NCT05987215

Interest of Using Deep Learning Algorithm for Otosclerosis Detection on Temporal Bone High Resolution CT

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 240 (estimated)
• Sponsor: Hospices Civils de Lyon · Academic / Other
• Sex: All
• Age: 18 Years – 110 Years
• Healthy volunteers: Accepted

Summary

Otosclerosis is a relatively frequent pathology, of multifactorial origin with genetic and hormonal part, predominantly in women. This disease causes a disorder of the bone metabolism of the middle and inner ear, responsible for a progressive deafness, which can become severe. Several elements are necessary to make the diagnosis of otosclerosis: the clinical examination and questioning, the audiometric assessment, and finally the temporal bone CT. The CT scan allows to detect foci of otosclerosis within the bone of the middle or inner ear. This diagnosis is sometimes difficult and requires interpretation by a trained radiologist. The investigators would like to evaluate the ability of a deep learning algorithm to detect these foci of otosclerosis, and to compare its diagnostic performance with a trained radiologist.

Detailed description

Otosclerosis is a relatively frequent pathology, of multifactorial origin with genetic and hormonal part, predominantly in women. This disease causes a disorder of the bone metabolism of the middle and inner ear, responsible for a progressive deafness, which can become severe. Several elements are necessary to make the diagnosis of otosclerosis: the clinical examination and questioning, the audiometric assessment, and finally the temporal bone CT. The CT scan allows to detect foci of otosclerosis within the bone of the middle or inner ear. This diagnosis is sometimes difficult and requires interpretation by a trained radiologist. The investigators would like to evaluate the ability of a deep learning algorithm to detect these foci of otosclerosis, and to compare its diagnostic performance with a trained radiologist.

Conditions

• Otosclerosis

Interventions

Type	Name	Description
COMBINATION_PRODUCT	Radiologic diagnosis	Each CT scan is interpreted by a radiologist and is assigned as positive or negative for the diagnosis of otosclerosis
DIAGNOSTIC_TEST	Artificial intelligence diagnosis	Each CT scan is screened by the deep learning algorithm and is assigned as positive or negative for the diagnosis of otosclerosis

Timeline

• Start date: 2022-07-01
• Primary completion: 2023-05-01
• Completion: 2023-10-01
• First posted: 2023-08-14
• Last updated: 2023-08-14

Locations

1 site across 1 country: France