Display options
Cite
Drewniak T, Rzepecki M, Juszczak K, et al. Methodology and evaluation of the renal arterial system. Cent European J Urol. 2013;66(2):152-7doi: 10.5173/ceju.2013.02.art10.
Drewniak, T., Rzepecki, M., Juszczak, K., Moczulski, Z., Reczyńska, K., & Jakubowska, M. (2013). Methodology and evaluation of the renal arterial system. Central European journal of urology, 66(2), 152-7. https://doi.org/10.5173/ceju.2013.02.art10
Drewniak, Tomasz, et al. "Methodology and evaluation of the renal arterial system." Central European journal of urology vol. 66,2 (2013): 152-7. doi: https://doi.org/10.5173/ceju.2013.02.art10
Drewniak T, Rzepecki M, Juszczak K, Moczulski Z, Reczyńska K, Jakubowska M. Methodology and evaluation of the renal arterial system. Cent European J Urol. 2013;66(2):152-7. doi: 10.5173/ceju.2013.02.art10. Epub 2013 Aug 13. PMID: 24579016; PMCID: PMC3936159.
Copy Download .nbib Format: NLM
Share it on

Cent European J Urol. 2013;66(2):152-7. doi: 10.5173/ceju.2013.02.art10. Epub 2013 Aug 13.

Methodology and evaluation of the renal arterial system.

Central European journal of urology

Tomasz Drewniak, Maciej Rzepecki, Kajetan Juszczak, Zbigniew Moczulski, Katarzyna Reczyńska, Małgorzata Jakubowska

Affiliations

  1. Department of Urology, Rydygier Memorial Hospital, Cracow, Poland.
  2. Department of Urology, Rydygier Memorial Hospital, Cracow, Poland ; Department of Pathophysiology, Medical College Jagiellonian University, Cracow, Poland.
  3. Department of Radiology, Rydygier Memorial Hospital, Cracow, Poland.
  4. Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Cracow, Poland.
  5. Faculty of Materials Science and Ceramics, AGH University of Science and Technology, Cracow, Poland.

PMID: 24579016 PMCID: PMC3936159 DOI: 10.5173/ceju.2013.02.art10

Abstract

INTRODUCTION: The broad range of medical images and image processing technologies are applied in urology. The aim was to propose methodology to assess three-dimensional (3D) arrangement of renal arterial tree and to build a statistical model for analyzing the layout of arteries in the sections of the kidney.

METHODS: The series of kidney CT slices are analyzed using image processing procedures and further the 3D model of arterial systems is converted to a graph tree which includes information about features of the renal arterial system.

RESULTS: The selected endocast was transformed to the form of the 3D connected tubes, further to the tree data structure and next analyzed. The information about 3D coordinates of the nodes, also branch length and diameter were stored. Renal arterial system of the considered kidney possessed 181 branches with 14 bifurcation levels. The number of branches was highest at the 9th bifurcation level. The mean length of the arterial branch on each bifurcation level was constant (6 mm). The branch diameters rapidly decreased after each bifurcation. The number of terminal branches increases up to 9th level where there are 19 terminal branches. The mean length of terminal arteries was 7.17 mm while the mean radius 0.46 mm. A statistically significant correlation between parameters that described sub-trees was noticed. It was observed that the individual artery segments occupy a separate space in the kidney volume.

CONCLUSIONS: The methodology has the potential to assist in presurgical planning based on branching patterns of the renal arterial system and corresponding pathology.

Keywords: computed tomography; descriptive statistics of the renal arterial tree; partial nephrectomy; renal arterial system; tree–like structures

References

  1. J Urol. 2008 Jan;179(1):71-4; discussion 74 - PubMed
  2. Eur Urol. 2006 Mar;49(3):485-90 - PubMed
  3. J Urol. 2004 Mar;171(3):1066-70 - PubMed
  4. BJU Int. 2006 May;97(5):939-45 - PubMed
  5. IEEE Trans Med Imaging. 1996;15(3):314-26 - PubMed
  6. Br J Surg. 1954 Sep;42(172):132-9 - PubMed
  7. Eur Urol. 2006 Jun;49(6):1058-63; discussion 1063-4 - PubMed
  8. Eur Urol. 2007 Jul;52(1):148-54 - PubMed
  9. Eur Urol. 2007 Jun;51(6):1502-10 - PubMed
  10. J Urol. 2004 Jun;171(6 Pt 1):2181-5, quiz 2435 - PubMed
  11. J Am Soc Nephrol. 2003 Oct;14(10):2573-80 - PubMed
  12. Lancet Oncol. 2006 Sep;7(9):735-40 - PubMed
  13. Curr Opin Urol. 2009 Jan;19(1):108-13 - PubMed
  14. Ann Intern Med. 2003 Jul 15;139(2):137-47 - PubMed
  15. Eur Urol. 2008 Apr;53(4):803-9 - PubMed
  16. Comput Intell Neurosci. 2011;2011:749054 - PubMed

Publication Types