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The usefulness of full-iterative reconstruction algorithm for the visualization of cystic artery on CT angiography

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A Correction to this article was published on 01 April 2020

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Abstract

Purpose

To evaluate the potential of full-iterative reconstruction (IR) for improving image quality of the cystic artery on CT angiography and to assess observer performance.

Methods

Thirty patients who underwent both liver dynamic CT and conventional angiography were included in this retrospective study. All CT data were reconstructed through filtered back projection (FBP), adaptive iterative dose reduction 3D (AIDR3D), and forward-projected, model-based, iterative reconstruction solution (FIRST), respectively. In objective study, we analyzed mean ΔCT numbers (the difference between the HU peak of the vessel and the background) and full-width at tenth-maximum (FWTM) of three parts of the cystic artery by profile curve method comparing the three reconstructions. Subjectively, visualization was evaluated using a four-point scale performed by two blinded observers. ANOVA was used for statistical analysis.

Results

In all parts of the cystic artery, the mean ΔCT number of FIRST was shown to be significantly better than that of FBP and AIDR3D (p < 0.05). FWTM in FIRST was the smallest in all of the vessels. The mean visualization score was significantly better with FIRST than with other CT reconstructions (p < 0.05).

Conclusions

The FIRST algorithm led to improved CTA visualization of the cystic artery.

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  • 01 April 2020

    The authors wish to replace the Table 1.

References

  1. Halvorsen JF, Myking AO. The arterial supply and venous drainage of the gall-bladder. A study of one hundred autopsies. Acta Chir Scand. 1971;137:659–64.

    CAS  PubMed  Google Scholar 

  2. Hugh TB, Kelly MD, Li B. Laparoscopic anatomy of the cystic artery. Am J Surg. 1992;163:593–5.

    Article  CAS  Google Scholar 

  3. Malagari K, Pomoni M, Spyridopoulos TN, Moschouris H, Kelekis A, Dourakis S, et al. Safety profile of sequential transcatheter chemoembolization with DC bead TM: results of 237 hepatocellular carcinoma (HCC) patients. Cardiovasc Intervent Radiol. 2011;34:774–85.

    Article  Google Scholar 

  4. Torres K, Chrościcki A, Golonka A, Torres A, Staśkiewics G, Palczak R, et al. The course of the cystic artery during laparoscopic cholecystectomy. Folia Morphol. 2009;68(3):140–3.

    CAS  Google Scholar 

  5. Ding YM, Wang B, Wang WX, Wang P, Yan JS. New classification of the anatomic variations of cystic artery during laparoscopic cholecystectomy. World J Gastroenterol. 2007;13(42):5629–34.

    Article  Google Scholar 

  6. Padole A, Ali Khawaja RD, Kalra M, Singh S. CT radiation dose and iterative reconstruction techniques. AJR. 2015;204:384–92.

    Article  Google Scholar 

  7. Den Harder AM, Willemink MJ, De Ruiter QM, De Jong PA, Schiham AM, Krestin GP, et al. Dose reduction with iterative reconstruction for coronary CT angiography: a systematic review and meta-analysis. Br J Radiol. 2016;89:20150068.

    Article  Google Scholar 

  8. Leipsic JL, Heilbron BG, Hague C. Iterative reconstruction for coronary CT angiography: finding its way. Int J Cardiovasc Imaging. 2012;28:613–20.

    Article  Google Scholar 

  9. Den Harder AM, Willemink MJ, De Ruiter QM, Schiham AM, Krestin GP, Leiner T, et al. Achievable dose reduction using iterative reconstruction for chest computed tomography: a systematic review. Eur J Radiol. 2015;84:2307–13.

    Article  Google Scholar 

  10. Maeda E, Tomizawa N, Kanno S, Yasaka K, Kubo T, Ino K, et al. The feasibility of forward-projected model-based iterative reconstruction solution (FIRST) for coronary 320-row computed tomography angiography: a pilot study. J Cardiovasc Comput Tomogr. 2017;11(1):40–5.

    Article  Google Scholar 

  11. Ohno Y, Yaguchi A, Okazaki T, Aoyagi K, Yamagata H, Sugihara N, et al. Comparative evaluation of newly developed modelbased and commercially available hybrid-type iterative reconstruction methods and filter back projection method in terms of accuracy of computer-aided volumetry (CADv) for low-dose CT protocols in phantom study. Eur J Radiol. 2016;85(8):1375–82.

    Article  Google Scholar 

  12. Tatsugami F, Higaki T, Sakane H, Fukumoto W, Kaichi Y, Iida M, et al. Coronary artery stent evaluation with model-based iterative reconstruction at coronary CT angiography. Acad Radiol. 2017;24(8):975–81.

    Article  Google Scholar 

  13. Scheffel H, Stolzmann P, Schlett CL, Engel LC, Major GP, Károlyi M, et al. Coronary artery plaques: cardiac CT with model-based and adaptive-statistical iterative reconstruction technique. Eur J Radiol. 2012;81(3):e363–9.

    Article  Google Scholar 

  14. Katsura M, Matsuda I, Akahane M, Sato J, Akai H, Yasaka K, et al. Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique. Eur Radiol. 2012;22(8):1613–23.

    Article  Google Scholar 

  15. Nishida J, Kitagawa K, Nagata M, Yamazaki A, Nagasawa N, Sakuma H. Model-based iterative reconstruction for MultiDetector row CT assessment of the adamkiewicz artery. Radiology. 2014;270(1):282–91.

    Article  Google Scholar 

  16. Tsukada J, Yamada M, Yamada Y, Yamazaki S, Imanishi N, Tamura K, et al. Comparison of the diagnostic accuracy of FBP, ASiR, and MBIR reconstruction during CT angiography in the evaluation of a vessel phantom with calcified stenosis in a distal superficial femoral artery in a cadaver extremity. Medicine. 2016;95(27):e4127.

    Article  CAS  Google Scholar 

  17. Niesten JM, van der Schaaf IC, Vos PC, Willemink MJ, Velthuis BK. Improving head and neck CTA with hybrid and model-based iterative reconstruction techniques. Clin Radiol. 2015;70:1252–9.

    Article  CAS  Google Scholar 

  18. Koc G, Courtier JL, Phelps A, Marcovici PA, MacKenzie JD. Computed tomography depiction of small pediatric vessels with model-based iterative reconstruction. Pediatr Radiol. 2014;44:787–94.

    Article  Google Scholar 

  19. Wu R, Hori M, Onishi H, Nakamoto A, Fukui H, Ota T, et al. Effects of reconstruction technique on the quality of abdominal CT angiography: a comparison between forward projected model-based iterative reconstruction solution (FIRST) and conventional reconstruction methods. Eur J Radiol. 2018;106:100–5.

    Article  Google Scholar 

  20. Thibault JB, Sauer KD, Bouman CA, Hsieh J. A three-dimensional statistical approach to improved image quality for multislice helical CT. Med Phys. 2007;34:4526–44.

    Article  Google Scholar 

  21. Shuman WP, Green DE, Busey JM, Kolokythas O, Mitsumori LM, Koprowicz KM, et al. Model-based iterative reconstruction versus adaptive statistical iterative reconstruction and filtered back projection in liver 64-MDCT: focal lesion detection, lesion conspicuity, and image noise. AJR Am J Roentgenol. 2013;200(5):1071–6.

    Article  Google Scholar 

  22. McCollough CH, Chen GH, Kalender W, Leng S, Samei E, Taguchi K, et al. Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT. Radiology. 2012;264:567–80.

    Article  Google Scholar 

  23. Mori I. Non-linear nature of recent CT images and image quality evaluation. 2013. http://hdl.handle.net/10097/55355. Accessed 31 Jan 2013.

  24. Oda S, Weissman G, Vembar M, Weigold WG. Iterative model reconstruction: improved image quality of low-tube-voltage prospective ECG-gated coronary CT angiography images at 256-slice CT. Eur J Radiol. 2014;83(3):1408–15.

    Article  Google Scholar 

  25. Gordic S, Desbiolles L, Sedlmair M, Manka R, Plass A, Schmidt B, et al. Optimizing radiation dose by using advanced modelled iterative reconstruction in high-pitch coronary CT angiography. Eur Radiol. 2016;26:459–68.

    Article  Google Scholar 

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Correspondence to Toshihiko Hamamura.

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The authors declare that they have no conflict of interest.

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The study was approved by our institutional review board, and the requirement for informed consent had been waived.

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Hamamura, T., Hayashida, Y., Takeshita, Y. et al. The usefulness of full-iterative reconstruction algorithm for the visualization of cystic artery on CT angiography. Jpn J Radiol 37, 526–533 (2019). https://doi.org/10.1007/s11604-019-00839-x

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  • DOI: https://doi.org/10.1007/s11604-019-00839-x

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