The patients in this dataset fulfill: (1) Pathologically proven Adrenocortical carcinoma, (2) underwent surgical resection of the tumour, (3) the Ki-67 index was determined as part of the histopathological evaluation of the resected tissue, (4) imaging data (pre-resection contrast-enhanced CT of the abdomen) were available. Data from patients whose Ki-67 was quantified in biopsied tissue samples rather than from resected whole tumor, were excluded from this study. This exclusion was based on previous studies concluding that Ki-67 quantification should be based on tissue samples collected from the whole tumour. Voxel level segmentation of the adrenal lesion in will be included as well.

This dataset can serve as a training set for any machine learning algorithm for various purposes. We used the radiomic features extracted to predict the Ki-67 index (through regression) without the need of surgical intervention, it also can be used for multiple purposes for segmentation, and classification of adrenal tumors. In addition, there is no public available library for adrenal lesions, and this should be important to scientific community.