收藏切换
A practical approach to imaging characteristics and standardized reporting of COVID-19: A radiologic review
收藏切换
PDF
Deniz Esin Tekcan Sanli1, *, Duzgun Yildirim2, Ahmet Necati Sanli3, Suha Turkmen4, Neval Erozan1, Guray Husmen1, Aytug Altundag5, Filiz Tuzuner6
Military Medical Research | 2021, 8(3) : 424 - 432
Less
收藏切换
Military Medical Research | 2021, 8(3): 424-432
REVIEW
A practical approach to imaging characteristics and standardized reporting of COVID-19: A radiologic review
Full
Deniz Esin Tekcan Sanli1, *, Duzgun Yildirim2, Ahmet Necati Sanli3, Suha Turkmen4, Neval Erozan1, Guray Husmen1, Aytug Altundag5, Filiz Tuzuner6
Affiliations
  • 1Department of Radiology, Acibadem Kozyatagi Hospital, 19 Mayıs Mah, İnönü Cad, Okur Sok, No.24/A, Kozyatağı, 34734 Istanbul, Turkey
  • 2Department of Radiology, Acibadem Taksim Hospital, 34373 Istanbul, Turkey
  • 3Cerrahpasa Medical Faculty, Department of General Surgery, Istanbul University-Cerrahpasa, 34098 Istanbul, Turkey
  • 4Department of Emergency, Acibadem Taksim Hospital, 34373 Istanbul, Turkey
  • 5Department of Otolaryngology, Acibadem Taksim Hospital, 34373 Istanbul, Turkey
  • 6Department of Anesthesiology, Acibadem Taksim Hospital, 34373 Istanbul, Turkey
Published: 2021-09-10 doi: 10.1186/s40779-021-00301-y
Outline
收藏切换

Novel coronavirus (2019-nCoV), also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a pathogen that has caused a rapidly spreading pandemic all over the world. The primary mean of transmission is inhalation with a predilection for respiratory system involvement, especially in the distal airways. The disease that arises from this novel coronavirus is named coronavirus disease 2019 (COVID-19). COVID-19 may have a rapid and devastating course in some cases leading to severe complications and death. Radiological imaging methods have an invaluable role in diagnosis, follow-up, and treatment. In this review, radiological imaging findings of COVID-19 have been systematically reviewed based on the published literature so far. Radiologic reporting templates are also emphasized from a different point of view, considering specific distinctive patterns of involvement.

Coronavirus disease 2019  /  Severe acute respiratory syndrome coronavirus 2  /  Computed tomography  /  Pneumonia  /  Acute respiratory distress syndrome  /  Ground-glass opacities  /  Crazy-paving pattern
Deniz Esin Tekcan Sanli, Duzgun Yildirim, Ahmet Necati Sanli, Suha Turkmen, Neval Erozan, Guray Husmen, Aytug Altundag, Filiz Tuzuner. A practical approach to imaging characteristics and standardized reporting of COVID-19: A radiologic review[J]. Military Medical Research, 2021 , 8 (3) : 424 -432 . DOI: 10.1186/s40779-021-00301-y
As of December 28, 2020, the novel coronavirus infected more than 80.45 million people worldwide and caused more than 1.77 million deaths[1]. The disease progresses asymptomatically or mildly in the majority, with the most common form of presentation as fever and upper respiratory infection symptoms[1,2]. However, in the presence of comorbid diseases or advanced age, the disease may aggravate and lead to complications, such as pneumonia, acute respiratory distress syndrome, multiorgan failure, and death, depending on the degree of diffuse alveolar damage and inflammatory response[3]. Radiology plays a significant role in the diagnosis, follow-up, and treatment, with radiological imaging becoming increasingly more important in patient management[4].
The diagnosis of COVID-19 is made by evaluating clinical examination and laboratory findings together with contact history and time[5]. Direct radiography (X-ray) and chest computed tomography (CT) are used to support the diagnosis inappropriate indications. As indicated by national and international radiology associations, methods using X-ray should not be used for scanning purposes[6].
Due to the nature of the disease, COVID-19 often begins as ground-glass opacity as an imaging finding reflecting underlying alveolar inflammation[7]. The diagnostic sensitivity of the chest radiography is relatively low to show these ground-glass opacities (25%–60%) in the studies conducted on cases with clinically significant findings (Fig. 1)[3,8-10]. The routine use of CT scanning for follow-up purposes in daily practice is hampered by the relatively high radiation dose. Therefore, COVID-19 is used serially in the radiological follow-up of patients with initial positive CT findings, especially to assess for developing consolidations in patients with poor prognostic factors[11].
Although the effectiveness of ultrasound is controversial, it can be used in selected cases for its ability to detect effusion and wide consolidations. Additionally, ultrasound allows effusion drainage in the same session in immobile progressive patients, especially in intensive care units[12].
Although CT is more likely to be positive after the onset of symptoms (especially after 3 days of symptoms onset), CT findings can even be seen during the asymptomatic period [13]. CT positivity 3 days before real time polymerase chain reaction (RT-PCR) positivity has been reported in some studies[14,15].
In a recent study, the positive CT finding rate was reported as high as 97% in COVID-19 cases confirmed by RT-PCR[11]. When these findings are encountered on CT, they support the diagnosis or raise the differential diagnosis in suspicious cases. Bilateral multilobar, lowerlobe dominated posterobasal and peripheral distribution, either patchy or round ground-glass opacities are the most common and pathognomonic findings of the disease[16-19]. Other findings include ground-glass opacities with surrounding consolidation termed as peripheral halo sign, interlobular septal thickening, crazy-paving pattern, ground-glass opacities accompanied by interlobular septal thickening with visualized background lung parenchyma, consolidation which distributed similarly as ground-glass opacity, and subpleural lines (Fig. 2)[4,18]. Failure to protect the subpleural areas and pleural thickening at the point of contact is expected radiological features of the disease. In a meta-analysis that included 13 studies on CT findings of COVID-19, the most common of distributions were bilateral lung involvement (78.2%) and peripheral distribution (76.95%). The right lower lobe (87.21%), left lower lobe (81.41%), and bilateral lower lobes (65.22%) were the most affected lobes[20].
Generally, lesions in ground-glass opacity show bilateral-multilobar involvement in a peripheral-basal and subpleural distribution. The spread of lesions to the upper lobes may occur in a short time. Other forms of involvement are ground-glass opacities surrounded by fibrotic halo (reverse halo), vascular enlargement within the lesion, bronchiectasis or deformation or vascular dilatation (vascular enlargement sign) in the affected area, air bubble that usually develops within the lesion during the healing period (vacuolar sign) are typical imaging features for COVID-19 pneumonia (Fig. 2, Additional file 1)[21].
Non-COVID-19 related pneumonia is mostly in the form of consolidation that affects a single lobe accompanied by mediastinal lymphadenopathy and air bronchograms. The tree-in-bud view is generally detected in the early period or as an accompanying finding of ground-glass opacities (Fig. 3)[22].
Asymptomatic period. No imaging changes may be observed since the disease has not developed yet. Single/multiple focal ground-glass opacities, patchy consolidative densities, pulmonary nodules with groundglass halos, air bronchograms.
Symptomatic period. Single/multiple ground-glass opacities, ground-glass opacity ± interlobular septal thickening.
Three to seven days after the onset of symptoms. Widemild consolidations and air bronchograms.
2nd week of symptoms onset. Regression can be seen in the size and density of the consolidations.
Two to three weeks later. Patchy consolidations, reticular opacities, bronchial wall thickening and interlobular septal thickening[23].
CT findings vary based on age[24-26]. The most common finding younger than 50 years of age is groundglass opacity seen in 77% of cases. Consolidations are detected at a lower rate (23%). The most common finding in elderly cases is ground-glass opacities, too, with 55% of cases. The incidence of the disease in the form of consolidation has been reported in 45% of cases older than 50 years of age[17,27]. In addition, atypical imaging findings for COVID-19 are more common in elderly patients (Additional file 1). This also underlines why the disease beginning with consolidation or atypical findings has a poor prognostic factor[17].
In 20% of pediatric cases, there is no imaging finding to suggest pneumonia[28]. In general, an infiltration pattern detected as ground-glass opacity is seen, similar to that of adults. On the contrary, it may start with direct consolidation and peripheral halo and progress rapidly in the form of atypical CT findings[29].
The most common and initial finding is generally focal or patchy ground-glass opacities showing lower lobe peripheral-basal dominance. Although it is usually multiple, it may also appear as a single focus in the early period of the disease. Consolidations may accompany or appear later (42%). Consolidations can be seen alone or accompanied by peripheral ground-glass density (halo sign). Consolidations also show posterobasal, peripheral and lower lobe dominance similar to ground-glass opacities. 17% of the cases had no early CT findings.
This is the stage where consolidations with bilateral-multilobar involvement, developing from a new focus, formed by conversion of the ground-glass opacity or increased in size are observed. Additionally, this is the phase where interlobular septal thickening is observed in ground-glass opacities, and the paving stone appearance (crazy-paving pattern) can be detected.
Parenchyma findings begin to regress, disappear completely or remain in the form of fibrotic bands. Although most of these fibrotic bands disappear completely, they have been reported to persist for a long time at a low rate (Fig. 4)[30].
While evaluating chest CT images, coronal and sagittal sections should be examined as well as axial sections. Multiplanar evaluation minimizes overlooking or overdiagnosing lesions that would otherwise be misinterpreted on a single section. Basal-peripheral-central distribution of the lesions and lower-upper lobe involvement can be evaluated better by multiplanar imaging (Figs. 5 and 6)[19,31-33].
Advanced age and comorbid disease are the most important prognostic factors for COVID-19 pneumonia[34,35]. In addition, some poor prognostic factors have been identified based on CT imaging features[35]. The appearance of atypical findings, such as widespread consolidated areas, rapid infiltration into the upper lobes, pleural effusion, and mediastinal lymphadenopathy, are poor prognostic indicators. Rare findings, such as diffuse lesions, structural distortion, traction bronchiectasis, intrathoracic enlarged lymph nodes, and pleural effusion, are more common in the critical group[2828">,35-37]. Multiple lobe involvement and subsegmental consolidations were detected to be the most common findings in patients who need subsequent intensive care units[30]. CT is important for disease progression as well as diagnosis. More serious findings detected by CT may be decisive in the follow-up and treatment algorithm (follow-up, isolation, drug administration, hospitalization)[16,27,38,39].
Although RT-PCR sensitivity is reported as 70% on average, it varies according to the sampling method, the time of sampling, the provider collecting the specimen and the sensitivity of the kits[11,40]. RT-PCR positivity is generally correlated with CT findings, with some exceptions. It was observed that RT-PCR became positive afterwards in patients with initial negative RT-PCR and positive CT findings[11,41]. However, in a study of 167 patients, the CTs of seven patients who were RT-PCR positive were reported as normal, and one of these patients had positive CT findings developing 5 days later. In other words, both CT and RT-PCR, especially RTPCR, can be negative in the early stages of the disease[42]. RT-PCR can be negative for up to 2–3 weeks from the onset of symptoms[11]. On the contrary, the CT findings become positive between 6 and 11 days (median 10th day)[11]. Patients without symptoms but with abnormal CT findings may develop symptoms 2–6 days later[4,11]. If CT findings are present, there are management algorithms that accept cases as COVID-19 positive even if RT-PCR is negative. The most commonly accepted approach for the use of CT and RTPCR during initial diagnosis is as follows: In the absence of typical-significant or suspicious findings for pneumonia, CT findings do not indicate COVID-19 positivity. It should be remembered that even if parenchymal involvement occurs within the first 3 days after symptoms begin, it is too early to reflect on imaging and imaging findings may appear after the 4th day. On the other hand, although it varies according to the local test type and sampling methods, the diagnostic value of CT taken, especially on the 3rd or later days after the onset of symptoms, is higher than RT-PCR (Fig. 7)[11,41]. If there are clinical and laboratory findings or CT findings in RT-PCR negative case, the test should be repeated after 24 h[4,11,23]. In COVID-19 diagnosis, the possibility of misdiagnosis with CT was reported as 3.9%. In addition, COVID-19 may not be distinguished from pneumonia-related to other viral agents, especially SARS, Middle East respiratory syndrome (MERS) and adenovirus, based on CT findings[37]. However, in the presence of typical clinical findings, there is the potential to ensure correct triage in most of the cases when used with the appropriate indication[4,42]. These cases should be considered positive for COVID-19, even if RT-PCR is negative[43].
Thorax CT is a sensitive diagnostic approach in the early period in RT-PCR test negative COVID-19 cases. When the RT-PCR test is not available, resources are scarce, or the COVID-19 test is negative, imaging is recommended to support the patient’s faster triage (Fig. 8)[43]. CT imaging is not recommended for COVID-19 positive with mild symptoms and without risk factors for disease progression[44]. CT imaging is recommended to assess secondary abnormalities, such as COVID-19 progression, pulmonary embolism, or secondary bacterial pneumonia, when the patient’s clinical condition worsens[4,43-47].
Routine use of CT is not recommended for evaluation of response to treatment during follow-up of COVID-19 patients. Clinical and laboratory parameters are more sensitive in patient assessment. Radiological findings may not always correlate with the clinical status of patients. Nonetheless, radiological findings provide important insight into disease progression and development. If additional pathology that may affect the treatment decision is considered, imaging can be performed[4,11, 43].
During and after CT screening of patients diagnosed with COVID-19, infection control protocol must be followed. In addition, every patient coming for CT should be considered as infected and personal protective equipment should be used by the technician and the patient. After the screening, the table should be disinfected; the CT room should be ventilated; the interval between patients should be at least 10–15 min. Equipment, such as overalls, gloves, masks and glasses, to be used by patients, as well as technicians, nurses and assistant personnel working in the tomography unit should be defined in detail by the institution. The rotation schedule of the technicians should be determined by working hours or the number of CT scans taken and should be reported to hospital management, hospital infection control units and radiology departments[23,48-50].
Thorax CT scans continue to be used at increasing rates all over the world due to the current pandemic. According to the explanations and recommendations of the Radiological Society of North America Expert Consensus (RSNA) on COVID-19 on April 1, 2020, the term COVID-19 pneumonia should not be used in the report; other viral pneumonia, especially influenza, drug intoxication, connective tissue diseases, hypersensitivity pneumonia, other causes that cause diffuse alveolar damage, idiopathic organized pneumonia may also create the same pattern as COVID-19. CT should be preferred as a supportive modality in the overall context of the clinical examination, laboratory findings, and PCR. In this way, it will be possible to minimize unnecessary anxiety of patients and their relatives while the diagnostic load of radiology is reduced[51].
RSNA Statement on Reporting Chest CT Findings related to COVID-19 and the British Society of Thoracic Imaging (BSTI) provided more discrete reporting samples by classifying the lesions better[51,52]. We presented a sample report format in the Additional file 2. In the technical part, it is worth noting that the screenings were taken with a low dose and no contrast was administered. In the findings part, parenchymal, bronchial, pleural and the other changes should be described in detail. In the conclusion section, whether the involvement pattern suggests pandemic type viral infiltration should be stated. We use the RSNA recommendations in the results-suggestions sections of the report in our own clinic.
In the literature and on the web, there are many different classification and reporting formats. Each institute can edit and tailor one of these formats based on the institution’s needs[51-53].
Thoracic radiological imaging has a critical role in the diagnosis and management of COVID-19 pneumonia. The first goal in chest imaging should be “to detect COVID-19 pneumonia” and “differentiate cases without lung involvement”. Another preferential goal should be to identify specific patterns that have the potential to predict the disease course. This will be extremely useful, especially for cases with advanced age and comorbidities. Low-dose CT can be used to reveal normal, typical, atypical parenchymal findings and to evaluate patients’ follow-up and treatment response, especially in appropriate indications. In particular, clear identification of the findings part and standardization of the resultrecommendation part of the CT reports will provide fast and effective communication between radiologists and clinicians.
The online version contains supplementary material available at https://doi.org/10.1186/s40779-021-00301-y.
Additional file 1: CT imaging findings for COVID-19.
Additional file 2: An institutional sample organized template of the report format.
2019-nCoV: Novel coronavirus; BSTI: British Society of Thoracic Imaging; COVID-19: Coronavirus disease 2019; CT: Computed tomography; RSNA: Radiological Society of North America Expert Consensus; SARS-CoV-2: Severe acute respiratory syndrome coronavirus 2; X-ray: Direct radiography.
Not applicable.
DETS designed, reviewed the literature and wrote this manuscript. DY, ANS, ST and AA critically reviewed this manuscript. NE, GH, FT collected the data and reviewed the literature. DY and ANS were major contributors in writing this manuscript. All authors read and approved the final manuscript.
Not applicable.
Not applicable.
Not applicable.
The authors declare that they have no competing interests.
1Department of Radiology, Acibadem Kozyatagi Hospital, 19 Mayıs Mah, İnönü Cad, Okur Sok, No.24/A, Kozyatağı, 34734 Istanbul, Turkey. 2Department of Radiology, Acibadem Taksim Hospital, 34373 Istanbul, Turkey. 3Cerrahpasa Medical Faculty, Department of General Surgery, Istanbul University-Cerrahpasa, 34098 Istanbul, Turkey. 4Department of Emergency, Acibadem Taksim Hospital, 34373 Istanbul, Turkey. 5Department of Otolaryngology, Acibadem Taksim Hospital, 34373 Istanbul, Turkey. 6Department of Anesthesiology, Acibadem Taksim Hospital, 34373 Istanbul, Turkey.
1.
WHO. WHO coronavirus disease (COVID-19) dashboard. 2020. Accessed 28 Dec 2020.
2.
Guo YR, Cao QD, Hong ZS, Tan YY, Chen SD, Jin HJ, et al. The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak - an update on the status. Mil Med Res. 2020;7(1):11.
3.
Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. JAMA. 2020;323(11):1061-9.
4.
Li Y, Xia L. Coronavirus disease 2019 (COVID-19): role of chest CT in diagnosis and management. Am J Roentgenol. 2020; 214(6): 1280-6.
5.
Cascella M, Rajnik M, Cuomo A, Dulebohn SC, Di Napoli R. Features, evaluation and treatment coronavirus (COVID-19). In: StatPearls. Treasure Island: StatPearls; 2020.
6.
Sverzellati N, Milone F, Balbi M. How imaging should properly be used in COVID-19 outbreak: an Italian experience. Diagn Interv Radiol. 2020;26(3):204-6.
7.
Li K, Fang Y, Li W, Pan C, Qin P, Zhong Y, et al. CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19). Eur Radiol. 2020;30(8):4407-16.
8.
Kanne JP, Little BP, Chung JH, Elicker BM, Ketai LH. Essentials for radiologists on COVID-19: an update-radiology scientific expert panel. Radiology. 2020;296(2):E113-4.
9.
Choi H, Qi X, Yoon SH, Park SJ, Lee KH, Kim JY, et al. Extension of coronavirus disease 2019 (COVID-19) on chest CT and implications for chest radiograph interpretation. Radiol Cardiothorac Imaging. 2020;2(2):e200107.
10.
Yoon SH, Lee KH, Kim JY, Lee YK, Ko H, Kim KH, et al. Chest radiographic and CT findings of the 2019 novel coronavirus disease (COVID-19): analysis of nine patients treated in Korea. Korean J Radiol. 2020;21(4):494-500.
11.
Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W, et al. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology. 2020; 296(2): E32-40.
12.
Buonsenso D, Pata D, Chiaretti A. COVID-19 outbreak: less stethoscope, more ultrasound. Lancet Respir Med. 2020;8(5):e27.
13.
Lee EYP, Ng MY, Khong PL. COVID-19 pneumonia: what has CT taught us? Lancet Infect Dis. 2020;20(4):384-5.
14.
Chua F, Armstrong-James D, Desai SR, Barnett J, Kouranos V, Kon OM, et al. The role of CT in case ascertainment and management of COVID-19 pneumonia in the UK: insights from high-incidence regions. Lancet Respir Med. 2020;8(5):438-40.
15.
Fang Y, Zhang H, Xie J, Lin M, Ying L, Pang P, et al. Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology. 2020;296(2):E115-7.
16.
Shi H, Han X, Jiang N, Cao Y, Alwalid O, Gu J, et al. Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis. 2020;20(4):425-34.
17.
Salehi S, Abedi A, Balakrishnan S, Gholamrezanezhad A. Coronavirus disease 2019 (COVID-19): a systematic review of imaging findings in 919 patients. Am J Roentgenol. 2020; 215(1): 87-93.
18.
Hani C, Trieu NH, Saab I, Dangeard S, Bennani S, Chassagnon G, et al. COVID-19 pneumonia: a review of typical CT findings and differential diagnosis. Diagn Interv Imaging. 2020;101(5):263-8.
19.
Bernheim A, Mei X, Huang M, Yang Y, Fayad ZA, Zhang N, et al. Chest CT findings in coronavirus disease-19 (COVID-19): relationship to duration of infection. Radiology. 2020; 295(3): 200463.
20.
Bao C, Liu X, Zhang H, Li Y, Liu J. Coronavirus disease 2019 (COVID-19) CT findings: a systematic review and meta-analysis. J Am Coll Radiol. 2020;17(6):701-9.
21.
Zhou Z, Guo D, Li C, Fang Z, Chen L, Yang R, et al. Coronavirus disease 2019: initial chest CT findings. Eur Radiol. 2020; 30(8): 4398-406.
22.
Ye Z, Zhang Y, Wang Y, Huang Z, Song B. Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review. Eur Radiol. 2020;30(8):4381-9.
23.
Jin YH, Cai L, Cheng ZS, Cheng H, Deng T, Fan YP, et al. A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version). Mil Med Res. 2020;7(1):4.
24.
Duan YN, Zhu YQ, Tang LL, Qin J. CT features of novel coronavirus pneumonia (COVID-19) in children. Eur Radiol. 2020;30(8):4427-33.
25.
Lithander FE, Neumann S, Tenison E, Lloyd K, Welsh TJ, Rodrigues JCL, et al. COVID-19 in older people: a rapid clinical review. Age Ageing. 2020;49(4):501-15.
26.
Liu H, Liu F, Li J, Zhang T, Wang D, Lan W. Clinical and CT imaging features of the COVID-19 pneumonia: focus on pregnant women and children. J Inf Secur. 2020;80(5):e7-13.
27.
Zhao W, Zhong Z, Xie X, Yu Q, Liu J. Relation between chest CT findings and clinical conditions of coronavirus disease (COVID-19) pneumonia: a multicenter study. Am J Roentgenol. 2020;214(5):1072-7.
28.
Xia W, Shao J, Guo Y, Peng X, Li Z, Hu D. Clinical and CT features in pediatric patients with COVID-19 infection: different points from adults. Pediatr Pulmonol. 2020;55(5):1169-74.
29.
Lu X, Zhang L, Du H, Zhang J, Li YY, Qu J, et al. SARS-CoV-2 infection in children. N Engl J Med. 2020;382(17):1663-5.
30.
Chung M, Bernheim A, Mei X, Zhang N, Huang M, Zeng X, et al. CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology. 2020;295(1):202-7.
31.
Pan Y, Guan H, Zhou S, Wang Y, Li Q, Zhu T, et al. Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China. Eur Radiol. 2020;30(6):3306-9.
32.
Zhou S, Wang Y, Zhu T, Xia L. CT features of coronavirus disease 2019 (COVID-19) pneumonia in 62 patients in Wuhan, China. Am J Roentgenol. 2020;214(6):1287-94.
33.
Hu Q, Guan H, Sun Z, Huang L, Chen C, Ai T, et al. Early CT features and temporal lung changes in COVID-19 pneumonia in Wuhan, China. Eur J Radiol. 2020;128:109017.
34.
Sun Y, Dong Y, Wang L, Xie H, Li B, Chang C, et al. Characteristics and prognostic factors of disease severity in patients with COVID-19: the Beijing experience. J Autoimmun. 2020; 112: 102473.
35.
Zhao W, Zhong Z, Xie X, Yu Q, Liu J. CT scans of patients with 2019 novel coronavirus (COVID-19) pneumonia. Theranostics. 2020;10(10):4606-13.
36.
Wynants L, Van Calster B, Bonten MMJ, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of COVID −19 infection: systematic review and critical appraisal. BMJ. 2020;369:m1328.
37.
Bai HX, Hsieh B, Xiong Z, Halsey K, Choi JW, Tran TML, et al. Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT. Radiology. 2020;296(2):E46-54.
38.
Li K, Wu J, Wu F, Guo D, Chen L, Fang Z, et al. The clinical and chest CT features associated with severe and critical COVID-19 pneumonia. Investig Radiol. 2020;55(6):327-31.
39.
National Health Commission & National Administration of Traditional Chinese Medicine. Diagnosis and treatment protocol for novel coronavirus pneumonia (trial version 7). Chin Med J. 2020;133(9):1087-95.
40.
Yang Y, Yang M, Yuan J, Wang F, Wang Z, Li J, et al. Laboratory diagnosis and monitoring the viral shedding of SARS-CoV-2 infection. Innovation. 2020;1(3):100061.
41.
Gu J, Yang L, Li T, Liu Y, Zhang J, Ning K, et al. Time correlation between serial RT-PCR results and serial chest CT imaging and serial CT changes of Coronavirus 2019 (COVID-19) pneumonia: 155 cases study from China. Eur Radiol 2020:1–10. doi: https://doi.org/10.1007/s00330-020-07268-9.
42.
Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J. Chest CT for typical coronavirus disease 2019 (COVID-19) pneumonia: relationship to negative RT-PCR testing. Radiology. 2020; 296(2): E41-5.
43.
Rubin GD, Ryerson CJ, Haramati LB, Sverzellati N, Kanne JP, Raoof S, et al. The role of chest imaging in patient management during the COVID-19 pandemic: a multinational consensus statement from the Fleischner society. Radiology. 2020;296(1):172-80.
44.
Ng LFH, Tsang HHC, Wong FHY, Law MWC, Chong WH, Ho CHN, et al. Radiological findings in COVID-19 and adaptive approaches for radiology departments: literature review and experience sharing. Hong Kong J Radiol. 2020;23(2):72-83.
45.
ACR. ACR recommendations for the use of chest radiography and computed tomography (CT) for suspected COVID-19 infection. 2020. Accessed 28 Dec 2020.
46.
Kooraki S, Hosseiny M, Myers L, Gholamrezanezhad A. Coronavirus (COVID-19) outbreak: what the department of radiology should know. J Am Coll Radiol. 2020;17(4):447-51.
47.
Lei J, Li J, Li X, Qi X. CT imaging of the 2019 novel coronavirus (2019-nCoV) pneumonia. Radiology. 2020;295(1):18.
48.
OSHA. Guidance on preparing workplaces for COVID-19. 2020. Accessed 28 Dec 2020.
49.
Chu DK, Akl EA, Duda S, Solo K, Yaacoub S, Schünemann HJ, et al. Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis. Lancet. 2020;395(10242):1973-87.
50.
Jin YH, Huang Q, Wang YY, Zeng XT, Luo LS, Pan ZY, et al. Perceived infection transmission routes, infection control practices, psychosocial changes, and management of COVID-19 infected healthcare workers in a tertiary acute care hospital in Wuhan: a cross-sectional survey. Mil Med Res. 2020;7(1):24.
51.
Simpson S, Kay FU, Abbara S, Bhalla S, Chung JH, Chung M, et al. Radiological society of North America expert consensus statement on reporting chest CT findings related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - secondary publication. J Thorac Imaging. 2020;35(4):219-27.
52.
Nair A, Rodrigues JCL, Hare S, Edey A, Devaraj A, Jacob J, et al. A British society of thoracic imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic. Clin Radiol. 2020;75(5):329-34.
53.
Prokop M, van Everdingen W, van Rees VT, Quarles van Ufford H, Stöger L, Beenen L, et al. CO-RADS: a categorical CT assessment scheme for patients suspected of having COVID-19-definition and evaluation. Radiology. 2020; 296(2):E97-104.
Year 2021 volume 8 Issue 3
PDF
47
26
Cite this Article
BibTeX
Article Info
doi: 10.1186/s40779-021-00301-y
  • Online Date:2025-12-04
  • Published:2021-09-10
Article Data
Affiliations
History
Affiliations
    1Department of Radiology, Acibadem Kozyatagi Hospital, 19 Mayıs Mah, İnönü Cad, Okur Sok, No.24/A, Kozyatağı, 34734 Istanbul, Turkey
    2Department of Radiology, Acibadem Taksim Hospital, 34373 Istanbul, Turkey
    3Cerrahpasa Medical Faculty, Department of General Surgery, Istanbul University-Cerrahpasa, 34098 Istanbul, Turkey
    4Department of Emergency, Acibadem Taksim Hospital, 34373 Istanbul, Turkey
    5Department of Otolaryngology, Acibadem Taksim Hospital, 34373 Istanbul, Turkey
    6Department of Anesthesiology, Acibadem Taksim Hospital, 34373 Istanbul, Turkey

Corresponding:

References
Share
https://castjournals.cast.org.cn/joweb/mmr/EN/10.1186/s40779-021-00301-y
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT