RadiographyNCT04894201
Deep Learning to Summarize Findings in Dental Panoramic Radiographs
An observational study of Radiography and Digital, run by National Taiwan University Hospital at 1 site in Taiwan.
Trial summary
In this work, the investigators study the application of artificial intelligence systems on dental panoramic images for dental findings. An artificial intelligence system will be learned on an publicly available panoramic image dataset, and test against the investigators' local patient cohort as external test data. Read more about this study
- Who is it for?
- Ages 20 to 100 yearsHealthy volunteers can take part
- Conditions the study is for
- Radiography, Digital, Dental Diseases
- What is being tested?
- Dental Panoramic Radiographs
- Type of treatment
- Surgery or procedure
- How many people
- 1,000 participants
- Where
- 1 siteTaiwan
- Study dates
- 7 May 2021to May 2023
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 20 to 100 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: all patients with panoramic image exposure and not with exclusion criteria
Who may be able to join
None listed.
Who cannot join
- patients under 20 or with primary teeth
- patients with non-removable metal accessory above neck, such as tongue ring, nose ring etc.
- patients with mandible or maxilla deformation
Trial locations and contacts
1 site in 1 country.
About this study
In this work, the investigators study the application of artificial intelligence systems on dental panoramic images for dental findings. An artificial intelligence system will be learned on an publicly available panoramic image dataset, and test against the investigators' local patient cohort as external test data. The investigators hypothesize the performance would be similar, if not identical to on the public data, and that the investigators' AI system is generalizable.
- Conditions
- Radiography, Digital, Dental Diseases, Dentist-Patient Relations
- Being tested
- Dental Panoramic Radiographs
- Medical subject headings
- Stomatognathic Diseases
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Dental Panoramic RadiographsRadiation
Exposure to dental panoramic radiographs
| Study group | Role | What they receive |
|---|---|---|
| All patients with relevant dental findings | Not described Receives: Radiation: Dental Panoramic Radiographs |
What is being measured
The primary outcome is the main question the study is designed to answer.
Area Under Curve for Receiver Operating Characteristics of Clinical Findings
The investigators use the AI model to infer whether a clinical finding (out of the six type of findings the investigators are interested in) is present in an imaging study from the test set. The result is compared against expert annotation and evaluated for receiver operating characteristics over the whole set. The area under curve will then be calculated and averaged across six type of findings to represent the overall efficacy of the model on detecting findings from panoramic images. From a scale of zero to one, zero is the worst this metric can be and one is the best.
Measured: 1 day
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted20 May 2021
- Study start7 May 2021
- Primary completionDec 2021 (estimated)
- Study completionMay 2023 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for RadiographyStudies of the same condition, open and under way.
- More trials run by National Taiwan University HospitalThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 1,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- National Taiwan University Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04894201
- Sponsor's protocol ID
- 202102018RINB
- Status last verified
- May 2021
- First submitted
- 9 May 2021
- Last updated
- 20 May 2021
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 20 May 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Deep Learning to Summarize Findings in Dental Panoramic Radiographs
- ClinicalTrials.gov ID
- NCT04894201
- Acronym / sponsor ID
- 202102018RINB
- Conditions
- Radiography, Digital, Dental Diseases, Dentist-Patient Relations
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 1,000 participants (estimated)
- Lead sponsor
- National Taiwan University HospitalUniversity, hospital or other
- Study start
- 7 May 2021 (actual)
- Primary completion
- Dec 2021 (estimated)
- Study completion
- May 2023 (estimated)
- First posted
- 20 May 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
In this work, the investigators study the application of artificial intelligence systems on dental panoramic images for dental findings. An artificial intelligence system will be learned on an publicly available panoramic image dataset, and test against the investigators' local patient cohort as external test data. The investigators hypothesize the performance would be similar, if not identical to on the public data, and that the investigators' AI system is generalizable.
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| All patients with relevant dental findings | – | Radiation: Dental Panoramic Radiographs |
Who may qualify
- Ages
- 20 to 100 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- all patients with panoramic image exposure and not with exclusion criteria
Key inclusion criteria (0 listed)
Key exclusion criteria (3 listed)
- patients under 20 or with primary teeth
- patients with non-removable metal accessory above neck, such as tongue ring, nose ring etc.
- patients with mandible or maxilla deformation
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Dental Panoramic RadiographsExposure to dental panoramic radiographs | Radiation | All patients with relevant dental findings |
Primary outcome
Area Under Curve for Receiver Operating Characteristics of Clinical Findings
Time frame: 1 day
The investigators use the AI model to infer whether a clinical finding (out of the six type of findings the investigators are interested in) is present in an imaging study from the test set. The result is compared against expert annotation and evaluated for receiver operating characteristics over the whole set. The area under curve will then be calculated and averaged across six type of findings to represent the overall efficacy of the model on detecting findings from panoramic images. From a scale of zero to one, zero is the worst this metric can be and one is the best.
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 20 May 2021.
- Individual participant dataSharing planned: No
Related trials for Radiography
Not yet recruitingObservational study
Accuracy of AI in Positional Classification Between Lower Third Molar and Mandibular Canal
As a Decision-support Tool During Preoperative Assessment
RecruitingPhase 3
First-line Immunotherapy-based Standard of Care and Local Ablative Treatments for Oligometastatic Non-small Cell Lung Cancer Patients.
Oligometastatic Non-small Cell Lung Cancer (NSCLC)
RecruitingObservational study
Multimodal Assessment of Sarcopenia Using Shear Wave Elastography, Dual-Energy X-ray Absorptiometry, Bioelectrical Impedance Analysis, and Physical Performance Measures
Sacropenia
Not yet recruiting
Study of Monochromatic X-ray Mammography System
Breast Imaging, Breast Cancer
Recruiting
More Than Just X-Rays - Imaging of Chemotherapy-induced Morphological and Functional Cardiovascular and Lung Changes After Childhood ALL and Other Cancers - a Monocentric Late Effects Study (MaximALL)
Acute Lymphatic Leukemia, Lymphoma
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Radiography and Digital, run by National Taiwan University Hospital at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 0 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 20 May 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Area Under Curve for Receiver Operating Characteristics of Clinical Findings (time frame: 1 day). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 20 May 2021.