NCT04894201

Brief 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. The investigators hypothesize the performance would be similar, if not identical to on the public data, and that the investigators' AI system is generalizable.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
1,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started May 2021

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

May 7, 2021

Completed
2 days until next milestone

First Submitted

Initial submission to the registry

May 9, 2021

Completed
11 days until next milestone

First Posted

Study publicly available on registry

May 20, 2021

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2021

Completed
1.4 years until next milestone

Study Completion

Last participant's last visit for all outcomes

May 1, 2023

Completed
Last Updated

May 20, 2021

Status Verified

May 1, 2021

Enrollment Period

7 months

First QC Date

May 9, 2021

Last Update Submit

May 16, 2021

Conditions

Outcome Measures

Primary Outcomes (1)

  • 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.

    1 day

Study Arms (1)

All patients with relevant dental findings

Radiation: Dental Panoramic Radiographs

Interventions

Exposure to dental panoramic radiographs

All patients with relevant dental findings

Eligibility Criteria

Age20 Years - 100 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

all patients with panoramic image exposure and not with exclusion criteria

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

National Taiwan University Hospital

Taipei, 100, Taiwan

Location

MeSH Terms

Conditions

Stomatognathic Diseases

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

May 9, 2021

First Posted

May 20, 2021

Study Start

May 7, 2021

Primary Completion

December 1, 2021

Study Completion

May 1, 2023

Last Updated

May 20, 2021

Record last verified: 2021-05

Data Sharing

IPD Sharing
Will not share

Locations