Beta distribution misspecification tests with application to Covid-19 mortality rates in the United States.

The beta distribution is routinely used to model variables that assume values in the standard unit interval, (0, 1). Several alternative laws have, nonetheless, been proposed in the literature, such as the Kumaraswamy and simplex distributions. A natural and empirically motivated question is: does the beta law provide an adequate representation for a given dataset? We test the null hypothesis that the beta model is correctly specified against the alternative hypothesis that it does not provide an adequate data fit. Our tests are based on the information matrix equality, which only holds when the model is correctly specified. They are thus sensitive to model misspecification. Simulation evidence shows that the tests perform well, especially when coupled with bootstrap resampling. We model state and county Covid-19 mortality rates in the United States. The misspecification tests indicate that the beta law successfully represents Covid-19 death rates when they are computed using either data from prior to the start of the vaccination campaign or data collected when such a campaign was under way. In the latter case, the beta law is only accepted when the negative impact of vaccination reach on death rates is moderate. The beta model is rejected under data heterogeneity, i.e., when mortality rates are computed using information gathered during both time periods.

Computed tomographic pulmonary changes in patients with chronic rhinosinusitis.

OBJECTIVE: To investigate whether patients with a diagnosis of chronic rhinosinusitis (CRS) show characteristic pulmonary changes on chest CT compared with a control group without sinusopathy. METHODS: This retrospective, observational study included patients with and without a diagnosis of CRS who underwent CT examination of the lungs between 2012 and 2014. Two radiologists, who were blinded for the presence of CRS, reviewed the scans for the presence of any abnormalities consensually. The χ(2) test was used for correlative analysis, with a significance level of 0.05. RESULTS: A total of 123 CT series (51.2% from male patients, mean age 41 ± 16 years) were reviewed, including those from 59 (48%) patients with a diagnosis of CRS. Patients with CRS were more likely than the control group to exhibit atelectasis, bronchiolectasis, centrilobular nodules and ground-glass opacities (all p < 0.05), with a significant predilection for middle lobe and lingular involvement observed (p < 0.001). Other abnormalities, such as bronchial wall thickening and air trapping, did not differ between groups. CONCLUSION: Atelectatic changes, ground-glass opacities, bronchiolectasis and centrilobular nodules are the most frequent abnormalities associated with CRS, with peculiar middle lobe and lingular involvement observed on chest CT examinations. ADVANCES IN KNOWLEDGE: CRS is a frequent disorder that displays typical pulmonary changes at CT. The recognition of such findings can prevent patients with this condition from undergoing unnecessary investigations that might be based on the presence of the aforementioned radiological features.

Interobserver agreement between radiologists and radiology residents and emergency physicians in the detection of PE using CTPA.

OBJECTIVE: To assess interobserver agreement between thoracic radiologists, radiology residents, and emergency physicians in diagnosing pulmonary embolism (PE). MATERIALS AND METHODS: Emergency physicians, radiology residents, and thoracic radiologists evaluated 123 computed tomography pulmonary angiography images. Interobserver agreement was analysed using kappa statistics. RESULTS: Very good agreements were observed between thoracic radiologists and radiology residents (0.81 and 0.82). Fair and moderate agreements (0.39 and 0.42) were demonstrated between emergency physicians and thoracic radiologists. CONCLUSIONS: Important differences in interobserver agreement were found, with emergency physicians tending to overdiagnose PE.

Fungal diseases mimicking primary lung cancer: radiologic-pathologic correlation.

A variety of fungal pulmonary infections can produce radiologic findings that mimic lung cancers. Distinguishing these infectious lesions from lung cancer remains challenging for radiologists and clinicians. In such cases, radiographic findings and clinical manifestations can be highly suggestive of lung cancer, and misdiagnosis can significantly delay the initiation of appropriate treatment. Likewise, the findings of imaging studies cannot replace the detection of a species as the aetiological agent. A biopsy is usually required to diagnose the infectious nature of the lesions. In this article, we review the clinical, histologic and radiologic features of the most common fungal infections that can mimic primary lung cancers, including paracoccidioidomycosis, histoplasmosis, cryptococcosis, coccidioidomycosis, aspergillosis, mucormycosis and blastomycosis.

Normal variance in emphysema index measurements in 64 multidetector-row computed tomography.

The purpose of this study was to identify the normal variance of emphysema index (EI) measured in examinations acquired with 64 multidetector-row computed tomography (64-MDCT). A longitudinal, noninterventional study was performed retrieving all patients in our institution who are currently registered in our lung nodule protocol. All patients with clinical, functional, or significant radiological changes were excluded. We assumed that EI should remain unchanged within a short period of time. We reviewed 475 MDCTs in order to select 50 clinically stable patients who had two sequential chest MDCTs performed within a time interval of less than three months, and who presented at least one lung free of abnormalities but emphysema. CT densitovolumetry was used to calculate EI with thresholds set at -950 Hounsfield units (HUs) (EI-950) and -970 HUs (EI-970); on both studies from each patient. We observed the variation of total lung volume (TLV), mean lung density (MDL), and EI for measurements at the baseline and at follow-up scans. Differences observed between baseline and follow-up measurements were: TLV µ= 149 ml; IC = µ +1.96 (133); EI-950 µ = 0.02%; p 95 = 0.89%; EI-970 µ = 0.04%; p 95 = 0.23% and MLD µ = 15 HU; IC = µ +1.96 (18). The correlations obtained were the following: TLV r = 0.96, EI-950 r = 0.79, EI-970 r = 0.85. Accepting that emphysema would remain unchanged within three months on stable patients, differences of less than 0.89% for EI-950 and of less than 0.23% for EI-970 are within the variance of the method.

Chemical-shift MRI of pulmonary hamartomas: initial experience using a modified technique to assess nodule fat.

OBJECTIVE: The aim of this study was to show the usefulness of chemical-shift MRI in the diagnosis of intranodular fat in seven patients with pulmonary hamartomas and indeterminate CT findings. CONCLUSION: In the setting of chemical-shift MRI, the average nodule signal intensity index of pulmonary hamartomas was 45.3% (SD = 25.5%). The correlation between average nodule signal intensity and CT attenuation in Hounsfield units was -0.94. Chemical-shift MRI could be an important tool for the detection of fat in pulmonary hamartomas with inconclusive CT findings.

Reversed halo sign on computed tomography: state-of-the-art review.

The reversed halo sign (RHS) is a chest computed tomography (CT) pattern defined as a focal round area of ground-glass attenuation surrounded by a crescent or ring of consolidation. The RHS was first described as being relatively specific for cryptogenic organizing pneumonia but was later observed in several other infectious and noninfectious diseases. Although the presence of the RHS on CT may help narrow the range of diseases considered in differential diagnoses, final diagnoses should be based on correlation with the clinical scenario and the presence of additional disease-specific CT findings. However, frequently a biopsy may be needed to establish the diagnosis. Organizing pneumonia is the most frequent cause of the RHS. This is a distinct clinical and pathologic entity that can be cryptogenic or secondary to other known causes. Morphologic aspects of the halo, particularly the presence of small nodules in the wall or inside the lesion, usually indicate an active granulomatous disease (tuberculosis or sarcoidosis) rather than organizing pneumonia. Immunocompromised patients presenting with the RHS on CT examination should be considered to have an infection until further analyses prove otherwise. Pulmonary zygomycosis and invasive pulmonary aspergillosis are typically seen in patients with severe immunosuppression, most commonly secondary to hematological malignancies. Other causes of the RHS include noninvasive fungal infections such as paracoccidioidomycosis, histoplasmosis, and Pneumocystis jiroveci pneumonia. Furthermore, Wegener's granulomatosis, radiofrequency ablation, and lymphomatoid granulomatosis may also lead to this finding. Based on a search of the PubMed and Scopus databases, we review the different diseases that can manifest with the RHS on CT.

Acurácia da mensuração do enfisema pulmonar na tomografia computadorizada: pontos importantes / Accuracy of measurement of pulmonary emphysema with computed tomography: relevant points

Para garantir a confiabilidade dos dados de quantificação computadorizada do enfisema pulmonar (densitovolumetria pulmonar) na tomografia computadorizada, alguns aspectos técnicos devem ser considerados. A alteração das densidades na tomografia computadorizada com as mudanças no nível de inspiração e expiração do pulmão, com a espessura de corte da tomografia computadorizada, com o algoritmo de reconstrução e com o tipo de tomógrafo dificulta as comparações tomográficas nos estudos de acompanhamento do enfisema pulmonar. No entanto, a densitovolumetria pulmonar substituiu a avaliação visual e compete com as provas de função pulmonar como método para medir o enfisema pulmonar. Esta revisão discute as variáveis técnicas que alteram a aferição do enfisema na tomografia computadorizada e sua influência nas medições de enfisema.

Some technical aspects should be taken into consideration in order to guarantee the reliability of the assessment of pulmonary emphysema with lung computed tomography densitometry. Changes in lung density associated with variations in lungs inspiratory and expiratory levels, computed tomography slice thickness, reconstruction algorithm and type of computed tomography apparatus make tomographic comparisons more difficult in follow up studies of pulmonary emphysema. Nevertheless, quantitative computed tomography has replaced the visual assessment competing with pulmonary function tests as a sensitive method to measure pulmonary emphysema. The present review discusses technical variables of lung computed tomography and their influence on measurements of pulmonary emphysema.