RÉSUMÉ
Hepatocellular carcinoma (HCC) is a common malignant tumor of the liver characterized by a high incidence rate, rapid progression, and poor prognosis. In recent years, it has been found that non-coding RNA (ncRNA) participates in the regulation of tumor immunity in tumor microenvironment (TME) and in turn affects the biological behavior of HCC. This article briefly describes the regulatory effect of ncRNA on immune cells in TME and introduces the potential value of ncRNA in the diagnosis and treatment of HCC, in order to provide potential diagnostic and treatment strategies for HCC.
RÉSUMÉ
Dual-energy computed tomography (CT) reconstruction imaging technology is an important development direction in the field of CT imaging. The mainstream model of dual-energy CT reconstruction algorithm is the basis material decomposition model, and the projection decomposition is the crucial technique. The projection decomposition algorithm based on projection matching was a general method. With establishing the energy spectrum lookup table, we can obtain the stable solution by the least squares matching method. But the computation cost will increase dramatically when size of lookup table enlarges and it will slow down the computer. In this paper, an acceleration algorithm based on projection matching is proposed. The proposed algorithm makes use of linear equations and plane equations to fit the lookup table data, so that the projection value of the decomposition coefficients can be calculated quickly. As the result of simulation experiment, the acceleration algorithm can greatly shorten the running time of the program to get the stable and correct solution.