OBJECTIVE: To explore the diagnostic value of lung ultrasound (LUS) and pleural shear wave elastography (SWE) for connective tissue disease-interstitial lung disease (CTD-ILD).
METHODS: We selected 104 patients diagnosed with connective tissue disease (CTD) at our hospital. All patients underwent LUS, SWE, and high-resolution computed tomography (HRCT). With HRCT as the imaging gold standard for diagnosis, patients were categorized into CTD-ILD and CTD-non-ILD groups. We employed paired chi-square tests to compare the diagnostic differences between HRCT and LUS for ILD. Receiver operating characteristic (ROC) curves were used to assess the diagnostic value of pleural SWE for ILD. Correlation analysis was performed between pleural elasticity values and lung ultrasound scores.
RESULTS: The sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of LUS for diagnosing CTD-ILD were 93.3%, 86.2%, 6.761, and 0.078, respectively. There was no statistically significant difference in the results between HRCT and LUS (P = 1.000), with a kappa value of 0.720 (P < 0.001). There was a statistically significant difference in the pleural elasticity in the bilateral lower back region between the case and control groups (P < 0.001). The area under the receiver operating characteristic (ROC) curve (AUC) for pleural SWE in diagnosing CTD-ILD was 0.685. In CTD-ILD patients, there was no significant correlation between pleural elasticity values and LUS scores (P > 0.05).
CONCLUSIONS: The LUS can serve as an important imaging method for screening for CTD-ILD and assessing the severity of the disease. However, pleural SWE has been shown to demonstrate lower diagnostic efficacy for CTD-ILD, and its ability to assess disease severity is limited.

The aim of this study was to determine and compare the capability of the High-Resolution Computed Tomography (HRCT) and endoscope in detecting hidden areas of medial retrotympanum in cases with chronic otitis media (COM). Per-operative endoscopic evaluation of structures in medial retrotympanum was done in 74 patients suffering from COM and was compared with pre-operative HRCT of the temporal bone in 50 patients. HRCT revealed type-A Sinus Tympani (ST) in 61.2%, type-B in 34.7%, and type-C in 4.1% of the patients; endoscope could reveal type-A in 71.6%, type-B in 25.7% and type-C in 1.4% of the patients. Ponticulus was discovered in 84.1%, subiculum in 100%, finiculus in 97.3% and sinus subtympanicus (SST) in 100% of the cases using endoscope. HRCT could detect ponticulus in 38.6% and subiculum in 4.0% of the cases. HRCT could not very clearly detect finiculus and SST. HRCT could not differentiate the content of the ST as compared with endoscopy. HRCT is a useful diagnostic tool in predicting the presence and type of ST, but its accuracy in detecting SST, finer bony ridges of ponticulus, subiculum, and finiculus and the contents is poorer than endoscope.

BACKGROUND: The INBUILD study demonstrated the efficacy of nintedanib in the treatment of progressive fibrosing interstitial lung disease different to idiopathic pulmonary fibrosis, including rheumatoid arthritis (RA)-related ILD. Nevertheless, the prevalence of RA-ILD patients that may potentially benefit from nintedanib remains unknown.
OBJECTIVE: The aim of the present multicentre study was to investigate the prevalence and possible associated factors of fibrosing progressive patterns in a cross-sectional cohort of RA-ILD patients.
RESULTS: One hundred and thirty-four RA-ILD patients with a diagnosis of RA-ILD, who were confirmed at high-resolution computed tomography and with a follow-up of at least 24 months, were enrolled. The patients were defined as having a progressive fibrosing ILD in case of a relative decline in forced vital capacity > 10% predicted and/or an increased extent of fibrotic changes on chest imaging in a 24-month period. Respiratory symptoms were excluded to reduce possible bias due to the retrospective interpretation of cough and dyspnea. According to radiologic features, ILD was classified as usual interstitial pneumonia (UIP) in 50.7% of patients, nonspecific interstitial pneumonia in 19.4%, and other patterns in 29.8%. Globally, a fibrosing progressive pattern was recorded in 36.6% of patients (48.5% of patients with a fibrosing pattern) with a significant association to the UIP pattern.
CONCLUSIONS: We observed that more than a third of RA-ILD patients showed a fibrosing progressive pattern and might benefit from antifibrotic treatment. This study shows some limitations, such as the retrospective design. The exclusion of respiratory symptoms\' evaluation might underestimate the prevalence of progressive lung disease but increases the value of results.

UNASSIGNED: Patients with rheumatoid arthritis (RA) and interstitial lung disease (ILD) have increased mortality compared to the general population and factors capable of predicting RA-ILD long-term clinical outcomes are lacking. In oncology, radiomics allows the quantification of tumour phenotype by analysing the characteristics of medical images. Using specific software, it is possible to segment organs on high-resolution computed tomography (HRCT) images and extract many features that may uncover disease characteristics that are not detected by the naked eye. We aimed to investigate whether features from whole lung radiomic analysis of HRCT may alone predict mortality in RA-ILD patients.
UNASSIGNED: High-resolution computed tomographies of RA patients from January 2012 to March 2022 were analyzed. The time between the first available HRCT and the last follow-up visit or ILD-related death was recorded. We performed a volumetric analysis in 3D Slicer, automatically segmenting the whole lungs and trachea via the Lung CT Analyzer. A LASSO-Cox model was carried out by considering ILD-related death as the outcome variable and extracting radiomic features as exposure variables.
UNASSIGNED: We retrieved the HRCTs of 30 RA-ILD patients. The median survival time (interquartile range) was 48 months (36-120 months). Thirteen out of 30 (43.33%) patients died during the observation period. Whole line segmentation was fast and reliable. The model included either the median grey level intensity within the whole lung segmentation [high-resolution (HR) 9.35, 95% CI 1.56-55.86] as a positive predictor of death and the 10th percentile of the number of included voxels (HR 0.20, 95% CI 0.05-0.84), the voxel-based pre-processing information (HR 0.23, 95% CI 0.06-0.82) and the flatness (HR 0.42, 95% CI 0.18-0.98), negatively correlating to mortality. The correlation of grey level values to their respective voxels (HR 1.52 95% CI 0.82-2.83) was also retained as a confounder.
UNASSIGNED: Radiomic analysis may predict RA-ILD patients\' mortality and may promote HRCT as a digital biomarker regardless of the clinical characteristics of the disease.

Coronavirus disease 2019 (COVID-19) has turned out to be the most devastating viral disease that the world has encountered for the past century. The World Health Organization (WHO) declared it a pandemic on March 11, 2020. The disease mainly spreads through respiratory droplets which makes social distancing a primary tool of prevention. Many variant strains have emerged up since the pandemic started and the Delta variant is responsible for recent surge of cases in second wave of COVID-19 in India. Mass vaccination is the most efficacious precautionary measure that can be applied to stop the transmission and generate herd immunity. Vaccination does not give 100% prevention from infection, but it halts the severity of infection. Vaccine is the boon amidst the mayhem. Our study highlights that those vaccinated (particularly two doses) had clinically mild symptoms and mild computed tomography severity score (CTSS) with a speedy recovery. Those unvaccinated had moderate to severe symptoms with moderate to severe CTSS (>8) often requiring hospital admission and having poor prognosis. Thus, vaccine helps reduce the health burden of the already strained health care system. Immunization visit can also be used as an opportunity to disseminate message to encourage behavior, to reduce transmission risk of COVID-19 virus, to identify the signs and symptoms of disease, and to provide guidance on what to do.

OBJECTIVE: Interstitial lung disease (ILD) is a common extra-articular manifestation of rheumatoid arthritis (RA) and is associated with high mortality, especially in progressive ILD. We aimed to identify predictors of disease progression in the early stages of ILD in a large sample of patients with RA.
METHODS: The medical records of 201 RA-ILD patients were retrospectively analyzed. According to changes in their pulmonary function tests, patients were divided into progressive disease and stable disease groups. Data were collected on clinical characteristics, laboratory findings, chest high-resolution computed tomography, and therapeutic agents. Univariate and multivariate analyses were performed to identify predictors of ILD progression.
RESULTS: During a median follow up of 38 months, 105 (52.5%) patients were diagnosed with progressive ILD. These patients were mostly male, past or present smokers (P = 0.028, P = 0.021, respectively). Higher Health Assessment Questionnaire-Disability Index score and higher Disease Activity Score in 28 joints with erythrocyte sedimentation rate (DAS28-ESR) were observed in the ILD progression group (P = 0.003, P < 0.001, respectively). There were no significant differences in baseline respiratory symptoms, pulmonary function, or laboratory features. Multivariate analysis indicated that high DAS28-ESR, definite usual interstitial pneumonia pattern, fibrosis score, and less use of cyclophosphamide were independent risk factors for RA-ILD progression. Fifteen (7.46%) patients died during the follow up, and the most frequent cause of death was lung infection.
CONCLUSIONS: Our results suggested that high disease activity, definite usual interstitial pneumonia pattern, fibrosis score, and less use of cyclophosphamide at the onset of ILD may indicate the progression of ILD in RA patients.

BACKGROUND: Asbestosis and fibrotic hypersensitivity pneumonitis (FHP) share the pathogenetic mechanisms induced bronchiolocentric fibrotic process secondary to inhalation exposure. Under the occupational and environmental mixed exposures, asbestosis and FHP are needed to make the differential diagnoses on high-resolution computed tomography (HRCT), especially in the countries still using asbestos. The study aimed to analyze the HRCT features of asbestosis versus FHP.
METHODS: The patients with asbestosis or with HP were sequentially recruited in this comparative study at Beijing Chaoyang Hospital between January 2006 and December 2016. Patients\' clinical data were obtained from a predesigned charts. The international classification of HRCT for occupational and environmental respiratory diseases was used to categorize chest imaging findings in patients. The calculation of test statistics was used to compare the imaging features of asbestosis and FHP.
RESULTS: 341 patients with asbestosis and 158 patients with HP were sequentially recruited, among which 204 patients with asbestosis and 74 patients with FHP were eligible for data analysis. Patients with asbestosis were older and had a longer latent period until disease manifestation than those with FHP. Asbestosis was characterized by irregular and/or linear opacities, with lower lung preponderance, accompanied by ground-glass opacities and mosaic attenuation. Notably, 98.5% of patients with asbestosis showed benign pleural abnormalities, and 39.7% of these patients had diffuse pleural thickening with parenchymal bands and/or rounded atelectasis. Abnormalities of the mediastinal and diaphragmatic pleura were observed only in cases of asbestosis, and this finding showed high specificity for the diagnosis for asbestosis compared with that for FHP. Subpleural dots or diaphragmatic pleural abnormalities showed moderate sensitivity and high specificity for diagnosis of asbestosis compared with that for FHP. Interobserver reliability was good for evaluation of imaging findings including honeycombing, pleural calcification, lymphadenectasis, and lymph node calcification.
CONCLUSIONS: HRCT-based imaging findings can distinguish between asbestosis and FHP to a certain extent, particularly with regard to subpleural dots and diaphragmatic pleural abnormalities that characterize the former.

OBJECTIVE: To examine the effectiveness of Janus-kinase inhibitors (JAKis) or abatacept (ABA) in patients with rheumatoid arthritis-interstitial lung disease (RA-ILD).
METHODS: Patients with RA-ILD receiving JAKis or ABA were retrospectively evaluated at baseline and after 18 months of treatment. A computer-aided method (CaM) was used to assess the extent of high-resolution computed tomography (HRCT) fibrosis percentage. According to HRCT fibrosis changes, patients were classified as \"worsened\" (progression of 15% or more), \"stable\" (changes within 15%) or \"improved\" (reduction of 15% or more). Correlations between RA characteristics and JAKis or ABA responses were studied using a multivariate regression model.
RESULTS: Seventy-five patients (69.3% women) were evaluated, 31 received a JAKi while 44 received ABA. In the JAKis group, five patients (16.1%) showed RA-ILD progression, 20 patients (64.5%) were considered stable, and six patients (19.4%) demonstrated RA-ILD improvement. In the ABA group, five patients (11.3%) showed RA-ILD progression, 32 patients (72.7%) were stable, and seven patients (16.0%) demonstrated RA-ILD improvement. In both groups, the percentage of current smokers was different between those classified as \"worsened\" and those classified as \"improved/stable\" (p = 0.01). In multivariate regression analysis, current smoking habit (p = 0.0051) and concomitant methotrexate treatment (p = 0.0078) were the two variables related to RA-ILD progression in ABA-treated patients, whereas in JAKis-treated patients, the only RA-ILD progression-related variable was disease duration of RA (p < 0.001).
CONCLUSIONS: Treatment with JAKis or ABA was related to stability or improvement of RA-ILD in 83.9% and 88.6% of patients, respectively. RA duration is the only variable associated with worsening RA-ILD in JAKis-treated patients.

Antifibrotic therapy has changed the treatment paradigm for idiopathic pulmonary fibrosis (IPF); however, a subset of patients still experienced rapid disease progression despite treatment. This study aimed to determine whether CT-based radiomic features can predict therapeutic response to antifibrotic agents. In this retrospective study, 35 patients with IPF on antifibrotic treatment enrolled from two centers were divided into training (n = 26) and external validation (n = 9) sets. Clinical and pulmonary function data were collected. The patients were categorized into stable disease (SD) and progressive disease (PD) groups based on functional or radiologic criteria. From pretreatment non-enhanced high-resolution CT (HRCT) images, twenty-six radiomic features were extracted through whole-lung texture analysis, and six parenchymal patterns were quantified using dedicated imaging platforms. The predictive factors for PD were determined via univariate and multivariate logistic regression analyses. In the training set (SD/PD: 12/14), univariate analysis identified eight radiomic features and ground-glass opacity percentage (GGO%) as potential predicators of PD. However, multivariate analysis found that the single independent predictor was the sum entropy (accuracy, 80.77%; AUC, 0.75). The combined sum entropy-GGO% model improved the predictive performance in the training set (accuracy, 88.46%; AUC, 0.77). The overall accuracy of the combined model in the validation set (SD/PD: 7/2) was 66.67%. Our preliminary results demonstrated that radiomic features based on pretreatment HRCT could predict the response of patients with IPF to antifibrotic treatment.

OBJECTIVE: To investigate the feasibility of reducing radiation dose by modifying tube voltage, window settings, and algorithm while maintaining image quality, based on the qualitative evaluation of its quality and the radiation dose, using raw data acquired in chest high-resolution computed tomography (HRCT).
METHODS: Radiation exposure was measured using a Fluke dosimeter while modifying the tube voltage to 80 and 100 from 120 kVp in a 64-slice multi-detector computed tomography for comparison and analysis. Changes in image quality as a result of the different tube voltage settings, 3 different window settings (-550, -600, and -700), and 2 algorithms (standard and edge) were analyzed using ImageJ.
RESULTS: Relative to 120kVp, the dose decreased by approximately 67.8% and 36.9% at 80 and 100 kVp, respectively. Image quality assessment showed that changing the window setting to -700 (window level) after scanning with the tube voltage set at 100 kVp and applying the edge algorithm reduced the radiation dose while maintaining the image quality.
CONCLUSIONS: The findings are significant with respect to the reduction of scan dose in that they demonstrate how radiation exposure can be reduced in a clinical scenario by altering the settings on an existing HRCT apparatus. Additional clinical trials and image assessments should be conducted on human participants to confirm the feasibility of altering HRCT settings for reducing scan doses.