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Updated: Dec 22, 2025

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A Novel Method to Adjust Saphenous Vein Graft Lengths Using 3D Printing Models.

Hakan Gocer1, Ahmet Baris Durukan2, Osman Tunc3

  • 1Medical Park Usak Hospital, Department of Cardiology, Usak, Turkey.

The Heart Surgery Forum
|May 5, 2020
PubMed
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Determining optimal saphenous vein graft length is crucial for bypass surgery success. This study shows 3D printing models and software accurately measure graft length, potentially reducing surgical time and improving outcomes.

Area of Science:

  • Cardiovascular Surgery
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Optimal saphenous vein graft length is critical for graft patency in coronary revascularization.
  • Accurate graft length measurement presents a surgical challenge.
  • This study investigates the utility of 3D printing for determining optimal graft length.

Purpose of the Study:

  • To evaluate the accuracy of 3D printing in measuring saphenous vein graft length.
  • To compare 3D printing measurements with conventional methods.
  • To assess the potential of 3D printing to optimize graft length determination.

Main Methods:

  • Sixteen patients undergoing bypass surgery with vein grafts were included.
  • Graft lengths were measured using postoperative CT, manual 3D printed models, and Mimics software segmentation.
Keywords:
3D printingSaphenous Graft LengthMimics Software

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  • Measurements were compared using statistical analysis.

    • Main Results:

    • A statistically significant difference was found between the three measurement methods (P < .001).
    • Actual graft measurements were longer than those from manual 3D printed models.
    • Measurements from 3D printed models and Mimics software segmentation were similar (P > .05).

    Conclusions:

    • 3D printing models and associated software can accurately determine optimal saphenous vein graft length.
    • This technology may help identify optimal anastomosis sites, potentially decreasing operation time.
    • 3D printing offers a promising approach to reduce operator-dependent variables in graft adjustment.