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Related Experiment Video

Updated: Jun 3, 2025

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
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Analyzing temporal imaging patterns in acute ischemic stroke via DICOM-timestamps.

Alexander Rau1, Marco Reisert2, Benedikt Frank3

  • 1Department of Neuroradiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, 79106, Freiburg, Germany.

Scientific Reports
|January 8, 2025
PubMed
Summary

Automated DICOM timestamps offer reliable data for acute stroke management research and quality control. This study shows consistent daily patterns in stroke imaging, with vessel occlusions peaking earlier than non-occlusions.

Keywords:
Acute ischemic strokeDICOM-timestampsProcess management

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Area of Science:

  • Neurology
  • Radiology
  • Health Informatics

Background:

  • Acute stroke care requires precise timing for effective treatment and quality assessment.
  • Current clinical practice often captures time-sensitive data unreliably.
  • Digital Imaging and Communications in Medicine (DICOM) format offers automatically captured timestamps.

Purpose of the Study:

  • To evaluate the utility of automatically captured DICOM timestamps for analyzing temporal patterns in acute stroke imaging.
  • To compare stroke imaging time distributions across different stroke centers and occlusion types.
  • To assess the feasibility of using DICOM timestamps for quality control and research in stroke management.

Main Methods:

  • Analysis of image-based time data from DICOM files across two stroke centers.
  • Inclusion of data from large-vessel-occlusion (LVO), medium-vessel-occlusion (MVO), and no-occlusion (NVO) groups.
  • Comparison of DICOM StudyTime tags with manually documented onset and admission times.
  • Development of a probabilistic model to illustrate stroke occurrence patterns.

Main Results:

  • Consistent temporal distribution of scan times observed across both centers, peaking around noon.
  • Vessel occlusion groups exhibited an earlier peak in scan times compared to non-occlusion groups (p < 0.04).
  • Median admission-to-scan time was 23 minutes; median onset-to-imaging time was 1 hour 54 minutes.

Conclusions:

  • DICOM timestamps provide a reliable and automatically captured data source for stroke imaging research.
  • Automated timestamp analysis can reveal significant temporal patterns in stroke incidence and management.
  • This method holds promise for enhancing quality control and advancing stroke research without manual data collection burdens.