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Artikel ; Online: CT imaging features of 34 patients infected with COVID-19.

Zhang, Litao / Kong, Xue / Li, Xiujuan / Zhu, Jianzhong / Liu, Shanping / Li, Weiwei / Xu, Chunlin / Du, Huanwang / Jing, Hui / Xu, Jiahuan / Shi, Tongtong / Xie, Yuanzhong

Clinical imaging

2020 Band 68, Seite(n) 226–231

Abstract: ... The pleural effusion was seen in one patient. Follow-up imaging in 19 patients during the study time window ... Objective: To retrospectively analyze the CT findings in patients infected ... in all of patients. The clinical, laboratory and CT imaging were available to evaluate in all patients.: Results ...

Abstract	Objective: To retrospectively analyze the CT findings in patients infected with Coronavirus disease 2019 (COVID-19). Materials and methods: The thirty-four cases, 15 females and 19 males, with an age ranging from 7 to 88 years old, confirmed by real-time reverse-transcriptase-polymerase chain reaction (RT-PCR), were used for our study. All thin-section CT scans of the lungs were performed in all of patients. The clinical, laboratory and CT imaging were available to evaluate in all patients. Results: The patients present with fever (85.29%, n = 29), cough (67.65%, n = 23), fatigue or myalgia (26.47%, n = 9), and pharyngalgia (8.82%, n = 3). The 4 patients (11.76%) with no symptoms were identified during screening for close contacts, who had typical CT findings. On initial CT scans, the bilateral lung involved was shown in 24 cases (70.59%), while 29 (82.35%) cases were distributed in peripheral. The pure ground glass opacity (GGO) was shown in 18 cases (52.94%), the GGO with consolidation was in 12 cases (35.29%), and full consolidation only in 3 cases. The lesion with air bronchogram was seen in 14 (41.18%) cases, with enlarged blood vessel in 17 (50.00%) cases, with crazy-paving pattern in 8 (23.53%) cases, with fine reticular pattern in 4 (11.77%) cases, and with intralesional vacuole sign in 6 (17.65%) cases. The pleural effusion was seen in one patient. Follow-up imaging in 19 patients during the study time window demonstrated mild, moderate or severe progression of disease, as manifested by increasing extent and density of lung opacities. Conclusions: The bilateral GGO with air bronchogram, enlarged blood vessel, fine reticular pattern, and peripheral distribution are the early CT findings of COVID-19. The crazy-paving pattern and intralesional vacuole sign are the features of progressive stage.
Mesh-Begriff(e)	Adolescent ; Adult ; Aged ; Aged, 80 and over ; Betacoronavirus ; Blood Vessels/pathology ; COVID-19 ; Child ; Coronavirus ; Coronavirus Infections/complications ; Coronavirus Infections/diagnostic imaging ; Coronavirus Infections/pathology ; Coronavirus Infections/virology ; Cough/etiology ; Female ; Humans ; Hypertrophy ; Lung/diagnostic imaging ; Lung/pathology ; Lung/virology ; Male ; Middle Aged ; Pandemics ; Pleural Effusion/etiology ; Pneumonia, Viral/complications ; Pneumonia, Viral/diagnostic imaging ; Pneumonia, Viral/pathology ; Pneumonia, Viral/virology ; Retrospective Studies ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods ; Young Adult
Schlagwörter	covid19
Sprache	Englisch
Erscheinungsdatum	2020-05-16
Erscheinungsland	United States
Dokumenttyp	Journal Article
ZDB-ID	1028123-x
ISSN	1873-4499 ; 0899-7071
ISSN (online)	1873-4499
ISSN	0899-7071
DOI	10.1016/j.clinimag.2020.05.016
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: CT imaging features of 34 patients infected with COVID-19

Zhang, Litao / Kong, Xue / Li, Xiujuan / Zhu, Jianzhong / Liu, Shanping / Li, Weiwei / Xu, Chunlin / Du, Huanwang / Jing, Hui / Xu, Jiahuan / Shi, Tongtong / Xie, Yuanzhong

Clinical Imaging

2020 Band 68, Seite(n) 226–231

Schlagwörter	Radiology Nuclear Medicine and imaging ; covid19
Sprache	Englisch
Verlag	Elsevier BV
Erscheinungsland	us
Dokumenttyp	Artikel ; Online
ZDB-ID	1028123-x
ISSN	0899-7071
ISSN	0899-7071
DOI	10.1016/j.clinimag.2020.05.016
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Artikel: CT imaging features of 34 patients infected with COVID-19

Zhang, Litao / Kong, Xue / Li, Xiujuan / Zhu, Jianzhong / Liu, Shanping / Li, Weiwei / Xu, Chunlin / Du, Huanwang / Jing, Hui / Xu, Jiahuan / Shi, Tongtong / Xie, Yuanzhong

Clin Imaging

Abstract: ... The pleural effusion was seen in one patient. Follow-up imaging in 19 patients during the study time window ... Objective: To retrospectively analyze the CT findings in patients infected with Coronavirus disease ... in all of patients. The clinical, laboratory and CT imaging were available to evaluate in all patients. Results ...

Abstract	Objective: To retrospectively analyze the CT findings in patients infected with Coronavirus disease 2019 (COVID-19). Materials and methods: The thirty-four cases, 15 females and 19 males, with an age ranging from 7 to 88 years old, confirmed by real-time reverse-transcriptase-polymerase chain reaction (RT-PCR), were used for our study. All thin-section CT scans of the lungs were performed in all of patients. The clinical, laboratory and CT imaging were available to evaluate in all patients. Results: The patients present with fever (85.29%, n = 29), cough (67.65%, n = 23), fatigue or myalgia (26.47%, n = 9), and pharyngalgia (8.82%, n = 3). The 4 patients (11.76%) with no symptoms were identified during screening for close contacts, who had typical CT findings. On initial CT scans, the bilateral lung involved was shown in 24 cases (70.59%), while 29 (82.35%) cases were distributed in peripheral. The pure ground glass opacity (GGO) was shown in 18 cases (52.94%), the GGO with consolidation was in 12 cases (35.29%), and full consolidation only in 3 cases. The lesion with air bronchogram was seen in 14 (41.18%) cases, with enlarged blood vessel in 17 (50.00%) cases, with crazy-paving pattern in 8 (23.53%) cases, with fine reticular pattern in 4 (11.77%) cases, and with intralesional vacuole sign in 6 (17.65%) cases. The pleural effusion was seen in one patient. Follow-up imaging in 19 patients during the study time window demonstrated mild, moderate or severe progression of disease, as manifested by increasing extent and density of lung opacities. Conclusions: The bilateral GGO with air bronchogram, enlarged blood vessel, fine reticular pattern, and peripheral distribution are the early CT findings of COVID-19. The crazy-paving pattern and intralesional vacuole sign are the features of progressive stage.
Schlagwörter	covid19
Verlag	WHO
Dokumenttyp	Artikel
Anmerkung	WHO #Covidence: #276130
Datenquelle	COVID19

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Artikel ; Online: Role of chest CT scan in patients with preexisting cancer and COVID-19 pneumonia.

Khorasanizadeh, Faezeh / Kaviani, Soori / Salamroudi, Shadi / Seyyedsalehi, Monireh Sadat / Gity, Masoumeh / Zendehdel, Kazem

BMC medical imaging

2023 Band 23, Heft 1, Seite(n) 27

Abstract: ... of cancer had typical imaging features of COVID-19. Radiologists should be aware of atypical, rare, or ... We studied 266 COVID-19 patients with a history of cancer diagnosis between 2020 and 2022. Chest CT images ... the association between CT scan findings and mortality of the cancer COVID-19 patients.: Results: The mean age ...

Abstract	Background: Detection of COVID-19 in cancer patients is challenging due to probable preexisting pulmonary infiltration caused by many infectious and non-infectious etiologies. We evaluated chest CT scan findings of COVID-19 pneumonia in cancer patients and explored its prognostic role in mortality. Methods: We studied 266 COVID-19 patients with a history of cancer diagnosis between 2020 and 2022. Chest CT images were reported based on Radiological Society of North America (RSNA) structural report and the CT score and pattern of involvement were noted. We used multivariate logistic regression models to determine the association between CT scan findings and mortality of the cancer COVID-19 patients. Results: The mean age was 56.48 (± 18.59), and 53% were men. Gastrointestinal (29.3%), hematologic (26.3%), and breast (10.5%) cancers were the most frequent types of cancer. The prevalence of atypical or indeterminate findings in the chest CT was 42.8%. Most radiologic findings were consolidation mixed with ground-glass opacity (44.4%), pleural effusion (33.5%), and pure ground-glass opacity (19.5%). The risk of death was higher among those who had typical chest CT for COVID-19 (OR 3.47; 95% CI 1.14-8.98) and those who had a severity of score higher than 18 (OR 1.89; 95% CI 1.07-3.34). Also, presence of consolidation (P value 0.040), pleural effusion (P value 0.000), centrilobular nodules (P value 0.013), and architectural distortion (P value 0.005) were associated with a poorer prognosis. Conclusion: Less than half of COVID-19 patients with a history of cancer had typical imaging features of COVID-19. Radiologists should be aware of atypical, rare, or subtle chest CT findings in patients with pre-existing cancer.
Mesh-Begriff(e)	Male ; Humans ; Middle Aged ; Female ; COVID-19/diagnostic imaging ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods ; Neoplasms/complications ; Neoplasms/diagnostic imaging ; Pleural Effusion ; Lung/diagnostic imaging
Sprache	Englisch
Erscheinungsdatum	2023-02-06
Erscheinungsland	England
Dokumenttyp	Journal Article
ZDB-ID	2061975-3
ISSN	1471-2342 ; 1471-2342
ISSN (online)	1471-2342
ISSN	1471-2342
DOI	10.1186/s12880-023-00984-w
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: Coronavirus disease 2019: initial chest CT findings.

Zhou, Zhiming / Guo, Dajing / Li, Chuanming / Fang, Zheng / Chen, Linli / Yang, Ran / Li, Xiang / Zeng, Wenbing

European radiology

2020 Band 30, Heft 8, Seite(n) 4398–4406

Abstract: ... in the early-stage COVID-19 patients. • Significantly increased CT score may indicate the aggravation of COVID ... of the lungs were the primary CT characteristic of COVID-19. • The halo sign may be a special CT feature ... confirmed coronavirus disease 2019 patients (34 men, 28 women; age range 20-91 years old) who did not ...

Abstract	Objectives: To systematically analyze CT findings during the early and progressive stages of natural course of coronavirus disease 2019 and also to explore possible changes in pulmonary parenchymal abnormalities during these two stages. Methods: We retrospectively reviewed the initial chest CT data of 62 confirmed coronavirus disease 2019 patients (34 men, 28 women; age range 20-91 years old) who did not receive any antiviral treatment between January 21 and February 4, 2020, in Chongqing, China. Patients were assigned to the early-stage group (onset of symptoms within 4 days) or progressive-stage group (onset of symptoms within 4-7 days) for analysis. CT characteristics and the distribution, size, and CT score of pulmonary parenchymal abnormalities were assessed. Results: In our study, the major characteristic of coronavirus disease 2019 was ground-glass opacity (61.3%), followed by ground-glass opacity with consolidation (35.5%), rounded opacities (25.8%), a crazy-paving pattern (25.8%), and an air bronchogram (22.6%). No patient presented cavitation, a reticular pattern, or bronchial wall thickening. The CT scores of the progressive-stage group were significantly greater than those of the early-stage group (p = 0.004). Conclusions: Multiple ground-glass opacities with consolidations in the periphery of the lungs were the primary CT characteristic of coronavirus disease 2019. CT score can be used to evaluate the severity of the disease. If these typical alterations are found, then the differential diagnosis of coronavirus disease 2019 must be considered. Key points: • Multiple GGOs with consolidations in the periphery of the lungs were the primary CT characteristic of COVID-19. • The halo sign may be a special CT feature in the early-stage COVID-19 patients. • Significantly increased CT score may indicate the aggravation of COVID-19 in the progressive stage.
Mesh-Begriff(e)	Adult ; Aged ; Aged, 80 and over ; Betacoronavirus ; COVID-19 ; China ; Coronavirus Infections/diagnostic imaging ; Female ; Humans ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Retrospective Studies ; SARS-CoV-2 ; Thorax/diagnostic imaging ; Tomography, X-Ray Computed ; Young Adult
Schlagwörter	covid19
Sprache	Englisch
Erscheinungsdatum	2020-03-24
Erscheinungsland	Germany
Dokumenttyp	Journal Article
ZDB-ID	1085366-2
ISSN	1432-1084 ; 0938-7994 ; 1613-3749
ISSN (online)	1432-1084
ISSN	0938-7994 ; 1613-3749
DOI	10.1007/s00330-020-06816-7
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: Rapid identification of COVID-19 severity in CT scans through classification of deep features.

Yu, Zekuan / Li, Xiaohu / Sun, Haitao / Wang, Jian / Zhao, Tongtong / Chen, Hongyi / Ma, Yichuan / Zhu, Shujin / Xie, Zongyu

Biomedical engineering online

2020 Band 19, Heft 1, Seite(n) 63

Abstract: ... coronavirus 2019 (COVID-19). We collected chest CT scans of 202 patients diagnosed with the COVID-19, and try ... Background: Chest CT is used for the assessment of the severity of patients infected with novel ... from these CT scans. These features are then fed to multiple classifiers (linear discriminant, linear SVM, cubic ...

Abstract	Background: Chest CT is used for the assessment of the severity of patients infected with novel coronavirus 2019 (COVID-19). We collected chest CT scans of 202 patients diagnosed with the COVID-19, and try to develop a rapid, accurate and automatic tool for severity screening follow-up therapeutic treatment. Methods: A total of 729 2D axial plan slices with 246 severe cases and 483 non-severe cases were employed in this study. By taking the advantages of the pre-trained deep neural network, four pre-trained off-the-shelf deep models (Inception-V3, ResNet-50, ResNet-101, DenseNet-201) were exploited to extract the features from these CT scans. These features are then fed to multiple classifiers (linear discriminant, linear SVM, cubic SVM, KNN and Adaboost decision tree) to identify the severe and non-severe COVID-19 cases. Three validation strategies (holdout validation, tenfold cross-validation and leave-one-out) are employed to validate the feasibility of proposed pipelines. Results and conclusion: The experimental results demonstrate that classification of the features from pre-trained deep models shows the promising application in COVID-19 severity screening, whereas the DenseNet-201 with cubic SVM model achieved the best performance. Specifically, it achieved the highest severity classification accuracy of 95.20% and 95.34% for tenfold cross-validation and leave-one-out, respectively. The established pipeline was able to achieve a rapid and accurate identification of the severity of COVID-19. This may assist the physicians to make more efficient and reliable decisions.
Mesh-Begriff(e)	Adolescent ; Adult ; Aged ; Aged, 80 and over ; COVID-19 ; Child ; Child, Preschool ; Coronavirus Infections/diagnostic imaging ; Deep Learning ; Female ; Humans ; Image Processing, Computer-Assisted/methods ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Sensitivity and Specificity ; Time Factors ; Tomography, X-Ray Computed ; Young Adult
Schlagwörter	covid19
Sprache	Englisch
Erscheinungsdatum	2020-08-12
Erscheinungsland	England
Dokumenttyp	Journal Article
ZDB-ID	2084374-4
ISSN	1475-925X ; 1475-925X
ISSN (online)	1475-925X
ISSN	1475-925X
DOI	10.1186/s12938-020-00807-x
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: CT characteristics of patients infected with 2019 novel coronavirus: association with clinical type.

Wang, J / Xu, Z / Feng, R / An, Y / Ao, W / Gao, Y / Wang, X / Xie, Z

Clinical radiology

2020 Band 75, Heft 6, Seite(n) 408–414

Abstract: Aim: To summarise the features of chest computed tomography (CT) of a series of patients infected ... disease.: Materials and methods: The clinical information and chest CT images of 93 patients infected ... with heavy/critical infections.: Conclusion: The CT and clinical appearances of COVID-19 are variable and ...

Abstract	Aim: To summarise the features of chest computed tomography (CT) of a series of patients infected with 2019 novel coronavirus (2019-nCov) to speed up recognition and have a better understanding of COVID-19 disease. Materials and methods: The clinical information and chest CT images of 93 patients infected with 2019-nCov from multiple centres were reviewed. Results: Of the 93 cases, abnormalities in 91 cases were located at the subpleural level, presenting with ground-glass opacity (GGO; n=69, 74.2%) and consolidation (n=56, 60.2%) in multiple lobes. Other CT features included vascular dilatation (n=83, 89.2%), interlobular septal thickening (n=29, 31.2%), bronchodilatation (n=44, 47.3%), the crazy-paving sign (n=34, 36.6%), the sieve-hole sign (n=12, 12.9%), pleural thickening (n=21, 22.6%), and pleural effusion (n=8, 8.6%). Multiple lobe involvement, including the presence of consolidation, the crazy-paving sign, interlobular septal thickening, pleural thickening and pleural effusion, was more common in critical patients with heavy/critical infection (p<0.05), whereas the presence of GGO, involvement of one or two lobes, and the halo sign were more common in patients with mild/common-type infections (p<0.05). Moreover, older age, higher body temperature, complaints of chest tightness and breathlessness, and lymphopenia was associated with heavy/critical infections. Conclusion: The CT and clinical appearances of COVID-19 are variable and reflect the severity of COVID-19 to some extent.
Mesh-Begriff(e)	Adult ; Aged ; COVID-19 ; Coronavirus Infections/diagnostic imaging ; Coronavirus Infections/epidemiology ; Female ; Humans ; Lung/diagnostic imaging ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Pneumonia, Viral/epidemiology ; Tomography, X-Ray Computed ; Young Adult
Schlagwörter	covid19
Sprache	Englisch
Erscheinungsdatum	2020-04-07
Erscheinungsland	England
Dokumenttyp	Journal Article
ZDB-ID	391227-9
ISSN	1365-229X ; 0009-9260
ISSN (online)	1365-229X
ISSN	0009-9260
DOI	10.1016/j.crad.2020.04.001
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: CT imaging features of 4121 patients with COVID-19: A meta-analysis.

Zhu, Jieyun / Zhong, Zhimei / Li, Hongyuan / Ji, Pan / Pang, Jielong / Li, Bocheng / Zhang, Jianfeng

Journal of medical virology

2020 Band 92, Heft 7, Seite(n) 891–902

Abstract: ... about the CT imaging features of COVID-19 from 1 January to 16 March 2020. Three reviewers independently ... involving a total of 4121 patients with COVID-19 were included. The results of the meta-analysis showed ... and nodular (20.5%) were common lesion shapes in patients with COVID-19. Pleural thickening (27.1 ...

Abstract	Objective: We systematically reviewed the computed tomography (CT) imaging features of coronavirus disease 2019 (COVID-19) to provide reference for clinical practice. Methods: Our article comprehensively searched PubMed, FMRS, EMbase, CNKI, WanFang databases, and VIP databases to collect literatures about the CT imaging features of COVID-19 from 1 January to 16 March 2020. Three reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies, and then, this meta-analysis was performed by using Stata12.0 software. Results: A total of 34 retrospective studies involving a total of 4121 patients with COVID-19 were included. The results of the meta-analysis showed that most patients presented bilateral lung involvement (73.8%, 95% confidence interval [CI]: 65.9%-81.1%) or multilobar involvement (67.3%, 95% CI: 54.8%-78.7%) and just little patients showed normal CT findings (8.4%). We found that the most common changes in lesion density were ground-glass opacities (68.1%, 95% CI: 56.9%-78.2%). Other changes in density included air bronchogram sign (44.7%), crazy-paving pattern (35.6%), and consolidation (32.0%). Patchy (40.3%), spider web sign (39.5%), cord-like (36.8%), and nodular (20.5%) were common lesion shapes in patients with COVID-19. Pleural thickening (27.1%) was found in some patients. Lymphadenopathy (5.4%) and pleural effusion (5.3%) were rare. Conclusion: The lung lesions of patients with COVID-19 were mostly bilateral lungs or multilobar involved. The most common chest CT findings were patchy and ground-glass opacities. Some patients had air bronchogram, spider web sign, and cord-like. Lymphadenopathy and pleural effusion were rare.
Mesh-Begriff(e)	Betacoronavirus/genetics ; Betacoronavirus/pathogenicity ; Biomarkers/analysis ; COVID-19 ; COVID-19 Testing ; China/epidemiology ; Clinical Laboratory Techniques/methods ; Coronavirus Infections/complications ; Coronavirus Infections/diagnosis ; Coronavirus Infections/diagnostic imaging ; Coronavirus Infections/epidemiology ; Humans ; Lung/diagnostic imaging ; Lung/pathology ; Lymphadenopathy/complications ; Lymphadenopathy/diagnostic imaging ; Lymphadenopathy/epidemiology ; Pandemics ; Pleural Effusion/complications ; Pleural Effusion/diagnostic imaging ; Pleural Effusion/epidemiology ; Pneumonia, Viral/complications ; Pneumonia, Viral/diagnostic imaging ; Pneumonia, Viral/epidemiology ; Retrospective Studies ; SARS-CoV-2 ; Severity of Illness Index ; Tomography, X-Ray Computed
Chemische Substanzen	Biomarkers
Schlagwörter	covid19
Sprache	Englisch
Erscheinungsdatum	2020-04-29
Erscheinungsland	United States
Dokumenttyp	Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't
ZDB-ID	752392-0
ISSN	1096-9071 ; 0146-6615
ISSN (online)	1096-9071
ISSN	0146-6615
DOI	10.1002/jmv.25910
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: Chest CT features of children infected by B.1.617.2 (Delta) variant of COVID-19.

Cheng, Qi-Rui / Fan, Ming-Xing / Hao, Jing / Hu, Xiao-Chen / Ge, Xu-Hua / Hu, Zhi-Liang / Li, Zhuo

World journal of pediatrics : WJP

2021 Band 18, Heft 1, Seite(n) 37–42

Abstract: ... in CT scans of pediatric patients infected with Delta-variant strain by studying imaging features ... patients infected with Delta variant in 2021 and 23 pediatric patients with COVID-19 in 2020 was conducted ... Corresponding imaging features were analyzed. In addition, the changing trend in imaging features of COVID-19 ...

Abstract	Background: This study aimed to explore the imaging characteristics, diversity and changing trend in CT scans of pediatric patients infected with Delta-variant strain by studying imaging features of children infected with Delta and comparing the results to those of children with original COVID-19. Methods: A retrospective, comparative analysis of initial chest CT manifestations between 63 pediatric patients infected with Delta variant in 2021 and 23 pediatric patients with COVID-19 in 2020 was conducted. Corresponding imaging features were analyzed. In addition, the changing trend in imaging features of COVID-19 Delta-variant cases were explored by evaluating the initial and follow-up CT scans. Results: Among 63 children with Delta-variant COVID-19 in 2021, 34 (53.9%) showed positive chest CT presentation; and their CT score (1.10 ± 1.41) was significantly lower than that in 2020 (2.56 ± 3.5) (P = 0.0073). Lesion distribution: lung lesions of Delta cases appear mainly in the lower lungs on both sides. Most children had single lobe involvement (18 cases, 52.9%), 14 (41.2%) in the right lung alone, and 14 (41.2%) in both lungs. A majority of Delta cases displayed initially ground glass (23 cases, 67.6%) and nodular shadows (13 cases, 38.2%) in the first CT scan, with few extrapulmonary manifestations. The 34 children with abnormal chest CT for the first time have a total of 92 chest CT examinations. These children showed a statistically significant difference between the 0-3 day group and the 4-7 day group (P = 0.0392) and a significant difference between the 4-7 day group and the more than 8 days group (P = 0.0003). Conclusions: The early manifestations of COVID-19 in children with abnormal imaging are mostly small subpleural nodular ground glass opacity. The changes on the Delta-variant COVID-19 chest CT were milder than the original strain. The lesions reached a peak on CT in 4-7 days and quickly improved and absorbed after a week. Dynamic CT re-examination can achieve a good prognosis.
Mesh-Begriff(e)	COVID-19 ; Child ; Humans ; Lung/diagnostic imaging ; Retrospective Studies ; SARS-CoV-2 ; Tomography, X-Ray Computed
Sprache	Englisch
Erscheinungsdatum	2021-11-22
Erscheinungsland	Switzerland
Dokumenttyp	Journal Article
ZDB-ID	2236681-7
ISSN	1867-0687 ; 1708-8569
ISSN (online)	1867-0687
ISSN	1708-8569
DOI	10.1007/s12519-021-00484-3
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: Follow-Up CT Results of COVID-19 Patients with Initial Negative Chest CT

Fu B / Hu L / Lv F / Huang J / Li W / Ouyang Y / Chu Z

Infection and Drug Resistance, Vol Volume 13, Pp 2681-

2020 Band 2687

Abstract: ... patients with negative initial chest CT findings and to investigate their CT features and outcome during ... were evaluated.Results: Among 317 confirmed COVID-19 patients, 29 (9.1%) (mean ± SD, 38.5 ± 20.5 years ... 1– 13) than asymptomatic patients (mean: 1.5 ± 0.6, range: 1– 2) (P = 0.057).Conclusion: In COVID-19 ...

Abstract	Binjie Fu1 ,* Liangbo Hu2 ,* Fajin Lv,1 Junhao Huang,2 Wangjia Li,1 Yu Ouyang,1 Zhigang Chu1 1Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 2Department of Radiology, Yongchuan Hospital of Chongqing Medical University, Chongqing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhigang ChuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, 1# Youyi Road, Yuanjiagang, Yuzhong District, Chongqing 400016, People’s Republic of ChinaTel +86 18723032809Fax +86 23 68811487Email chuzg0815@163.comPurpose: To determine whether new pulmonary lesions will develop in COVID-19 patients with negative initial chest CT findings and to investigate their CT features and outcome during treatment.Patients and Methods: Data were collected retrospectively from 29 patients who had tested positive for COVID-19 by reverse-transcription polymerase chain reaction testing but negative by initial chest CT from January 22 to February 17, 2020. Clinical manifestations, laboratory indicators, and follow-up CT data were evaluated.Results: Among 317 confirmed COVID-19 patients, 29 (9.1%) (mean ± SD, 38.5 ± 20.5 years; 12 women) with negative initial chest CT findings were evaluated. New pulmonary lesions developed in 10 (34.5%) patients on follow-up CT. Mean time from onset of new lesions to initial CT was 5.8 ± 3.0 days (range: 2– 12 days). New lesions (mean involved lobes and segments: 2.5 ± 1.6 [range: 1– 5] and 4.5 ± 4.5 [range: 1– 13]) were mainly spherical/patchy ground-glass opacities frequently located in the left lower lobe (9, 90.0%). Among the 10 patients, lesions in 6 (60.0%) indicated progression after occurrence, and those in 10 (100.0%) indicated significant absorption on latest CT. When new lesions developed, 6 (60.0%) patients developed new symptoms or had aggravated symptoms and 3 (30.0%) had decreased lymphocyte count. Patients with worsening symptoms had higher involvement of lung segments (mean: 6.5 ± 5.0, range: 1– 13) than asymptomatic patients (mean: 1.5 ± 0.6, range: 1– 2) (P = 0.057).Conclusion: In COVID-19 patients with negative initial chest CT findings, new pulmonary lesions may develop during treatment. Repeat CT is necessary for monitoring the disease, especially when patients have worsening symptoms or laboratory indicators.Keywords: coronavirus disease 2019, SARS-CoV-2, follow-up, CT imaging
Schlagwörter	coronavirus disease 2019 ; sars-cov-2 ; follow-up ; ct imaging ; Infectious and parasitic diseases ; RC109-216 ; covid19
Thema/Rubrik (Code)	610
Sprache	Englisch
Erscheinungsdatum	2020-08-01T00:00:00Z
Verlag	Dove Medical Press
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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