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Glioma vessel abnormality quantification using time-of-flight MR angiography

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Magnetic Resonance Materials in Physics, Biology and Medicine Aims and scope Submit manuscript

Abstract

Objectives

To differentiate between abnormal tumor vessels and regular brain vasculature using new quantitative measures in time-of-flight (TOF) MR angiography (MRA) data.

Materials and methods

In this work time-of-flight (TOF) MR angiography data are acquired in 11 glioma patients to quantify vessel abnormality. Brain vessels are first segmented with a new algorithm, efficient monte-carlo image-analysis for the location of vascular entity (EMILOVE), and are then characterized in three brain regions: tumor, normal-appearing contralateral brain, and the total brain volume without the tumor. For characterization local vessel orientation angles and the dot product between local orientation vectors are calculated and averaged in the 3 regions. Additionally, correlation with histological and genetic markers is performed.

Results

Both the local vessel orientation angles and the dot product show a statistically significant difference (p < 0.005) between tumor vessels and normal brain vasculature. Furthermore, the connection to both histology and the gene expression of the tumor can be found—here, the measures were compared to the proliferation marker Ki-67 [MIB] and genome-wide expression analysis. The results in a subgroup indicate that the dot product measure may be correlated with activated genetic pathways.

Conclusion

It is possible to define a measure of vessel abnormality based on local vessel orientation angles which can differentiate between normal brain vasculature and glioblastoma vessels.

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Acknowledgments

This work was supported in parts by a grant from the Deutsche Forschungsgemeinschaft (DFG) under grant number HA 7006/1-1.

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Authors and Affiliations

  1. German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, Heidelberg, Germany

    Maddalena Strumia & Wilfried Reichardt

  2. University Medical Center Freiburg, Radiology-Medical Physics, Breisacher Str. 60a, 79106, Freiburg, Germany

    Maddalena Strumia, Wilfried Reichardt & Michael Bock

  3. German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg, Germany

    Maddalena Strumia & Wilfried Reichardt

  4. University Medical Center Freiburg, Neuropathology, Breisacher Str. 64, Freiburg, Germany

    Ori Staszewski

  5. University Medical Center Freiburg, Neurosurgery, Breisacher Str. 64, Freiburg, Germany

    Dieter Henrik Heiland & Astrid Weyerbrock

  6. University Medical Center Freiburg, Neuroradiology, Breisacher Str. 64, Freiburg, Germany

    Irina Mader

Authors
  1. Maddalena Strumia
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  2. Wilfried Reichardt
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  3. Ori Staszewski
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  5. Astrid Weyerbrock
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  7. Michael Bock
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Correspondence to Michael Bock.

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The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Strumia, M., Reichardt, W., Staszewski, O. et al. Glioma vessel abnormality quantification using time-of-flight MR angiography. Magn Reson Mater Phy 29, 765–775 (2016). https://doi.org/10.1007/s10334-016-0558-z

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  • DOI: https://doi.org/10.1007/s10334-016-0558-z

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