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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

240 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-07-01

Study Completion Date

2023-10-01

Brief Summary

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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.

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Detailed Description

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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

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Otosclerosis

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

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CASE

Patients with surgically confirmed otosclerosis who initially consulted for conductive hearing loss with normal otoscopy, and with a high resolution computed tomography of temporal bone available

Radiologic diagnosis

Intervention Type COMBINATION_PRODUCT

Each CT scan is interpreted by a radiologist and is assigned as positive or negative for the diagnosis of otosclerosis

Artificial intelligence diagnosis

Intervention Type DIAGNOSTIC_TEST

Each CT scan is screened by the deep learning algorithm and is assigned as positive or negative for the diagnosis of otosclerosis

CONTROL

Random patients with a high resolution computed tomography scan of temporal bone performed without suspicion of otosclerosis and considered normal

Radiologic diagnosis

Intervention Type COMBINATION_PRODUCT

Each CT scan is interpreted by a radiologist and is assigned as positive or negative for the diagnosis of otosclerosis

Artificial intelligence diagnosis

Intervention Type DIAGNOSTIC_TEST

Each CT scan is screened by the deep learning algorithm and is assigned as positive or negative for the diagnosis of otosclerosis

Interventions

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Radiologic diagnosis

Each CT scan is interpreted by a radiologist and is assigned as positive or negative for the diagnosis of otosclerosis

Intervention Type COMBINATION_PRODUCT

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

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* age over 18
* high resolution temporal bone CT scan available for analysis
* for the "case" group : surgical confirmation of positive diagnosis for otosclerosis
* for the "control" group : a first radiological analysis in favor of a normal temporal bone CT scanner and an initial radiologic report considered normal as well