Evidence Hub

Thoracoscopic repair of esophagogastric anastomotic fistula using a pedicled pleural flap: a case report and literature review

Li Y, Deng Y, Zou J

Frontiers in oncology, 2025

Abstract

Background: Esophagogastric anastomotic leakage is one of the most serious complications following radical esophagectomy for esophageal cancer. Anastomotic leakage leads to prolonged hospitalization, increased medical costs, reduced quality of life, and higher mortality. Thus, early detection and effective treatment of this complication are crucial. Successful treatment of anastomotic fistula hinges on closing the fistula tract.

Case summary: We treated a patient with locally advanced mid-thoracic esophageal squamous cell carcinoma. After two cycles of neoadjuvant chemotherapy, he underwent minimally invasive thoracoscopic esophagectomy using the McKeown procedure. However, on postoperative day 11, he developed a left cervical esophagogastric anastomotic leakage that extended into the right thoracic cavity, leading to empyema formation. After controlling the acute infection, we innovatively used a parietal pleural pedicled flap, assisted by video-assisted thoracoscopy, to repair the anastomotic fistula. Additionally, we performed thoracoscopic fiberboard decortication for the empyema. Subsequent measures included continuous low-pressure negative pleural suction in the right thoracic cavity to promote pulmonary re-expansion and eliminate residual cavity, as well as continuous irrigation and drainage to maintain a clean postoperative environment in the right thoracic cavity. These comprehensive treatments led to complete healing of the esophagogastric anastomotic fistula, and…

How strong is the evidence?

Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free