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Endoscopy

October 21, 2026 · via Europe PMC

Reconstructive Endoscopic Suturing for Defect Closure After Large ≥90% Circumferential Colorectal Endoscopic Submucosal Dissection.

Aslan F, Aktas O, Ozer S, Hatipoglu A.

Journal ArticleAbstract only — full text under license

AI summary — for doctors, generated from the abstract only

Endoscopic suturing of the defect after near-circumferential colorectal ESD was feasible and safe and showed a promising signal against stricture.

What was studied

Consecutive series of 19 patients with colorectal lesions 10 cm or larger and at least 90% circumferential involvement who consented to reconstructive endoscopic suturing after ESD, compared with a non-sutured contemporary reference group.

Key findings

  • Closure was technically feasible in 100% (median 11 anchors, median 23 minutes), with 100% en bloc and R0 resection.
  • No delayed bleeding, perforation, suturing-related adverse events or symptomatic stricture over a median 30 months.
  • Symptomatic stricture occurred in 0/19 sutured versus 8/15 (53.3%) non-sutured patients.

Clinical relevance

Strictures after circumferential ESD are common and there is no established prevention, so closure could change practice for these rare, high-risk resections.

Who should care

Medical Gastroenterology

Limitations

Small non-randomized series with a reference group that had larger lesions, and only patients who chose closure were included.

This technique is worth considering at expert centers after very large ESD, but await prospective multicenter validation before routine adoption.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

Background and aim

Large (≥10cm) near-circumferential and circumferential colorectal endoscopic submucosal dissection (ESD) carries substantial stricture risk, with no established prophylactic strategy. We describe a reconstructive suturing technique for immediate defect closure and report its feasibility and clinical outcomes.

Methodology

Consecutive patients undergoing reconstructive endoscopic suturing after ESD of colorectal lesions ≥10 cm with ≥90% circumferential involvement were analyzed. Closure was performed in patients who consented to suturing. Primary outcomes were technical feasibility in defects elected for closure, adverse events, and symptomatic stricture requiring dilatation. Secondary outcomes included post-polypectomy syndrome, delayed bleeding, perforation, length of hospital stay, resection outcomes, and dissection speed.

Results

Nineteen patients underwent suturing (median specimen length 153 mm; 36.8% fully circumferential). Technical feasibility was 100% in those elected to be closed, with a median of 11 anchors and a median suturing time of 23 minutes (IQR: 14-27). En-bloc and R0 resection were 100%. No delayed bleeding, perforation, suturing-related adverse events, or symptomatic strictures occurred during a median follow-up of 30 months (planned follow-up completed in all patients). Median hospital stay was 3 days. In a contemporary (≥2019) reference comparison, symptomatic stricture occurred in 0/19 sutured versus 8/15 (53.3%) non-sutured patients, whose lesions were larger.

Conclusion

Reconstructive endoscopic suturing was feasible and safe in defects selected for closure within an exceptionally high-risk cohort and showed a promising signal against post-ESD stricture, warranting prospective multicenter validation.

DOI

10.1055/a-2985-8822

PMID

42906605

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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