COVID-19: historia actual de una pandemia y sus hallazgos clínico-radiológicos

Velasco, Alfredo Ramírez Gutiérrez de; Vadillo-Santos, Adriana C.; Guevara, Paloma Pérez-Ladrón de; Quiroz-Castro, Oscar

doi:10.24875/arm.20000063

Cited by 2 publications

(4 citation statements)

References 17 publications

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“…Regarding the imaging findings, it was evident that the most predominant radiological finding at the time of admission, during hospitalization, and in the ICU was the ground-glass opacification pattern, a result similar to that found in other studies. [46][47][48][49][50][51] However, this investigation only found a few cases with sequential radiological examinations. In this regard, it is worth considering the timing of the X-ray or CT, since there is evidence that the patterns may vary specifically depending on the timing of the natural history of the disease.…”

Section: Radiological Findingsmentioning

confidence: 88%

“…Likewise, it was found that the locations of the lesions were mostly peripheral, which is in accordance with what has been reported in younger ages. [47][48][49][50] Conversely, Salehi et al, 48 found atypical initial imaging presentation of consolidative opacities superimposed on ground glass mainly in older populations. In this review, a basal consolidation pattern was more frequent observed in plain chest X-rays, whereas, the ground-glass pattern is more likely to be observed in CT scan.…”

Section: Radiological Findingsmentioning

confidence: 99%

“…In this regard, it is worth considering the timing of the X-ray or CT, since there is evidence that the patterns may vary specifically depending on the timing of the natural history of the disease. 47 Thus, it is suggested that, in future radiological studies, the day of the imaging examination should be considered regarding the patients' onset of symptoms. Likewise, it was found that the locations of the lesions were mostly peripheral, which is in accordance with what has been reported in younger ages.…”

Section: Radiological Findingsmentioning

confidence: 99%

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Clinical characteristics of older patients with COVID-19: a systematic review of case reports

Córdova

Vega

Luján-Carpio

et al. 2021

Dement. neuropsychol.

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ABSTRACT. In the context of the current COVID-19 pandemic, higher morbidity and mortality have been reported in older adults. This age group presents physiological changes and its own clinical conditions such as frailty, dementia, among others. Objective: To describe the characteristics of COVID-19 patients, both over and under 80 years old, by conducting a systematic review of the literature describing case reports, and to summarize and critically assess these characteristics. Methods: Systematic review. The study was registered on the Registry of Health Research Projects (PRISA) of the Peruvian National Institute of Health (code EI00000631). Five electronic databases (Scopus, PubMed, PubMed Central, LILACS, and SCIELO) were systematically searched during the period between December 31, 2019 and April 16, 2020. The search focused on case reports, case studies, and case series of older people with COVID-19 infection aged over or under 80 years. When selecting the cases, priority was given to clinical and epidemiological profile, laboratory and imaging patterns, and comprehensive geriatric evaluation. Results: 1,149 articles were identified; after applying the filters, a total of 15 publications of case reports and complete records of 27 older adults were obtained. The most frequent age group was between 60 to 69 years old. There is little literature regarding case reports of older adults aged over 80 years. The most frequent parameters were hypertension, fever, cough, respiratory distress, ground-glass opacification in chest radiography and tomography. Furthermore, decrease in PaO2/FiO2 ratio and lymphocytes, and increase in C-reactive protein and Interleukin 6 were observed. Conclusions: This systematic review found little available information of patients under 80 years old, and far less for those over 80 years old, and an absence of comprehensive geriatric assessment.

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Section: Radiological Findingsmentioning

confidence: 88%

Section: Radiological Findingsmentioning

confidence: 99%

Section: Radiological Findingsmentioning

confidence: 99%

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Clinical characteristics of older patients with COVID-19: a systematic review of case reports

Córdova

Vega

Luján-Carpio

et al. 2021

Dement. neuropsychol.

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“…La afectación bilateral radiológica se ha identificado en pacientes críticos como un factor independiente de riesgo [17]. Normalmente, las imágenes radiográficas [18] se utilizan como etapa inicial del diagnóstico para probar y evaluar la radiografía de un paciente para determinar si el paciente presenta síntomas de COVID-19 [19] o se sospecha que tiene la enfermedad contagiosa. Según numerosos estudios, existe una fuerte correlación entre el desarrollo de la enfermedad y las anomalías pulmonares en las radiografías de tórax y los rayos X [20].…”

Section: Imágenes De Tóraxunclassified

Detection of Covid-19 through the Analysis of Radiographic Images of the Chest Using Convolutional Neural Networks

Morales¹,

Rodríguez²,

Patiño-Pérez³

et al. 2022

Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD 202

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There are different ways to detect Covid-19, which have emerged so far giving an effective response in detecting the disease, the PCR test is a reliable diagnostic method, which requires a well-equipped laboratory to obtain results, which can take hours or days. Another detection technique for this disease is by analyzing the chest image; This technique is used as a diagnostic tool in emergency areas in health centers, because it can reveal characteristics related to lung involvement. For this reason, it is important to develop an automatic detection system, as an alternative diagnosis option for Covid-19. Deep Learning techniques can help detect the SARS-CoV-2 virus by analyzing chest radiographic images.Thanks to the high availability of the datasets available, and using convolutional neural networks, the analysis is carried out by classifying images. In this research, two CNN models were created whose outputs are normal or covid19, the same ones that were trained with two datasets from public research repositories. The performance of the models trained in Pytorch were compared with the models trained in Keras under similar conditions of parameters and hyperparameters, obtaining a higher performance with Pytorch however since the two types of models have learned adequately with an accuracy that is above the 90% recommended the use of both models.

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COVID-19: historia actual de una pandemia y sus hallazgos clínico-radiológicos

Cited by 2 publications

References 17 publications

Clinical characteristics of older patients with COVID-19: a systematic review of case reports

Clinical characteristics of older patients with COVID-19: a systematic review of case reports

Detection of Covid-19 through the Analysis of Radiographic Images of the Chest Using Convolutional Neural Networks

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