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A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease

Authors
  • Frey, Dietmar1, 2
  • Livne, Michelle1
  • Leppin, Heiko1
  • Akay, Ela M.1, 2
  • Aydin, Orhun U.1, 2
  • Behland, Jonas1, 2
  • Sobesky, Jan3, 2
  • Vajkoczy, Peter2
  • Madai, Vince I.1, 4
  • 1 Charité University Medicine Berlin, Chariteplatz 1, Berlin, 10115, Germany , Berlin (Germany)
  • 2 Charité University Medicine Berlin, Berlin, Germany , Berlin (Germany)
  • 3 Johanna Etienne Hospital Neuss, Berlin, Germany , Berlin (Germany)
  • 4 Birmingham City University, Birmingham, UK , Birmingham (United Kingdom)
Type
Published Article
Journal
BioMedical Engineering OnLine
Publisher
Springer (Biomed Central Ltd.)
Publication Date
May 01, 2021
Volume
20
Issue
1
Identifiers
DOI: 10.1186/s12938-021-00880-w
Source
Springer Nature
Keywords
License
Green

Abstract

BackgroundCerebrovascular disease, in particular stroke, is a major public health challenge. An important biomarker is cerebral hemodynamics. To measure and quantify cerebral hemodynamics, however, only invasive, potentially harmful or time-to-treatment prolonging methods are available.ResultsWe present a simulation-based approach which allows calculation of cerebral hemodynamics based on the patient-individual vessel configuration derived from structural vessel imaging. For this, we implemented a framework allowing segmentation and annotation of brain vessels from structural imaging followed by 0-dimensional lumped simulation modeling of cerebral hemodynamics. For annotation, a 3D-graphical user interface was implemented. For 0D-simulation, we used a modified nodal analysis, which was adapted for easy implementation by code. The simulation enables identification of areas vulnerable to stroke and simulation of changes due to different systemic blood pressures. Moreover, sensitivity analysis was implemented allowing the live simulation of changes to simulate procedures and disease progression. Beyond presentation of the framework, we demonstrated in an exploratory analysis in 67 patients that the simulation has a high specificity and low-to-moderate sensitivity to detect perfusion changes in classic perfusion imaging.ConclusionsThe presented precision medicine approach using novel biomarkers has the potential to make the application of harmful and complex perfusion methods obsolete.

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