Evaluation of mastoid volume and dimensions in unilateral microtia patients: retrospective study using High Resolution Computed Tomography (HRCT).

OBJECTIVE: The aim of this study is to evaluate mastoid volume and dimensions in patients with unilateral microtia using High-Resolution Computed Tomography (HRCT) to enhance the precision of reconstructive surgical planning. METHODS: A retrospective analysis of HRCT mastoid scans from patients with unilateral microtia was carried out at Cipto Mangunkusumo General Hospital between May 2020 and August 2022. Parameters such as mastoid volume, height, and surface area were measured at the ear canal, Superior Semicircular Canal (SCC), and lateral SCC levels. RESULTS: The analysis revealed statistically significant decreases in median mastoid air cell volume and mastoid bone volume in the affected ears compared to contralateral ears (p =  0.0312 and p =  0.02, respectively). Additionally, decreased mastoid height and surface areas at the ear canal and superior SCC levels were identified in affected ears (p <  0.05). CONCLUSIONS: Patients with unilateral microtia have diminished mastoid bone volumetric parameters and dimensions on the affected side. These findings offer critical data for surgeons in preoperative planning, enabling the selection of appropriate reconstructive techniques and providing comprehensive patient counselling. LEVEL OF EVIDENCE: Level 4.

Quantitative parameters of HRCT target scan to predict the risk of lung adenocarcinoma based on the detection of lung ground-glass nodules.

BACKGROUND: To explore the value of high-resolution computed tomography (HRCT) in the differential diagnosis of benign and malignant ground-glass nodules (GGNs), and to provide a theoretical basis for the clinical application of HRCT. METHODS: A total of 208 patients with GGN who had been clinically confirmed by surgical pathology and clinical confirmation were collected, and HRCT target scanning technology was used to scan and collect general information of patients, and observe the distribution of GGN, GGN size, GGN cross-sectional area, diameter, transverse diameter, solid composition, relationship with bronchi, and relationship with blood vessels and other indicators. Multivariate regression analysis and risk factor prediction are performed. RESULTS: The differences were statistically significant in multivariate regression analysis, such as nodule location, maximum diameter, maximum cross-sectional area, GGN status, nodule boundary and relationship with blood vessels (P < 0.05). The results of ROC curve showed that the AUC value of nodule site and nodule boundary was greater than 0.5, and the nodule boundary AUC value was 0.676, which was more sensitive to predict whether GGN deteriorated to lung adenocarcinoma (LUAD). CONCLUSION: Nodule site and nodule boundary are effective risk predictors for LUAD in patients with GGN, and nodule boundary is the most valuable independent predictor.

Severe Acute Respiratory Syndrome by SARS-CoV-2 Infection or Other Etiologic Agents Among Brazilian Indigenous Population: An Observational Study from the First Year of Coronavirus Disease (COVID)-19 Pandemic.

BACKGROUND: Indigenous peoples are vulnerable to pandemics, including to the coronavirus disease (COVID)-19, since it causes high mortality and specially, the loss of elderly Indigenous individuals. METHODS: The epidemiological data of severe acute respiratory syndrome (SARS) by SARS-CoV-2 infection or other etiologic agents (OEA) among Brazilian Indigenous peoples during the first year of COVID-19 pandemic was obtained from a Brazilian Ministry of Health open-access database to perform an observational study. Considering only Indigenous individuals diagnosed with SARS by COVID-19, the epidemiology data were also evaluated as risk of death. The type of sample collection for virus screening, demographic profile, clinical symptoms, comorbidities, and clinical evolution were evaluated. The primary outcome was considered the death in the Brazilian Indigenous individuals and the secondary outcome, the characteristics of Brazilian Indigenous infected by SARS-CoV-2 or OEA, as the need for intensive care unit admission or the need for mechanical ventilation support. The statistical analysis was done using Logistic Regression Model. Alpha of 0.05. FINDINGS: A total of 3,122 cases of Indigenous individuals with SARS in Brazil were reported during the first year of the COVID-19 pandemic. Of these, 1,994 were diagnosed with COVID-19 and 730/1,816 (40.2%) of them died. The death rate among individuals with SARS-CoV-2 was three-fold increased when compared to the group of individuals with OEA. Several symptoms (myalgia, loss of smell, and sore throat) and comorbidities (cardiopathy, systemic arterial hypertension, and diabetes mellitus) were more prevalent in the COVID-19 group when compared to Indigenous individuals with OEA. Similar profile was observed considering the risk of death among the Indigenous individuals with COVID-19 who presented several symptoms (oxygen saturation <95%, dyspnea, and respiratory distress) and comorbidities (renal disorders, cardiopathy, and diabetes mellitus). The multivariate analysis was significant in differentiating between the COVID-19-positive and non-COVID-19 patients [X2 (7)=65.187; P-value<0.001]. Among the patients' features, the following contributed in relation to the diagnosis of COVID-19: age [≥43 years-old [y.o.]; OR=1.984 (95%CI=1.480-2.658)]; loss of smell [OR=2.373 (95%CI=1.461-3.854)]; presence of previous respiratory disorders [OR=0.487; 95%CI=0.287-0.824)]; and fever [OR=1.445 (95%CI=1.082-1.929)]. Also, the multivariate analysis was able to predict the risk of death [X2 (9)=293.694; P-value<0.001]. Among the patients' features, the following contributed in relation to the risk of death: male gender [OR=1.507 (95%CI=1.010-2.250)]; age [≥60 y.o.; OR=3.377 (95%CI=2.292-4.974)]; the need for ventilatory support [invasive mechanical ventilation; OR=24.050 (95%CI=12.584-45.962) and non-invasive mechanical ventilation; OR=2.249 (95%CI=1.378-3.671)]; dyspnea [OR=2.053 (95%CI=1.196-3.522)]; oxygen saturation <95% [OR=1.691 (95%CI=1.050-2.723)]; myalgia [OR=0.423 (95%CI=0.191-0.937)]; and the presence of kidney disorders [OR=3.135 (95%CI=1.144-8.539)]. INTERPRETATION: The Brazilian Indigenous peoples are in a vulnerable situation during the COVID-19 pandemic and presented an increased risk of death due to COVID-19. Several factors were associated with enhanced risk of death, as male sex, older age (≥60 y.o.), and need for ventilatory support; also, other factors might help to differentiate SARS by COVID-19 or by OEA, as older age (≥43 y.o.), loss of smell, and fever. FUNDING: Fundação de Amparo à Pesquisa do Estado de São Paulo (Foundation for Research Support of the State of São Paulo; #2021/05810-7).

High-resolution computed tomography enhances the diagnosis and follow-up of influenza A (H1N1) virus-associated pneumonia.

INTRODUCTION: We present the findings on high-resolution computed tomography (HRCT) of influenza A (H1N1) virus-associated pneumonia of 140 patients with acute and post-acute pneumonia, totaling 189 exams in a retrospective observational study evaluating the importance of HRCT as a diagnostic imaging method in the acute phase and in the follow-up of pneumonia. METHODOLOGY: We performed a retrospective observational study evaluating the HRCT findings of 140 adult patients with confirmed diagnosis of influenza A (H1N1) pneumonia and without other associated infectious processes. Chest X-ray exams were also performed in these patients. RESULTS: The main HRCT findings of lung involvement were airspace consolidation (57 cases), ground-glass opacities (40 cases) and an association of both aspects (43 cases), with a predominantly bilateral and peripheral distribution. CONCLUSIONS: HRCT is able to distinguish small lesions, such as small areas of consolidation or ground glass opacities, with little increase in lung attenuation, when chest X-rays was normal, allowing a prompt diagnosis and treatment after imaging.

Hallazgos tomográficos pulmonares y su asociación con niveles de linfocitos T CD4+ en pacientes portadores del virus de inmunodeficiencia humana / CT pulmonary findings and their association with CD4+ T lymphocytes levels in human immunodeficiency virus carriers

Respiratory diseases are frequent complications in HIV infection. High Resolution Computed Tomography (HRCT) has proven superior to conventional imaging techniques to establish a pulmonary disease diagnosis. A study was conducted in order to establish the association between tomographic pulmonary patterns and immune status of HIV-infected patients. We evaluated 35 patients with respiratory symptoms and / or abnormal chest radiograph. An association was observed between the presence of ground glass pattern and P jirovecii infection. Likewise, a correlation between pulmonary histoplasmosis diagnosis and honeycomb pattern, lung cysts and nodules was established. Few correlation between tomographic patterns and CD4 + T lymphocyte counts was observed. In summary, HRCT findings can predict certain types of infection; nevertheless, further studies are required to extrapolate this association to other noninfectious lung diseases in HIV-infected patients.

Las enfermedades respiratorias constituyen complicaciones frecuentes en la infección por VIH. La Tomografía Axial Computarizada de Alta Resolución (TACAR) ha demostrado ser superior a las técnicas de imagen convencionales para establecer diagnóstico de enfermedad pulmonar. Se realizó un estudio con la finalidad de establecer la asociación entre patrones tomográficos pulmonares y el estado inmunológico de pacientes VIH+. Se evaluaron 35 pacientes sintomáticos respiratorios y/o con radiografía torácica patológica. Se observó una asociación entre la presencia de patrón en vidrio esmerilado e infección por P jirovecii. Asimismo, se observó una asociación entre diagnóstico de histoplasmosis pulmonar y patrón de panal de abejas, quistes pulmonares y nódulos. Se demostraron pocas correlaciones entre patrones tomográficos y conteo de linfocitos T CD4+. En conclusión, los hallazgos en la TACAR pueden predecir determinados tipos de infección requiriendo de más estudios para extrapolar esta asociación a otras enfermedades pulmonares no infecciosas en el paciente VIH+.

Sistema automático para quantificação e visualização da aeração pulmonar em imagens de tomografia computadorizada de tórax: Sistema de Análise de Imagens Pulmonares – SAIP / Automatic system for quantification and visualization of lung aeration on chest computed tomography images: the Lung Image System Analysis – LISA

A tomografia computadorizada de alta resolução (TCAR) é o exame de escolha na avaliação diagnóstica de afecções do parênquima pulmonar. Neste particular, há um interesse crescente por sistemas computacionais capazes de analisar automaticamente a densidade radiológica dos pulmões. O principal objetivo deste trabalho é apresentar um sistema automático para quantificação e visualização do grau de aeração pulmonar (SAIP), em imagens de TCAR de pulmões com diferentes graus de alterações da aeração pulmonar. Como objetivo secundário comparar o SAIP ao sistema Osiris e a um algoritmo específico de segmentação pul­monar (SP), quanto à acurácia na segmentação do parênquima pulmonar. O SAIP disponibiliza atributos quantitativos extraídos automaticamente, tais como perímetro, área e volume da secção pulmonar, bem como o histograma de faixa de densidades ra­diológicas e acumulado, densidade pulmonar média (Dpm) em unidades Hounsfield (UH), área relativa dos voxels com densi­dade menor que –950 UH (RA950) e os valores de 15° percentil de baixa atenuação (PERC15). Além disso, é capaz de processar imagens por meio de uma ferramenta de máscara colorida, que aplica pseudo­cores no parênquima pulmonar, conforme faixas de densidade radiológicas pré­determinadas. Os resultados da segmentação pulmonar são comparados para um conjunto de 102 imagens de 8 voluntários saudáveis e 141 imagens de 11 pacientes com doença pulmonar obstrutiva crônica (DPOC). Quanto à segmentação, o SAIP se apresenta mais efetivo do que os outros dois métodos. O SAIP constitui uma ferramenta pro­missora no auxílio ao diagnóstico de enfisema em pacientes com DPOC, com grande potencial de aplicação nesta área e em outras doenças pulmonares.

High Resolution Computed Tomography (HRCT) is the exam of choice for the diagnostic evaluation of lung parenchyma diseases. There is an increasing interest for computational systems able to automatically analyze the radiological densities of the lungs in CT images. The main objective of this study is to present a system for the automatic quantification and visualization of the lung aeration in HRCT images of different degrees of aeration, called Lung Image System Analysis (LISA). The secondary objective is to compare LISA to the Osiris system and also to specific algorithm lung segmentation (ALS), on the accuracy of the lungs segmentation. The LISA system automatically extracts the following image attributes: lungs perimeter, cross sectional area, volume, the radiological densities histograms, the mean lung density (MLD) in Hounsfield units (HU), the relative area of the lungs with voxels with density values lower than –950 HU (RA950) and the 15th percentile of the least density voxels (PERC15). Furthermore, LISA has a colored mask algorithm that applies pseudo-colors to the lung parenchyma according to the pre-defined radiological density chosen by the system user. The lungs segmentations of 102 images of 8 healthy volunteers and 141 images of 11 patients with Chronic Obstructive Pulmonary Disease (COPD) were compared on the accuracy and concordance among the three methods. The LISA was more effective on lungs segmentation than the other two methods. LISA’s color mask tool improves the spatial visualization of the degrees of lung aeration and the various attributes of the image that can be extracted may help physicians and researchers to better assess lung aeration both quantitatively and qualitatively. LISA may have important clinical and research applications on the assessment of global and regional lung aeration and therefore deserves further developments and validation studies.