In December 2019 a novel coronavirus, named severe acute respiratory syndrome coronavirus 2 was identified and the disease associated was named coronavirus disease 2019 (COVID-19). Fever, cough, myalgia, fatigue associated to dyspnea represent most common clinical symptoms of the disease. The reference standard for diagnosis of severe acute respiratory syndrome coronavirus 2 infection is real time reverse-transcription polymerase chain reaction test applied on respiratory tract specimens. Despite of lower specificity, chest computed tomography (CT), as reported in manifold scientific studies, showed high sensitivity, therefore it may help in the early detection, management and follow-up of COVID-19 pneumonia. Patients affected by COVID-19 pneumonia usually showed on chest CT some typical features, such as: Bilateral ground glass opacities characterized by multilobe involvement with posterior and peripheral distribution; parenchymal consolidations with or without air bronchogram; interlobular septal thickening; crazy paving pattern, represented by interlobular and intralobular septal thickening surrounded by ground-glass opacities; subsegmental pulmonary vessels enlargement (> 3 mm). Halo sign, reversed halo sign, cavitation and pleural or pericardial effusion represent some of atypical findings of COVID-19 pneumonia. On the other hand lymphadenopathy’s and bronchiectasis’ frequency is unclear, indeed conflicting data emerged in literature. Radiologists play a key role in recognition of high suspicious findings of COVID-19 on chest CT, both typical and atypical ones. Thus, the aim of this review is to illustrate typical and atypical CT findings of COVID-19.
Computed tomography (CT) parameters, which are significantly associated with the diagnosis of NF, are the involvement of the fascia and its lack of enhancement; LRINEC score could be high (>5) also in other musculoskeletal infections. Final diagnosis of necrosis among the fascia is surgical. Presence of gas is not a specific sign of necrotizing fasciitis being present in other musculoskeletal infections. CT could easily discriminate NF from other musculoskeletal infections, adds an important value to clinical and laboratory tests in diagnosis of NF in an emergency context when magnetic resonance imaging, which is superior to CT in this discernment, could not be performed.
The use of portable ultrasound (US) devices is increasing, due to its accessibility, versatility, non-invasiveness, and its significant support in the patient management, extending the traditional physical examination through the POCUS (point-of-care ultrasound). The pocket-size or handheld ultrasound devices (HUDs) can easily perform focused exams, not aiming to substitute for the high-end US systems (gold standard), since the HUDs usually have more limited functions. The HUDs are promising tools for the diagnosis, prognosis, and monitoring of the COVID-19 infection and its related disorders. In conclusion, the routine use of HUDs may ameliorate the management of COVID-19 pandemic, according to the guidelines for the POCUS approach and the procedures for the protection of the patients and the professionals.
OBJECTIVE: This study aims to evaluate the bedside use of the pocket-sized ultrasound (US) device for the detection of the intracavitary effusions. METHODS: We randomly enrolled 40 patients admitted to S. Andrea Hospital of Rome. Every patient received a clinical and biochemical evaluation and a bedside US examination to detect and estimate the intracavitary (pleural, pericardial and intra-abdominal) effusions; the US measurements have been compared to the computed tomography (CT) scans (as gold standard). RESULTS: The patients presented a high prevalence of effusions: right pleural 16/40 = 40% (esteemed volume 236.3±500.7 ml, mean±standard deviation m±SD), left pleural 8/40 = 20% (127.0±377.4 ml), pericardial 12/40 = 30% (47.5±72.8 ml) and intra-abdominal effusions 5/40 = 12.5% of cases (110.9±600.6 ml). Linear regression analysis showed a significant correlation between US and CT measurements: pleural r = 0.973 p < 1×10–38, pericardial r = 0.927 p < 1×10–39, intra-abdominal space r = 0.921 p < 1×10–59. The accuracy of the bedside US at the pleural, pericardial and abdominal level was respectively 98%, 93% and 96% (Cohen’s kappa coefficient 0.966, 0.841 and 0.833). CONCLUSIONS: The present study showed a high prevalence of the intracavitary effusions and a high accuracy of the bedside US. The bedside US by a pocket-sized device is promising tool for its advantages of reproducibility and non-invasiveness of the device.
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