Non-intubated video-assisted thoracoscopic McKeown oesophagectomy using i-gel™ and continuous pressure support ventilation: A case report

Abstract Non-intubated video-assisted thoracoscopic surgery (NIVATS) minimises airway trauma and ventilator-induced lung injury, yet its application in complex, multi-phase McKeown oesophagectomy is seldom reported. A 32-year-old female (40 kg, 140 cm and body mass index: 20.4 kg/m 2 ) presented for McKeown minimally invasive oesophagectomy following neoadjuvant chemoradiotherapy. We employed a ‘less invasive anaesthesia’ strategy combining T9–T10 thoracic epidural analgesia with Bispectral Index-guided target-controlled propofol infusion. Continuous pressure support ventilation (16 cmH 2 O above a positive end-expiratory pressure of 5 cmH 2 O) with preserved spontaneous breathing was maintained via a size 3 i-gel™ throughout surgery; neuromuscular blockade and controlled mechanical ventilation were not used at any stage. Surgical exposure was optimised via right-sided capnothorax. The resulting permissive hypercapnia was haemodynamically well-tolerated. Recovery was uneventful, and the airway device was removed after protective airway reflexes had returned. She was discharged from the hospital on post-operative day 6 without any complications. NIVATS for McKeown oesophagectomy may be feasible in carefully selected patients.

Authors

Institutions

Publication Details

Journal
Journal of Minimal Access Surgery
Published
2026-10-15
DOI
https://doi.org/10.4103/jmas.jmas_302_26
Primary Topic
Airway Management and Intubation Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-intubated video-assisted thoracoscopic McKeown oesophagectomy using i-gel™ and continuous pressure support ventilation: A case report

Megha Ranjan, Pooja Maurya, Naveen Kumar, Prashant Sirohiya
Journal of Minimal Access Surgery
Airway Management and Intubation Techniques
article

Non-intubated video-assisted thoracoscopic McKeown oesophagectomy using i-gel™ and continuous pressure support ventilation: A case report

Megha Ranjan, Pooja Maurya, Naveen Kumar, Prashant Sirohiya
article en

Abstract

Abstract Non-intubated video-assisted thoracoscopic surgery (NIVATS) minimises airway trauma and ventilator-induced lung injury, yet its application in complex, multi-phase McKeown oesophagectomy is seldom reported. A 32-year-old female (40 kg, 140 cm and body mass index: 20.4 kg/m 2 ) presented for McKeown minimally invasive oesophagectomy following neoadjuvant chemoradiotherapy. We employed a ‘less invasive anaesthesia’ strategy combining T9–T10 thoracic epidural analgesia with Bispectral Index-guided target-controlled propofol infusion. Continuous pressure support ventilation (16 cmH 2 O above a positive end-expiratory pressure of 5 cmH 2 O) with preserved spontaneous breathing was maintained via a size 3 i-gel™ throughout surgery; neuromuscular blockade and controlled mechanical ventilation were not used at any stage. Surgical exposure was optimised via right-sided capnothorax. The resulting permissive hypercapnia was haemodynamically well-tolerated. Recovery was uneventful, and the airway device was removed after protective airway reflexes had returned. She was discharged from the hospital on post-operative day 6 without any complications. NIVATS for McKeown oesophagectomy may be feasible in carefully selected patients.

Journal of Minimal Access Surgery
DR. B.R.A. Institute Rotary Cancer Hospital (IN), All India Institute of Medical Sciences (IN)
Openalex Percentile: Top 8%
Airway Management and Intubation Techniques
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.