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Initial clinical experience of a prototype ultra-high-resolution CT for assessment of small intracranial arteries

  • Hiroyuki NagataEmail author
  • Kazuhiro Murayama
  • Shigetaka Suzuki
  • Ayumi Watanabe
  • Motoharu Hayakawa
  • Yasuo Saito
  • Kazuhiro Katada
  • Hiroshi Toyama
Original Article
  • 11 Downloads

Abstract

Purpose

Diagnostic and neurosurgical procedures require the precise localization of small intracranial arteries, but this may be difficult using conventional computed tomography angiography (CTA). This study was conducted to evaluate the quality of CTA images acquired using a prototype ultra-high-resolution computed tomography (U-HRCT) system compared with those acquired using a conventional computed tomography (C-CT) system.

Materials and methods

From July through September 2015, 10 adult patients (6 women and 4 men) previously scanned by C-CT were examined using U-HRCT to locate and assess cerebral aneurysms. The bilateral ophthalmic artery (Opth A), anterior choroidal artery (Acho A), and thalamoperforating arteries (TPAs) were visually evaluated in randomly presented CTA images. Images were graded on a 5-point scale, and differences in scores between U-HRCT and C-CT were evaluated by the Wilcoxon signed-rank test. A p value < 0.05 was considered statistically significant.

Results

Visual evaluation scores for images of the Opth A, Acho A, and TPAs were significantly higher for U-HRCT than for C-CT. U-HRCT images achieved good visualization (score > 3) for C-CT images with poor visualization (score < 3) in 66.7–100% of all the small arteries.

Conclusion

U-HRCT is superior to C-CT for detecting and evaluating clinically significant small intracranial arteries.

Keywords

Ultra-high-resolution computed tomography Small intracranial arteries Computed tomography angiography 

Notes

Funding

We received no financial support for this review article.

Compliance with ethical standards

Conflict of interest

Yasuo Saito is employees of Canon Medical Systems Corporation. Kazuhiro Katada is an advisor of Canon Medical Systems Corporation. The remaining authors declare that they have no conflict of interest.

Ethical statement

This article does not contain any studies with human participants or animals performed by any of the authors. This study received the approval of the institutional review board of our hospital.

References

  1. 1.
    Rhoton AL Jr, Fujii K, Fradd B. Microsurgical anatomy of the anterior choroidal artery. Surg Neurol. 1979;12(2):171–87.Google Scholar
  2. 2.
    Rosner SS, Rhoton AL Jr, Ono M, Barry M. Microsurgical anatomy of the anterior perforating arteries. J Neurosurg. 1984;61:468–85.CrossRefGoogle Scholar
  3. 3.
    Segarra JM. Cerebral vascular disease and behavior. I. The syndrome of the mesencephalic artery (basilar artery bifurcation). Arch Neurol. 1970;22:408–18.CrossRefGoogle Scholar
  4. 4.
    Castaigne P, Lhermitte F, Buge A, Escourolle R, Hauw JJ, Lyon-Caen O. Paramedian thalamic and mid brain infarct: clinical and neuropathological study. Ann Neurol. 1981;10:127–48.CrossRefGoogle Scholar
  5. 5.
    Lazzaro NA, Wright B, Castillo M, Fischbein NJ, Glastonbury CM, et al. Artery of percheron infarction: imaging patterns and clinical spectrum. AJNR Am J Neuroradiol. 2010;31:1283–9.CrossRefGoogle Scholar
  6. 6.
    Kakinuma R, Moriyama N, Muramatsu Y, Gomi S, Suzuki M, Nagasawa H, et al. Ultra-high-resolution computed tomography of the lung: image quality of a prototype scanner. PLoS ONE. 2015;10:e0137165.CrossRefGoogle Scholar
  7. 7.
    Zhu H, Zhang L, Wang Y, Hamal P, You X, Mao H, et al. Improved image quality and diagnostic potential using ultra-high-resolution computed tomography of the lung with small scan FOV: a prospective study. PLoS ONE. 2017;12:e0172688.CrossRefGoogle Scholar
  8. 8.
    Sheshadri A, Rodriguez A, Chen R, Kozlowski J, Burgdorf D, Koch T, et al. Effect of reducing field of view on multidetector quantitative computed tomography parameters of airway wall thickness in asthma. J Comput Assist Tomogr. 2015;39:584–90.CrossRefGoogle Scholar
  9. 9.
    Hata A, Yanagawa M, Honda O, Kikuchi N, Miyata T, Tsukagoshi S, et al. Effect of matrix size on the image quality of ultra-high-resolution CT of the lung: comparison of 512 × 512, 1024 × 1024, and 2048 × 2048. Acad Radiol. 2018;25:869–76.CrossRefGoogle Scholar
  10. 10.
    Yoshioka K, Tanaka R, Takagi H, Ueyama Y, Kikuchi K, Chiba T, et al. Ultra-high-resolution CT angiography of the artery of Adamkiewicz: a feasibility study. Neuroradiology. 2018;60:109–15.CrossRefGoogle Scholar
  11. 11.
    Matsuki M, Murakami T, Juri H, Yoshikawa S, Narumi Y. Impact of adaptive iterative dose reduction (AIDR) 3D on low-dose abdominal CT: comparison with routine-dose CT using filtered back projection. Acta Radiol. 2013;54:869–75.CrossRefGoogle Scholar
  12. 12.
    Moscariello A, Takx RA, Schoepf UJ, Renker M, Zwerner PL, O’Brien TX, et al. CoronaryCT angiography: image quality, diagnostic accuracy, and potential for radiation dose reduction using a novel iterative image reconstruction technique-comparison with traditional filtered back projection. EurRadiol. 2011;21:2130–8.Google Scholar
  13. 13.
    Singh S, Kalra MK, Gilman MD, Hsieh J, Pien HH, Digumarthy SR, et al. Adaptivestatisticaliterativereconstructiontechnique for radiation dose reduction in chest CT: a pilot study. Radiology. 2011;259:565–73.CrossRefGoogle Scholar
  14. 14.
    Kalra MK, Woisetschläger M, Dahlström N, Singh S, Lindblom M, Choy G, et al. Radiationdosereduction with Sinogram Affirmed Iterative Reconstruction technique for abdominal computed tomography. J Comput Assist Tomogr. 2012;36(3):339–46.CrossRefGoogle Scholar
  15. 15.
    Brinjikji W, Murad MH, Lanzino G, Cloft HJ, Kallmes DF. Endovascular treatment of intracranial aneurysms with flow diverters: a meta-analysis. Stroke. 2013;44:442–7.CrossRefGoogle Scholar
  16. 16.
    Heiskanen O. Risks of surgery for unruptured intracranial aneurysms. J Neurosurg. 1986;65:451–3.CrossRefGoogle Scholar
  17. 17.
    Cao W, Dong Q, Li L, Dong Y. Bilateral thalamic infarction and DSA demonstrated AOP after thrombosis. Acta Radiol Short Rep. 2012.  https://doi.org/10.1258/arsr.2012.110004.Google Scholar
  18. 18.
    Griessenauer CJ, Loukas M, Tubbs RS, Cohen-Gadol AA. The artery of Percheron: an anatomic study with potential neurosurgical and neuroendovascular importance. Br J Neurosurg. 2014;28:81–5.CrossRefGoogle Scholar
  19. 19.
    Kocaeli H, Yilmazlar S, Kuytu T, Korfalı E. The artery of Percheron revisited: a cadaveric anatomical study. Acta Neurochir (Wien). 2013;155:533–9.CrossRefGoogle Scholar
  20. 20.
    Marinković S, Gibo H, Brigante L, Nikodijević I, Petrović P. The surgical anatomy of the perforating branches of the anterior choroidal artery. Surg Neurol. 1999;52(1):30–6.CrossRefGoogle Scholar
  21. 21.
    Saeki N, Rhoton AL Jr. Microsurgical anatomy of the upper basilar artery and the posterior circle of Willis. J Neurosurg. 1977;46(5):563–78.CrossRefGoogle Scholar
  22. 22.
    Kim SH, Yeo DK, Shim JJ, Yoon SM, Chang JC, Bae HG. Morphometric study of the anterior thalamoperforating arteries. J Korean Neurosurg Soc. 2015;57(5):350–8.CrossRefGoogle Scholar

Copyright information

© Japan Radiological Society 2019

Authors and Affiliations

  1. 1.Department of RadiologyFujita Health UniversityToyoakeJapan
  2. 2.Department of NeurosurgeryFujita Health UniversityToyoakeJapan
  3. 3.CT Systems DivisionCanon Medical Systems CorporationTochigiJapan
  4. 4.Joint Research Laboratory of Advanced Medical ImagingFujita Health UniversityToyoakeJapan

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