Knight Challenge: Kidney Clinical Notes And Imaging To Guide And Help Personalize Treatment And Biomarkers Discovery

The aim of the KNIGHT challenge is to facilitate the development of Artificial Intelligence (AI) models for automatic preoperative prediction of risk class for patients with renal masses identified in clinical Computed Tomography (CT) imaging of the kidneys. The dataset, we name the Kidney Classification (KiC) dataset, is based on the 2021 Kidney and Kidney Tumor Segmentation challenge (KiTS) and extended to include additional CT phases and clinical information, as well as risk classification labels, deducted from postoperative pathology results. Some of the clinical information will also be available for inference. The patients are classified into five risk groups in accordance with American Urological Association (AUA) guidelines. These groups can be divided into two classes based on the follow-up treatment. The challenge consists of three tasks: (1) binary patient classification as per the follow-up treatment, (2) fine-grained classification into five risk groups and (3) discovery of prognostic biomarkers.