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

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Mass General Brigham

Status

Unknown

Conditions

Airway Obstruction

Treatments

Device: Computer-based Quantification of Airway Stenosis From Bronchoscopic Images.
Other: Human-based Quantification of Airway Stenosis

Study type

Interventional

Funder types

Other

Identifiers

NCT04846153
AirwayStenosis2021

Details and patient eligibility

About

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.

Enrollment

3 estimated patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

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

Trial design

Primary purpose

Other

Allocation

Non-Randomized

Interventional model

Single Group Assignment

Masking

None (Open label)

3 participants in 2 patient groups

Human-based Quantification
Other group
Description:
No intervention. No support tool will be used for quantifying airway stenosis from the bronchoscopic images collected previously.
Treatment:
Other: Human-based Quantification of Airway Stenosis
Computer-based Quantifiction
Active Comparator group
Description:
Computer based support tool will quantifying airway stenosis from the bronchoscopic images collected previously.
Treatment:
Device: Computer-based Quantification of Airway Stenosis From Bronchoscopic Images.

Trial contacts and locations

0

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Central trial contact

Nobuhiko Hata, PhD; Artur Banach, MRes

Data sourced from clinicaltrials.gov

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