scholarly journals COVID-19 pneumonia: computer-aided quantification of healthy lung parenchyma, emphysema, ground glass and consolidation on chest computed tomography (CT)

2020 ◽  
Author(s):  
Roberto Grassi ◽  
Maria Paola Belfiore ◽  
Alessandro Montanelli ◽  
Gianluigi Patelli ◽  
Fabrizio Urraro ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lung Parenchyma ◽  
Ground Glass ◽  
Chest Computed Tomography ◽  
Computer Aided ◽  
Healthy Lung

scholarly journals Pure ground-glass opacity on chest computed tomography: predictive factors for invasive adenocarcinoma

2016 ◽  
Vol 8 (7) ◽  
pp. 1561-1570 ◽  
Author(s):  
Youngkyu Moon ◽  
Sook Whan Sung ◽  
Kyo Young Lee ◽  
Sung Bo Sim ◽  
Jae Kil Park
Keyword(s):  
Computed Tomography ◽  
Predictive Factors ◽  
Ground Glass Opacity ◽  
Ground Glass ◽  
Invasive Adenocarcinoma ◽  
Chest Computed Tomography

scholarly journals Bronchial Leech Infestation in a 15-Year-Old Female

2016 ◽  
Vol 2016 ◽  
pp. 1-4
Author(s):  
Mohammad Ashkan Moslehi ◽  
Mohammad Hadi Imanieh ◽  
Ali Adib
Keyword(s):  
Computed Tomography ◽  
Foreign Body ◽  
Young Children ◽  
Lower Lobe ◽  
Foreign Body Aspiration ◽  
Ground Glass ◽  
Chest Computed Tomography ◽  
X Ray ◽  
Chest X Ray ◽  
The Right

Foreign body aspiration (FBA) is a common incidence in young children. Leeches are rarely reported as FBA at any age. This study describes a 15-year-old female who presented with hemoptysis, hematemesis, coughs, melena, and anemia seven months prior to admission. Chest X-ray showed a round hyperdensity in the right lower lobe. A chest computed tomography (CT) demonstrated an area of consolidation and surrounding ground glass opacities in the right lower lobe. Hematological investigations revealed anemia. Finally, bronchoscopy was performed and a 5 cm leech was found within the rightB7-8bronchus and removed by forceps and a Dormia basket.

The future of computer-aided diagnostics in chest computed tomography

2019 ◽  
pp. 91
Author(s):  
A. E. Nikolaev ◽  
V. Yu. Chernina ◽  
I. A. Blokhin ◽  
A. N. Shapiev ◽  
A. P. Gonchar ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Chest Computed Tomography ◽  
Computer Aided ◽  
The Future

Elderly case of non-mucinous bronchioloalveolar carcinoma showing diffuse ground-glass changes on chest computed tomography

2003 ◽  
Vol 3 (3) ◽  
pp. 164-167
Author(s):  
Masayuki Kikawada ◽  
Kentarou Hirao ◽  
Takeshi Shimizu ◽  
Masanori Uno ◽  
Toshihiko Iwamoto ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Ground Glass ◽  
Bronchioloalveolar Carcinoma ◽  
Chest Computed Tomography

scholarly journals Probable vertical transmission identified within six hours of life

2020 ◽  
Vol 66 (12) ◽  
pp. 1621-1624
Author(s):  
Fabrício Silva Pessoa ◽  
Marynéa Silva do Vale ◽  
Patrícia Franco Marques ◽  
Susana da Silva Figueira ◽  
Izabel Athayde da Silva Cruz Salgado ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cesarean Section ◽  
Vertical Transmission ◽  
Pregnant Patient ◽  
Ambient Air ◽  
Ground Glass ◽  
Rt Pcr ◽  
Chest Computed Tomography ◽  
Contact Isolation ◽  
Neonatal Icu

SUMMARY We present the case of 33 weeks + weeks pregnant patient (G1P0), with proven COVID-19 infection by RT-PCR and, at admission, she presented with a dry cough and “tiredness when talking,”. Chest computed tomography was performed, which showed the presence of attenuations with ground glass opacification and bilateral consolidations. She then had a cesarean section because of maternal respiratory decompensation. She was transferred to the ICU of the same hospital with an O2 catheter. The newborn was transferred to the neonatal ICU of the same hospital in ambient air and maintained in respiratory and contact isolation. RT-PCR was collected for SARS-COV-2 at 6 h of life, which was positive. Faced with the knowledge gap on vertical transmission, RT-PCR for SARS-COV-2 at 6 h of life gives cause for concern, thus representing the possibility of vertical transmission by SARS-COV-2, although additional investigations are required.

scholarly journals Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts

10.2196/19087 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e19087 ◽  
Author(s):  
Chunmei Huang ◽  
Xinjie Xu ◽  
Yuyang Cai ◽  
Qinmin Ge ◽  
Guangwang Zeng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Social Media ◽  
Median Time ◽  
Ground Glass ◽  
Common Symptom ◽  
Sina Weibo ◽  
Chest Computed Tomography ◽  
Illness Onset ◽  
Seeking Help ◽  
Epidemiological Characteristics

Background In December 2019, pneumonia cases of unknown origin were reported in Wuhan City, Hubei Province, China. Identified as the coronavirus disease (COVID-19), the number of cases grew rapidly by human-to-human transmission in Wuhan. Social media, especially Sina Weibo (a major Chinese microblogging social media site), has become an important platform for the public to obtain information and seek help. Objective This study aims to analyze the characteristics of suspected or laboratory-confirmed COVID-19 patients who asked for help on Sina Weibo. Methods We conducted data mining on Sina Weibo and extracted the data of 485 patients who presented with clinical symptoms and imaging descriptions of suspected or laboratory-confirmed cases of COVID-19. In total, 9878 posts seeking help on Sina Weibo from February 3 to 20, 2020 were analyzed. We used a descriptive research methodology to describe the distribution and other epidemiological characteristics of patients with suspected or laboratory-confirmed SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infection. The distance between patients’ home and the nearest designated hospital was calculated using the geographic information system ArcGIS. Results All patients included in this study who sought help on Sina Weibo lived in Wuhan, with a median age of 63.0 years (IQR 55.0-71.0). Fever (408/485, 84.12%) was the most common symptom. Ground-glass opacity (237/314, 75.48%) was the most common pattern on chest computed tomography; 39.67% (167/421) of families had suspected and/or laboratory-confirmed family members; 36.58% (154/421) of families had 1 or 2 suspected and/or laboratory-confirmed members; and 70.52% (232/329) of patients needed to rely on their relatives for help. The median time from illness onset to real-time reverse transcription-polymerase chain reaction (RT-PCR) testing was 8 days (IQR 5.0-10.0), and the median time from illness onset to online help was 10 days (IQR 6.0-12.0). Of 481 patients, 32.22% (n=155) lived more than 3 kilometers away from the nearest designated hospital. Conclusions Our findings show that patients seeking help on Sina Weibo lived in Wuhan and most were elderly. Most patients had fever symptoms, and ground-glass opacities were noted in chest computed tomography. The onset of the disease was characterized by family clustering and most families lived far from the designated hospital. Therefore, we recommend the following: (1) the most stringent centralized medical observation measures should be taken to avoid transmission in family clusters; and (2) social media can help these patients get early attention during Wuhan’s lockdown. These findings can help the government and the health department identify high-risk patients and accelerate emergency responses following public demands for help.

scholarly journals Prediction of lethal outcomes in COVID-19 cases based on the results chest computed tomography

2020 ◽  
Vol 98 (6) ◽  
pp. 7-14
Author(s):  
S. P. Morozov ◽  
V. A. Gombolevskiy ◽  
V. Yu. Cherninа ◽  
I. A. Blokhin ◽  
O. A. Mokienko ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Overall Survival ◽  
Russian Federation ◽  
Lung Parenchyma ◽  
Chest Ct ◽  
Lethal Outcome ◽  
Exclusion Criteria ◽  
Chest Computed Tomography ◽  
Risk Of Death ◽  
The Russian Federation

The objective: to predict lethal outcomes in patients with COVID-19 based on the result of chest computed tomography (chest CT) using a semi-quantitative visual scale of the pulmonary parenchyma lesion.Subjects and methods. Inclusion criteria: patients who underwent chest CT from March 2 to May 1, 2020, inclusively, upon referral of a general practitioner due to suspected community-acquired pneumonia caused by COVID-19. Chest CT was performed in 48 medical organizations providing primary medical care to the adult population in Moscow. Exclusion criteria: patients whose chest CT was not assessed by CT 0-4 score; patients who were not confirmed as COVID-19 positive.In the Russian Federation, CT 0-4 score is recommended to be used for assessment of the extent of lung parenchyma lesion in cases with suspected COVID-19.Data on fatal outcomes were received on May 4, 2020 inclusive.Results: data of 13,003 patients from the Unified Radiological Information Service were retrospectively included in the study according to inclusion and exclusion criteria. The test aimed to detect a trend of directional changes in the proportion of deceased patients among various categories using CT 0-4 score demonstrated a statistically significant result (p < 0.0001). The chance of a lethal outcome increases directionally from CT-0 to CT-4. The test for deviations from the linear trend also provided p < 0.0001, i.e. when moving to higher scores (CT-3 and CT-4), there was an accelerated increase in the risk of death. Analysis of overall survival using the Cox regression model showed that the assessed factors (age and CT 0-4 score) were statistically significantly associated with the time to death from COVID-19 (p < 0.05). The risk of death increased with age, on average, 8.6% for every 5 years (95% CI 0.8-17.0%). When transferring from one category of CT to the next one, the risk increased by 38% on the average (95% CI 17.1-62.6%). There was no statistically significant association of gender factor with overall survival (p = 0.408).The visual score of CT 0-4 recommended for use in the Russian Federation to assess lung parenchyma lesions according to chest CT data, is a predictor of a lethal outcome in patients with COVID-19. CT 0-4 score is convenient for practical use.

scholarly journals COVID-19: What Iodine Maps From Perfusion CT can reveal—A Prospective Cohort Study

Critical Care ◽  
2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Mario G. Santamarina ◽  
Dominique Boisier Riscal ◽  
Ignacio Beddings ◽  
Roberto Contreras ◽  
Martiniano Baque ◽  
...  
Keyword(s):  
Cohort Study ◽  
Lung Parenchyma ◽  
Lung Perfusion ◽  
Ground Glass ◽  
Rt Pcr ◽  
Perfusion Abnormality ◽  
Mixed Pattern ◽  
Iodine Maps ◽  
Healthy Lung ◽  
Apparently Healthy

Abstract Background Subtraction CT angiography (sCTA) is a technique used to evaluate pulmonary perfusion based on iodine distribution maps. The aim of this study is to assess lung perfusion changes with sCTA seen in patients with COVID-19 pneumonia and correlate them with clinical outcomes. Material and methods A prospective cohort study was carried out with 45 RT-PCR-confirmed COVID-19 patients that required hospitalization at three different hospitals, between April and May 2020. In all cases, a basic clinical and demographic profile was obtained. Lung perfusion was assessed using sCTA. Evaluated imaging features included: Pattern predominance of injured lung parenchyma in both lungs (ground-glass opacities, consolidation and mixed pattern) and anatomical extension; predominant type of perfusion abnormality (increased perfusion or hypoperfusion), perfusion abnormality distribution (focal or diffuse), extension of perfusion abnormalities (mild, moderate and severe involvement); presence of vascular dilatation and vascular tortuosity. All participants were followed-up until hospital discharge searching for the development of any of the study endpoints. These endpoints included intensive-care unit (ICU) admission, initiation of invasive mechanical ventilation (IMV) and death. Results Forty-one patients (55.2 ± 16.5 years, 22 men) with RT-PCR-confirmed SARS-CoV-2 infection and an interpretable iodine map were included. Patients with perfusion anomalies on sCTA in morphologically normal lung parenchyma showed lower Pa/Fi values (294 ± 111.3 vs. 397 ± 37.7, p = 0.035), and higher D-dimer levels (1156 ± 1018 vs. 378 ± 60.2, p < 0.01). The main common patterns seen in lung CT scans were ground-glass opacities, mixed pattern with predominant ground-glass opacities and mixed pattern with predominant consolidation in 56.1%, 24.4% and 19.5% respectively. Perfusion abnormalities were common (36 patients, 87.8%), mainly hypoperfusion in areas of apparently healthy lung. Patients with severe hypoperfusion in areas of apparently healthy lung parenchyma had an increased probability of being admitted to ICU and to initiate IMV (HR of 11.9 (95% CI 1.55–91.9) and HR 7.8 (95% CI 1.05–61.1), respectively). Conclusion Perfusion abnormalities evidenced in iodine maps obtained by sCTA are associated with increased admission to ICU and initiation of IMV in COVID-19 patients.

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