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The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
Abstract:
Meningiomas are the most common primary intracranial tumor in adults and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on multiparametric MRI (mpMRI) for diagnosis, treatment planning, and longitudinal treatment monitoring; yet automated, objective, and quantitative tools for non-invasive assessment of meningiomas on mpMRI are lacking. The BraTS meningioma 2023 challenge will provide a community standard and benchmark for state-of-the-art automated intracranial meningioma segmentation models based on the largest expert annotated multilabel meningioma mpMRI dataset to date. Challenge competitors will develop automated segmentation models to predict three distinct meningioma sub-regions on MRI including enhancing tumor, non-enhancing tumor core, and surrounding nonenhancing T2/FLAIR hyperintensity. Models will be evaluated on separate validation and held-out test datasets using standardized metrics utilized across the BraTS 2023 series of challenges including the Dice similarity coefficient and Hausdorff distance. The models developed during the course of this challenge will aid in incorporation of automated meningioma MRI segmentation into clinical practice, which will ultimately improve care of patients with meningioma.
Insights
Automated tools for analyzing brain tumors called meningiomas on MRI are needed. The BraTS 2023 challenge aims to develop advanced segmentation models for better meningioma assessment and patient care.
Area of Science:
- Neuro-oncology
- Medical Imaging
- Artificial Intelligence
Background:
- Meningiomas are the most common primary brain tumors in adults, causing significant morbidity and mortality.
- Current clinical practice relies on multiparametric MRI (mpMRI) for diagnosis and monitoring, but lacks automated, quantitative assessment tools.
- There is a need for objective, non-invasive methods to evaluate meningiomas using mpMRI.
Approach:
- The BraTS meningioma 2023 challenge introduces a large, expert-annotated dataset for developing automated meningioma segmentation models.
- Competitors will build models to segment three key meningioma sub-regions: enhancing tumor, non-enhancing core, and peritumoral T2/FLAIR hyperintensity.
- Models will be evaluated using standardized metrics like Dice similarity coefficient and Hausdorff distance on validation and test sets.
Key Points:
- The challenge benchmarks state-of-the-art automated intracranial meningioma segmentation.
- It utilizes the largest expert-annotated multilabel meningioma mpMRI dataset to date.
- Focuses on segmenting enhancing tumor, non-enhancing core, and peritumoral hyperintensity.
Conclusions:
- The developed automated segmentation models are expected to integrate into clinical practice.
- This integration will enhance the non-invasive assessment and monitoring of meningiomas.
- Ultimately, improved patient care for individuals with meningioma is anticipated.
