ABSTRACT
The hybrid pencil beam model (HPBM) is an effective algorithm for calculating electron dose distribution in radiotherapy. The mean energy distribution of incident electron beam in phantom is one of the factors that affect the calculation accuracy of HPBM, especially in field edge areas near the end of the electron range. A new fitted formula based on Monte Carlo (MC) simulation data for electron beams with energy range of 6-20 MeV in the homogeneous water phantom is proposed in this paper. The precision of the fitted formula within the scope of the energy was evaluated by comparing the electron dose distribution of ECWG measured data with that obtained from HPBM which took the mean electron energy that calculated by the fitted formula and the existed empirical formula, respectively. The results showed that the accuracy of dose distribution that obtained by the mean electron energy calculated with the fitted formula increased about 1%.
Subject(s)
Humans , Algorithms , Electrons , Monte Carlo Method , Phantoms, Imaging , Radiotherapy Planning, Computer-Assisted , WaterABSTRACT
Objective To investigate whether HSP90α could be a sensitive and specific serum biomarker for the diagnosis and progression of lung cancer. Methods In the present study, different secretomic analy-ses on the two human lung adenocarcinoma cell lines CL1-0 and CL1-5 with low and high metastatic poten-tial, respectively, were performed using sodium dodecyl sulfate-polyacrylamide gel electrophoresis and ma-trix-assisted laser desorption/ionization time-of-flight mass spectrometry. The candidate biomarker was con-firmed by Western blotting, and was further analyzed in 224 serum samples including 141 lung cancer, 37 benign pulmonary diseases, as well as 46 healthy individuals using ELISA assay. Results HSP90α was sig-nificantly upregulated in the CM of CL1-5 cells. It was found that the levels of HSP90α were specifically ele-vated in the sera of non-small cell lung cancer compared with other groups. At the cut-off point 0.535 on the receiver operating oharacteristie curve, HSP90α could comparatively discriminate lung cancer from benign lung disease and healthy control groups with sensitivity of 0. 817, specificity 0. 919 and total accuracy 80. 14%. Conclusion HSP90α may be a potential useful serum biomarker for discriminating lung cancer from benign lung diseases and healthy individuals and staging of non-small cell lung cancer.