{"title":"High Resolution Computed Tomography Features of Third Wave of COVID-19 Pneumonia in Confirmed Cases","authors":"Abdul Malik Hayat, S. Bhatti","doi":"10.4236/act.2021.102002","DOIUrl":"https://doi.org/10.4236/act.2021.102002","url":null,"abstract":"COVID-19 which is caused by its new type called SARS-CoV-2 is a viral disease predominantly involving the lungs. Objective: To investigate HRCT features of pulmonary disease in COVID-19 in Lahore, Pakistan. Methods: This is a prospective study that involved 127 COVID-19 positive patients (age 18 - 80 years, both genders) through non-probability sampling was conducted at the Radiology Department, Sir Ganga Ram Hospital, Lahore, in 2021. All patients with RT-PCR positive underwent HRCT chest. All findings in HRCT chest were assessed. Confirmed patients had positive HRCT. Excluded situations are low quality of images irrespective of its reason, HRCT indications other than COVID-19 pneumonia, and patients who do not want to participate in the study Results: Considering the exclusion and inclusion criteria, totally 127 COVID-19 confirmed patients ranging age from 18 to 80 years with a mean age of 52 ± 18 years, took part in this study. The most important and common HRCT finding was the multilobar ground-glass pattern which was present in 95% of patients. Other findings including, crazy paving pattern, consolidation, air bronchogram, and bronchiectasis were present in 8.7%, 82%, 63%, and 37% of patients respectively. Pleural effusion seen in 21% patients. 16% of patients had mediastinal lymphadenopathy. Conclusion: In our study, the ground-glass pattern was found to be the most common and important HRCT finding in patients confirmed with COVID-19 pneumonia. This important HRCT pattern is mostly found to be in posterobasal and peripheral subpleural locations. Other than ground-glass pattern, bronchiectasis, and consolidation having the air bronchogram were also reported commonly.","PeriodicalId":407440,"journal":{"name":"Advances in Computed Tomography","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133058039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Shetewi, Bander S. Al Mutairi, Saeed M. Bafaraj
{"title":"The Role of Imaging in Examining Neurological Disorders; Assessing Brain, Stroke, and Neurological Disorders Using CT and MRI Imaging","authors":"S. Shetewi, Bander S. Al Mutairi, Saeed M. Bafaraj","doi":"10.4236/act.2020.91001","DOIUrl":"https://doi.org/10.4236/act.2020.91001","url":null,"abstract":"Background: \u0000Neurological disorder is identified as a severe cause of mortality among the \u0000patients. Given the severity of the disorder, various tools have been developed \u0000for the effective scanning of the symptoms and causes. Objective: The study \u0000intends to compare the two advanced neuroimaging tools i.e. computed tomography (CT) and magnetic resonance imaging (MRI) \u0000for assessing the patients of the possible brain, stroke, and neurological \u0000disorders concern their neurological symptoms and signs. Method: The \u0000retrospective study was conducted and medical records of 151 patients were \u0000assessed statistically. Chi-square test was applied to the collected data. \u0000Results: The results of the study provided that multiple seizures (15.2%) \u0000served as the major cause of examination, followed by a headache (9.9%), visual \u0000complaint (7.9%), single seizure (5.3%), gait abnormality (3.3%) and altered \u0000consciousness (2.6%); whereas, speech difficulty remained low (1.3%). CT scan \u0000findings of the patients reported parieto-temporal area and development of \u0000acute hypo densities as the prime concerns, where its results remained insignificant (0.29). Using \u0000MRI, unremarkable MRI was majorly reported, followed by lateralized to one side, \u0000stable MRI feature, bilateral symptoms, and ischemic disease. The results of \u0000MRI were significant (0.00). Conclusion: The study concludes that magnetic \u0000resonance imaging is more effective for the evaluation of the neurological disorders as \u0000compared to CT scan.","PeriodicalId":407440,"journal":{"name":"Advances in Computed Tomography","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122384893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tuberculosis Detection from Computed Tomography with Convolutional Neural Networks","authors":"Xudong Liu, Hao Lei, Sicun Han","doi":"10.4236/act.2019.84005","DOIUrl":"https://doi.org/10.4236/act.2019.84005","url":null,"abstract":"Convolutional neural network (CNN), \u0000a class of deep neural networks (most commonly used in visual image analysis), \u0000has become one of the most influential innovations in the field of computer \u0000vision. In our research, we built a system which allows the computer to extract \u0000the feature and recognize the image of human lungs and to automatically \u0000conclude the health level of the lungs based on database. Here, we built a CNN \u0000model to train the datasets. After the training, the system could do certain \u0000preliminary analysis already. In addition, we used the fixed coordinate to \u0000reduce the noise and combined the Canny algorithm and the Mask algorithm to \u0000further improve the accuracy of the system. The final accuracy turned out to be \u000087.0%, which is convincing. Our system can contribute a lot to the efficiency \u0000and accuracy of doctors’ analysis of the patients’ health level. In the future, \u0000we will do more improvement to reduce noise and increase accuracy.","PeriodicalId":407440,"journal":{"name":"Advances in Computed Tomography","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134312230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study of Radiation Doses in Adult and Paediatric Patients Undergoing Computed Tomography Examination in Nigeria","authors":"S. M. Ngaram, I. Mohammed","doi":"10.4236/act.2019.83004","DOIUrl":"https://doi.org/10.4236/act.2019.83004","url":null,"abstract":"The use of computed tomography (CT) has increased over the past decades and has resulted in a concurrent increase in medical exposure to ionizing radiation. Several recent studies have examined the link between medical radiation and the risk of cancer, especially in children. Results are presented in terms of the volumetric computed tomography dose index (CTDIvol) and dose length product (DLP) for head, chest and abdomen. The 75th percentile of adult CTDIvol for head, chest and abdomen are 85 mGy, 13.34 mGy and 13.29 mGy respectively and the corresponding DLP values 1437.47 mGy·cm, 417.49 and 656.02 mGy·cm. However, the paediatric head based on age group 0 - 1 yr, 1 - 5 yrs, 6 - 10 yrs and 11 - 15 years are 28.18 mGy, 32.12 mGy, 32.13 mGy and 28.20 mGy and corresponding DLP values 399.75 mGy·cm, 514.38 mGy·cm, 578.42 mGy·cm and 487.11 mGy·cm respectively and for paediatric abdomen from 1 - 5 years to 11 - 15 years are 3.98 mGy, 4.26 mGy and 5.92 mGy and the corresponding DLP 99.36 mGy·cm, 160.84 and 235.85 mGy·cm. The finding shows considerably high CTDIvol and DLP values for adult head comparable to the international standard thus optimization is required. Reduction in radiation doses for both adult and paediatric patients involve training of staff and optimize CT protocols.","PeriodicalId":407440,"journal":{"name":"Advances in Computed Tomography","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121733965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Tomizawa, Hiroaki Arakawa, Kodai Yamamoto, Shinichi Inoh, T. Nojo, S. Nakamura
{"title":"Simplified Bernoulli Formula to Diagnose Ischemia-Causing Stenosis at Coronary CT Angiography: Comparison with SPECT","authors":"N. Tomizawa, Hiroaki Arakawa, Kodai Yamamoto, Shinichi Inoh, T. Nojo, S. Nakamura","doi":"10.4236/ACT.2019.82002","DOIUrl":"https://doi.org/10.4236/ACT.2019.82002","url":null,"abstract":"Purpose: To compare the diagnostic performance of estimated energy loss (EEL) calculated using a simplified Bernoulli formula at coronary computed tomography (CT) and single photon emission computed tomography (SPECT) to diagnose ischemia-causing stenosis by invasive fractional flow reserve (FFR). Methods: We retrospectively included 43 patients who underwent coronary CT, SPECT, and FFR measurement by catheter within 3 months. When an intermediate stenosis (40% - 70%) was present at CT, EEL was calculated using the following parameters: lesion length, diameter stenosis, minimal lumen area, and the myocardial volume. An EEL > 1.17 or diameter stenosis > 70% was determined ischemic. Stress-induced ischemia by SPECT was determined when a perfusion defect at stress was accompanied with a fill-in at rest. An FFR ≤ 0.80 or diameter stenosis >70 % was determined as ischemic by catheter. Results: A total of 26 vessels were determined as ischemic by catheter exam. The per-vessel sensitivity and specificity of EEL and SPECT were 81% vs 42% and 92% vs 91%, respectively. The accuracy of EEL to diagnose stenosis causing ischemia was significantly higher than SPECT (90% vs 81%, p = 0.04). The area under the curve of the receiver operating characteristics curve was also significantly higher for EEL than SPECT (0.86 vs 0.67, p < 0.005). Conclusions: EEL showed higher accuracy than SPECT to diagnose ischemia-causing stenosis by improving the sensitivity.","PeriodicalId":407440,"journal":{"name":"Advances in Computed Tomography","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125888308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kenji Nakamura, Katsuhiko Maeda, M. Tanooka, Shuhei Aoyama, R. Ishikura, N. Kotoura
{"title":"Computed Tomography Using a Low Tube Voltage Technique for Acute Ischemic Stroke","authors":"Kenji Nakamura, Katsuhiko Maeda, M. Tanooka, Shuhei Aoyama, R. Ishikura, N. Kotoura","doi":"10.4236/ACT.2019.82003","DOIUrl":"https://doi.org/10.4236/ACT.2019.82003","url":null,"abstract":"Computed tomography (CT) is commonly used to assess for cerebral hemorrhage and acute ischemic stroke. We investigated the accuracy of CT using a low tube voltage technique in acute ischemic stroke. We compared the standard deviation (SD), contrast between gray and white matter, and contrast-to-noise ratio (CNR) between three groups (120 kV 500 mAs, 100 kV 850 mAs, and 100 kV 750 mAs using hybrid iterative reconstruction) in 50 patients without lesions, and visual evaluation using the normalized rank approach was also performed. The mean value of SD was 4.02, 4.22, and 4.04, respectively, and the contrast between gray and white matter was 7.08, 8.66, and 8.68 HU, respectively; in addition, the CNR was 1.77, 2.06, and 2.15, respectively. The difference between the 100 kV and 120 kV groups was significant (p < 0.01). Visual evaluation showed a significant difference between the 100 and 120 kV groups (p < 0.05).","PeriodicalId":407440,"journal":{"name":"Advances in Computed Tomography","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126709892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Islam, K. Fatema, F. Shams, S. Kamal, Anjuman Ara, Md Abdullah Yusuf
{"title":"High Resolution Computed Tomography Scan Findings of Chest among Hospitalized COVID-19 Patients at a Dedicated Hospital in Dhaka City during the First Wave of Pandemic","authors":"M. Islam, K. Fatema, F. Shams, S. Kamal, Anjuman Ara, Md Abdullah Yusuf","doi":"10.4236/act.2022.111001","DOIUrl":"https://doi.org/10.4236/act.2022.111001","url":null,"abstract":"","PeriodicalId":407440,"journal":{"name":"Advances in Computed Tomography","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130569771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}