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Clinical Efficiency of an Artificial Intelligence-Based 3D-Angiography for Visualization of Cerebral Aneurysm: Comparison with the Conventional Method

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Abstract

Purpose

Artificial intelligence (AI)-based three-dimensional angiography (3D-A) was reported to demonstrate visualization of cerebral vasculature equivalent to that of three-dimensional digital subtraction angiography (3D-DSA). However, the applicability and efficacy of the AI-based 3D‑A algorithm have not yet been investigated for 3D-DSA micro imaging. In this study, we evaluated the usefulness of the AI-based 3D‑A in 3D-DSA micro imaging.

Materials and Methods

The 3D-DSA micro datasets of 20 consecutive patients with cerebral aneurysm (CA) were reconstructed with 3D-DSA and 3D‑A. Three reviewers compared 3D-DSA and 3D‑A in terms of qualitative parameters (degrees of visualization of CA and the anterior choroidal artery [AChA]) and quantitative parameters (aneurysm diameter, neck diameter, parent vessel diameter, and visible length of AChA).

Results

Qualitative evaluation of diagnostic potential revealed that visualization of CA and the proximal to middle parts of the AChA with 3D‑A was equal to that with conventional 3D-DSA; in contrast, visualization of the distal part of the AChA was lower with 3D‑A than with 3D-DSA. Further, regarding quantitative evaluation, the aneurysm diameter, neck diameter, and parent vessel diameter were comparable between 3D‑A and 3D-DSA; in contrast, the visible length of the AChA was lower with 3D‑A than with 3D-DSA.

Conclusions

The AI-based 3D‑A technique is feasible and evaluable visualization of cerebral vasculature with respect to quantitative and qualitative parameters in 3D-DSA micro imaging. However, the 3D‑A technique offers lower visualization of such as the distal portion of the AChA than 3D-DSA.

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Abbreviations

2D-DSA:

Two-dimensional digital subtraction angiography

3D‑A:

Three-dimensional angiography

3D-DSA:

Three-dimensional digital subtraction angiography

AChA:

Anterior choroidal artery

AI:

Artificial intelligence

AVM:

Arteriovenous malformation

CA:

Cerebral aneurysm

dAVF:

Dural arteriovenous fistula

ICA:

Internal carotid artery

VRT:

Volume rendering techniqu

WA:

Working angle

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Acknowledgements

The authors would like to thank Philipp Roser and Iwao Kojima for lending their expertise on the Artificial Intelligence-Based 3D-Angiography. We also gratefully acknowledge Naoki Kato, Nobuhisa Fukaya, Kazuki Ishii for your participation and help in our study.

Funding

This study was partly supported by Siemens Healthcare, K.K under a collaboration research agreement with Department of Neurosurgery, Nagoya University. The prototype software, 3D angiography was provided by Siemens Healthcare, K.K. Partial financial support was received from Siemens Healthcare, K.K.

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Authors and Affiliations

  1. Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya University, 65 Tsurumaicho, Syowa-ku, Nagoya, Japan

    Kojiro Ishikawa, Takashi Izumi, Masahiro Nishihori, Shunsaku Goto, Keita Suzuki, Kinya Yokoyama, Fumiaki Kanamori, Kenji Uda, Yoshio Araki & Ryuta Saito

  2. Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan

    Takahiro Imaizumi

Authors
  1. Kojiro Ishikawa
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  2. Takashi Izumi
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Contributions

All authors: Conceptualization; K. Ishikawa: Material preparation and data collection, Data analysis, Writing—original draft preparation; T. Imaizumi: Data analysis, Writing—review and editing; M. Nishihori: Writing—review and editing; R. Saito: Supervision; All authors have approved the submitted version of the manuscript and agreed to be accountable for any part of the work.

Corresponding author

Correspondence to Takashi Izumi.

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Conflict of interest

K. Ishikawa, T. Izumi, M. Nishihori, T. Imaizumi, S. Goto, K. Suzuki, K. Yokoyama, F. Kanamori, K. Uda, Y. Araki and R. Saito declarethat they have no competing interests.

Ethical standards

All procedures performed in studies involving human participants or on human tissue were in accordance with the ethical standards of the institutional and/or national research committee and with the 1975 Helsinki declaration and its later amendments or comparable ethical standards. The study protocol was approved by the local intuitional review board of Nagoya University (2016-0194). Informed consent was obtained from all individual participants included in the study.

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syngo Dyna4D (X-Workplace VD20, Siemens Healthcare, GmbH, Forchheim Germany)

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Ishikawa, K., Izumi, T., Nishihori, M. et al. Clinical Efficiency of an Artificial Intelligence-Based 3D-Angiography for Visualization of Cerebral Aneurysm: Comparison with the Conventional Method. Clin Neuroradiol 33, 1143–1150 (2023). https://doi.org/10.1007/s00062-023-01325-8

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