Combining Intravoxel Incoherent Motion Diffusion Weighted Imaging and Texture Analysis for a Nomogram to Predict Early Treatment Response to Concurrent Chemoradiotherapy in Cervical Cancer Patients

Figure 3

A regression coefficient-based nomogram to predict the possibility of residual tumor after concurrent chemotherapy for one month. A line is drawn perpendicular from the one axis of a parameter to the top line marked with “points.” The number of points is counted for all parameters. Then, a line is drawn from the axis marked with “total points” to the bottom line to determine the possibility of residual tumor of cervical cancer. D: slow diffusion coefficient; f: perfusion-related diffusion fraction; GLCM: gray level co-occurrence matrix; GLRLM: gray level run length matrix; GLSZM: gray level size zone matrix; LRE: long run emphasis; ZE: zone entropy.