Author
Elio Bignardi
Bio: Elio Bignardi is an academic researcher. The author has contributed to research in topics: Pneumonia & Medicine. The author has an hindex of 6, co-authored 16 publications receiving 83 citations.
Topics: Pneumonia, Medicine, Radiology, ARDS, Presentation (obstetrics)
Papers
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TL;DR: It is reported for the first time clinical data and radiological chest CT imaging of two patients affected by COVID-pneumonia associated with early radiological findings of SPM and LPNX.
31 citations
TL;DR: It is suggested that in the COVID-19 pandemic period, a chest CT scan can be useful in those presenting with a fever or a history of fever associated with persistent mild respiratory symptoms or with abdominal complaints despite repeated negative RT-PCR results.
24 citations
TL;DR: An unusual clinical presentation of acute B cell lymphoblastic leukemia with intestinal and ovarian localizations in a 5-year-old girl is reported.
18 citations
04 Mar 2021
TL;DR: A pictorial review of the role of imaging with chest X-ray (CXR), lung ultrasound (LUS), and CT in the diagnosis and management of COVID-19 pneumonia is presented in this paper.
Abstract: Imaging plays an important role in the detection of coronavirus (COVID-19) pneumonia in both managing the disease and evaluating the complications. Imaging with chest computed tomography (CT) can also have a potential predictive and prognostic role in COVID-19 patient outcomes. The aim of this pictorial review is to describe the role of imaging with chest X-ray (CXR), lung ultrasound (LUS), and CT in the diagnosis and management of COVID-19 pneumonia, the current indications, the scores proposed for each modality, the advantages/limitations of each modality and their role in detecting complications, and the histopathological correlations.
13 citations
Journal Article•
TL;DR: The case of a 12-year-old male patient who came to observation with left renal mass and with a clinical-laboratory picture indicative of inflammatory pathology is described, indicating clear cell sarcoma of the kidney of childhood.
Abstract: Clear cell sarcoma of the kidney is an uncommon renal neopla sm of childhood. It represents about 4% of childhood malignant neoplasms and is generally more common in children under 5 years of age. In the present article, we describe the case of a 12-year-old male patient who came to our observation with left renal mass and with a clinical-laboratory picture indicative of inflammatory pathology.
12 citations
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TL;DR: In this article, a review of the available diagnostic methods and biosensors for COVID-19 detection is presented, where the authors discuss about the availability of diagnostic tools and devices for on-site detection.
88 citations
TL;DR: In this paper, a case of COVID-19 pneumonia complicated on day 13 post admission by spontaneous pneumomediastinum, pneumothorax and subcutaneous emphysema in a patient with no identifiable risk factors for such complication.
Abstract: Spontaneous pneumomediastinum (SPM) and pneumothorax (PNX) unrelated to positive pressure ventilation has been recently reported as an unusual complication in cases of severe COVID-19 pneumonia. The presumed pathophysiological mechanism is diffuse alveolar injury leading to alveolar rupture and air leak. We present a case of COVID-19 pneumonia complicated on day 13 post admission by SPM, PNX and subcutaneous emphysema in a patient with no identifiable risk factors for such complication. The patient received medical treatment for his COVID-19 infection without the use of an invasive or non-invasive ventilator. Moreover, he is a non-smoker with no lung comorbidities and never reported a cough. He was eventually discharged home in stable condition. A comprehensive literature review revealed 15 cases of SPM developing in patients with COVID-19 pneumonia.
62 citations
TL;DR: In this article, the authors report an overview and update on Artificial Intelligence (AI) and COVID-19 using chest Computed Tomography (CT) scan and chest X-ray images (CXR).
Abstract: Objective: To report an overview and update on Artificial Intelligence (AI) and COVID-19 using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine Learning and Deep Learning Approaches for Diagnosis and Treatment were identified. Methods: Several electronic datasets were analyzed. The search covered the years from January 2019 to June 2021. The inclusion criteria were studied evaluating the use of AI methods in COVID-19 disease reporting performance results in terms of accuracy or precision or area under Receiver Operating Characteristic (ROC) curve (AUC). Results: Twenty-two studies met the inclusion criteria: 13 papers were based on AI in CXR and 10 based on AI in CT. The summarized mean value of the accuracy and precision of CXR in COVID-19 disease were 93.7% ± 10.0% of standard deviation (range 68.4–99.9%) and 95.7% ± 7.1% of standard deviation (range 83.0–100.0%), respectively. The summarized mean value of the accuracy and specificity of CT in COVID-19 disease were 89.1% ± 7.3% of standard deviation (range 78.0–99.9%) and 94.5 ± 6.4% of standard deviation (range 86.0–100.0%), respectively. No statistically significant difference in summarized accuracy mean value between CXR and CT was observed using the Chi square test (p value > 0.05). Conclusions: Summarized accuracy of the selected papers is high but there was an important variability; however, less in CT studies compared to CXR studies. Nonetheless, AI approaches could be used in the identification of disease clusters, monitoring of cases, prediction of the future outbreaks, mortality risk, COVID-19 diagnosis, and disease management.
43 citations