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Updated: Feb 20, 2026

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
Published on: December 6, 2016
Drug-Induced Sedation Endoscopy (DISE) DATA FUSION system: clinical feasibility study
Esuabom Dijemeni1,2, Bhik Kotecha3,4
1Department of Bioengineering, Imperial College London, London, UK. e.dijemeni@imperial.ac.uk.
A new DISE DATA FUSION system captures real-time anatomical and cardiorespiratory data during drug-induced sleep endoscopy (DISE). This integrated approach improves understanding of airway obstruction severity and aids surgical planning for sleep breathing disorders.
Area of Science:
- Otolaryngology
- Sleep Medicine
- Medical Imaging
Background:
- Drug-induced sleep endoscopy (DISE) is crucial for diagnosing upper airway obstruction during sleep.
- Current DISE procedures lack standardized data capture, management, and objective outcome measures.
- This limits treatment planning and evaluation for sleep-related breathing disorders.
Purpose of the Study:
- To evaluate the clinical feasibility of the DISE DATA FUSION system.
- To capture, merge, display, and store anatomical and cardiorespiratory data simultaneously in real-time during DISE.
- To enhance understanding of airway obstruction and optimize surgical decisions.
Main Methods:
- Prospective cohort study of 20 patients undergoing DISE.
- Utilized the DISE DATA FUSION system integrating endoscopic imaging and cardiorespiratory monitoring.
- Simultaneously recorded anatomical obstructions and physiological parameters in real-time.
Main Results:
- Successfully captured real-time anatomical obstructions and associated cardiorespiratory data in all 20 patients.
- Identified obstructions at various pharyngeal levels with diverse configurations and severity.
- Created composite videos linking anatomical images with vital signs and timestamps for each event.
Conclusions:
- The DISE DATA FUSION system offers a feasible and improved method for simultaneous data acquisition during DISE.
- Real-time visualization of anatomical and cardiorespiratory data enhances the understanding of obstruction impact.
- This integrated approach supports optimized, DISE-based surgical decision-making for sleep-related breathing disorders.
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