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2.
J Med Imaging Radiat Oncol ; 64(5): 649-659, 2020 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-33000560

RESUMO

To describe the chest CT features reported in children with confirmed COVID-19 infection, published in English literature. A systematic review was completed on PubMed, Embase and Scopus databases on the 1st of June 2020 using the PICO strategy. The NIH Quality Assessment Tool was used to assess the quality of the selected articles. The systematic review was evaluated by Case Series Studies and the Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies (PRISMA). The extracted data were assessed and compared with those reported in the adult population. Seventy-two articles were retrieved from the database search and screened by the title, abstract and keywords. Eleven articles were deemed eligible for full-text assessment. Nine articles were included for the data extraction and in the final analysis. Chest CT features in children with COVID-19 differ from those in adults. 'Ground-grass opacities' (GGOs) are the most commonly described abnormalities, but closely followed by a combination of GGO and consolidation, not usual in adults. Children tend to have a more variable involvement than the subpleural and posterior and basal topography described in adults. Interlobular thickening and air bronchogram found in adults with COVID-19 are not frequent in children. Pulmonary embolism reported in up to 30% of adults has not been yet reported in children. Original articles describing chest CT features in children with COVID-19 in the English literature are limited to small populations of Chinese children. Chest CT imaging features are very diverse across the selected studies and globally different from those reported in adults. Data from children of different countries would provide a more comprehensive description of chest CT features in children with COVID-19.


Assuntos
Infecções por Coronavirus/diagnóstico por imagem , Pneumopatias/diagnóstico por imagem , Pneumopatias/virologia , Pneumonia Viral/diagnóstico por imagem , Radiografia Torácica/métodos , Tomografia Computadorizada por Raios X/métodos , Betacoronavirus , Criança , Técnicas de Laboratório Clínico , Infecções por Coronavirus/diagnóstico , Humanos , Pandemias , Pneumonia Viral/diagnóstico , Reação em Cadeia da Polimerase Via Transcriptase Reversa
3.
J Med Imaging Radiat Oncol ; 64(5): 668-670, 2020 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-33001577

RESUMO

This case report describes our early radiological experiences of middle-aged patients with COVID-19 at Westmead Hospital, Sydney. We found limited relationship between initial CT imaging appearances and progression to severe disease. The most effective use of imaging in COVID-19 is yet to be determined.


Assuntos
Infecções por Coronavirus/diagnóstico por imagem , Pneumopatias/diagnóstico por imagem , Pneumopatias/virologia , Pneumonia Viral/diagnóstico por imagem , Radiografia Torácica , Tomografia Computadorizada por Raios X , Adulto , Austrália/epidemiologia , Betacoronavirus , Infecções por Coronavirus/epidemiologia , Progressão da Doença , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/epidemiologia
4.
J Cardiothorac Surg ; 15(1): 301, 2020 Oct 07.
Artigo em Inglês | MEDLINE | ID: mdl-33028398

RESUMO

BACKGROUND: Spontaneous pneumomediastinum unrelated to mechanical ventilation is a newly described complication of COVID-19 pneumonia. The objective of this case presentation is to highlight an important complication and to explore potential predisposing risk factors and possible underlying pathophysiology of this phenomenon. CASE PRESENTATION: We present two patients with COVID-19 pneumonia complicated by spontaneous pneumomediastinum, pneumopericardium, pneumothorax and subcutaneous emphysema without positive pressure ventilation. Both patients had multiple comorbidities, received a combination of antibiotics, steroids and supportive oxygen therapy, and underwent routine laboratory workup. Both patients then developed spontaneous pneumomediastinum and ultimately required intubation and mechanical ventilation, which proved to be challenging to manage. CONCLUSIONS: Spontaneous pneumomediastinum is a serious complication of COVID-19 pneumonia, of which clinicians should be aware. Further studies are needed to determine risk factors and laboratory data predictive of development of spontaneous pneumomediastinum in COVID-19 pneumonia.


Assuntos
Betacoronavirus , Infecções por Coronavirus/complicações , Enfisema Mediastínico/etiologia , Pneumonia Viral/complicações , Pneumopericárdio/etiologia , Pneumotórax/etiologia , Enfisema Subcutâneo/etiologia , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/terapia , Feminino , Humanos , Ventilação com Pressão Positiva Intermitente/métodos , Masculino , Enfisema Mediastínico/diagnóstico , Enfisema Mediastínico/terapia , Pessoa de Meia-Idade , Oxigenoterapia/métodos , Pandemias , Pneumonia Viral/epidemiologia , Pneumonia Viral/terapia , Pneumopericárdio/diagnóstico , Pneumotórax/diagnóstico , Pneumotórax/terapia , Radiografia Torácica , Enfisema Subcutâneo/diagnóstico , Tomografia Computadorizada por Raios X
5.
Acta Med Indones ; 52(3): 297-298, 2020 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-33020341

RESUMO

Coronavirus Disease 2019 (COVID-19) symptoms are highly various in each patient. CXR are routinely used to monitor the disease progression. However, it is not known whether chest X-Ray (CXR) is a good modality to assess COVID-19 pneumonia.Male, 55 years-old, with pneumonia caused by COVID-19. Discordance was found between patient's clinical status and CXR lesion. On the 7th day of symptoms, patient was clinically well despite severe lesion shown on CXR. On the following day, patient clinically deteriorated despite the improvement on CXR lesion.Improvement of CXR does not always correlate well with patient's clinical status. Clinician have to be careful when using CXR to monitor patient with COVID-19 pneumonia.


Assuntos
Betacoronavirus , Infecções por Coronavirus/diagnóstico , Transmissão de Doença Infecciosa , Pneumonia Viral/diagnóstico , Radiografia Torácica/métodos , Doenças Assintomáticas , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/transmissão , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/epidemiologia , Pneumonia Viral/transmissão
6.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 1552-1555, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018288

RESUMO

The introduction of deep learning techniques for the computer-aided detection scheme has shed a light for real incorporation into the clinical workflow. In this work, we focus on the effect of attention in deep neural networks on the classification of tuberculosis x-ray images. We propose a Convolutional Block Attention Module (CBAM), a simple but effective attention module for feed-forward convolutional neural networks. Given an intermediate feature map, our module infers attention maps and multiplied it to the input feature map for adaptive feature refinement. It achieves high precision and recalls while localizing objects with its attention. We validate the performance of our approach on a standard-compliant data set, including a dataset of 4990 x-ray chest radiographs from three hospitals and show that our performance is better than the models used in previous work.


Assuntos
Redes Neurais de Computação , Radiografia Torácica , Tuberculose , Humanos , Tuberculose/diagnóstico por imagem
7.
J Cardiothorac Surg ; 15(1): 310, 2020 Oct 12.
Artigo em Inglês | MEDLINE | ID: mdl-33046088

RESUMO

BACKGROUND: Spontaneous pneumothorax has been reported as a possibile complication of novel coronavirus associated pneumonia (COVID-19). We report two cases of COVID-19 patients who developed spontaeous and recurrent pneumothorax as a presenting symptom, treated with surgical procedure. An insight on pathological finding is given. CASE PRESENTATION: Two patients presented to our hospital with spontaneous pneumothorax associated with Sars-Cov2 infection onset. After initial conservative treatment with chest drain, both patients had a recurrence of pneumothorax during COVI-19 disease, contralateral (patient 1) or ipsilateral (patient 2) and therefore underwent lung surgery with thoracoscopy and bullectomy. Intraoperative findings of COVID-19 pneumonia were parenchymal atelectasis and vascular congestion. Lung tissue was very frail and prone to bleeding. Histological examination showed interstitial infiltration of lymphocytes and plasma cells, as seen in non specific interstitial pneumonia, together with myo-intimal thicknening of vessels with blood extravasation and microthrombi. CONCLUSIONS: Although rarely, COVID-19 may present with spontaneous pneumothorax. Lung surgery for pneumothorax in COVID-19 patients can be safely and effectively performed when necessary.


Assuntos
Betacoronavirus , Tubos Torácicos , Infecções por Coronavirus/complicações , Pneumonia Viral/complicações , Pneumotórax/etiologia , Toracoscopia/métodos , Infecções por Coronavirus/diagnóstico , Infecções por Coronavirus/epidemiologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/diagnóstico , Pneumonia Viral/epidemiologia , Pneumotórax/diagnóstico , Pneumotórax/cirurgia , Radiografia Torácica , Recidiva , Tomografia Computadorizada por Raios X
8.
Comput Math Methods Med ; 2020: 9756518, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33014121

RESUMO

The COVID-19 diagnostic approach is mainly divided into two broad categories, a laboratory-based and chest radiography approach. The last few months have witnessed a rapid increase in the number of studies use artificial intelligence (AI) techniques to diagnose COVID-19 with chest computed tomography (CT). In this study, we review the diagnosis of COVID-19 by using chest CT toward AI. We searched ArXiv, MedRxiv, and Google Scholar using the terms "deep learning", "neural networks", "COVID-19", and "chest CT". At the time of writing (August 24, 2020), there have been nearly 100 studies and 30 studies among them were selected for this review. We categorized the studies based on the classification tasks: COVID-19/normal, COVID-19/non-COVID-19, COVID-19/non-COVID-19 pneumonia, and severity. The sensitivity, specificity, precision, accuracy, area under the curve, and F1 score results were reported as high as 100%, 100%, 99.62, 99.87%, 100%, and 99.5%, respectively. However, the presented results should be carefully compared due to the different degrees of difficulty of different classification tasks.


Assuntos
Betacoronavirus , Técnicas de Laboratório Clínico , Infecções por Coronavirus/diagnóstico por imagem , Pandemias , Pneumonia Viral/diagnóstico por imagem , Interpretação de Imagem Radiográfica Assistida por Computador/métodos , Tomografia Computadorizada por Raios X/estatística & dados numéricos , Inteligência Artificial , Infecções por Coronavirus/diagnóstico , Infecções por Coronavirus/epidemiologia , Aprendizado Profundo , Humanos , Redes Neurais de Computação , Pneumonia/classificação , Pneumonia/diagnóstico por imagem , Pneumonia Viral/epidemiologia , Interpretação de Imagem Radiográfica Assistida por Computador/estatística & dados numéricos , Radiografia Torácica/estatística & dados numéricos , Sensibilidade e Especificidade
9.
Acute Med ; 19(3): 162-167, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33020762

RESUMO

COVID-19 pneumonia produces a heterogeneous array of clinical, biochemical, and radiological findings. Over the last few months of global hurry to optimize a testing strategy, it has been suggested that bedside point-of-care lung ultrasound may have a diagnostic role. We present 3 patients with RT-PCR nasopharyngeal swab-confirmed COVID-19 pneumonia, who had an admission plain chest film reported to be normal by a consultant radiologist, but with significant sonographic abnormalities on bedside ultrasound performed within 24 hours of the chest radiograph. Lung ultrasound may better correlate with the oxygen requirement and overall condition of the patient than chest radiographs - a pertinent consideration given the imminent advance of the pandemic into resource-poor zones where timely access to roentgenological imaging may be sparse.


Assuntos
Infecções por Coronavirus/diagnóstico por imagem , Pneumonia Viral/diagnóstico por imagem , Sistemas Automatizados de Assistência Junto ao Leito , Ultrassonografia , Betacoronavirus , Humanos , Pandemias , Radiografia Torácica
13.
PLoS One ; 15(9): e0239519, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32970733

RESUMO

The new coronavirus disease 2019 (COVID-19) pandemic has challenged many healthcare systems around the world. While most of the current understanding of the clinical features of COVID-19 is derived from Chinese studies, there is a relative paucity of reports from the remaining global health community. In this study, we analyze the clinical and radiologic factors that correlate with mortality odds in COVID-19 positive patients from a tertiary care center in Tehran, Iran. A retrospective cohort study of 90 patients with reverse transcriptase-polymerase chain reaction (RT-PCR) positive COVID-19 infection was conducted, analyzing demographics, co-morbidities, presenting symptoms, vital signs, laboratory values, chest radiograph findings, and chest CT features based on mortality. Chest radiograph was assessed using the Radiographic Assessment of Lung Edema (RALE) scoring system. Chest CTs were assessed according to the opacification pattern, distribution, and standardized severity score. Initial and follow-up Chest CTs were compared if available. Multiple logistic regression was used to generate a prediction model for mortality. The 90 patients included 59 men and 31 women (59.4 ± 16.6 years), including 21 deceased and 69 surviving patients. Among clinical features, advanced age (p = 0.02), low oxygenation saturation (p<0.001), leukocytosis (p = 0.02), low lymphocyte fraction (p = 0.03), and low platelet count (p = 0.048) were associated with increased mortality. High RALE score on initial chest radiograph (p = 0.002), presence of pleural effusions on initial CT chest (p = 0.005), development of pleural effusions on follow-up CT chest (p = 0.04), and worsening lung severity score on follow-up CT Chest (p = 0.03) were associated with mortality. A two-factor logistic model using patient age and oxygen saturation was created, which demonstrates 89% accuracy and area under the ROC curve of 0.86 (p<0.0001). Specific demographic, clinical, and imaging features are associated with increased mortality in COVID-19 infections. Attention to these features can help optimize patient management.


Assuntos
Infecções por Coronavirus/diagnóstico por imagem , Infecções por Coronavirus/mortalidade , Pneumonia Viral/diagnóstico por imagem , Pneumonia Viral/mortalidade , Adulto , Idoso , Betacoronavirus , Comorbidade , Feminino , Humanos , Processamento de Imagem Assistida por Computador , Irã (Geográfico) , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Pandemias , Radiografia Torácica , Estudos Retrospectivos , Fatores de Risco , Índice de Gravidade de Doença , Centros de Atenção Terciária , Tomografia Computadorizada por Raios X
14.
Emerg Med Clin North Am ; 38(4): 771-782, 2020 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-32981616

RESUMO

Patients resuscitated from cardiac arrest require complex management. An organized approach to early postarrest care can improve patient outcomes. Priorities include completing a focused diagnostic work-up to identify and reverse the inciting cause of arrest, stabilizing cardiorespiratory instability to prevent rearrest, minimizing secondary brain injury, evaluating the risk and benefits of transfer to a specialty care center, and avoiding early neurologic prognostication.


Assuntos
Parada Cardíaca/terapia , Prevenção Secundária , Temperatura Corporal , Encéfalo/diagnóstico por imagem , Circulação Cerebrovascular , Eletrocardiografia , Eletroencefalografia , Serviço Hospitalar de Emergência , Oxigenação por Membrana Extracorpórea , Parada Cardíaca/etiologia , Humanos , Hipóxia-Isquemia Encefálica/prevenção & controle , Anamnese , Transferência de Pacientes , Intervenção Coronária Percutânea , Exame Físico , Prognóstico , Radiografia Torácica , Respiração Artificial , Convulsões/diagnóstico , Convulsões/etiologia , Tomografia Computadorizada por Raios X
16.
Medicine (Baltimore) ; 99(39): e22495, 2020 Sep 25.
Artigo em Inglês | MEDLINE | ID: mdl-32991489

RESUMO

RATIONALE: Cavernous hemangioma is a benign vascular tumor, which very rarely occurs in the lung. When appearing as multiple nodules on chest CT, this tumor can be misdiagnosed as metastatic malignancy. PATIENT CONCERNS: A 72-year-old woman presented with incidentally found multiple lung nodules on chest radiograph. DIAGNOSES: Based on information derived from dual-layer spectral CT images, the possibility of slow flow vascular tumor such as cavernous hemangioma was suggested. A pathologic diagnosis of pulmonary cavernous hemangioma was made via video-assisted thoracoscopic biopsy. INTERVENTIONS: After tissue confirmation, the patient was discharged without further intervention. OUTCOMES: The patient recovered without any event. Follow-up chest CT performed 6 months later showed no significant interval change in nodule size and distribution. LESSONS: Material decomposition images obtained from dual energy CT can help physicians understand the character of tumor vascularity for an accurate diagnosis of pulmonary cavernous hemangioma.


Assuntos
Hemangioma Cavernoso/diagnóstico por imagem , Neoplasias Pulmonares/diagnóstico por imagem , Idoso , Feminino , Humanos , Achados Incidentais , Radiografia Torácica , Tomografia Computadorizada por Raios X
17.
Epidemiol Infect ; 148: e195, 2020 09 02.
Artigo em Inglês | MEDLINE | ID: mdl-32873360

RESUMO

We recruited 1591 patients who presented to our fever clinics from 23 January 2020 to 16 February 2020. The different imaging findings between COVID-19 pneumonia and influenza A viruses, influenza B virus pneumonia were also investigated. Most patients were infected by influenza A and B viruses in the flu-season. A laboratory kit is urgently needed to test different viruses simultaneously. Computed tomography can help early screen suspected patients with COVID-19 and differentiate different virus-related pneumonia.


Assuntos
Betacoronavirus , Infecções por Coronavirus/diagnóstico , Pneumonia Viral/diagnóstico , Infecções por Coronavirus/patologia , Diagnóstico Diferencial , Humanos , Pandemias , Pneumonia Viral/patologia , Radiografia Torácica , Estudos Retrospectivos
18.
Medicine (Baltimore) ; 99(37): e22160, 2020 Sep 11.
Artigo em Inglês | MEDLINE | ID: mdl-32925778

RESUMO

INTRODUCTION: Community-acquired pneumonia (CAP) is the main acute complication of type 2 diabetes mellitus (T2DM) and the main cause of hospitalization for infectious diseases. Unfortunately, in the treatment of type 2 diabetes mellitus complicated with community-acquired pneumonia (T2DM-CAP), modern medicine is still faced with enormous challenges because of insulin resistance and drug-resistant bacteria. In recent decades, clinical and experimental evidence shows that Chinese herbal medicine (CHM) has a certain beneficial effect on diabetes and pneumonia. Therefore, this trial aims to assess the efficacy and safety of CHM plus western medicines for the treatment of T2DM-CAP. METHODS: We propose a double-blind, placebo-controlled, randomized superiority trial.A total of 92 participants with T2DM-CAP will be randomly allocated at a 1:1 ratio to either the experimental group, which will receive modified Ban-Xia-Xie-Xin-Decotion and basic treatment, or the control group, which will receive basic treatment only. The study duration will be 14 days. The primary outcome will be the total clinical effective rate. The secondary outcomes are traditional Chinese medicine symptom score scale, pneumonia severity index, usage time of antibiotic, time required for blood sugar to reach the required level, frequency of hypoglycemia, and chest CT. Liquid chromatograph-mass spectrometry method will be used to explore the blood metabolism profiles of the subjects, to explore the pathogenesis of T2DM-CAP and the mechanism of CHM on T2DM-CAP. Adverse events will also be evaluated. DISCUSSION: This trial will provide evidence of the effectiveness and safety of traditional CHM in treating patients with T2DM-CAP. TRIAL REGISTRATION NUMBER: ChiCTR2000035204.


Assuntos
Diabetes Mellitus Tipo 2/tratamento farmacológico , Diabetes Mellitus Tipo 2/epidemiologia , Medicamentos de Ervas Chinesas/uso terapêutico , Pneumonia/tratamento farmacológico , Pneumonia/epidemiologia , Adolescente , Adulto , Idoso , Infecções Comunitárias Adquiridas , Diabetes Mellitus Tipo 2/sangue , Método Duplo-Cego , Feminino , Humanos , Hipoglicemia/epidemiologia , Masculino , Metabolômica , Pessoa de Meia-Idade , Pneumonia/sangue , Radiografia Torácica , Índice de Gravidade de Doença , Fatores de Tempo , Tomografia Computadorizada por Raios X , Adulto Jovem
19.
BMC Pulm Med ; 20(1): 245, 2020 Sep 15.
Artigo em Inglês | MEDLINE | ID: mdl-32933519

RESUMO

BACKGROUND: Chest CT scan and chest x-rays show characteristic radiographic findings in patients with COVID-19 pneumonia. Chest x-ray can be used in diagnosis and follow up in patients with COVID-19 pneumonia. The study aims at describing the chest x-ray findings and temporal radiographic changes in COVID-19 patients. METHODS: From March 15 to April 20, 2020 patients with positive reverse transcription polymerase chain reaction (RT-PCR) for COVID-19 were retrospectively studied. Patients' demographics, clinical characteristics, and chest x-ray findings were reported. Radiographic findings were correlated with the course of the illness and patients' symptoms. RESULTS: A total of 88 patients (50 (56.8%) females and 38 (43.2%) males) were admitted to the hospital with confirmed COVID-19. Their age ranged from 3 to 80 years (35.2 ± 18.2 years). 48/88 (45%) were symptomatic, only 13/88 (45.5%) showed abnormal chest x-ray findings. A total of 190 chest x-rays were obtained for the 88 patients with a total of 59/190 (31%) abnormal chest x-rays. The most common finding on chest x-rays was peripheral ground glass opacities (GGO) affecting the lower lobes. In the course of illness, the GGO progressed into consolidations peaking around 6-11 days (GGO 70%, consolidations 30%). The consolidations regressed into GGO towards the later phase of the illness at 12-17 days (GGO 80%, consolidations 10%). There was increase in the frequency of normal chest x-rays from 9% at days 6-11 up to 33% after 18 days indicating a healing phase. The majority (12/13, 92.3%) of patients with abnormal chest x-rays were symptomatic (P = 0.005). CONCLUSION: Almost half of patients with COVID-19 have abnormal chest x-ray findings with peripheral GGO affecting the lower lobes being the most common finding. Chest x-ray can be used in diagnosis and follow up in patients with COVID-19 pneumonia.


Assuntos
Infecções por Coronavirus/diagnóstico por imagem , Pulmão/diagnóstico por imagem , Pneumonia Viral/diagnóstico por imagem , Radiografia Torácica , Tomografia Computadorizada por Raios X , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Criança , Pré-Escolar , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Estudos Retrospectivos , Fatores de Tempo , Adulto Jovem
20.
J Comput Assist Tomogr ; 44(5): 673-680, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32936576

RESUMO

OBJECTIVES: This study aimed to evaluate the image quality of 7 iterative reconstruction (IR) algorithms in comparison to filtered back-projection (FBP) algorithm. METHODS: An anthropomorphic chest phantom was scanned on 4 computed tomography scanners and reconstructed with FBP and IR algorithms. Image quality of anatomical details-large/medium-sized pulmonary vessels, small pulmonary vessels, thoracic wall, and small and large lesions-was scored. Furthermore, general impression of noise, image contrast, and artifacts were evaluated. Visual grading regression was used to analyze the data. Standard deviations were measured, and the noise power spectrum was calculated. RESULTS: Iterative reconstruction algorithms showed significantly better results when compared with FBP for these criteria (regression coefficients/P values in parentheses): vessels (FIRST: -1.8/0.05, AIDR Enhanced: <-2.3/0.01, Veo: <-0.1/0.03, ADMIRE: <-2.1/0.04), lesions (FIRST: <-2.6/0.01, AIDR Enhanced: <-1.9/0.03, IMR1: <-2.7/0.01, Veo: <-2.4/0.02, ADMIRE: -2.3/0.02), image noise (FIRST: <-3.2/0.004, AIDR Enhanced: <-3.5/0.002, IMR1: <-6.1/0.001, iDose: <-2.3/0.02, Veo: <-3.4/0.002, ADMIRE: <-3.5/0.02), image contrast (FIRST: -2.3/0.01, AIDR Enhanced: -2.5/0.01, IMR1: -3.7/0.001, iDose: -2.1/0.02), and artifacts (FIRST: <-3.8/0.004, AIDR Enhanced: <-2.7/0.02, IMR1: <-2.6/0.02, iDose: -2.1/0.04, Veo: -2.6/0.02). The iDose algorithm was the only IR algorithm that maintained the noise frequencies. CONCLUSIONS: Iterative reconstruction algorithms performed differently on all evaluated criteria, showing the importance of careful implementation of algorithms for diagnostic purposes.


Assuntos
Processamento de Imagem Assistida por Computador/métodos , Imagens de Fantasmas , Radiografia Torácica/métodos , Tomografia Computadorizada por Raios X/métodos , Algoritmos , Artefatos , Variações Dependentes do Observador , Reprodutibilidade dos Testes , Razão Sinal-Ruído
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