BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions
CoRR(2024)
摘要
Glioblastoma is the most common primary adult brain tumor, with a grim
prognosis - median survival of 12-18 months following treatment, and 4 months
otherwise. Glioblastoma is widely infiltrative in the cerebral hemispheres and
well-defined by heterogeneous molecular and micro-environmental histopathologic
profiles, which pose a major obstacle in treatment. Correctly diagnosing these
tumors and assessing their heterogeneity is crucial for choosing the precise
treatment and potentially enhancing patient survival rates. In the
gold-standard histopathology-based approach to tumor diagnosis, detecting
various morpho-pathological features of distinct histology throughout digitized
tissue sections is crucial. Such "features" include the presence of cellular
tumor, geographic necrosis, pseudopalisading necrosis, areas abundant in
microvascular proliferation, infiltration into the cortex, wide extension in
subcortical white matter, leptomeningeal infiltration, regions dense with
macrophages, and the presence of perivascular or scattered lymphocytes. With
these features in mind and building upon the main aim of the BraTS Cluster of
Challenges https://www.synapse.org/brats2024, the goal of the BraTS-Path
challenge is to provide a systematically prepared comprehensive dataset and a
benchmarking environment to develop and fairly compare deep-learning models
capable of identifying tumor sub-regions of distinct histologic profile. These
models aim to further our understanding of the disease and assist in the
diagnosis and grading of conditions in a consistent manner.
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