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Record W4407285143 · doi:10.1093/jcag/gwae059.046

A46 PER-ORAL ENDOSCOPIC MYOTOMY ALLEVIATES HELICAL STENOSIS OF A GASTRIC CONDUIT POST-ESOPHAGECTOMY: A CASE REPORT

2025· article· en· W4407285143 on OpenAlexaff
Shuyu Jiang, Anahita Sanaei Dashti, Cynthuja Thilakanathan, Roberto Trasolini

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Tumor Research and Treatment
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsMyotomyMedicineEsophagectomyStenosisElectrical conduitSurgeryInternal medicineGastroenterologyEsophagusAchalasiaEsophageal cancerCancer

Abstract

fetched live from OpenAlex

Abstract Background Gastric conduit dysfunction is a common post-operative complication of esophagectomy. Established treatments include pyloric botox, dilatation, pyloromyotomy, and most definitively, surgical revision. We present a case of gastric conduit dysfunction that was refractory to surgical management. Aims To present a case of gastric conduit dysfunction due to helical stenosis; to bring awareness to this rare condition and novel application of endoscopic myotomy. Methods Case report and literature review. Results: Case Report A 69-year-old male underwent Ivor Lewis esophagectomy for esophageal adenocarcinoma, complicated by significant post-operative dysphagia and regurgitation, requiring complete jejunostomy feeding. Barium swallow showed obstruction at the hiatus and torsion of the gastric conduit proximal to the pylorus. Multiple gastroscopies similarly noted torsional stenosis in the gastric conduit and excluded a gastroesophageal anastomotic stricture. Over several months, he underwent progressive interventions with minimal symptomatic improvement: botox injection to the pylorus, endoscopic balloon dilatation to 20mm, laparoscopic crural revision, and laparotomy with enlargement of the diaphragmatic hiatus and surgical pyloromyotomy. Finally, at 8 months post-esophagectomy, the patient underwent tunneled full-thickness endoscopic myotomy to 3cm of helical stenosis in the gastric conduit with noted release and no complications. Following this, the patient has consumed solid meals without issue. Literature Review Gastric conduit dysfunction, encompassing delayed emptying, occurs in 15- 30% of patients post-esophagectomy and can lead to debilitating dysphagia, reflux, malnutrition, and aspiration. Most patients respond to pyloric interventions such as botox, balloon dilatation and pyloromyotomy. Limited case series have described 2-5% of patients with refractory symptoms; one proposed cause was twisting of the gastric conduit such that outflow is obstructed. This scenario is anatomically akin to helical stenosis following laparoscopic sleeve gastrectomy, for which gastric per-oral endoscopic myotomy (POEM) has shown early success. Given exhaustion of surgical management, a similar approach was undertaken in the above patient; we report the first case of a twisted gastric conduit treated with POEM. Conclusions With advances in third space endoscopy, surgery is no longer the only option for refractory stenosis in carefully selected patients. In the rare case of severe gastric conduit dysfunction due to helical stenosis, endoscopic myotomy may be a safe and effective treatment. A. Helical stenosis of the gastric conduit proximal to the pylorus. B. Lumen of the helical stenosis. C. Creation of mucosotomy. D. Submucosal tunnel created. E. Tortuosity within tunnel. F. Full thickness myotomy with exposure of the serosal layer in area of stenosis. G. Mucosotomy closed with through-the-scope clips. H. Pre-procedure barium swallow with hold up of contrast at the helical stenosis. I. Post-procedure barium swallow with passage of contrast. Funding Agencies None

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.285
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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