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In 2020, the global spread of Coronavirus Disease 2019 exposed entire world to a severe health crisis. This has limited fast and accurate screening of suspected cases due to equipment shortages and and harsh testing environments. The current diagnosis of suspected cases has benefited greatly from the use of radiographic brain imaging, also including X-ray and scintigraphy, as a crucial addition to screening tests for new coronary pneumonia disease. However, it is impractical to gather enormous volumes of data quickly, which makes it difficult for depth models to be trained. To solve these problems, we obtained a new dataset by data augmentation Mixup method for the used chest CT slices. It uses lung infection segmentation (Inf-Net [1]) in a deep network and adds a learning framework with semi-supervised to form a Mixup-Inf-Net semi-supervised learning framework model to identify COVID-19 infection area from chest CT slices. The system depends primarily on unlabeled data and merely a minimal amount of annotated data is required;therefore, the unlabeled data generated by Mixup provides good assistance. Our framework can be used to improve improve learning and performance. The SemiSeg dataset and the actual 3D CT images that we produced are used in a variety of tests, and the analysis shows that Mixup-Inf-Net semi-supervised outperforms most SOTA segmentation models learning framework model in this study, which also enhances segmentation performance. © 2023 SPIE.
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COVID-19 still affects a large population worldwide with possible post-traumatic sequelae requiring long-term patient follow-up for the most severe cases. The lung is the primary target of severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2) infection. In particular, the virus affects the entire pulmonary vascular tree from large vessels to capillaries probably leading to an abnormal vascular remodeling. In this study we investigated two modalities for assessing this remodeling, SPECT perfusion scintigraphy and computed tomography, the latter enabling the computation of vascular remodeling patterns. We analyzed on a cohort of 30 patients the relationship between vascular remodeling and perfusion defects in the peripheral lung area, which is a predominant focus of the COVID-19 infectious patterns. We found that such relationship exists, demonstrated by moderate significant correlations between SPECT and CT measures. In addition, a vascular remodeling index derived from the z-score normalized peripheral CT images showed a moderate significant correlation with the diffusing capacity of the lung for carbon monoxide (DLCO) measures. Altogether these results point CT scan as a good tool for a standardized, quantitative, and easy-to-use routine characterization and follow-up of COVID-19-induced vascular remodeling. An extensive validation of these results will be carried out in the near future on a larger cohort. © 2023 SPIE.
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The stormy clouds of the coronavirus disease 2019 outbreak caused a rapidly spreading epidemic still hanging over the sphere. Any steps to transition toward a new normal should be guided by health authorities, together with economic and societal considerations. There are various items mainly falling into three classifications, including patient worry, clinical demand, and economic recession. Social distancing, lay-offs, and decreased number of patients with health insurance may lead to a prolonged period to retrieve normalcy. To return to a new normal, an individualized management model should be developed for each laboratory based on staff, instruments, services, crowding, physical space, hospital base unit, or outpatient clinic. Continuous training of different occupational staffs is among the key parameters in maintaining this readiness. The proposed response model should have internal and systemic integrity as well as coherence among the included items in two intra- and inter-unit management categories, namely thinking globally and acting locally.Copyright © 2021 mums.ac.ir All rights reserved.
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Objectives: COVID-19 posed profound challenges to nuclear medicine (NM) practice and education on an international scope. Initial lessons learned may be useful in understanding and optimizing dissemination of critical information during global disasters. To better understand the pandemic's initial manifold impact and responses that were in turn enacted, we systematically reviewed relevant articles published during the 2020 calendar year. Method(s): A librarian experienced in systematic reviews performed a rapid scoping review of the English language literature indexed in PubMed, Embase and Web of Science by crossing NM and COVID terms;445 citations were returned. Duplicate, extraneous, non-English and non-full text articles were excluded leaving 248 articles which were analyzed by origin, topic, design, and imaging details. Result(s): An array of topics, techniques, journals and countries of origin were encountered. 158 articles appeared in primary NMjournals, 26 appeared in generic radiology journals and 65 in non-imaging journals. Most frequent countries represented were USA (55), Italy (33), France (19) and UK (17), reflecting the hard-hit countries early during the pandemic. 118 clinical articles were case reports or small series of which 80 featured FDG-PET/CT. There were 36 observational studies. Among non-clinical topics, articles focused on safetymeasures (102), economics and recovery (23), remote reading (17) and education (8). There were 17 surveys. Society-based guidelines (47) and individual-group best practices (79) were published relating to cardiology (33), lung scintigraphy (12), andmultiple topics (48). Systematic (10) and narrative reviews (61) were less frequent than opinion articles (75). Frequent modalities discussed were FDG PET (156), nuclear cardiology (56) and lung scintigraphy (35). Conclusion(s): The medical literature has memorialized a robust response of information sharing during the initial challenges the COVID-19 pandemic relating to patient care, operations and education. Through scoping review, we have analyzed the nature of information disseminated. Opinions and single group best practices dominated the literature. Clinical reports during the first year were primarily case reports or small series, frequently FDG-PET/ CT. The nature of the literature matured as the year progressed, and sources of information broadened as the epidemic spread.
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Objectives: The aim of this study is to evaluate the effect of the COVID-19 pandemic on myocardial perfusion scans (MPS) during the COVID-19 pandemic period. Method(s): We respectively reviewed single photon emission computed tomography myocardial perfusion scans (SPECT-MPS) performed between June and September 2020 during the COVID-19 pandemic at the Nuclear Medicine Research Center at Mashhad University of Medical Sciences. The findings of stress SPECT-MPS studies acquired in the corresponding months of 2019 were also evaluated for direct comparison. Result(s): In COVID-19 pandemic compared to period prior to the pandemic, no difference was observed in terms of age range of patients under study or their cardiovascular risk factors, except smoking which underwent a significant increase during the COVID-19 pandemic ( 19% vs. 13% , p = 0.009). While the number of patients with non-angina (19% vs. 31%, p = 0.000) or typical (11% vs. 19%, p = 0.000) chest pain significantly decreased during the COVID-19 pandemic, atypical (42% vs. 25%, p = 0.000) chest pain cases showed an increasing number. By considering pretest probability of the patients (high, intermediate and low/very low), during the COVID-19 period, cases of high pretest probability decreased (6% vs. 18%, p = 0.000) and intermediate pretest probability patients also increased (64% vs. 55%, p = 0.005) while low/very low pretest probability cases showed no changes between the two periods. All types of MPS stress tests in the COVID-19 period were pharmacological compared to exercise stress test. No statistically significant difference on the myocardial ischemia or cardiomyopathy between patients between the two periods was observed. Summed stress score (SSS) and summed rest score (SRS) was similar over the two periods,while summed difference score (SDS) significantly increased over the course of COVID-19, confirming a non- increasing pattern of myocardial ischemia. Conclusion(s): Previous research underscores the fact that the number of stress SPECT-MPS studies was significantly reduced during the COVID-19 pandemic compared to the corresponding months prior to the pandemic [1, 2]. Our study concluded that all types of MPS stress tests in the COVID-19 period were pharmacological. This is due to the fact that all related recommendations published in the literature [3] highlighted the avoidance of exercise stress tests during the COVID-19 pandemic to reduce the risk of droplet exposure. During the COVID-19 pandemic, patients in two ends of the spectrum (e.g., non-angina & typical chest pain) were referred less for MPS. However, patients in the middle of the spectrum (e.g., atypical chest pain) underwentMPS less frequently. Myocardial ischemia and cardiomyopathy were not decreased or increased in patients over the COVID-19 period.
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The proceedings contain 91 papers. The topics discussed include: the new approach of COVID-19 patients with deteriorating respiratory functions using perfusion SPECT/CT imaging;increasing interest in nuclear medicine: evaluation of an educational workshop;cost-benefit analysis recommends further utilization of cardiac PET/MR for sarcoidosis evaluation;development of a nomogram model for predicting the recurrence of differentiated thyroid carcinoma patients based on a thyroid cancer database from a tertiary hospital in China;multi-center validation of radiomic models in new data using ComBat-based harmonization of features;bone scan with Tc99m-MDP, the missing link in the initial staging of muscle-invasive bladder carcinoma;and comparison of absorbed doses to kidneys calculated employing three time points and employing two time points in neuroendocrine patients undergoing Lu-177 DOTATATE therapy using planar images.
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BackgroundWith the global surge in COVID-19 pandemic, it has become inevitable for everyone, inclusive of nuclear medicine personnel, to play their role in combating and containing its transmission. During fall 2019, China encountered a novel coronavirus in Wuhan city which was later on termed as COVID-19. The pneumonia caused by COVID-19 is characterized by dry cough, fever, fatigue, and shortness of breathing (dyspnea). Until now, this virus has spread worldwide and continues to cause exponential causalities.Main bodyThis global catastrophic scenario calls for stringent measures to control COVID-19 infection. Thus herein, the respective authors have endeavored to review precautionary measures for nuclear medicine department, encompassing its personnel as well as the patients so that intradepartmental transmission can be prevented. This requires development and execution of a robust and dynamic plan elaborating the healthcare guidelines. Hence, our review paper covers the arena of nuclear medicine services in particular.ConclusionNuclear medicine can play its role in mitigating COVID-19 transmission to personnel and patients if provided with ample PPEs and guidelines are strictly followed. With implementing SOPs (standard operating procedures) based on these guidelines, nuclear medicine facilities will be better prepared for impromptu actions in case of any future outbreak while retaining the smooth flow of obligatory healthcare services.
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The article discusses the task of radiologic technologists to know clotting disorders and image them best. Topics covered include the various symptoms and blood clots of patients with thrombotic disorders, and medical imaging's beneficial indication of the severity and blood clots' location in the patient's circulatory system, and support for accurate diagnosis and appropriate treatment. Also noted is the boost for positive patient outcomes when the health care team works together.
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COVID-19 is a multisystemic disease, and hence its potential manifestations on nuclear medicine imaging can extend beyond the lung. Therefore, it is important for the nuclear medicine physician to recognize these manifestations in the clinic. While FDG-PET/CT is not indicated routinely in COVID-19 evaluation, its unique capability to provide a functional and anatomical assessment of the entire body means that it can be a powerful tool to monitor acute, subacute, and long-term effects of COVID-19. Single-photon scintigraphy is routinely used to assess conditions such as pulmonary embolism, cardiac ischemia, and thyroiditis, and COVID-19 may present in these studies. The most common nuclear imaging finding of COVID-19 vaccination to date is hypermetabolic axillary lymphadenopathy. This may pose important diagnostic and management dilemmas in oncologic patients, particularly those with malignancies where the axilla constitutes a lymphatic drainage area. This article aims to summarize the relevant literature published since the beginning of the pandemic on the intersection between COVID-19 and nuclear medicine.
Subject(s)
COVID-19 , Nuclear Medicine , Humans , Positron Emission Tomography Computed Tomography , COVID-19 Vaccines , Fluorodeoxyglucose F18 , Radionuclide Imaging , Positron-Emission Tomography , ToesABSTRACT
Purpose: Beaumont Hospital (Dublin) is a large academic teaching hospital and specialist centre for complex epilepsy and epilepsy surgery. Ictal SPECT is a unique Nuclear Medicine examination that can be used as a tool in pre-surgical localisation of an epileptic focus. During a seizure there is hyper perfusion in the epileptogenic focus. While the patient is being EEG monitored in the Epilepsy Monitoring Unit (EMU), rapid injection of a brain perfusion radiopharmaceutical at seizure onset followed by ictal SPECT imaging can provide the epilepsy surgical team with more specific localisation information to aid presurgical planning. In view of the potential benefits to epilepsy patients an Ictal SPECT service has been established in Beaumont Hospital. There are many challenges and complex issues to address when developing a routine Ictal SPECT service in order to provide a quality and safe service to patients and staff. A multi-disciplinary approach was taken when planning and developing this new service in Beaumont Hospital. Material(s) and Method(s): This procedure is carried out between the following departments: Nuclear Medicine Department, Neurology, the Epilepsy Monitoring Unit (EMU) and Neuro Physics. The following areas required careful development and planning for the project: (1) Patient Selection and Preparation: (2) Radiopharmaceutical Selection, Preparation and Dispensing: (3) Nuclear Medicine Radiation Protection Issues: (4) Patient monitoring and administration of Radiopharmaceutical on the EMU: (5) Nuclear Medicine Patient Scanning: (6) Data Post Processing (SISCOM): A site visit to UZ Leuven hospital Belgium occurred early in the project, this provided invaluable information and support from an experienced centre with a long established Ictal SPECT service. Result(s): There have been many unexpected challenges during the establishment of this service: - Supply issues of the Radiopharmaceutical tracer - The impact of Covid-19 - An issue with absorption of the radiopharmaceutical within the Delivery tubing system To date two patients have successfully undergone Ictal SPECT exams, both were administered the radiopharmaceutical within seconds of the onset of a seizure. The results of the Ictal SPECT exam were discussed at a multi-discipline meeting and were used in the patient pre-surgical planning. Conclusion(s): Ictal SPECT is an intricate procedure that requires extensive planning and co-operation between the multi-disciplinary team in order to provide a quality and safe service to the patient. Beaumont Hospital hopes to continue and expand this service.Copyright © 2023 Southern Society for Clinical Investigation.
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During the coronavirus disease 2019 (COVID-19) pandemic, several case studies demonstrated that many asymptomatic patients with COVID-19 underwent fluorine-18 fluorodeoxyglucose ([18F]FDG) positron emission tomography/computed tomography (PET/CT) examination for various indications. However, there is a lack of literature to characterize the pattern of [18F]FDG PET/CT imaging on asymptomatic COVID-19 patients. Therefore, a systematic review to analyze the pulmonary findings of [18F]FDG PET/CT on asymptomatic COVID-19 patients was conducted. This systematic review was performed under the guidelines of PRISMA. PubMed, Medline, and Web of Science were used to search for articles for this review. Articles with the key words: "asymptomatic", "COVID-19", "[18F]FDG PET/CT", and "nuclear medicine" were searched for from 1 January 2020 to 20 May 2021. Thirty asymptomatic patients with COVID-19 were included in the eighteen articles. These patients had a mean age of 62.25 ± 14.85 years (male: 67.71 ± 12.00; female: 56.79 ± 15.81). [18F]FDG-avid lung lesions were found in 93.33% (28/30) of total patients. The major lesion was [18F]FDG-avid multiple ground-glass opacities (GGOs) in the peripheral or subpleural region in bilateral lungs, followed by the consolidation. The intensity of [18F]FDG uptake in multiple GGOs was 5.605 ± 2.914 (range from 2 to 12) for maximal standardized uptake value (SUVmax). [18F]FDG-avid thoracic lymph nodes (LN) were observed in 40% (12/40) of the patients. They mostly appeared in both mediastinal and hilar regions with an SUVmax of 5.8 ± 2.93 (range from 2.5 to 9.6). The [18F]FDG uptake was observed in multiple GGOs, as well as in the mediastinal and hilar LNs. These are common patterns in PET/CT of asymptomatic patients with COVID-19.
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BackgroundIncidental findings could be a very important observation in various nuclear medicine studies. There have been few cases of incidental findings of perfusion abnormalities on early quality control images of the lungs during radiolabeled white blood cell studies. This study is the first to detect perfusion defects on the early quality control images of the lungs during a labelled white blood cell study suspicious of pulmonary embolism in an unknown but treated COVID-19 patient.Case presentationWe present a 40-year-old male who was referred to our department for a nuclear medicine 99mTc HMPAO-labelled white blood cell study to rule out osteomyelitis of his right foot. Early 5-min quality control images of his lungs revealed two perfusion defects in the right lung. A suspicion of pulmonary embolism was made, and a perfusion only SPECT/CT study the next day confirmed the suspicion of pulmonary embolism in one of the defects, with a possible fissure sign as a differential.ConclusionThere has been an increase in the incidence of lung perfusion abnormalities and pulmonary embolism during the COVID-19 pandemic. Some of these may be detected as incidental findings on early lung quality control images of radiolabeled white blood cell studies.
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OBJECTIVE: As hospital admission rate is high during the COVID-19 pandemic, hospital length of stay (LOS) is a key indicator of medical resource allocation. This study aimed to elucidate specific dynamic longitudinal computed tomography (CT) imaging changes for patients with COVID-19 over in-hospital and predict individual LOS of COVID-19 patients with Delta variant of SARS-CoV-2 using the machine learning method. MATERIALS AND METHODS: This retrospective study recruited 448 COVID-19 patients with a total of 1761 CT scans from July 14, 2021 to August 20, 2021 with an averaged hospital LOS of 22.5 ± 7.0 days. Imaging features were extracted from each CT scan, including CT morphological characteristics and artificial intelligence (AI) extracted features. Clinical features were obtained from each patient's initial admission. The infection distribution in lung fields and progression pattern tendency was analyzed. Then, to construct a model to predict patient LOS, each CT scan was considered as an independent sample to predict the LOS from the current CT scan time point to hospital discharge combining with the patients' corresponding clinical features. The 1761 follow-up CT data were randomly split into training set and testing set with a ratio of 7:3 at patient-level. A total of 85 most related clinical and imaging features selected by Least Absolute Shrinkage and Selection Operator were used to construct LOS prediction model. RESULTS: Infection-related features were obtained, such as the percentage of the infected region of lung, ground-glass opacity (GGO), consolidation and crazy-paving pattern, and air bronchograms. Their longitudinal changes show that the progression changes significantly in the earlier stages (0–3 days to 4–6 days), and then, changes tend to be statistically subtle, except for the intensity range between (−470 and −70) HU which exhibits a significant increase followed by a continuous significant decrease. Furthermore, the bilateral lower lobes, especially the right lower lobe, present more severe. Compared with other models, combining the clinical, imaging reading, and AI features to build the LOS prediction model achieved the highest R2 of 0.854 and 0.463, Pearson correlation coefficient of 0.939 and 0.696, and lowest mean absolute error of 2.405 and 4.426, and mean squared error of 9.176 and 34.728 on the training and testing set. CONCLUSION: The most obvious progression changes were significantly in the earlier stages (0–3 days to 4–6 days) and the bilateral lower lobes, especially the right lower lobe. GGO, consolidation, and crazy-paving pattern and air bronchograms are the most main CT findings according to the longitudinal changes of infection-related features with LOS (day). The LOS prediction model of combining clinical, imaging reading, and AI features achieved optimum performance.
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Computed tomography has become the main method of early diagnostics of COVID-19 during the pandemic of the novel coronavirus infection. Based on results of computed tomography of the chest it is possible to diagnose viral pneumonia associated with COVIS-19, to quickly assess the lung damage volume and severity of changes, to perform quick routing of patients and to start antiviral treatment. Hence, 2020 was associated with a rapid increase in the number of computed tomography examinations with corresponding changes in the structure of X-ray diagnostics. The aim of the current study was to evaluate the impact of the pandemic of the novel coronavirus infection on the structure of X-ray diagnostics and collective doses from medical exposure in the Russian Federation in 2019-2020. The study was based on the results of analysis of the federal state statistical surveillance forms 3-DOZ and 30 as well as on the data on Covid-19 morbidity in the regions of the Russian Federation. The results of the study indicate that there were no significant changes in the structure of X-ray diagnostics in 2020 compared to 2019 except for the increase in the number of computed tomography examinations. Their contribution to the total number of X-ray examinations has increased to 8,2% in 2020 compared to 4,6% in 2019. Contribution of other imaging modalities to the total number of X-ray examinations has not changed significantly. In 2020 the number of X-ray examinations decreased by 20% in average, varying from 6% for diagnostic nuclear medicine to 42% for interventional examinations. At the same time, the number of computed tomography examinations has rapidly increased by 60%. The structure of collective dose from medical exposure has significantly changed in 2020. Contribution of computed tomography to the collective dose in 2020 accounted for to 74% compared to 57% in 2019. Contribution of other imaging modalities has decreased by the factor of 1,5-2. Contribution of radiography examinations has decreased to 10,5% compared to 19% in 2019. Collective doses have correspondingly decreased by 20-30% for all imaging modalities except for computed tomography. Collective dose from computed tomography has increased by 71% compared to 2019. The number of all X-ray examinations in the Russian Federation has decreased by 12%: from 294 million in 2019 to 258 million in 2020. Collective dose from medical exposure has rapidly increased in 2020 by 30% to 115 thousand man.-Sv compared to 88 thousand man.-Sv in 2019. In average, in regions of the Russian Federation in 2020 each second computed tomography examination has been performed as a part of COVID-19 diagnostics with 2,3 computed tomography examinations per person infected with COVID.Copyright © 2022, Saint-Petersburg Research Institute of Radiation Hygiene after Professor P.V. Ramzaev. All rights reserved.
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PURPOSE: The purpose of this study was to investigate the clinical and baseline computed tomography (CT) features and their correlation in patients infected with the B.1.617.2 (Delta) variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). MATERIALS AND METHODS: Clinical and chest baseline CT data of patients infected with the Delta variant of SARS-CoV-2 from July to August 2021 were collected. First, the correlation between the clinical data and baseline CT results was analyzed according to CT positivity or negativity. Then, subgroup analysis was performed between different age distributions and clinical characteristics. Next, the CT characteristics and clinical data of all baseline CT-positive patients were collected, and the correlations between CT characteristics and age, vaccination status, and chronic disease were analyzed. Lesions in patients with baseline CT positivity were evaluated by semi-quantitative scoring to analyze the correlations between the semi-quantitative scores and vaccination status and age distribution. RESULTS: A total of 221 nucleic acid-positive patients with the SARS-CoV-2 Delta variant were included, of whom 107 patients were baseline CT positive and 114 were baseline CT negative. Baseline CT positivity was associated with age distribution, and baseline CT positivity was most common in patients aged >60 years (P < 0.001), but not with vaccination status or gender. The results of the subgroup analysis according to age distribution indicated that different age distribution subgroups had different vaccination statuses, and the majority of patients aged <18 years and >60 years were unvaccinated (90.5%, 19/21, and 57.3%, 63/110, respectively). In contrast, most patients aged 18–60 years had received two doses of the vaccine (61.1%, 55/90) (P < 0.001). Different age distribution subgroups had different clinical infection types. Asymptomatic and mild cases were most common in patients aged ≤60 years, and moderate and severe or critical cases were most common in patients aged >60 years. For baseline CT-positive patients, the extent of lung involvement was associated with age, vaccination status, and chronic disease. The number of involved lobes was higher in patients who were unvaccinated or who had received one injection, who were aged >60 years or had chronic disease. There was a statistical difference in CT semi-quantitative scores between the different age subgroups. Compared with patients aged < 60 years, patients aged >60 years had higher semi-quantitative scores (P < 0.001). However, there was no statistical difference between the different vaccination groups. CONCLUSIONS: Age had a large effect on baseline CT positivity, CT characteristics, and semi-quantitative CT scores in patients infected with the Delta variant.
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Objectives: This study aimed to identify the clinical features of cardiac injury complicating with acute kidney injury (AKI) and its risk for a fatal outcome in patients infected with coronavirus disease 2019 (COVID-19) pneumonia. Methods: Initial signs and symptoms and clinical laboratory, radiological, and treatment information were obtained from seven hospitals in China from January 23, 2020, to March 15, 2020. Results: Of 438 patients, 36 (8.22%) displayed isolated cardiac injury, 17 (3.88%) had isolated AKI, and 17 (3.88%) displayed cardiac injury complicating with AKI. Compared with patients without cardiac injury or AKI, patients with isolated cardiac injury, isolated AKI, and cardiac injury complicating with AKI were older (55, 65, 74 vs. 48 years, P < 0.0001) and critically severe. More patients displayed fatigue, dyspnea, and comorbidities in the group with cardiac injury complicating with AKI. Moreover, the indexes reflecting myocardial, renal, liver, and coagulation dysfunctions and infection-related factors were significantly different among the four groups. After adjustment for covariates, patients with cardiac injury complicating with AKI had a higher hazard ratio for mortality (6.64;95% confidence interval, 1.51–29.30). Conclusion: Cardiac injury complicating with kidney injury significantly increased the risk for in-hospital mortality in COVID-19 pneumonia patients. Therefore, early detection at admission and careful monitoring of myocardial and renal injury through biomarkers during hospitalization is recommended to reduce the harm to patients.
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Objective: To investigate the current status of the radiodiagnosis and radiotherapy resources and medical exposure frequencies in Huai'an City. Method(s): According to the monitoring data in the " Radiological Health Information Management Platform of Jiangsu Province" in 2020, a descriptive analysis was conducted on the personnel, equipment, and exposure frequencies in the institutes engaged in radiation-based diagnosis and treatment in Huai'an. Result(s): A total of 181 hospitals were investigated in 2020, including 7 tertiary hospitals(3.9%), 24 secondary hospitals(13.3%), 126 primary hospitals(69.6%), and 24 ungraded hospitals(13.3%). There were 1 397 radiation workers, including 948 males and 449 females, and 459 pieces of radiation equipment, including 420 for radio diagnosis, 13 for radiotherapy, 4 for nuclear medicine, and 22 for interventional radiology. The hospitals of different grades greatly differed in the number of radiation workers and equipment. There were 80.1, 20.9, 2.2, and 2.0 radiation workers and 15.7, 5.5, 1.4, and 1.6 pieces of radiation equipment in the tertiary hospitals, secondary hospitals, primary hospitals, and ungraded hospitals, respectively on average. There were 2 903 246, 27 648, 8 087, and 17 874 receiving radiodiagnosis, radiotherapy, nuclear medicine, and interventional radiology, respectively in 2020. The medical exposure frequencies in the whole city were calculated to be 599.50 per 1 000 population, including 334.59 treated with conventional X-rays, 239.82 receiving CT scan, 14.18 for breast and dentistry, 3.62 receiving interventional radiology, 5.61 treated with radiotherapy, and 1.69 receiving nuclear medicine. Conclusion(s): The radiodiagnosis and radiotherapy resources are unbalanced in the hospitals of different grades in Huai'an City. Therefore, it is necessary to pay more attention to the reasonable allocation of medical resources. Meanwhile, radiation workers in secondary hospitals may be more prone to job burnout. Facing the normalization of the prevention and control of COVID-19 epidemic, the supervision and management of radiological health should be strengthened to ensure the legitimacy of radiological diagnosis and radiotherapy and theoptimization of protection. The frequencies of medical exposure are consistent with the local economic level. To analyze the differences in medical exposure frequencies and predict the developmental trends in different regions, it is necessary to establish a more accurate prediction model.Copyright © 2021 by the Chinese Medical Association.
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Introduction:A patient experience survey was undertaken as part of the role of the Macmillan Consultant Therapy Radiographer for the bone and brain metastases patients to inform future development of the service.Method:A questionnaire was developed and approved by the Trust's local Questionnaire, Interview and Survey Group to survey the experiences and satisfaction of the service including the informed consent process, radiotherapy appointments and overall experience and satisfaction. The survey used qualitative and quantitative methods, including Likert Scales and free comment boxes. The responses were analysed by counting the frequency of each response and identifying any themes in free text responses.Results:Most patients were satisfied with the consent process with 1/36 patients reporting a lack of understandable information and 4/36 wanting more side effect information. The option of plan and treat was a preference of 53% of patients due to travelling back and forth to the centre;however, only 6% stated that they wanted two separate appointments. Ninety-four percent of patients felt that they had complete confidence and trust in the professional who consented them and 86% did not feel fully involved in the decision-making process. Overall, the service was rated as 10/10 by 61% of patients (n = 36).Conclusions:The patients surveyed were satisfied with their experience of the Palliative Radiotherapy Service;however, it needs to be developed further to meet the needs and expectations of the service users.