METHODS: We performed a systematic review and meta-analysis, according to the PRISMA guidelines to determine the in-hospital incidence of acute PE, based on Italian studies published on this issue. , Embolia Pulmonar/diagnóstico por imagemīACKGROUND: Acute pulmonary embolism (PE) represents a frequent and prognostically relevant complication of COVID-19. , Angiografia por Tomografia Computadorizada/métodos Clinicians should use clinical judgment to weigh the likelihood of PE against the risk of nondiagnostic results when determining whether to expose COVID-positive patients to high-dose radiation and contrast with CTPA on initial presentation. COVID-positive patients who underwent CTPA in the ED did not have a higher incidence of PE than other patients. CONCLUSIONS: While CTPA ordering increased significantly during the pandemic, our positivity rate remained stable, suggesting that this increase was appropriate.
COVID-positive patients were more likely to have nondiagnostic imaging (7.7% vs. On regression analysis, COVID-19 was not a significant predictor of PE at ED presentation (odds ratio 1.029, 95% confidence interval: 0.959-1.103). In 2020, 10 of 91 COVID-positive patients undergoing CTPA had positive studies. RESULTS: CTPA ordering increased from 432 studies in 2019 to 699 in 2020 (+61.8%, P<0.0001), but detection rates for PE remained stable (11.3% vs. We used logistic regression to identify predictive factors for PE. We used a Wilcoxon rank sum to analyze quantitative variables and χ2 or Fisher test for categorical variables. We collected data on patient demographics, symptoms, COVID-19 status, lab and imaging results, and risk factors for PE. MATERIALS AND METHODS: We conducted a retrospective review of CTPA performed in our ED between June and December in 20. PURPOSE: To determine if computed tomography pulmonary angiography (CTPA) ordering increased significantly during the COVID-19 pandemic in an emergency department (ED) setting if positive findings for pulmonary embolism (PE) increased to the same degree and whether COVID-positive patients have a higher incidence of PE than COVID-negative patients at ED presentation.
, Tomografia Computadorizada por Raios X/métodos , Doença da Artéria Coronariana/diagnóstico por imagem , Angiografia por Tomografia Computadorizada Threshold adjustment is necessary when measuring EF with non-contrast RCCT. CONCLUSION: Applying more negative threshold, the consistency of EV measurements between the two techniques improves and a consistent result can be obtained when comparing EF measurements between groups, although the bias of mEA increases. The mEA measured on RCCT using threshold of N40 and N45 showed no significant statistical difference between the two groups (P = 0.092 and 0.075), which was consistent with the result obtained on CCTA (P = 0.204). A significant difference in mEA was shown only by RCCT using a threshold of N30 (plaque ( +) vs ( -): - 80.0 ± 4.4 HU vs - 78.0 ± 4.0 HU, P = 0.030). Data obtained by CCTA and RCCT both demonstrated a significantly larger EV in the plaque ( +) group than in the plaque ( -) group (P < 0.05). Threshold adjustment was able to reduce the bias of EV, while increase the bias of mEA.
The correlation and agreement of EAT metrics between the two imaging modalities and differences between patients with coronary plaques (plaque ( +)) and without plaques (plaque ( -)) were analyzed. EV and mEA were quantified by CCTA using a threshold of (N30) (- 190 HU, - 30 HU) as a reference and measured by RCCT using thresholds of N30, N40 (- 190 HU, - 40 HU), and N45 (- 190 HU, - 45 HU). METHODS: In total, 83 subjects who simultaneously underwent CCTA and RCCT were enrolled. The present study aimed to determine whether the EAT volume (EV) and mean EAT attenuation (mEA) measured by non-contrast routine chest CT (RCCT) could be more consistent with those measured by coronary CT angiography (CCTA) by adjusting the threshold of fatty attenuation. BACKGROUND: Epicardial adipose tissue (EAT) is known as an important imaging indicator for cardiovascular risk stratification.
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