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The spread through air spaces (STAS) is one of the aggressive behaviors of lung adenocarcinoma. It is a risk factor for recurrence and an indicator of poor prognosis after sublobectomy. The association between computed tomography (CT)-based features and STAS can predict the STAS status of patients with lung adenocarcinoma, and thus, assist in the clinical selection of the appropriate type of surgery. This article reviewed the aggressiveness of STAS in lung adenocarcinoma and the current research on the preoperative CT prediction of STAS, as well as related new techniques.

In order to solve the problems of real-time monitoring of the airbag shapes of a space airship, three-dimensional (3D) deformation reconstruction method of airbag skins was proposed based on temperature self-decoupling multi-core optical fiber sensor. According to the 3D shape characteristics of the airship airbags, the layout of the multi-core optical fiber sensors were designed, sensing structure of multi-core optical fiber was combined with the Frenet-Serret equation to establish a 3D deformation reconstruction algorithm of the airship airbags with temperature self-decoupling function. Using flexible composite skins of the airship airbag as the test subjects, the 3D deform multi-core optical fiber reconstruction test system of the airship airbag was designed and integrated. The test analyzed the 3D deformation reconstruction accuracy of the multi-core optical fiber se: under the temperature change environments and the surface of airship airbag skins under diff bending degrees, and verified the effectiveness of the method. The research results show that method of multi-core optical fiber sensor with temperature self-decoupling may accurately recons the deformation of the airship airbag skins in a large range of temperature environment, and the age value of the reconstruction errors of the 3D surface of the airship airbag skins is less than 1.5%. The real-time monitoring of shapes has application prospects. [ABSTRACT FROM AUTHOR]

Background Coronary heart disease (CHD) is the leading cause of death world wide. Coronary angiography is often used as an effective approach for the diagnosis of CHD. However, coronary angiography accounts for relatively low percentagein examination approaches due to the limitation of various conditions in primary care, and more meaningful biomarkers need to be explored to provide a basis for primary care physicians to diagnose and treat CHD. In the previous study of our research group, it is found that early growth response 3 (Egr3) gene may be a susceptibility factor in the heterogeneity of CHD pathogenesis, and there are few reports on the correlation between CHD and Egr3 gene and inflammatory biomarkers. Objective To investigate the correlation between Egr3, interleukin-6 (IL-6) and CHD, as well as their expression levels and the severity of coronary stenosis, so as to provide a favorable laboratory basis for clinical diagnosis and treatment inprimary care. Methods A total of 110 patients who admitted to the Fifth Affiliated Hospital of Xinjiang Medical University for CHD symptoms and completed coronary artery angiography (CAG) during June to December 2021 were collected and divided into the mild stenosis group (group A≤52 points, n=50) , moderate-severe stenosis group (group B>52 points, n=30) and control group (group C, n=30) according to the CAG results and median Gensini score (52 points) . Serum Egr3 and IL-6 levels of the included patients were measured by enzyme-linked immunosorbent assay. Results The IL-6 level in group B was higher than that in group A and group C (P