Objective To investigate the efficacy and safety of percutaneous Cool-tip Radiofrequency ablation guided by computerized tomography (CT) for the treatment of advanced lung cancer. Methods 32 patients of advanced lung cancer with 102 different pathological types were treated with MERP technique. The patients' blood pressure,pulse rate and oxygen saturation were monitored during the procedure. The hepatic, pulmonary and renal functions were examined before and after the procedure. The tumor bulk was compared with CT before and after the treatment. Results There were no any changes in the blood pressure, pulse rate and oxygen saturation in the whole series before, immediately after the term ination and one month after the procedure, nor did the hepatic,pulmonary and renal function as well. The bulk of the tumor in this group as a whole enlarged by the end of the first month after the therapy. The CT scanning of the tumor at the end of the third month revealed that there had 23 CR, 53 PRa, 24 PRb, and 2 NR among 102 tumors. Conclusion The Cool-tip Radiofrequency ablation is a promising mini-invasive technique for the treatment of advanced lung cancer with the satisfactory efficacy and safety.

The factor analysis method applied in imaging mass spectrometry data analysis was studied. The imaging mass spectrometric data were obtained by air flow-assisted ionization imaging mass spectrometry method. The sample contained some symbols which were drawn on slides using three different inks ( red, blue, black) . The imaging data analyzed by factor analysis method were divided into the background, black, blue and red factor. The results showed that the scores of m/z=443. 2, 478. 4, 322. 2(344. 2) in red, blue, black factor respectively were much larger than others. Therefore, they were markers of three inks. The results accorded with actual condition well and proved that the application of factor analysis in imaging mass spectrometric data analysis was feasible. The data analysis results of factor analysis and principal component analysis were compared. The results showed that the target sample markers could be extracted by factor analysis simply and quantitatively. It was of great potential in biomarker extraction, diseases diagnose and pharmacological analysis.