Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019 (ICPSR 38464)

Version Date: Dec 12, 2022

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Principal Investigator(s):
Andreia V. Faria, Johns Hopkins University

https://doi.org/10.3886/ICPSR38464.v5

Version V5 ()

  • V5 [2022-12-12]
  • V4 [2022-12-07] unpublished
  • V3 [2022-12-05] unpublished
  • V2 [2022-10-19] unpublished
  • V1 [2022-05-16] unpublished
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Summary

This is a collection of 2,888 clinical MRIs of patients admitted at a National Stroke Center, over ten years, with clinical diagnosis of acute or early subacute stroke. The collection includes diverse MRI modalities and protocols. The infarct core was manually defined in the diffusion weighted images; the images are provided in native subject space and in standard space (MNI), in Neuroimaging Informatics Technology Initiative (NIfTI) format. The data format and organization follows Brain Imaging Data Structure (BIDS) guidelines. The collection includes diverse metadata, comprised of demographic information, basic clinical profile (NIH Stroke Scale/Score (NIHSS), hospitalization duration, blood pressure at admission, BMI, and associated health conditions), and expert description of the acute lesion. This resource provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor, such as lesion segmentation, labeling, calculation of disease-relevant scores, and lesion-based studies relating function to frequency lesion maps.

The dataset is divided in folders with 60-70 subjects. Each folder contains the "raw data" (multimodal MRIs, in native space), "DWI-mask" (manually-defined lesion masks, brain masks, and 3D DWI, b0, and recalculated ADC), "DWI-MNI-IntensityNormalized" (DWI and lesion masks in MNI coordinates), and "phenotype" (individual ".tsv" files with metadata of each subject). The "templates" folder contains images averages and lesion frequency maps. The "documentation" contains comprehensive data documentation, the phenotypes of the whole dataset, and the data dictionary.

Citation

Faria, Andreia V. Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019. Inter-university Consortium for Political and Social Research [distributor], 2022-12-12. https://doi.org/10.3886/ICPSR38464.v5

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Subject Terms

Geographic Coverage

Restrictions

Access to these data is restricted. Users interested in obtaining these data must complete a Restricted Data Use Agreement, specify the reason for the request, and obtain IRB approval or notice of exemption for their research.

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

2009-01-01 -- 2019-12-31

Date of Collection

2009-01-01 -- 2019-12-31

Data Collection Notes

  1. In addition to the ICPSR citation, users are asked to cite the publication in which these data are described. Please use the following citation:

    Liu, CF., Leigh, R., Johnson, B. et al. A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke. Sci Data 10, 548 (2023). https://doi.org/10.1038/s41597-023-02457-9.

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Study Purpose

The purpose of the study was to provide high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor, such as lesion segmentation, labeling, calculation of disease-relevant scores, and lesion-based studies relating function to frequency lesion maps.

Time Method

Cross-sectional

Unit(s) of Observation

Individual

Data Source

clinical MRIs of patients admitted at a National Stroke Center

Data Type(s)

Mode of Data Collection

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Original Release Date

2022-05-16

Version History

2022-12-12 Removing file from pkg38464-0001_documentation.zip.

2022-12-07 Making PI readme available for public download.

2022-12-05 Updating zip packages and README.

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Notes

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

  • One or more files in this data collection have special restrictions. Restricted data files are not available for direct download from the website; click on the Restricted Data button to learn more.