Résumé
Resection probability maps capture the surgical treatment decision to stop glioma removal for many patients. This quantitates and explicates the extent of resection per voxel in the brain for a patient cohort from a single surgeon, a surgical team, an institute, or a group of institutes. This information may be useful for a new individual patient to make decisions on patient selection for resective surgery or for the application of advanced techniques to determine where to stop the resection. It may be used for surgical planning and postoperative evaluation of residual tumor. Furthermore, patient cohorts can be compared to pinpoint differentially resected regions in the brain to facilitate discussion by experts to improve surgical decision making. The processing of resection probability maps consists of collecting imaging data and related clinical data, segmenting of tumor outline before and after treatment, registering patient MRIs to a standard brain space, and statistical analysis of two or more resection probability maps.