Abstract:Objective: To explore the value of ADC whole-tumor histogram in differentiating glioblastom from solitary brain metastasis. Methods: Retrospective analysis of 30 cases of glioblastom and 28 cases of solitary brain metastasis which were pathologically confirmed was done. Region of interest(ROI) on each slice of ADC maps including tumor was drawn and the histogram was analyzed. The two steps were both conducted by the software Mazda. The histogram parameters were analyzed statistically to find out if there is significant difference between the two groups. Next, receiver operating characteristic(ROC) curve was drew to assess diagnostic efficiency. Results: As for the 9 parameters extracted from histogram, the difference of the mean, skewness, the 1th, 10th, 50th, 90th, 99th percentiles between the two groups showed statistical significance(P<0.05). Areas under the ROC curve were 0.792, 0.658, 0.674, 0.736, 0.801, 0.735, 0.699, respectively. The sensitivity and the specificity of mean value in differentiation were 70.0% and 78.6%, respectively. And those for skewness, 1th percentile, 10th percentile, 50th percentile, 90th percentile and 99th percentile were 60.7% and 60.0%, 76.7% and 64.3%, 70.0% and 67.9%, 63.3% and 78.6%, 70.0% and 75.0%, 70.0% and 60.7%, respectively. Conclusion: ADC whole-tumor histogram analysis can be used as an important supplementary method to differentiate glioblastom from solitary brain metastasis.
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