Wang T, Sun H, Han F, et al. - In this retrospective study, researchers analyzed 79 cervical cancer patients who underwent 18F-FDG PET/MRI before surgery to identify parametrial infiltration (PMI) with voxel-based segmentation of integrated PET/MRI images. On the T2W-MR image, region of interest (ROI) at the largest tumor level was delineated, and they applied ROI to PET image of the corresponding layer. Thereafter, the postprocessing of these images with segmentation and gray level calculations in the parauterine area was done. Findings revealed the feasibility of evaluating PMI based on PET/T2W-MRI voxel segmentation, as well as, of getting quantitative and visual indicators. As far as PMI diagnosis was concerned, an improved accuracy, sensitivity and NPV could be achieved with PET/MRI and gray level values considered together.