A quantitative model using multi-parameters in dual-energy CT to preoperatively predict serosal invasion in locally advanced gastric cancer.

Objectives: To develop and validate a quantitative model for predicting serosal invasion based on multi-parameters in preoperative dual-energy CT (DECT).

Materials And Methods: A total of 342 LAGC patients who underwent gastrectomy and DECT from six centers were divided into one training cohort (TC), and two validation cohorts (VCs). Dual-phase enhanced DECT-derived iodine concentration (IC), water concentration, and monochromatic attenuation of lesions, along with clinical information, were measured and collected.

Clinical and prognostic value of CT perfusion imaging parameters in patients with primary liver cancer after therapy.

Objective: To explore the value of arterial enhancement fraction (AEF) of CT perfusion in evaluating the postoperative treatment efficacy on liver cancer (LC).

Methods: Clinical data of 60 patients with LC who were treated with transcatheter arterial chemoembolization for LC in our hospital from Jan. 2015 to Jan.

Comparison of Chest CT Manifestations of Coronavirus Disease 2019 (COVID-19) and Pneumonia Associated with Lymphoma.

To retrospectively compare the clinical features and chest computed tomography (CT) characteristics of coronavirus disease 2019 (COVID-19) and pneumonia in lymphoma patients. Ten lymphoma patients with pneumonia and 12 patients with COVID-19 infections were enrolled from January 15 to March 14, 2020. The clinical features were recorded.

Tumor-specific design of PEGylated gadolinium-based nanoscale particles: Facile synthesis, characterization, and improved magnetic resonance imaging of metastasis lung cancer.

Herein we report the synthesis and characterization of the antifouling Gadolinium oxide (GdO) nanoparticles (NPs) modified with PEG with improved biocompatibility for MR imaging purposes. In this report, using the solvothermal decomposition of Gadolinium (III) in the presence of Nacit, monitored by surface modification with PEG and L-Cys. The synthesized nanoparticles were confirmed by the TEM, DLS and UV-Visible spectroscopy.

LncRNA MAFG-AS1 boosts the proliferation of lung adenocarcinoma cells via regulating miR-744-5p/MAFG axis.

Lung adenocarcinoma (LUAD) is typically featured by a low 5-year survival rate, hence there is a necessary to investigate new biomarkers in LUAD progression. Competing endogenous RNA (ceRNA) network has been widely reported in the regulation of tumor processes, which is also the main direction of this paper. Based on the data of GEPIA database, lncRNA MAFG-AS1 was upregulated in LUAD tissues, which was associated with poor prognosis of patients.