AI-EBUS-Elastography for LN Staging

NACompletedINTERVENTIONAL
Enrollment

100

Participants

Timeline

Start Date

September 1, 2021

Primary Completion Date

May 1, 2022

Study Completion Date

May 1, 2022

Conditions
Artificial IntelligenceEndobronchial UltrasoundElastographyNSCLCLung Cancer
Interventions
DEVICE

EBUS-Elastography

Patients undergoing LN staging for lung cancer with EBUS-TBNA will have digital images and biopsy of every LN obtained in accordance with standards of care. Prior to the lymph node biopsy by EBUS-TBNA, elastography will be performed. The relative strain of tissues in the scanned area of the LNs will be displayed as a colour map, with stiffer areas in blue and softer tissue in red. Elastography and B-mode images will be displayed side by side and images recorded and saved onto an external drive for analysis. Elastography images will be fed to the NeuralSeg algorithm which has a network architecture similar to the standard U-Net for image segmentation. The automatically identified regions of interest will be overlaid onto the EBUS Elastography images to extract the LN stiffness measurements. After overlaying, NeuralSeg will determine the proportion of the LN area within 9 previously defined stiffness thresholds.

Trial Locations (1)

L8N 4A6

St. Joseph's Healthcare Hamilton, Hamilton

All Listed Sponsors
lead

St. Joseph's Healthcare Hamilton

OTHER

NCT04816981 - AI-EBUS-Elastography for LN Staging | Biotech Hunter | Biotech Hunter