Comparing Human and Computer-based Quantification of Airway Stenosis From Bronchoscopic Images

Brigham and Women's Hospital3 enrolled

Overview

This is a pilot study to assess the utility of the automatic stenosis index quantification using 3D Slicer software (Computer-based Quantification). We will recruit three physicians to perform a similar analysis using video images of the same bronchoscopes images (Human-based Quantification). This study relates to the latter data collection.

Study Type

INTERVENTIONAL

Allocation

NON_RANDOMIZED

Purpose

OTHER

Masking

NONE

Enrollment

Conditions

Airway Obstruction

Interventions

Human-based Quantification of Airway StenosisOTHER

Human-based Quantification of Airway Stenosis From Bronchoscopic Images.

Computer-based Quantification of Airway Stenosis From Bronchoscopic Images.DEVICE

Computer-based Quantification of Airway Stenosis From Bronchoscopic Images.

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * Physicians who are trained in bronchoscopy. * Physicians who are willing and able to understand the scope of the study. Exclusion Criteria: * Physicians who are not trained in bronchoscopy. * Physicians who are unwilling and unable to understand the study procedure * Employees under the direct supervision of the investigators conducting the research

Outcomes

Primary Outcomes

Stenosis index quantified [0-100%]

The stenosis index quantified subjectively by the physician, defined ration between cross-sectional area of the obstructed airway and that of a normal airway.

Time frame: 1 year

Central Contacts

Nobuhiko Hata, PhD

CONTACT

617-732-5809 hata@bwh.harvard.edu

Artur Banach, MRes

CONTACT

abanach@bwh.harvard.edu

Data from ClinicalTrials.gov

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