The Use of Artificial Intelligence to Predict Cancerous Lymph Nodes for Lung Cancer Staging During Ultrasound Imaging

St. Joseph's Healthcare Hamilton

Status

Completed

Conditions

Lung Diseases

Lung Neoplasm

Treatments

Procedure: Endobronchial Ultrasound

Study type

Observational

Funder types

Other

Identifiers

NCT03849040

StJoes EBUS AI (5636)

Details and patient eligibility

About

This study aims to determine if a deep neural artificial intelligence (AI) network (NeuralSeg) can learn how to assign the Canada Lymph Node Score to lymph nodes examined by endobronchial ultrasound transbronchial needle aspiration(EBUS-TBNA), using the technique of segmentation. Images will be created from 300 lymph nodes videos from a prospective library and will be used as a derivation set to develop the algorithm. An additional100 lymph node images will be prospectively collected to validate if NeuralSeg can correctly apply the score.

Enrollment

52 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria