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Preoperative Prediction of Small Bowel Length Using CT Scan and Tridimensional Reconstructions: a New Tool in Bariatric Surgery?

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Abstract

Purpose

During Roux-en-Y-gastric Bypass, the limb lengths are preoperatively determined regardless of individual small bowel length (SBL), which presents a great variability. Few studies highlighted anthropometric factors associated with SBL, and none attempted to predict SBL preoperatively.

Objective

The aim of this study is to evaluate factors correlated to SBL (anthropometric and radiologic) and to establish a preoperative SBL prediction.

Material and Methods

In this single-center prospective study, 30 adult patients who underwent laparotomy with a preoperative CT scan were included. Intraoperative SBL measurement was performed with an umbilical tape. Anthropometric parameters were age, gender, height, and BMI. 2D radiological measurements consisted of subcutaneous thickness, abdominal diameters, waist circumference, and mesenteric root length. 3D radiological volumetric reconstructions consisted of whole small bowel and mesentery (WSBM), lean small bowel and mesentery (LSBM), and fat small bowel and mesentery (FSBM).

Results

Mean intraoperative measurement of SBL was 531 ± 105 cm. Among the clinical and radiological measurements, the FSBM volume presented the greatest dispersion. Height (p < 0.02) and LSBM volume (p < 0.01) were significantly correlated to the SBL in univariate analysis. LSBM volume was the only measurement significantly associated with SBL in multivariate analysis (p < 0.006). From the multivariate model, a formula was created to predict SBL. The mean percentage difference between predicted and intraoperative SBL measurements for all patients was 13.7%, and 8.4% for obese patients.

Conclusion

LSBM volume is significantly correlated to the SBL. A preoperative SBL prediction with low percentage error could be performed with LSBM volume.

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Acknowledgments

The authors would like to warmly thank David Wootton (from The Coper Union University, NY, USA) for his careful review of the manuscript.

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Authors and Affiliations

  1. Department of Digestive Surgery, Hôpital Nord, Aix-Marseille University, chemin des Bourrely, 13915 cedex 20, Marseille, France

    Lysa Marie, Stéphane V. Berdah, Vincent Moutardier & Thierry Bège

  2. Department of Radiology, Hôpital Nord, Aix-Marseille University, chemin des Bourrely, 13915 cedex 20, Marseille, France

    Robin Nacache, Ugo Scemama & Kathia Chaumoitre

  3. Laboratory of Applied Biomechanics UMRT24, Aix-Marseille University / IFSTTAR, Marseille, France

    Imane Chatta, Stéphane V. Berdah & Thierry Bège

  4. Department of Endocrinology, Metabolic Diseases and Nutrition, Hôpital Nord, Aix-Marseille University, chemin des Bourrely, 13915 cedex 20, Marseille, France

    Bénédicte Gaborit

Authors
  1. Lysa Marie
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  2. Robin Nacache
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  3. Ugo Scemama
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  6. Stéphane V. Berdah
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  9. Thierry Bège
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Corresponding author

Correspondence to Thierry Bège.

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The authors declare that they have no conflict of interest.

Statements Regarding Ethics and Consent

Informed consent was obtained from all individual participants included in the study. The study has been performed in accordance with the ethical standards.

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Marie, L., Nacache, R., Scemama, U. et al. Preoperative Prediction of Small Bowel Length Using CT Scan and Tridimensional Reconstructions: a New Tool in Bariatric Surgery?. OBES SURG 28, 1217–1224 (2018). https://doi.org/10.1007/s11695-017-3021-y

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  • DOI: https://doi.org/10.1007/s11695-017-3021-y

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