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      Low-dose CT in COVID-19 outbreak: radiation safety, image wisely, and image gently pledge

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          Abstract

          By April 24, 2020, COVID-19, which refers to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, has been spread to almost all countries, contaminated more than 2,600,000 individuals, and led to more than 180,000 deaths worldwide [1]. COVID-19 is caused by a type of coronavirus which infects both animals and human and predominantly involves the respiratory system. The virus was initially introduced to humans from bats in Wuhan, China [2]. Despite the Chinese government initiating the most aggressive disease containment effort in history [3], the disease has rapidly grown to a pandemic. So far in the USA, more than 869,000 have been infected and almost 50,000 died [4] since the first case was recognized on January 20, 2020 [5]. COVID-19 when symptomatic presents with pneumonia or upper respiratory infection. Fever is observed in almost all (83–98%) patients and cough (mostly dry) is manifested in the majority of cases (46–82%). About one-third of patients (31%) may present with shortness of breath. Myalgia and fatigue may also present (11–44%). Pharyngitis, productive cough, hemoptysis, headache, and GI symptoms are less common manifestations. Of infected individuals, 80% are asymptomatic or only manifest mild symptoms. The average age of patients has been in their 50s with a slight male dominance [6–8]. The mean incubation period is about 5 days after exposure but can be as long as 19 days during which the infected individual is asymptomatic and suspected to be able to transmit disease [6]. Lymphopenia, elevated lactate dehydrogenase, and ferritin are the most common laboratory findings observed in COVID-19 [6]. Definitive diagnosis is made by the detection of viral RNA in specimens collected from patients’ respiratory secretions using reverse transcriptase-polymerase chain reactions (RT-PCR) that are performed using pre-prepared laboratory kits [9]. Since COVID-19 emerged very recently, the efficacy and accuracy of available kits have not been evaluated thoroughly and the sensitivity of currently produced kits has been reported to be as low as 59% in some studies [9]. With the increasing emergent need, governments have encountered a shortage of kits and problems with their distribution, administration, and storage. For instance, the kits stored in the Atlanta CDC facility are reported to be contaminated with Coronavirus [10]. The diagnosis of the first case of COVID-19 in Washington state was delayed due to issues with the results of RT-PCR kits distributed by the CDC. Meanwhile, the suspected patient and exposed healthcare providers were not isolated and freely moved about potential exposing many other individuals to the disease [11]. CT in the diagnostic approach to COVID-19 The rapid widespread expansion of COVID-19 cases has raised concerns about possible disease containment and has made control of further spread of the disease the priority in the management of COVID-19 by WHO and CDC to prevent a pandemic [9]. Bill Gates in his article published in NEJM compared COVID-19 pandemic with the 1918 influenza pandemic and indicated that COVID-19 may evoke a worse pandemic because it has a higher rate of contagiousness and kills both young and elderly [12]. Since there is currently no vaccine for COVID-19, successful disease containment is contingent upon rapid identification of infected individuals to isolate them and their close contacts [9, 13]. The urgent need for an alternative diagnostic than RT-PCR kits has given rise to the possibility of utilization of chest CT findings as a diagnostic aid and a screening tool in suspected patients [13]. In a review of the worldwide approach to the management of COVID-19 outbreak, authors reported that many countries are currently using CT scan as a screening tool for suspected patients due to the lack of resources (under review). Recently, a large study from Wuhan has suggested application of CT scan as an alternative diagnostic method which as of today demonstrated higher sensitivity than existing RT-PCR kits [9] despite that it has not yet been approved by major radiology associations. CT scan is a widely available modality and can readily be performed. In this study, it was reported that 88% of suspected patients had findings suggestive of COVID-19 in chest CT while the positive rate of RT-PCR kits was only 59% [9]. Of those with negative RT-PCR, CT findings were suggestive of highly likely disease and probable disease 48% and 33% respectively [9]. It was also shown that CT findings were detected in infected individuals before the RT-PCR kits did in symptomatic individuals. In patients whose initial serologic result was negative and subsequently were found to be positive on repeat testing, the second positive test results took an average of 5.1 days. Ninety-seven percent of those cases already had positive imaging findings, which were present with a mean of 8 days before the second positive serologic test results were available [9]. Bilateral ground-glass opacities (GGO) and/or consolidation have been suggested as the hallmark of COVID-19 infection on chest CT images [7, 9, 13–15]. While they may be nonspecific, these findings are easily identifiable on CT and should in the proper clinical setting aid diagnosis. GGO is an increased attenuation with preserved vascular and airway markings. With consolidation, these markings are obscured by the infiltration’s effect on images. In a recent study, 78% of symptomatic patients had these findings on CT; of those, 60% demonstrated bilateral lung involvement. Imaging findings were detected in 91% of cases within 3–5 days after symptom onset. Interestingly, the serologic tests result became available at almost the same time in this study (4.5 days) [14]. Low- and ultra-low-dose CT scan protocol In emergent situations such as COVID-19 pandemic, the demand for performing CT scans may significantly increase due to the high rate of infected individuals. Myers et al. have recently suggested that radiology departments should prepare for the flood of COVID-19 patients during the outbreak and therefore should be engaged in creating the hospital’s mass casualty incident plan [16]. Furthermore, severely symptomatic patients will often undergo multiple imaging studies during the course of their illness. The cumulative effect of these multiple exams can significantly increase the cumulative radiation dose these patients may receive during their hospitalization and recovery. The as low as reasonably achievable (ALARA) principle states that whenever radiation is expected, the exposure should be as low as reasonably achievable [17]. Keeping this important principle in mind, it is critical that we remember that any CT scan we perform should be accompanied by the justification of examination and optimization of radiation dose [18]. This is of particular importance when evaluating more radiation-sensitive patient populations such as pregnant patients and children. While CT imaging has been shown to be a great help in establishing the diagnosis of COVID-19, the potential for increased radiation exposure to a large number of patients across the country cannot be ignored. Balancing the need for effective imaging to aid rapid diagnosis while also trying to minimize radiation exposure will be important for radiologists and clinicians alike as we work together to manage to COVID-19 outbreak. Replacing conventional CT (CCT) with low-dose CT (LDCT) and ultra-low-dose CT (ULDCT) has been proposed as a method to decrease radiation exposure in these patients (Figs. 1 and 2). In a retrospective study [13], LDCT with iterative reconstruction (IR) demonstrated sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of about 90% in the diagnosis of COVID-19. These parameters further increased to up to 96% when patients were symptomatic for more than 48 h. The likelihood of COVID-19 diagnosis increased to 91% from pre-LDCT value of 43% in patients with suggestive imaging findings whereas it was decreased to 9% in those with normal or atypical imaging findings. The respective post-LDCT values in patients with > 48 h of symptoms were 91% and 3%. Furthermore, LDCT demonstrated an additive diagnostic benefit in patients with concomitant bacterial pneumonia or an alternative diagnosis other than COVID-19. Fig. 1 A 57-year-old male presented with fever and shortness of breath in an epidemic area of COVID-19 (Iran) for diagnostic work-up. Low-dose CT demonstrates multifocal basilar predominant peripheral ground-glass opacities, characteristic of SARS-CoV-2 pneumonia (a, b). The low-dose CT chest radiation dosimetry of the patient was DLP of 78.34 mGy × cm and CTDIvol of 2.03 mGy. Conventional CT chest protocol in the same patient would result in DLP of 301.14 mGy × cm and CTDIvol of 7.87 mGy, which means that low-dose protocol decreased the radiation dose to less than 50% without a significant impact on the diagnostic value. (CT protocol: 100 kVp, 40 mAs, 0.5 s without iterative reconstruction) Fig. 2 Low-dose chest CT in a 77-year-old male with high-grade fever, shortness of breath, malaise, and cough in an epidemic area of COVID-19 (Iran) demonstrate left upper lobe ground-glass opacity (a). The patient had areas of consolidation superimposed on ground-glass opacity in bilateral lung bases (b). The constellation of findings is in keeping with SARS-CoV-2 pneumonia. The low-dose CT chest radiation dosimetry of the patient was DLP of 68.21 mGy × cm and CTDIvol of 2.10 mGy. Conventional CT chest protocol in the same patient would result in DLP of 264.55 mGy × cm and CTDIvol of 5.92 mGy, which means that low-dose protocol decreased the radiation dose to about 50% without a significant impact on the diagnostic value. (CT protocol: 100 kVp, 50 mAs, 0.5 s without iterative reconstruction) Since GGO and consolidation are the primary CT presentations of COVID-19 that have been shown to be effectively detected in LDCT or ULDCT, these low-dose image acquisition methods can be utilized for the evaluation of more radiation-sensitive individuals such as pregnant patients. The radiation dose with chest CCT is estimated at 7 mSv, which is reduced to 1–1.5 mSv with the new LDCT methods and as low as 0.3 mSv with ULDCT ones [18]. LDCT and ULDCT have shown efficacy to detect lung abnormalities (Table 1). Park et al. suggested that utilization of LDCT in the evaluation of patients suspected to have lower respiratory infections had successfully detected GGO and small consolidation when these pathologic findings were not detectable in the radiographic images [22]. Kubo et al. compared the detection of GGO and reticular opacities of LDCT with a previous CCT and reported an agreement rate of 83% between them [25]. In contrast, Christe et al. showed that sensitivity of LDCT (77%) is less than CCT (89%) in the detection of GGO particularly for patchy lesions but no significant difference was observed in the detection of consolidation between these scans. In fact, of the missed GGO lesion, half were detected as a nodule [26]. Kim Y. et al. observed no significant differences between LDCT and ULDCT in the detection of GGO and consolidation [19]. Table 1 Studies assessed application of chest low-dose CT or ultra-low-dose CT in evaluation of pneumonia Study Protocol Effective dose IR Imaging output Kim et al. (2014) [19] LDCT 120 kVp; 30 mAs 1.06 ± 0.11 mSv + There was no difference in detection of consolidation and GGO. Diagnosis was clear in 100% of LDCT and 96% of ULDCT. ULDCT A 100 kVp; 20 mAs 0.44 ± 0.05 mSv + ULDCT B 80 kVp; 30 mAs 0.31 ± 0.0.3 mSv + Dorneles et al. (2018) [20] ULDCT 80 kVp; 15–30 mAs; 0.5 s 0.39 ± 0.15 mSv + Image qualities were excellent or diagnostic in 99% of ULDCTs. Sun et al. (2017) [21] LDCT 120 kVp; 10–350 mAs; 0.8 s 0.59 ± 0.19 mSv + IR demonstrated better detection of pulmonary lesions and lesser noise than FBP. Park et al. (2015) [22] LDCT 100 kVp; 30 mAs; 0.5 s Not reported − LDCT detected GGO and small consolidation which were undetected in radiograph. Dorobisz et al. (2017) [23] LDCT 120 kVp; 25, 50, 75, 100 mAs 0.748–2.55 mSv + LDCT successfully detected GGO and consolidation Alamdaran et al. (2019) [24] LDCT 120 kVp; 30, 50 mAs, Not reported − Diagnoses of LDCTs were concordant with final diagnoses. Kubo et al. (2016) [25] CCT 120 kVp; 150 mAs; 0.5 s 10.7 − There were > 83% concordance between CCT findings and LDCT and no significant difference in detection rate. LDCT 120 kVp; 150 mAs; 0.5 s 3.57 − Christe et al. (2012) [26] CCT 120 mKv; 150 mAs Not reported − LDCT had lower sensitivity for GGO with no significant difference for consolidation. LDCT 120 mKv; 40 mAs Not reported − Ohno et al. (2012) [27] CCT 120kVp; 150mAs; 0.5 s Not reported − Image quality of LDCT methods was significantly low when IR was not applied. There was >80% concordance between detection of GGO and reticular opacities in all three methods. LDCT A 120 kVp; 50 mAs; 0.5 s Not reported ± LDCT B 120kVp; 25mAs; 0.5 s Not reported ± GGO, ground-glass opacity; CCT, conventional CT; LDCT, low-dose CT; ULDCT, ultra-low-dose CT; IR, iterative reconstruction; FBP, filtered back projection Likewise, pediatric patients benefit from dose reduction as they are at increased risk of malignancy following radiation due to their longer life expectancy and higher cell proliferation. A 1-year-old child is 10 times more susceptible to the adverse effects of ionizing radiation than an adult [28]. In a study published in JAMA, the routine effective dose delivered to pediatric patients during chest CT was calculated between 5 and 8 mAs. The lifetime attributable risk of solid organ malignancies per 10,000 CT scans was measured as high as 30 and 9 for girls and boys respectively. As it is expected, the projected radiation dose to body organs is higher in thyroid, lung, breast, and esophagus during a chest CT acquisition. It was reported that as low as 350 CT scans are needed to be performed to observe 1 cancer in girls [29]. LDCT scan has been also suggested in the evaluation of lung abnormalities in pediatrics and successfully detected GGOs and consolidations. Sun et al. measured an overall radiation dose of 0.59 mSv for evaluation of necrotizing pneumonia in different methods of irritative reconstruction which was significantly lower than CCT. They also demonstrated better detection and lower noise for lung lesions using LDCT performed with iterative reconstruction [21]. Therefore, low-dose CT image acquisition methods are of value in the evaluation of pediatric patients. IR methods have been used to improve image quality in low-dose image acquisition and decrease noise while reducing radiation dose. Sakai et al. used simulated GGO and reticular opacity lesions and implemented them inside the apex and lower lobe of the lung [30]. They obtained LDCT images using the IR method in various levels of radiation dose and compared it with filtered back projection (FBP) method which is widely used in scanners. They observed that although there was no significant difference in visual detection of reticular opacity between these two modalities, IR dramatically improved GGO visualization at low radiation doses. In a clinical study, IR demonstrated better detection of necrotizing lesions in children evaluated for necrotizing pneumonia [21]. Ohno et al. showed that without the implementation of IR, the image quality of LDCT was significantly lower than CCT. Following the addition of IR, no significant difference was noted [27]. Conclusion Since CT scan is capable to aid the diagnosis of COVID-19 in conjunction with other clinical findings, the utilization of LDCT and ULDCT with iterative reconstruction can be potentially recommended for the evaluation of these patients particularly in pregnant and pediatric populations to reduce radiation exposure. Although LDCT and ULDCT have demonstrated comparable efficacy in the detection of GGO and consolidation in patients with pneumonia, no studies have evaluated the efficacy of LDCT and ULDCT in the detection of pulmonary findings in the setting of COVID-19. A head to head comparison of low-dose and conventional protocol in very early stages of the disease is needed, while in intermediate and advanced stages, probably the low-dose CT protocol will provide adequate image quality and diagnostic accuracy.

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          Most cited references15

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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            Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study

            Summary Background Although CT scans are very useful clinically, potential cancer risks exist from associated ionising radiation, in particular for children who are more radiosensitive than adults. We aimed to assess the excess risk of leukaemia and brain tumours after CT scans in a cohort of children and young adults. Methods In our retrospective cohort study, we included patients without previous cancer diagnoses who were first examined with CT in National Health Service (NHS) centres in England, Wales, or Scotland (Great Britain) between 1985 and 2002, when they were younger than 22 years of age. We obtained data for cancer incidence, mortality, and loss to follow-up from the NHS Central Registry from Jan 1, 1985, to Dec 31, 2008. We estimated absorbed brain and red bone marrow doses per CT scan in mGy and assessed excess incidence of leukaemia and brain tumours cancer with Poisson relative risk models. To avoid inclusion of CT scans related to cancer diagnosis, follow-up for leukaemia began 2 years after the first CT and for brain tumours 5 years after the first CT. Findings During follow-up, 74 of 178 604 patients were diagnosed with leukaemia and 135 of 176 587 patients were diagnosed with brain tumours. We noted a positive association between radiation dose from CT scans and leukaemia (excess relative risk [ERR] per mGy 0·036, 95% CI 0·005–0·120; p=0·0097) and brain tumours (0·023, 0·010–0·049; p<0·0001). Compared with patients who received a dose of less than 5 mGy, the relative risk of leukaemia for patients who received a cumulative dose of at least 30 mGy (mean dose 51·13 mGy) was 3·18 (95% CI 1·46–6·94) and the relative risk of brain cancer for patients who received a cumulative dose of 50–74 mGy (mean dose 60·42 mGy) was 2·82 (1·33–6·03). Interpretation Use of CT scans in children to deliver cumulative doses of about 50 mGy might almost triple the risk of leukaemia and doses of about 60 mGy might triple the risk of brain cancer. Because these cancers are relatively rare, the cumulative absolute risks are small: in the 10 years after the first scan for patients younger than 10 years, one excess case of leukaemia and one excess case of brain tumour per 10 000 head CT scans is estimated to occur. Nevertheless, although clinical benefits should outweigh the small absolute risks, radiation doses from CT scans ought to be kept as low as possible and alternative procedures, which do not involve ionising radiation, should be considered if appropriate. Funding US National Cancer Institute and UK Department of Health.
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              The use of computed tomography in pediatrics and the associated radiation exposure and estimated cancer risk.

              Increased use of computed tomography (CT) in pediatrics raises concerns about cancer risk from exposure to ionizing radiation. To quantify trends in the use of CT in pediatrics and the associated radiation exposure and cancer risk. Retrospective observational study. Seven US health care systems. The use of CT was evaluated for children younger than 15 years of age from 1996 to 2010, including 4 857 736 child-years of observation. Radiation doses were calculated for 744 CT scans performed between 2001 and 2011. Rates of CT use, organ and effective doses, and projected lifetime attributable risks of cancer. RESULTS The use of CT doubled for children younger than 5 years of age and tripled for children 5 to 14 years of age between 1996 and 2005, remained stable between 2006 and 2007, and then began to decline. Effective doses varied from 0.03 to 69.2 mSv per scan. An effective dose of 20 mSv or higher was delivered by 14% to 25% of abdomen/pelvis scans, 6% to 14% of spine scans, and 3% to 8% of chest scans. Projected lifetime attributable risks of solid cancer were higher for younger patients and girls than for older patients and boys, and they were also higher for patients who underwent CT scans of the abdomen/pelvis or spine than for patients who underwent other types of CT scans. For girls, a radiation-induced solid cancer is projected to result from every 300 to 390 abdomen/pelvis scans, 330 to 480 chest scans, and 270 to 800 spine scans, depending on age. The risk of leukemia was highest from head scans for children younger than 5 years of age at a rate of 1.9 cases per 10 000 CT scans. Nationally, 4 million pediatric CT scans of the head, abdomen/pelvis, chest, or spine performed each year are projected to cause 4870 future cancers. Reducing the highest 25% of doses to the median might prevent 43% of these cancers. The increased use of CT in pediatrics, combined with the wide variability in radiation doses, has resulted in many children receiving a high-dose examination. Dose-reduction strategies targeted to the highest quartile of doses could dramatically reduce the number of radiation-induced cancers.
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                Author and article information

                Contributors
                salar.tofighi@usc.edu
                Saeideh.njf@gmail.com
                sean.johnston@med.usc.edu
                ali.gholamrezanezhad@med.usc.edu
                Journal
                Emerg Radiol
                Emerg Radiol
                Emergency Radiology
                Springer International Publishing (Cham )
                1070-3004
                1438-1435
                10 May 2020
                : 1-5
                Affiliations
                GRID grid.42505.36, ISNI 0000 0001 2156 6853, Keck School of Medicine, , University of Southern California, ; 1500, San Pablo St., Room 2250, Los Angeles, CA 90033 USA
                Author information
                http://orcid.org/0000-0002-5520-5711
                Article
                1784
                10.1007/s10140-020-01784-3
                7211266
                32390122
                3d10e155-e883-4a19-95d6-6450ab4379f4
                © American Society of Emergency Radiology 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 19 April 2020
                : 29 April 2020
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                Emergency medicine & Trauma
                Emergency medicine & Trauma

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