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03.07.2023 | Original Article

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

verfasst von: Kojiro Ishikawa, Takashi Izumi, Masahiro Nishihori, Takahiro Imaizumi, Shunsaku Goto, Keita Suzuki, Kinya Yokoyama, Fumiaki Kanamori, Kenji Uda, Yoshio Araki, Ryuta Saito

Erschienen in: Clinical Neuroradiology | Ausgabe 4/2023

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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.

Wong SC, Nawawi O, Ramli N, Kadir AKA. Benefits of 3D rotational DSA compared with 2D DSA in the evaluation of intracranial aneurysm. Acad Radiol. 2012;19:701–7. https://doi.org/10.1016/j.acra.2012.02.012.CrossRefPubMed

van Rooij WJ, Sprengers ME, de Gast AN, Peluso JP, Sluzewski M. 3D rotational angiography: the new gold standard in the detection of additional intracranial aneurysms. AJNR Am J Neuroradiol. 2008;29:976–9. https://doi.org/10.3174/ajnr.A0964.CrossRefPubMedPubMedCentral

Lauriola W, Nardella M, Strizzi V, Cali A, D’Angelo V, Florio F. 3D angiography in the evaluation of intracranial aneurysms before and after treatment. Initial experience. Radiol Med. 2005;109:98–107.PubMed

Anxionnat R, Bracard S, Ducrocq X, Trousset Y, Launay L, Kerrien E, et al. Intracranial aneurysms: clinical value of 3D digital subtraction angiography in the therapeutic decision and endovascular treatment. Radiology. 2001;218:799–808. https://doi.org/10.1148/radiology.218.3.r01mr09799.CrossRefPubMed

Missler U, Hundt C, Wiesmann M, Mayer T, Brückmann H. Three-dimensional reconstructed rotational digital subtraction angiography in planning treatment of intracranial aneurysms. Eur Radiol. 2000;10:564–8. https://doi.org/10.1007/s003300050961.CrossRefPubMed

Tanoue S, Kiyosue H, Kenai H, Nakamura T, Yamashita M, Mori H. Three-dimensional reconstructed images after rotational angiography in the evaluation of intracranial aneurysms: surgical correlation. Neurosurgery. 2000;47:866–71. https://doi.org/10.1097/00006123-200010000-00016.CrossRefPubMed

Montoya JC, Li Y, Strother C, Chen GH. 3D deep learning angiography (3D-DLA) from C‑arm conebeam CT. AJNR Am J Neuroradiol. 2018;39:916–22. https://doi.org/10.3174/ajnr.A5597.CrossRefPubMedPubMedCentral

Lang S, Hoelter P, Schmidt M, Eisenhut F, Kaethner C, Kowarschik M, et al. Evaluation of an artificial intelligence-based 3D-angiography for visualization of cerebral vasculature. Clin Neuroradiol. 2020;30:705–12. https://doi.org/10.1007/s00062-019-00836-7.CrossRefPubMed

Lang S, Hoelter P, Schmidt M, Strother C, Kaethner C, Kowarschik M, et al. Artificial intelligence-based 3D angiography for visualization of complex cerebrovascular pathologies. Ajnr Am J Neuroradiol. 2021;42:1762–8. https://doi.org/10.3174/ajnr.A7252.CrossRefPubMedPubMedCentral

10.

Goodfellow I, Bengio Y, Courville A. Deep learning. 1st ed. Cambridge: MIT Press; 2016.

11.

Fleiss JL. Measuring nominal scale agreement among many raters. Psychol Bull. 1971;76:378–82. https://doi.org/10.1037/h0031619.CrossRef

12.

Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86:420–8. https://doi.org/10.1037/0033-2909.86.2.420.CrossRefPubMed

13.

Kim DJ, Park MK, Jung DE, Kang JH, Kim BM. Radiation dose reduction without compromise to image quality by alterations of filtration and focal spot size in cerebral angiography. Korean J Radiol. 2017;18:722–8. https://doi.org/10.3348/kjr.2017.18.4.722.CrossRefPubMedPubMedCentral

14.

Pearl MS, Torok CM, Messina SA, Radvany M, Rao SN, Ehtiati T, et al. Reducing radiation dose while maintaining diagnostic image quality of cerebral three-dimensional digital subtraction angiography: an in vivo study in swine. J Neurointerv Surg. 2014;6:672–6. https://doi.org/10.1136/neurintsurg-2013-010914.CrossRefPubMed

15.

Pearl MS, Torok C, Katz Z, Messina SA, Blasco J, Tamargo RJ, et al. Diagnostic quality and accuracy of low dose 3D-DSA protocols in the evaluation of intracranial aneurysms. J Neurointerv Surg. 2015;7:386–90. https://doi.org/10.1136/neurintsurg-2014-011137.CrossRefPubMed

16.

Raabe A, Beck J, Rohde S, Berkefeld J, Seifert V. Three-dimensional rotational angiography guidance for aneurysm surgery. J Neurosurg. 2006;105:406–11. https://doi.org/10.3171/jns.2006.105.3.406.CrossRefPubMed

17.

Hirai T, Korogi Y, Suginohara K, Ono K, Nishi T, Uemura S, et al. Clinical usefulness of unsubtracted 3D digital angiography compared with rotational digital angiography in the pretreatment evaluation of intracranial aneurysms. Ajnr Am J Neuroradiol. 2003;24:1067–74.PubMedPubMedCentral

18.

Li TF, Ma J, Han XW, Fu PJ, Niu RN, Luo WZ, et al. Application of high-resolution C‑arm CT combined with streak metal artifact removal technology for the stent-assisted embolization of intracranial aneurysms. Ajnr Am J Neuroradiol. 2019;40:1752–8. https://doi.org/10.3174/ajnr.A6190.CrossRefPubMedPubMedCentral

19.

Griessenauer CJ, Shallwani H, Adeeb N, Gupta R, Rangel-Castilla L, Siddiqui AH, et al. Conscious sedation versus general anesthesia for the treatment of cerebral aneurysms with flow diversion: a matched cohort study. World Neurosurg. 2017;102:1–5. https://doi.org/10.1016/j.wneu.2017.02.111.CrossRefPubMed

20.

Rajbhandari S, Matsukawa H, Uchida K, Shirakawa M, Yoshimura S. Clinical results of flow diverter treatments for cerebral aneurysms under local anesthesia. Brain Sci. 2022;12:1076. https://doi.org/10.3390/brainsci12081076.CrossRefPubMedPubMedCentral

21.

Chamczuk AJ, Ogilvy CS, Snyder KV, Ohta H, Siddiqui AH, Hopkins LN, et al. Elective stenting for intracranial stenosis under conscious sedation. Neurosurgery. 2010;67:1189–93. https://doi.org/10.1227/NEU.0b013e3181efbcac. discussion 1194.CrossRefPubMed

Titel: Clinical Efficiency of an Artificial Intelligence-Based 3D-Angiography for Visualization of Cerebral Aneurysm: Comparison with the Conventional Method
verfasst von: Kojiro Ishikawa
Takashi Izumi
Masahiro Nishihori
Takahiro Imaizumi
Shunsaku Goto
Keita Suzuki
Kinya Yokoyama
Fumiaki Kanamori
Kenji Uda
Yoshio Araki
Ryuta Saito
Publikationsdatum: 03.07.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Clinical Neuroradiology / Ausgabe 4/2023
Print ISSN: 1869-1439
Elektronische ISSN: 1869-1447
DOI: https://doi.org/10.1007/s00062-023-01325-8

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