Ileal J-Pouch interposition as a salvage technique for failed coloanal anastomosis: a case report

This case underscores the complexities of surgical management in low rectal cancer and the potential use of ileal J-pouch interposition as an effective solution for complications arising from primary surgical efforts. Further long-term studies are warranted to evaluate the sustainability of this approach in similar patient cohorts.

Authors

Institutions

Publication Details

Journal
BMC Surgery
Published
2025-10-24
DOI
https://doi.org/10.1186/s12893-025-03258-0
Primary Topic
Esophageal and GI Pathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ileal J-Pouch interposition as a salvage technique for failed coloanal anastomosis: a case report

Sara Ashtari, Milad Karimian Ghadim, Saeed Derakhshani
BMC Surgery
Esophageal and GI Pathology
article

Ileal J-Pouch interposition as a salvage technique for failed coloanal anastomosis: a case report

Sara Ashtari, Milad Karimian Ghadim, Saeed Derakhshani
article en

Abstract

This case underscores the complexities of surgical management in low rectal cancer and the potential use of ileal J-pouch interposition as an effective solution for complications arising from primary surgical efforts. Further long-term studies are warranted to evaluate the sustainability of this approach in similar patient cohorts.

BMC SurgeryVol. 25(1)
Milad Hospital (IR), Day General Hospital (IR), Shahid Beheshti University of Medical Sciences (IR)
Openalex Percentile: Top 52%
Esophageal and GI Pathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.