Based on previous studies, the minimum clinically important difference is 0.74 for the BCTQ. With 90% statistical power, 5% significance level, and two-sided statistical tests, and assuming a standard deviation of 0.8 for the BCTQ score the study can detect a true difference of at least 0.74 point on the BCTQ between the two intervention groups when 50 patients are randomized. Version 20.0 of the SPSS statistical package is used. Descriptive statistics are presented as frequencies, means with standard deviation or medians with ranges as appropriate. Baseline parameters of patient between two treatment groups are compared by chi-square test for categorical variables, Student's t test for continuous variables with normal distribution or Mann-Whitney U test for nonparametric continuous variables. BCTQ scores before treatment and at the one, four and twelve weeks after treatment are compared with paired samples t test. Differences of the BCTQ scores between the two treatment groups were investigated with independent samples t test. For multi-variate analysis, multiple linear regression is used to compute the differences of outcome measures between the two treatment groups, and within the groups before and after the respective treatments with adjustment for baseline variables. Results are considered statistically significant if the P value is less than 0.05.