ABSTRACT
Objective:To investigate the Value of Wavelet Analysis to Ultrasonic Diagnosis for liver neoplasms. Methods: The tissue images of Liver Neoplasms by ultrasonic examination experienced color conversion with Photoshop software, and the corresponding relationship among wavelet coefficient, spacial distribution and local image characteristic after conversion were analyzed, i.e.the row details were arrayed in line sequence,the line details in row sequence and the diagonal details in Zsequence. Results: The frequency spectral data and the image texture information were provided via imaging detection and wavelet analysis of, as well as the quantitative data description of the texture of the foci or the normal tissue. Conclusion:Wavelet analysis provided with a reliable basis for the early clinical diagnosis and treatment for liver neoplasms, by which the focal character and degree can be differentiated or analyzed.
ABSTRACT
At present,there is no unified standards of treatment in elderly advanced non-small cell lung cancer (NSCLC),but to elderly patients with higher KPS scores,radiotherapy or chemotherapy alone has gradually become the main treatment measures.The concurrent chemoradiotherapy can benefit to part of the elderly patients,and it is worth further clinical research.Targeted therapy has exactly effect,and the adverse effect is mild,which provides a new treatment model for elderly advanced NSCLC patients.However,the hospital costs are relatively high,which can not be accepted by ordinary family.So targeted drugs and the model of combination treatment can not be applied extensively.