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New simple image overlay system using a tablet PC for pinpoint identification of the appropriate site for anastomosis in peripheral arterial reconstruction

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Abstract

Purpose

To evaluate the accuracy and utility of a new image overlay system using a tablet PC for patients undergoing peripheral arterial reconstruction.

Methods

Eleven limbs treated with distal bypass surgery were studied. Three-dimensional images obtained by processing a preoperative contrast-enhanced computed tomography scan were superimposed onto the back-camera images of a tablet PC. We used this system to pinpoint a planned distal anastomotic site preoperatively and to make a precise incision directly above it during surgery. We used a branch artery near the distal anastomotic site as a reference point and the accuracy of the system was validated by comparing its results with the intraoperative findings. The precision of the system was also compared with that of a preoperative ultrasonographic examination.

Results

Both the image overlay system and ultrasonography (US) accurately identified the target branch artery in all except one limb. In that limb, which had a very small reference branch artery, preoperative US wrongly identified another branch, whereas the image overlay system located the target branch with an error of 10 mm.

Conclusions

Our image overlay system was easy to use and allowed us to precisely identify a target artery preoperatively. Therefore, this system could be helpful for pinpointing the most accurate incision site during surgery.

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References

  1. Schurgin S, Rich S, Mazzone T. Increased prevalence of significant coronary artery calcification in patients with diabetes. Diabetes Care. 2001;24:335–8.

    Article  CAS  PubMed  Google Scholar 

  2. Ishimura E, Okuno S, Taniwaki H, Kizu A, Tsuchida T, Shioi A, et al. Different risk factors for vascular calcification in end-stage renal disease between diabetics and nondiabetics: the respective importance of glycemic and phosphate control. Kidney Blood Press Res. 2008;31:10–5.

    Article  CAS  PubMed  Google Scholar 

  3. Jager KA, Phillips DJ, Martin RL, Hanson C, Roederer GO, Langlois YE, et al. Noninvasive mapping of lower limb arterial lesions. Ultrasound Med Biol. 1985;11:515–21.

    Article  CAS  PubMed  Google Scholar 

  4. Elsman BH, Legemate DA, van der Heijden FH, de Vos HJ, Mali WP, Eikelboom BC. Impact of ultrasonographic duplex scanning on therapeutic decision making in lower-limb arterial disease. Br J Surg. 1995;82:630–3.

    Article  CAS  PubMed  Google Scholar 

  5. Wain RA, Berdejo GL, Delvalle WN, Lyon RT, Sanchez LA, Suggs WD, et al. Can duplex scan arterial mapping replace contrast arteriography as the test of choice before infrainguinal revascularization? J Vasc Surg. 1999;29:100–7 (discussion 107–9).

  6. Luján S, Criado E, Puras E, Izquierdo LM. Duplex scanning or arteriography for preoperative planning of lower limb revascularisation. Eur J Vasc Endovasc Surg. 2002;24:31–6.

    Article  PubMed  Google Scholar 

  7. Mazzariol F, Ascher E, Hingorani A, Gunduz Y, Yorkovich W, Salles-Cunha S. Lower-extremity revascularisation without preoperative contrast arteriography in 185 cases: lessons learned with duplex ultrasound arterial mapping. Eur J Vasc Endovasc Surg. 2000;19:509–15.

    Article  CAS  PubMed  Google Scholar 

  8. de Vos MS, Bol BJ, Gravereaux EC, Hamming JF, Nguyen LL. Treatment planning for peripheral arterial disease based on duplex ultrasonography and computed tomography angiography: consistency, confidence and the value of additional imaging. Surgery. 2014;156:492–502.

    Article  PubMed  Google Scholar 

  9. Ascher E, Mazzariol F, Hingorani A, Salles-Cunha S, Gade P. The use of duplex ultrasound arterial mapping as an alternative to conventional arteriography for primary and secondary infrapopliteal bypasses. Am J Surg. 1999;178:162–5.

    Article  CAS  PubMed  Google Scholar 

  10. Karacagil S, Löfberg AM, Granbo A, Lörelius LE, Bergqvist D. Value of duplex scanning in evaluation of crural and foot arteries in limbs with severe lower limb ischaemia—a prospective comparison with angiography. Eur J Vasc Endovasc Surg. 1996;12:300–3.

    Article  CAS  PubMed  Google Scholar 

  11. Eiberg JP, Hansen MA. Grønvall Rasmussen JB, Schroeder TV. Minimum training requirement in ultrasound imaging of peripheral arterial disease. Eur J Vasc Endovasc Surg. 2008;36:325–30.

    Article  CAS  PubMed  Google Scholar 

  12. Chan D, Anderson ME, Dolmatch BL. Imaging evaluation of lower extremity infrainguinal disease: role of the noninvasive vascular laboratory, computed tomography angiography, and magnetic resonance angiography. Tech Vasc Interv Radiol. 2009;13:11–22.

    Article  Google Scholar 

  13. Rassweiler JJ, Müller M, Fangerau M, Klein J, Goezen AS, Pereira P, et al. iPad-assisted percutaneous access to the kidney using marker-based navigation: initial clinical experience. Eur Urol. 2012;61:628–31.

    Article  PubMed  Google Scholar 

  14. Eguchi T, Takasuna K, Kitazawa A, Fukuzawa Y, Sakaue Y, Yoshida K, et al. Three-dimensional imaging navigation during a lung segmentectomy using an iPad. Eur J Cardiothorac Surg. 2012;41:893–7.

    Article  PubMed  Google Scholar 

  15. Anand M, King F, Ungi T, Lasso A, Rudan J, Jayender J, et al. Design and development of a mobile image overlay system for needle interventions. Conf Proc IEEE Eng Med Biol Soc. 2014;2014:6159–62.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Müller M, Rassweiler MC, Klein J, Seitel A, Gondan M, Baumhauer M, et al. Mobile augmented reality for computer-assisted percutaneous nephrolithotomy. Int J Comput Assist Radiol Surg. 2013;8:663–75.

    Article  PubMed  Google Scholar 

  17. Fukuda T, Matsuda H, Doi S, Sugiyama M, Morita Y, Yamada M, et al. Evaluation of automated 2D–3D image overlay system utilizing subtraction of bone marrow image for EVAR: feasibility study. Eur J Vasc Endovasc Surg. 2013;46:75–81.

    Article  CAS  PubMed  Google Scholar 

  18. Cabrilo I, Schaller K, Bijlenga P. Augmented reality-assisted bypass surgery: embracing minimal invasiveness. World Neurosurg. 2015;83:596–602.

    Article  PubMed  Google Scholar 

  19. Shuhaiber JH. Augmented reality in surgery. Arch Surg. 2004;139:170–4.

    Article  PubMed  Google Scholar 

  20. Inoue D, Cho B, Mori M, Kikkawa Y, Amano T, Nakamizo A, et al. Preliminary study on the clinical application of augmented reality neuronavigation. J Neurol Surg A Cent Eur Neurosurg. 2013;74:71–6.

    Article  CAS  PubMed  Google Scholar 

  21. Soler L, Delingette H, Malandain G, Montagnat J, Ayache N, Koehl C, et al. Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery. Comput Aided Surg. 2001;6:131–42.

    Article  CAS  PubMed  Google Scholar 

  22. Sato Y, Nakamoto M, Tamaki Y, Sasama T, Sakita I, Nakajima Y, et al. Image guidance of breast cancer surgery using 3-D ultrasound images and augmented reality visualization. IEEE Trans Med Imaging. 1998;17:681–93.

    Article  CAS  PubMed  Google Scholar 

  23. Okamoto T, Onda S, Yanaga K, Suzuki N, Hattori A. Clinical application of navigation surgery using augmented reality in the abdominal field. Surg Today. 2015;45:397–406.

    Article  PubMed  Google Scholar 

  24. Kamiuchi H, Masamune K. Medical image overlay system with a tablet PC and three markers. IEICE Tech Rep. 2012;112:29–34.

    Google Scholar 

  25. Jens S, Koelemay MJ, Reekers JA, Bipat S. Diagnostic performance of computed tomography angiography and contrast-enhanced magnetic resonance angiography in patients with critical limb ischaemia and intermittent claudication: systematic review and meta-analysis. Eur Radiol. 2013;23:3104–14.

    Article  PubMed  Google Scholar 

  26. Nakamura K, Miyazaki M, Kuroki K, Yamamoto A, Hiramine A, Admiraal-Behloul F. Noncontrast-enhanced peripheral MRA: technical optimization of flow-spoiled fresh blood imaging for screening peripheral arterial diseases. Magn Reson Med. 2011;65:595–602.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Division of Vascular Surgery, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

    Yasuaki Mochizuki, Katsuyuki Hoshina, Tetsuro Miyata & Toshiaki Watanabe

  2. Department of Surgery, Tokyo Metropolitan Tama Medical Center, 2-8-29 Musashidai, Fuchu, Tokyo, 183-8524, Japan

    Akihiro Hosaka

  3. Advanced Therapeutic and Rehabilitation Engineering Laboratory, Department of Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

    Hiroki Kamiuchi, Jun Xiao Nie & Ken Masamune

  4. Institute of Advanced Biomedical Engineering and Science, Tokyo Women’s Medical University, Tokyo, Japan

    Ken Masamune

  5. Vascular Center, Sanno Medical Center, Tokyo, Japan

    Tetsuro Miyata

Authors
  1. Yasuaki Mochizuki
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  2. Akihiro Hosaka
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  3. Hiroki Kamiuchi
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  4. Jun Xiao Nie
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  5. Ken Masamune
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  6. Katsuyuki Hoshina
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  7. Tetsuro Miyata
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  8. Toshiaki Watanabe
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Corresponding author

Correspondence to Akihiro Hosaka.

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Conflict of interest

Yasuaki Mochizuki and his co-authors have no conflicts of interest with regard to this study.

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Mochizuki, Y., Hosaka, A., Kamiuchi, H. et al. New simple image overlay system using a tablet PC for pinpoint identification of the appropriate site for anastomosis in peripheral arterial reconstruction. Surg Today 46, 1387–1393 (2016). https://doi.org/10.1007/s00595-016-1326-4

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  • DOI: https://doi.org/10.1007/s00595-016-1326-4

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