Abstract
PURPOSE: To explore the role of histogram analysis of perfusion parameters from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) based on entire tumor volume in discriminating tumor characteristics and predicting therapeutic response in rectal cancer. MATERIALS AND METHODS: Thirty-seven DCE-MRIs of locally advanced rectal cancer patients who received chemoradiation therapy (CRT) before surgery were analyzed by pharmacokinetic model for quantification and histogram analysis of perfusion parameters. The results were correlated with tumor characteristics including EGFR expression, KRAS mutation, and CRT response based on the pathologic tumor regression grade (TRG). RESULTS: The area under the contrast agent concentration-time curve (AUC) skewness was significantly lower in patients with node metastasis. The v(p) histogram parameters were significantly higher in group with perineural invasion (PNI). The receiver operating characteristics (ROC) curve analyses showed that mode v(p) revealed the best diagnostic performance of PNI. The values of K(trans) and k(ep) were significantly higher in the group with KRAS mutation. ROC curve analyses showed that mean and mode K(trans) demonstrated excellent diagnostic performance of KRAS mutation. DCE-MRI parameters did not demonstrate statistical significance in correlating with TRG. CONCLUSION: These preliminary results suggest that a larger proportion of higher AUC skewness was present in LN metastasis group and a higher v(p) histogram value was present in rectal cancer with PNI. In addition, K(trans) and k(ep) histogram parameters showed difference according to the KRAS mutation, demonstrating the utility of the histogram of perfusion parameters derived from DCE-MRI as potential imaging biomarkers of tumor characteristics and genetic features.