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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.
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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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 |
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| CONTROL | Random patients with a high resolution computed tomography scan of temporal bone performed without suspicion of otosclerosis and considered normal |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Radiologic diagnosis | Combination Product | Each CT scan is interpreted by a radiologist and is assigned as positive or negative for the diagnosis of otosclerosis |
|
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic performance of the artificial intelligence algorithm compared to the diagnostic performance of the radiologist : sensitivity, specificity, positive and negative predictive value, area under the ROC curve | These diagnostic performances will be established from the positive or negative diagnoses of the algorithm and the radiologist, compared to the "case" or "control" status of each patient included in the study | through study completion, an average of 5 months |
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Inclusion Criteria * :
Exclusion Criteria * :
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The study population will include cases from a group of patients who have undergone surgery for otosclerosis at the Lyon Sud hospital in France, and controls who have had a high resolution temporal bone CT scan at the Lyon Sud hospital with no clinical suspicion for otosclerosis and considered normal.
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| Name | Affiliation | Role |
|---|---|---|
| Maxime FIEUX, MD | Hospices Civils de Lyon | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hospices Civils de Lyon, Centre Hospitalier Lyon sud, Service d'ORL, d'otoneurchirurgie et de chirurgie cervico-facaile | Pierre-Bénite | 69310 | France |
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| ID | Term |
|---|---|
| D010040 | Otosclerosis |
| ID | Term |
|---|---|
| D004427 | Ear Diseases |
| D010038 | Otorhinolaryngologic Diseases |
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| Artificial intelligence diagnosis | Diagnostic Test | Each CT scan is screened by the deep learning algorithm and is assigned as positive or negative for the diagnosis of otosclerosis |
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