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      COVID-19 and radiation induced pneumonitis: overlapping clinical features of different diseases

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          Abstract

          SARS-CoV-2 is a novel human coronavirus, first observed at the end of December 2019 in China. In March 2020, with the outbreak of the epidemic, the World Health Organization (WHO) declared the global public health emergency [1]. COVID-19 is the respiratory syndrome associated with SARS-CoV-2. The most serious clinical entity is characterized by severe interstitial pneumonia [2]. Cancer patients are more susceptible to infection due to their lower immunity and therefore might be at increased risk of COVID-19 infection. Furthermore, the prognosis of cancer patients dealing with COVID-19 disease is unpaired as they are usually older with multiple comorbidities. Chinese cancer patients with COVID-19 showed a higher risk of serious events compared with patients without cancer (39% vs 8%, p=0.0003) [3]. Lung cancer patients may be further at risk as they have a reduced lung function and often suffer from recurrent pulmonary infections. Radiotherapy is a cornerstone in both definitive or adjuvant treatment of lung malignancies. The clinical picture of radiation induced lung injury (RILI) is radiation pneumonitis (RP) that is relatively common, occurring in 15–40% of patients receiving concurrent chemoradiation (CCRT) for NSCLC [4]. In patients treated with thoracic radiotherapy, discerning RP from COVID-19 disease can be particularly challenging as RP characteristics can mimic SARS-CoV-2 interstitial pneumonia. The most common symptoms are dyspnoea and a dry non-productive cough. High fever (the most common initial symptom of COVID-19) frequently occurs in patients presenting severe lung RP. No laboratory test can definitively identify RP. However, most patients will have a high erythrocyte sedimentation rate (VES) or C-reactive protein and normal procalcitonin. Furthermore, high serum ferritin and D-Dimer are elevated in these patients due to cancer disease [5], [6]. In addition, lymphopenia (the most common laboratory finding in patients diagnosed with COVID-19) can be relatively frequent in RP as lymphocytes are known to be more radiosensitive and lymphocyte count reduction has been reported by a median of 67% in NSCLC patients undergoing CCRT [7]. Chest CT is the preferred imaging technique to detect RP. The radiological characteristics of RP are ground-glass opacities (GGO) in the initial phase and patchy areas of consolidation in the peak phase. Furthermore, the thickened pulmonary interstitium and the crazy paving pattern is a common chest CT manifestation of severe RP and COVID-19 (figure 1 ). Linear scarring appearance is typical of later stages, as fibrosis has developed [8], [9]. Figure 1 Patient presenting severe radiation pneumonitis. CT scan shows reticular pattern on 20 Gy irradiated area. In order to discern between the two clinical entities, some considerations should be made. Firstly, acute symptomatic RP usually occurs within 3 months from the end of radiotherapy. In the Pacific trial in the placebo group, the median time to the onset of RP was 76.5 days [10]. Therefore, an interstitial pneumonia with high fever occurring several months after radiotherapy is unlikely to be radiation induced. Secondly, RP is usually unilateral and the distribution of chest CT abnormalities correspond to radiation treatment fields. It can, therefore, be helpful to correlate CT abnormalities with volumes of treatment and distribution of different doses to lungs. Thirdly, the onset of symptomatic RP is slower than COVID-19 disease, which can show an unfavourable clinical course with the onset of dyspnoea within 5 days and ARDS within 8 days [2]. In conclusion, even if there is still much more to learn about COVID-19 disease, in cancer patients with a history of thoracic radiotherapy treatment and a suspicion of COVID-19 disease, an extra effort should be made to differentiate COVID-19 interstitial disease from RP. Conflict of interest statement None. Funding None.

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          Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China

          China and the rest of the world are experiencing an outbreak of a novel betacoronavirus known as severe acute respiratory syndrome corona virus 2 (SARS-CoV-2). 1 By Feb 12, 2020, the rapid spread of the virus had caused 42 747 cases and 1017 deaths in China and cases have been reported in 25 countries, including the USA, Japan, and Spain. WHO has declared 2019 novel coronavirus disease (COVID-19), caused by SARS-CoV-2, a public health emergency of international concern. In contrast to severe acute respiratory system coronavirus and Middle East respiratory syndrome coronavirus, more deaths from COVID-19 have been caused by multiple organ dysfunction syndrome rather than respiratory failure, 2 which might be attributable to the widespread distribution of angiotensin converting enzyme 2—the functional receptor for SARS-CoV-2—in multiple organs.3, 4 Patients with cancer are more susceptible to infection than individuals without cancer because of their systemic immunosuppressive state caused by the malignancy and anticancer treatments, such as chemotherapy or surgery.5, 6, 7, 8 Therefore, these patients might be at increased risk of COVID-19 and have a poorer prognosis. On behalf of the National Clinical Research Center for Respiratory Disease, we worked together with the National Health Commission of the People's Republic of China to establish a prospective cohort to monitor COVID-19 cases throughout China. As of the data cutoff on Jan 31, 2020, we have collected and analysed 2007 cases from 575 hospitals (appendix pp 4–9 for a full list) in 31 provincial administrative regions. All cases were diagnosed with laboratory-confirmed COVID-19 acute respiratory disease and were admitted to hospital. We excluded 417 cases because of insufficient records of previous disease history. 18 (1%; 95% CI 0·61–1·65) of 1590 COVID-19 cases had a history of cancer, which seems to be higher than the incidence of cancer in the overall Chinese population (285·83 [0·29%] per 100 000 people, according to 2015 cancer epidemiology statistics 9 ). Detailed information about the 18 patients with cancer with COVID-19 is summarised in the appendix (p 1). Lung cancer was the most frequent type (five [28%] of 18 patients). Four (25%) of 16 patients (two of the 18 patients had unknown treatment status) with cancer with COVID-19 had received chemotherapy or surgery within the past month, and the other 12 (25%) patients were cancer survivors in routine follow-up after primary resection. Compared with patients without cancer, patients with cancer were older (mean age 63·1 years [SD 12·1] vs 48·7 years [16·2]), more likely to have a history of smoking (four [22%] of 18 patients vs 107 [7%] of 1572 patients), had more polypnea (eight [47%] of 17 patients vs 323 [23%] of 1377 patients; some data were missing on polypnea), and more severe baseline CT manifestation (17 [94%] of 18 patients vs 1113 [71%] of 1572 patients), but had no significant differences in sex, other baseline symptoms, other comorbidities, or baseline severity of x-ray (appendix p 2). Most importantly, patients with cancer were observed to have a higher risk of severe events (a composite endpoint defined as the percentage of patients being admitted to the intensive care unit requiring invasive ventilation, or death) compared with patients without cancer (seven [39%] of 18 patients vs 124 [8%] of 1572 patients; Fisher's exact p=0·0003). We observed similar results when the severe events were defined both by the above objective events and physician evaluation (nine [50%] of 18 patients vs 245 [16%] of 1572 patients; Fisher's exact p=0·0008). Moreover, patients who underwent chemotherapy or surgery in the past month had a numerically higher risk (three [75%] of four patients) of clinically severe events than did those not receiving chemotherapy or surgery (six [43%] of 14 patients; figure ). These odds were further confirmed by logistic regression (odds ratio [OR] 5·34, 95% CI 1·80–16·18; p=0·0026) after adjusting for other risk factors, including age, smoking history, and other comorbidities. Cancer history represented the highest risk for severe events (appendix p 3). Among patients with cancer, older age was the only risk factor for severe events (OR 1·43, 95% CI 0·97–2·12; p=0·072). Patients with lung cancer did not have a higher probability of severe events compared with patients with other cancer types (one [20%] of five patients with lung cancer vs eight [62%] of 13 patients with other types of cancer; p=0·294). Additionally, we used a Cox regression model to evaluate the time-dependent hazards of developing severe events, and found that patients with cancer deteriorated more rapidly than those without cancer (median time to severe events 13 days [IQR 6–15] vs 43 days [20–not reached]; p<0·0001; hazard ratio 3·56, 95% CI 1·65–7·69, after adjusting for age; figure). Figure Severe events in patients without cancer, cancer survivors, and patients with cancer (A) and risks of developing severe events for patients with cancer and patients without cancer (B) ICU=intensive care unit. In this study, we analysed the risk for severe COVID-19 in patients with cancer for the first time, to our knowledge; only by nationwide analysis can we follow up patients with rare but important comorbidities, such as cancer. We found that patients with cancer might have a higher risk of COVID-19 than individuals without cancer. Additionally, we showed that patients with cancer had poorer outcomes from COVID-19, providing a timely reminder to physicians that more intensive attention should be paid to patients with cancer, in case of rapid deterioration. Therefore, we propose three major strategies for patients with cancer in this COVID-19 crisis, and in future attacks of severe infectious diseases. First, an intentional postponing of adjuvant chemotherapy or elective surgery for stable cancer should be considered in endemic areas. Second, stronger personal protection provisions should be made for patients with cancer or cancer survivors. Third, more intensive surveillance or treatment should be considered when patients with cancer are infected with SARS-CoV-2, especially in older patients or those with other comorbidities.
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            Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review

            Coronavirus disease 2019 (COVID-19) outbreak, first reported in Wuhan, China, has rapidly swept around the world just within a month, causing global public health emergency. In diagnosis, chest computed tomography (CT) manifestations can supplement parts of limitations of real-time reverse transcription polymerase chain reaction (RT-PCR) assay. Based on a comprehensive literature review and the experience in the frontline, we aim to review the typical and relatively atypical CT manifestations with representative COVID-19 cases at our hospital, and hope to strengthen the recognition of these features with radiologists and help them make a quick and accurate diagnosis. Key Points • Ground glass opacities, consolidation, reticular pattern, and crazy paving pattern are typical CT manifestations of COVID-19. • Emerging atypical CT manifestations, including airway changes, pleural changes, fibrosis, nodules, etc., were demonstrated in COVID-19 patients. • CT manifestations may associate with the progression and prognosis of COVID-19.
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              Predicting radiation pneumonitis after chemoradiation therapy for lung cancer: an international individual patient data meta-analysis.

              Radiation pneumonitis is a dose-limiting toxicity for patients undergoing concurrent chemoradiation therapy (CCRT) for non-small cell lung cancer (NSCLC). We performed an individual patient data meta-analysis to determine factors predictive of clinically significant pneumonitis. After a systematic review of the literature, data were obtained on 836 patients who underwent CCRT in Europe, North America, and Asia. Patients were randomly divided into training and validation sets (two-thirds vs one-third of patients). Factors predictive of symptomatic pneumonitis (grade ≥2 by 1 of several scoring systems) or fatal pneumonitis were evaluated using logistic regression. Recursive partitioning analysis (RPA) was used to define risk groups. The median radiation therapy dose was 60 Gy, and the median follow-up time was 2.3 years. Most patients received concurrent cisplatin/etoposide (38%) or carboplatin/paclitaxel (26%). The overall rate of symptomatic pneumonitis was 29.8% (n=249), with fatal pneumonitis in 1.9% (n=16). In the training set, factors predictive of symptomatic pneumonitis were lung volume receiving ≥20 Gy (V(20)) (odds ratio [OR] 1.03 per 1% increase, P=.008), and carboplatin/paclitaxel chemotherapy (OR 3.33, P 0.65). On RPA, the highest risk of pneumonitis (>50%) was in patients >65 years of age receiving carboplatin/paclitaxel. Predictors of fatal pneumonitis were daily dose >2 Gy, V(20), and lower-lobe tumor location. Several treatment-related risk factors predict the development of symptomatic pneumonitis, and elderly patients who undergo CCRT with carboplatin-paclitaxel chemotherapy are at highest risk. Fatal pneumonitis, although uncommon, is related to dosimetric factors and tumor location. Copyright © 2013 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Radiother Oncol
                Radiother Oncol
                Radiotherapy and Oncology
                Elsevier B.V.
                0167-8140
                1879-0887
                14 April 2020
                14 April 2020
                Affiliations
                [a ]Radiation Oncology, Campus Bio-Medico University, Rome, Italy
                [b ]Radiation Oncology, “Tor Vergata” University, Rome, Italy
                Author notes
                [* ]Corresponding author at: Carlo GRECO, Radiation Oncology, Campus Bio-Medico University, via Alvaro del Portillo 200, 00128 Rome, Italy c.greco@ 123456unicampus.it
                Article
                S0167-8140(20)30190-0
                10.1016/j.radonc.2020.04.009
                7195260
                32342879
                a296c856-1b08-4d3d-a1d5-4023a51d0727
                © 2020 Elsevier B.V. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 8 April 2020
                : 9 April 2020
                Categories
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                Oncology & Radiotherapy
                Oncology & Radiotherapy

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