19) emerged in early December 2019 in China, as an acute lower respiratory tract infection and spread rapidly worldwide being declared a pandemic in March 2020. Chest-computed tomography (CT) has been utilized in different clinical settings of COVID-19 patients; however, COVID-19 imaging appearance is highly variable and nonspecific. Indeed, many pulmonary infections and non-infectious diseases can show similar CT findings and mimic COVID-19 pneumonia. In this review, we discuss clinical conditions that share a similar imaging appearance with COVID-19 pneumonia, to identify imaging and clinical characteristics useful in the differential diagnosi Coronavirus disease 2019 (COVID-19) emerged in early December 2019 in China, as an acute lower respiratory tract infection and spread rapidly worldwide being declared a pandemic in March 2020. Chest-computed tomography (CT) has been utilized in different clinical settings of COVID-19 patients; however, COVID-19 imaging appearance is highly variable and nonspecific. Indeed, many pulmonary infections and non-infectious diseases can show similar CT findings and mimic COVID-19 pneumonia. In this review, we discuss clinical conditions that share a similar imaging appearance with COVID-19 pneumonia, to identify imaging and clinical characteristics useful in the differential diagnosi Coronavirus disease 2019 (COVID-19) emerged in early December 2019 in China, as an acute lower respiratory tract infection and spread rapidly worldwide being declared a pandemic in March 2020. Chest-computed tomography (CT) has been utilized in different clinical settings of COVID-19 patients; however, COVID-19 imaging appearance is highly variable and nonspecific. Indeed, many pulmonary infections and non-infectious diseases can show similar CT findings and mimic COVID-19 pneumonia. In this review, we discuss clinical conditions that share a similar imaging appearance with COVID-19 pneumonia, to identify imaging and clinical characteristics useful in the differential diagnosi Coronavirus disease 2019 (COVID-19) emerged in early December 2019 in China, as an acute lower respiratory tract infection and spread rapidly worldwide being declared a pandemic in March 2020. Chest-computed tomography (CT) has been utilized in different clinical settings of COVID-19 patients; however, COVID-19 imaging appearance is highly variable and nonspecific. Indeed, many pulmonary infections and non-infectious diseases can show similar CT findings and mimic COVID-19 pneumonia. In this review, we discuss clinical conditions that share a similar imaging appearance with COVID-19 pneumonia, to identify imaging and clinical characteristics useful in the differential diagnosi Coronavirus disease 2019 (COVID-19) emerged in early December 2019 in China, as an acute lower respiratory tract infection and spread rapidly worldwide being declared a pandemic in March 2020. Chest-computed tomography (CT) has been utilized in different clinical settings of COVID-19 patients; however, COVID-19 imaging appearance is highly variable and nonspecific. Indeed, many pulmonary infections and non-infectious diseases can show similar CT findings and mimic COVID-19 pneumonia. In this review, we discuss clinical conditions that share a similar imaging appearance with COVID-19 pneumonia, to identify imaging and clinical characteristics useful in the differential diagnosis Coronavirus disease 2019 (COVID-19) emerged in early December 2019 in China, as an acute lower respiratory tract infection and spread rapidly worldwide being declared a pandemic in March 2020. Chest-computed tomography (CT) has been utilized in different clinical settings of COVID-19 patients; however, COVID-19 imaging appearance is highly variable and nonspecific. Indeed, many pulmonary infections and non-infectious diseases can show similar CT findings and mimic COVID-19 pneumonia. In this review, we discuss clinical conditions that share a similar imaging appearance with COVID-19 pneumonia, to identify imaging and clinical characteristics useful in the differential diagnosis Coronavirus epidemic 2019, known as (COVID-19) first appeared in China early December 2019 like an acute lower respiratory system illness as well as quickly expanded around the globe, eventually becoming a global in March 2020. COVID-19 individuals have undergone chest computed tomography (CT) in a variety of therapeutic settings; nonetheless, the look of COVID-19 scanning is very varied or vague. Several lung illnesses, such as bacterial pneumonia, A-typical bacterial pneumonias, viral pneumonia, fungal infection, and hypersensitivity pneumonia Super-infection/co-infection, might resemble COVID-19 pneumonia in CT. Inside this study, we detected or treated which have comparable visual appearances with COVID-19 pneumonia through order to obtain image and medical features that might help with diagnostic process.
Background At our local hospital MRI scans of children with developmental disabilities are reviewed by radiologists who provide the preliminary report. It is the choice of the treating paediatrician to seek further specialist paediatric neuroradiologist’s opinion. Aim Did differences in local and specialist opinion impact on diagnosis? Method Concurrent MRI scan reports of children with neurodisabilities from the local radiologist and the neuroradiologist were compared. Result 63 children had reports from local and specialist radiologist. All had neurodevelopmental difficulties from mild to severe range. The results were divided into three categories: Group 1: Where there was significant difference in opinion: 26 reports (41%) Periventricular leucomalacia (PVL) was detected in 11 of which 10 had spastic cerebral palsy. Other cases included the following: antenatal hypoxic Ischaemic encephalopathy (3), thinning or agenesis of corpus callosum (4), disorder of myelination (3). The specialist was more likely to detect disturbances of myelination, (delay, loss or degeneration) The specialist also ruled out (6%) white matter loss (3) and absent corpus callosum (1) reported by the local radiologist. Group 2: Where there was no difference in opinion: 29 reports (47%) The majority of these children (15) had global developmental delay without spasticity. Other cases included tonsilar herniation (2) Corpus callosum dysgenesis (2) hypoxic ischaemic encephalopathy (1) periventricular leucomalacia PVL (2), Cytomegalovirus infection (2) and hemisphere infarct (1) autism (2). Group 3: Only subtle differences in report which did not impact on diagnosis: 8 reports (13%) These included arachnoid cysts, aberrant patterns of myelination, age consistent delay in myelination and benign extra cerebral space enlargement. Conclusion This study showed that a paediatric neuroradiologist’s opinion is important and could impact on the diagnosis very significantly. They detected and ruled out abnormalities in 41% of cases resulting in conclusive diagnosis compatible with clinical findings. Periventricular leucomalacia (PVL) was more likely to be detected by the neuroradiologist and was the commonest finding contributing to clinical diagnosis. In children with global delay with no spasticity the reports were likely to be similar. Subtle white matter abnormalities were also more likely to be detected by the specialist.
Introduction and Aim: Coronavirus disease (COVID-19) is a viral infection that can lead to severe respiratory disease. Radiological examinations mainly computed tomography (CT) and Chest x-ray (CXR) play a role in diagnosis, follow-up, and management of COVID-19 infection. The purpose of this study was to look into the extent of using chest imaging in COVID-19 infection, as well to see if chest imaging in COVID-19 infections is justified and guided by clinical recommendation in Mosul, Iraq. Materials and Methods: This cross-sectional study involved 245 people (93 males and 152 females), infected previously with COVID-19 infection in Mosul, Iraq. The participants were asked to self-complete an anonymous questionnaire. Data obtained was subjected to statistical analysis. Results: The 245 participants had an average age of 25.7 ±8.44 years. The study sample included 57 (23.2%) with low education and 188 (76.7%) with moderate to high education. Among the radiological examinations undergone by these participants, chest X-ray (CXR) was the most common followed by chest computed tomography scan (CT scan). The CXR and the CT scan were done during the patient's illness either for diagnosis or follow-up of the disease. Non-clinically recommended examinations were reported by 64% and 20% of patients who undertook CXR and CT scan respectively, during COVID-19 illness. Higher education status was associated with a tendency to do non-recommended CXR examination during COVID-19 infection. Conclusion: CXR and CT imaging are the most commonly used radiological examinations in the diagnosis and follow-up in COVID-19 infection. However, a non-clinically recommended utilization of these examinations was noted in Mosul, Iraq during the pandemic. Therefore, educating people of this region about the limitation of non-justified uses of imaging is essential for healthy maintenance of individuals, environment, and resources.
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