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Accuracy of preoperative automatic measurement of the liver volume by CT-scan combined to a 3D virtual surgical planning software (3DVSP)

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Abstract

Background

Liver volumetry is a critical component of safe hepatic surgery, in order to minimize the risk of postoperative liver failure. Liver volumes can be calculated routinely using the time-consuming gold standard method of manual volumetry. The current work sought to evaluate an alternative automatic technique based on a novel 3D virtual planning software, and to compare it to the manual technique.

Methods

A prospective study of patients undergoing liver resection was conducted. Every patient had a pre and 2-day postoperative CT-scan. For each patient, total, remnant and resected volumes were calculated manually and automatically. Planes of resection were verified by a hepatobiliary surgeon and compared with postoperative volumes. Paired t-tests and correlation coefficients were calculated.

Results

A major hepatectomy was carried out in 36/43 patients. The automatic TLV (1,759 mL) and the manual TLV (1,832 mL) were significantly different (p < 0.001), but extremely highly correlated (r = 0.989). The percentages of preoperative RLV (manual 58.5 %, automatic 58.9 %) were similar, with an excellent correlation of 0.917. The preoperative RLV were matched with the 2-day postoperative RLV showing a significant difference (p = 0.0301). The resected volumes using both techniques (871 and 832 mL) were compared with the resected specimen volume (670 mL), showing a significant difference (p < 0.001) but a high degree of correlation (r = 0.874).

Conclusion

The 3D virtual surgical planning software is accurate and reliable in determining the total liver and future remnant liver volumes. This technique demonstrates a good correlation with the manual technique. Future work will be required to confirm these findings and to evaluate the clinical value of the three-dimensional planning platform.

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References

  1. Scheele J, Stang R, Altendorf-Hofmann A, Paul M (1995) Resection of colorectal liver metastases. World J Surg 19:59–71

    Article  CAS  PubMed  Google Scholar 

  2. Abdalla EK, Barnett CC, Doherty D, Curley SA, Vauthey JN (2002) Extended hepatectomy in patients with hepatobiliary malignancies with and without preoperative portal vein embolization. Arch Surg 137:675–680

    Article  PubMed  Google Scholar 

  3. Schindl MJ, Redhead DN, Fearon KC, Garden OJ, Wigmore SJ (2005) The value of residual liver volume as a predictor of hepatic dysfunction and infection after major liver resection. Gut 54:289–296

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  4. Saito S, Yamanaka J, Miura K, Nakao N, Nagao T, Sugimoto T, Hirano T, Kuroda N, Iimuro Y, Fujimoto J (2005) A novel 3D hepatectomy simulation based on liver circulation: application to liver resection and transplantation. Hepatology 41:1297–1304

    Article  PubMed  Google Scholar 

  5. Numminen K, Sipila O, Makisalo H (2005) Preoperative hepatic 3D models: virtual liver resection using three-dimensional imaging technique. Eur J Radiol 56:179–184

    Article  PubMed  Google Scholar 

  6. Soler L, Delingette H, Malandain G, Montagnat J, Ayache N, Koehl C, Dourthe O, Malassagne B, Smith M, Mutter D, Marescaux J (2001) Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery. Comput Aided Surg 6:131–142

    Article  CAS  PubMed  Google Scholar 

  7. Soler L, Nicolau S, Hostettler A, Fasquel JB, Agnus V, Charnoz A, Moreau J, Dallemagne B, Mutter D, Marescaux J (2010) Computer assisted digestive surgery, computational surgery and dual training. Springer, US, pp 139–153

    Book  Google Scholar 

  8. Vauthey JN, Chaoui A, Do KA, Bilimoria MM, Fenstermacher MJ, Charnsangavej C, Hicks M, Alsfasser G, Lauwers G, Hawkins IF, Caridi J (2000) Standardized measurement of the future liver remnant prior to extended liver resection: methodology and clinical associations. Surgery 127:512–519

    Article  CAS  PubMed  Google Scholar 

  9. Mosteller RD (1987) Simplified calculation of body-surface area. N Engl J Med 317:1098

    CAS  PubMed  Google Scholar 

  10. Vauthey JN, Abdalla EK, Doherty DA, Gertsch P, Fenstermacher MJ, Loyer EM, Lerut J, Materne R, Wang X, Encarnacion A, Herron D, Mathey C, Ferrari G, Charnsangavej C, Do KA, Denys A (2002) Body surface area and body weight predict total liver volume in Western adults. Liver Transpl 8:233–240

    Article  PubMed  Google Scholar 

  11. Rau HG, Schauer R, Helmberger T, Holzknecht N, von Ruckmann B, Meyer L, Buttler E, Kessler M, Zahlmann G, Schuhmann D, Schildberg FW (2000) Impact of virtual reality imaging on hepatic liver tumor resection: calculation of risk. Langenbecks Arch Surg 385:162–170

    Article  CAS  PubMed  Google Scholar 

  12. Yamanaka J, Saito S, Fujimoto J (2007) Impact of preoperative planning using virtual segmental volumetry on liver resection for hepatocellular carcinoma. World J Surg 31:1249–1255

    Article  PubMed  Google Scholar 

  13. Heymsfield SB, Fulenwider T, Nordlinger B, Barlow R, Sones P, Kutner M (1979) Accurate measurement of liver, kidney, and spleen volume and mass by computerized axial tomography. Ann Intern Med 90:185–187

    Article  CAS  PubMed  Google Scholar 

  14. Satou S, Sugawara Y, Tamura S, Kishi Y, Kaneko J, Matsui Y, Kokudo N, Makuuchi M (2007) Three-dimensional computed tomography for planning donor hepatectomy. Transplant Proc 39:145–149

    Article  CAS  PubMed  Google Scholar 

  15. Alpini G, Phillips JO, Vroman B, LaRusso NF (1994) Recent advances in the isolation of liver cells. Hepatology 20:494–514

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

This project was co-funded by the IRCAD and the European Community in the scope of the FP7 PASSPORT Project.

Disclosures

G Martel and the HPB and Liver Transplantation Unit, CHUM St-Luc, University of Montreal, are supported in part by a clinical and research bursary from Covidien Canada. R Lapointe has received honoraria from Sanofi Canada, Roche Canada, and BMS Canada; has received institution grants from Sanofi Canada, and Roche Canada. A Bégin, A Belblidia, and F Vandenbroucke-Menu have no conflicts of interest or financial ties to disclose. L Lepanto, L Soler, D Mutter, J Marescaux have no conflicts of interest or financial ties to disclose.

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Correspondence to Franck Vandenbroucke-Menu.

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Bégin, A., Martel, G., Lapointe, R. et al. Accuracy of preoperative automatic measurement of the liver volume by CT-scan combined to a 3D virtual surgical planning software (3DVSP). Surg Endosc 28, 3408–3412 (2014). https://doi.org/10.1007/s00464-014-3611-x

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  • DOI: https://doi.org/10.1007/s00464-014-3611-x

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