Huyen Thanh Nguyen1, Guang Jia1, Zarine K. Shah, Kamal S. Pohar2, Amir Mortazavi3, Debra L. Zynger4, Xiangyu Yang1, Michael V. Knopp1
1Wright Center of Innovation in Biomedical Imaging, Department of Radiology, The Ohio State University, Columbus, OH, United States; 2Department of Urology, The Ohio State University, Columbus, OH, United States; 3Department of Internal Medicine, The Ohio State University, Columbus, OH, United States; 4Department of Pathology, The Ohio State University, Columbus, OH, United States
Purpose: to evaluate the capability of k-means clustering of DCE-MRI pharmacokinetic parameters in predicting chemotherapeutic response of bladder cancer at mid-cycle of chemotherapy. Methods: K-means clustering of voxel-based pharmacokinetic parameters was performed to determine the three cluster centroids. For each tumor, volume fraction of each cluster was calculated; and their changes from baseline to mid-cycle were determined and correlated with the tumors chemotherapeutic response. Results: The changes in the volume fraction of the three clusters from baseline to mid-cycle MRIs trended in the opposite directions and were significantly different between responders and non-responders (P<0.01). Conclusion: K-means clustering of DCE-MRI pharmacokinetic parameters shows robustness in revealing the complex change of microcirculation to enable prediction of chemotherapeutic response of bladder cancer at mid-cycle MRI.