We compared the tumor classification of GEP-NETs using currently used methods (binary state of Ki-67 expression) and our semiquantal DIA assessment to assess the significance of grade changes, with the aim of improving the accuracy of the current classification and therefore to offer patients suffering from GEP-NETs more accurate therapeutic solutions. Here, MKI67 is linked to neoplasm.