All data were analyzed using SPSS (version 18.0, Statistical Package for the Social Sciences, International Business Machines, Inc., Armonk, New York, USA).

Continuous variables were described as mean ± SD and categorical variables were expressed as frequencies and percentages.

The Kolomogorov-Smirnov test showed a non-normal distribution for T1 values.

The comparison of T1 values between two groups was made by the Wilcoxon rank sum test. χ2 testing was performed for non-continuous variables.

Correlation analysis was performed using the Spearman’s test.

Logistic regression was used to evaluate the odds ratio (OR) with 95% confidence intervals (CI). The OR was used to compare the odds for two groups.

To determine the best cut-off of T1 or T2* values for discriminating the presence of a specific condition, the maximum sum of sensitivity and specificity was calculated from receiver-operating characteristic (ROC) curve analysis.

A 2-tailed P < 0.05 was considered statistically significant.

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