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Hemodynamic vascular biomarkers for initiation of paraclinoid internal carotid artery aneurysms using patient-specific computational fluid dynamic simulation based on magnetic resonance imaging

  • Interventional Neuroradiology
  • Published:
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Abstract

Purpose

We performed computational fluid dynamics (CFD) for patients with and without paraclinoid internal carotid artery (ICA) aneurysms to evaluate the distribution of vascular biomarkers at the aneurysm initiation sites of the paraclinoid ICA.

Methods

This study included 35 patients who were followed up for aneurysms using 3D time of flight (TOF) magnetic resonance angiography (MRA) and 3D cine phase-contrast MR imaging. Fifteen affected ICAs were included in group A with the 15 unaffected contralateral ICAs in group B. Thirty-three out of 40 paraclinoid ICAs free of aneurysms and arteriosclerotic lesions were included in group C. We deleted the aneurysms in group A based on the 3D TOF MRA dataset. We performed CFD based on MR data set and obtained wall shear stress (WSS), its derivatives, and streamlines. We qualitatively evaluated their distributions at and near the intracranial aneurysm initiation site among three groups. We also calculated and compared the normalized highest (nh-) WSS and nh-spatial WSS gradient (SWSSG) around the paraclinoid ICA among three groups.

Results

High WSS and SWSSG distribution were observed at and near the aneurysm initiation site in group A. High WSS and SWSSG were also observed at similar locations in group B and group C. However, nh-WSS and nh-SWSSG were significantly higher in group A than in group C, and nh-SWSSG was significantly higher in group A than in group B.

Conclusion

Our findings indicated that nh-WSS and nh-SWSSG were good biomarkers for aneurysm initiation in the paraclinoid ICA.

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Acknowledgments

We thank Marcus T. Alley, PhD, for allowing us to use 3D cine PC MRI developed at Stanford University.

Author information

Authors and Affiliations

  1. Department of Radiological and Medical Laboratory Sciences, Nagoya University Graduate School of Medicine, 1-20, Daikominami 1-chome, Higashi-ku, Nagoya, Aichi, 461-8673, Japan

    Tomoya Watanabe & Haruo Isoda

  2. Division of Clinical Radiology Service, Kyoto University Hospital, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan

    Tomoya Watanabe

  3. Brain & Mind Research Center, Nagoya University, 1-20, Daikominami 1-chome, Higashi-ku, Nagoya, Aichi, 461-8673, Japan

    Haruo Isoda

  4. Department of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya University, Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8550, Japan

    Yasuo Takehara

  5. Department of Radiology, Hamamatsu University Hospital, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan

    Yasuo Takehara

  6. Department of Diagnostic Radiological Technology, Iwata City Hospital, 512-3 Okubo, Iwata, Shizuoka, 438-8550, Japan

    Masaki Terada

  7. Department of Neurosurgery, Komaki City Hospital, 1-20 Jobushi, Komaki, Aichi, 485-8520, Japan

    Takehiro Naito

  8. Department of Neurosurgery, Iwata City Hospital, 512-3 Okubo, Iwata, Shizuoka, 438-8550, Japan

    Takehiro Naito & Chiharu Tanoi

  9. Renaissance of Technology Corporation, 1-4-10 Shinmiyakoda Kita-ku, Hamamatsu, Shizuoka, 431-2103, Japan

    Takafumi Kosugi

  10. Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, 2-12-1-W8-36, O-okayama, Meguro-ku, Tokyo, 152-8550, Japan

    Yuki Onishi

  11. Department of Neurosurgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8550, Japan

    Takashi Izumi

Authors
  1. Tomoya Watanabe
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  2. Haruo Isoda
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  3. Yasuo Takehara
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  4. Masaki Terada
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  5. Takehiro Naito
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  6. Takafumi Kosugi
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  7. Yuki Onishi
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  8. Chiharu Tanoi
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  9. Takashi Izumi
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Corresponding author

Correspondence to Haruo Isoda.

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Funding

This study was funded by the JSPS KAKENHI (Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research) (Grant Number 25293264).

Conflict of interest

Takafumi Kosugi is an employee of Renaissance of Technology Corporation, Hamamatsu, Japan.

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.

Informed consent

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

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Watanabe, T., Isoda, H., Takehara, Y. et al. Hemodynamic vascular biomarkers for initiation of paraclinoid internal carotid artery aneurysms using patient-specific computational fluid dynamic simulation based on magnetic resonance imaging. Neuroradiology 60, 545–555 (2018). https://doi.org/10.1007/s00234-018-2002-8

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  • DOI: https://doi.org/10.1007/s00234-018-2002-8

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