The mechanical behavior modeling of human soft biological tissues is a key issue for a large number of medical applications, such as surgery simulation, surgery planning, diagnosis, etc. To develop a biomechanical model of human soft tissues under large deformation for surgery simulation, the adaptive quasi-linear viscoelastic (AQLV) model was proposed and applied in human forearm soft tissues by indentation tests. An incremental ramp-and-hold test was carried out to calibrate the model parameters. To verify the predictive ability of the AQLV model, the incremental ramp-and-hold test, a single large amplitude ramp-and-hold test and a sinusoidal cyclic test at large strain amplitude were adopted in this study. Results showed that the AQLV model could predict the test results under the three kinds of load conditions. It is concluded that the AQLV model is feasible to describe the nonlinear viscoelastic properties of in vivo soft tissues under large deformation. It is promising that this model can be selected as one of the soft tissues models in the software design for surgery simulation or diagnosis.
With the advancement in modern medical technology， the treatment level for lung cancer patients and subsequent survival rate have been greatly improved. Survival time has been gradually replaced by quality of life （QOL） to evaluate treatment outcomes of cancer patients. In future clinical studies， QOL assessment can be used as a prognostic factor in predicting patient survival time， and even as the ultimate goal to evaluate the effectiveness of lung cancer treatment. Currently there have been few studies about the correlation between surgical treatment for lung cancer and QOL in the world， and most of those studies have some shortcomings and limitations. This review summarizes the correlation between surgical treatment for patients with non-small cell lung cancer and QOL mainly from following aspects：firstly， QOL definition and common assessment tools to evaluate QOL of lung cancer patients， secondly， the impact of surgical treatment on QOL of patients with non-small cell lung cancer， lastly， the application of QOL evaluation and new prospect.