Published in:
01-01-2018 | Original Article
Computational modeling of abdominal hernia laparoscopic repair with a surgical mesh
Authors:
Silvia Todros, Paola Pachera, Nicola Baldan, Piero G. Pavan, Silvia Pianigiani, Stefano Merigliano, Arturo N. Natali
Published in:
International Journal of Computer Assisted Radiology and Surgery
|
Issue 1/2018
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Abstract
Purpose
Although new techniques and prostheses have been introduced in ventral hernia surgery, abdominal hernia repair still presents complications, such as recurrence, pain, and discomfort. Thus, this work implements a computational method aimed at evaluating biomechanical aspects of the abdominal hernia laparoscopic repair, which can support clinical research tailored to hernia surgery.
Methods
A virtual solid model of the abdominal wall is obtained from MRI scans of a healthy subject. The mechanical behavior of muscular and fascial tissues is described by constitutive formulations with specific parameters. A defect is introduced to reproduce an incisional hernia. Laparoscopic repair is mimicked via intraperitoneal positioning of a surgical mesh. Numerical analyses are performed to evaluate the mechanical response of the abdominal wall in healthy, herniated and post-surgery configurations, considering physiological intra-abdominal pressures.
Results
During the deformation of the abdominal wall at increasing pressures, a percentage displacement increment up to 6% is found in the herniated condition, while the mechanical behavior of the repaired abdomen is similar to the healthy one. In the pressure range between 8 mmHg and 55 mmHg, the herniated abdomen shows an incremental stiffness differing of 7% with respect to the healthy condition, while the post-surgery condition shows an increase of the incremental stiffness up to 58%.
Conclusions
This computational approach may be exploited to investigate different aspects of abdominal wall surgical repair, including mesh mechanical characteristics and positioning. Numerical modeling offers a helpful support for selecting the best-fitting prosthesis for customize pre-surgery planning.