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The University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM) Dataset

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arxiv 2109.00356 v2 pith:YLKRZI2A submitted 2021-08-30 cs.CV eess.IV

Evan Calabrese , Javier E. Villanueva-Meyer , Jeffrey D. Rudie , Andreas M. Rauschecker , Ujjwal Baid , Spyridon Bakas , Soonmee Cha , John T. Mongan
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Christopher P. Hess
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classification cs.CVeess.IV
keywords datasetdiffuseucsf-pdgmgliomaspreoperativecaliforniafranciscoglioma
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Here we present the University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM) dataset. The UCSF-PDGM dataset includes 500 subjects with histopathologically-proven diffuse gliomas who were imaged with a standardized 3 Tesla preoperative brain tumor MRI protocol featuring predominantly 3D imaging, as well as advanced diffusion and perfusion imaging techniques. The dataset also includes isocitrate dehydrogenase (IDH) mutation status for all cases and O6-methylguanine-DNA methyltransferase (MGMT) promotor methylation status for World Health Organization (WHO) grade III and IV gliomas. The UCSF-PDGM has been made publicly available in the hopes that researchers around the world will use these data to continue to push the boundaries of AI applications for diffuse gliomas.

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    NeuroMosaic links MRI regions to diagnostic language via an anatomical graph router and concept memory, reporting external macro-F1 up to 0.784, IDH AUROC 0.918, and 0.703 pointing accuracy, with a 0.036 macro-F1 gain...

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