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Laparoscopic Repair of Para-Esophageal Hernia Using Absorbable Biosynthetic Mesh
Published on: September 11, 2021
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Hiatal Hernia Repair: Can We Predict the Need for Mesh?
Evgenia Golzman1,2, Idan Farber1,2, Li Or Lazar2,3
1Department of Imaging, Kaplan Medical Center, Rehovot, Israel.
Journal of Laparoendoscopic & Advanced Surgical Techniques. Part A
|October 12, 2023
Summary
Preoperative hernia sac volume (HSV) on CT scans can predict the need for mesh in hiatal hernia repair. This imaging metric aids surgical planning, potentially improving outcomes for complex paraesophageal hernia cases.
Area of Science:
- Gastroenterology
- Surgical Oncology
- Radiology
Background:
- Mesh use in paraesophageal hernia repair is debated due to potential long-term complications.
- Predicting the need for mesh during surgery remains a challenge.
Purpose of the Study:
- To determine if preoperative imaging characteristics of diaphragmatic hernias can predict the necessity of mesh repair.
- To identify imaging biomarkers for optimizing surgical planning in hiatal hernia repair.
Main Methods:
- Retrospective review of 53 patients undergoing laparoscopic diaphragmatic hernia repair (Sept 2015-Sept 2022).
- Analysis of preoperative computerized tomography (CT) scans, including volumetric measurements of hiatal defect area (HDA) and hernia sac volume (HSV).
- Correlation of imaging findings with intraoperative mesh repair decisions.
Main Results:
- Mesh repair was required in 43.4% of cases, exclusively in types II-IV hernias.
- Patients requiring mesh exhibited significantly higher mean hernia sac volume (HSV) (708.53 cm³ vs. 346.87 cm³, P < .003).
- Higher mean hiatal neck height was also observed in the mesh repair group (50.8 mm vs. 43.22 mm, P < .032).
Conclusions:
- Preoperative hernia sac volume (HSV) measured on CT scans is a significant predictor for mesh use in hiatal hernia surgery.
- Utilizing HSV measurements can enhance preoperative surgical planning and decision-making for paraesophageal hernias.
- Further validation studies are recommended to refine the predictive accuracy of HSV and optimize surgical outcomes.

