Objective assessment of cesarean section suturing techniques using a uterine simulator

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Authors: Hikari Nakato, Jota Maki, Chiaki Kuriyama, S. Sakata, Keiichi Oishi, Ayano Suemori, Hikaru Ooba, Tomohiro Mitoma, Masakazu Kato, Sakurako Mishima, Akiko Ohira, Satoe Kirino
+2 more Eriko Eto, Hisashi Masuyama
Cited by: 0
References: 23

Abstract

Cesarean wound healing is influenced by surgeon experience, suture type, and technique. This study utilized a simulation model to quantify these effects. Obstetricians-gynecologists and junior residents performed two-layer continuous suturing on uterine models, forming eight groups based on experience level (expert, novice), suture type (conventional, barbed), and technique (Albert-Lembert, layer-to-layer). The ideal wound condition was defined as that achieved by an expert using barbed sutures and the layer-to-layer technique. Wound characteristics were quantified and compared to this ideal. Experts using barbed sutures in Albert-Lembert suturing showed higher wound density but greater deformation and larger endometrial openings (both P < 0.01). Novices using barbed sutures in Albert-Lembert suturing showed similar wound density but significantly greater deformation and opening (both P < 0.01). Novices using conventional sutures in layer-to-layer suturing showed the lowest wound density and longest suturing time (both P < 0.01). Notably, novices using barbed sutures achieved wound characteristics comparable to experts using conventional sutures in Albert-Lembert suturing and results closer to the ideal in layer-to-layer suturing. These findings establish a quantifiable standard for cesarean suturing and suggest that optimizing suture types and techniques may help compensate for differences in surgical expertise.

Fields of Study & Subjects

Surgical Simulation and Training Surgical Sutures and Adhesives Maternal and Perinatal Health Interventions

Publication details

Journal / source
Scientific Reports
Volume
16
Issue
1
Pages
7456
Publication date
5 February 2026
Language
EN