An 11,000-Study Open-Access Dataset of Longitudinal Magnetic Resonance Images of Brain Metastases

TL;DR

This paper introduces a large open-access dataset of nearly 12,000 longitudinal brain MRI studies from patients with brain metastases, aiming to support AI development for improved diagnosis and treatment monitoring.

Contribution

It provides the first extensive, heterogeneous dataset of longitudinal brain MRI images with clinical metadata for brain metastases, enabling robust AI model training.

Findings

Dataset includes 11,884 MRI studies from 1,430 patients.

Paired with clinical and image metadata for comprehensive analysis.

Facilitates AI research in brain metastasis management.

Abstract

Brain metastases are a common complication of systemic cancer, affecting over 20% of patients with primary malignancies. Longitudinal magnetic resonance imaging (MRI) is essential for diagnosing patients, tracking disease progression, assessing therapeutic response, and guiding treatment selection. However, the manual review of longitudinal imaging is time-intensive, especially for patients with multifocal disease. Artificial intelligence (AI) offers opportunities to streamline image evaluation, but developing robust AI models requires comprehensive training data representative of real-world imaging studies. Thus, there is an urgent necessity for a large dataset with heterogeneity in imaging protocols and disease presentation. To address this, we present an open-access dataset of 11,884 longitudinal brain MRI studies from 1,430 patients with clinically confirmed brain metastases, paired with clinical and image metadata. The provided dataset will facilitate the development of AI models to assist in the long-term management of patients with brain metastasis.