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Related Concept Videos

Endoscopic Studies I: Bronchoscopy and Thoracoscopy01:30

Endoscopic Studies I: Bronchoscopy and Thoracoscopy

149
Endoscopy is a non-surgical medical technique used to examine a person's internal organs and vessels. This lesson will focus on two types of endoscopic studies: bronchoscopy and thoracoscopy.
Bronchoscopy
Description
Bronchoscopy is a procedure that involves direct visualization of the larynx, trachea, and bronchi for diagnostic and therapeutic purposes. A flexible fiber optic or rigid bronchoscope is used to carry out the procedure. The fiber-optic bronchoscope is more frequently used due...
149

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Related Experiment Video

Updated: May 16, 2025

Author Spotlight: Learning Systematic Bronchoscopy in a Simulation-Base Setting
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Automated vision-based assistance tools in bronchoscopy: stenosis severity estimation.

Clara Tomasini1, Javier Rodriguez-Puigvert2, Dinora Polanco3

  • 1DIIS, i3A. Universidad de Zaragoza, Zaragoza, Spain. ctomasini@unizar.es.

International Journal of Computer Assisted Radiology and Surgery
|May 15, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method for assessing subglottic stenosis severity using bronchoscopy videos. The new approach provides consistent, repeatable measurements, reducing the need for CT scans and expert subjectivity.

Keywords:
3D reconstructionBronchoscopySegmentationTracking

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Area of Science:

  • Medical Imaging
  • Computational Pathology
  • Airway Diseases

Background:

  • Subglottic stenosis (SGS) is airway narrowing below the vocal cords, diagnosed via subjective visual inspection or CT scans.
  • Current diagnostic methods for SGS lack objectivity and consistency, and automated tools are unavailable for bronchoscopy video analysis.
  • There is a need for reliable, automated methods to assess subglottic stenosis severity from endoscopic procedures.

Purpose of the Study:

  • To develop and validate an automated pipeline for estimating subglottic stenosis severity from bronchoscopy videos.
  • To provide a non-invasive, objective, and repeatable method for SGS assessment without requiring physicians to traverse the stenosed region.
  • To establish the first public benchmark dataset for subglottic stenosis severity assessment.

Main Methods:

  • A novel pipeline utilizes the illumination decline effect in endoscopy to segment and track the airway lumen from a single video frame.
  • A 3D airway model is reconstructed from the segmented lumen to quantitatively measure airway narrowing.
  • The method was evaluated on a newly created Subglottic Stenosis Dataset comprising real-world bronchoscopy procedures.

Main Results:

  • The automated pipeline achieved robust and consistent severity measurements for subglottic stenosis.
  • Results demonstrated strong agreement with ground-truth estimations from CT scans and expert visual assessments.
  • The method showed reliable repeatability across multiple estimations for the same patient, validating its consistency.

Conclusions:

  • Automated subglottic stenosis severity evaluation is feasible using solely bronchoscopy video data.
  • This approach can significantly aid diagnosis and monitoring, offering automated, repeatable estimations and reducing procedure time and radiation exposure.
  • The release of the Subglottic Stenosis Dataset and benchmark provides a valuable resource for future research in airway stenosis assessment.