Please note that the copy function is not enabled for this field.
If you wish to
modify
existing outcomes, please copy and paste the current outcome text into the Update field.
LOGIN
CREATE ACCOUNT
LOGIN
CREATE ACCOUNT
MY TRIALS
REGISTER TRIAL
FAQs
HINTS AND TIPS
DEFINITIONS
Trial Review
The ANZCTR website will be unavailable from 1pm until 3pm (AEDT) on Wednesday the 30th of October for website maintenance. Please be sure to log out of the system in order to avoid any loss of data.
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been endorsed by the ANZCTR. Before participating in a study, talk to your health care provider and refer to this
information for consumers
Download to PDF
Trial registered on ANZCTR
Registration number
ACTRN12623000327684p
Ethics application status
Submitted, not yet approved
Date submitted
11/03/2023
Date registered
28/03/2023
Date last updated
28/03/2023
Date data sharing statement initially provided
28/03/2023
Type of registration
Prospectively registered
Titles & IDs
Public title
Teleorthodontics & Artificial Intelligence in Orthodontic Screening and Treatment (Part 2)
Query!
Scientific title
The effectiveness of Teledentistry & Artificial Intelligence in orthodontic referral screening and treatment of Australian adolescents and adults: a randomised controlled trial (Part 2: treatment)
Query!
Secondary ID [1]
309181
0
Nil
Query!
Universal Trial Number (UTN)
Query!
Trial acronym
TAIT
Query!
Linked study record
Query!
Health condition
Health condition(s) or problem(s) studied:
Malocclusion
329313
0
Query!
Condition category
Condition code
Oral and Gastrointestinal
326257
326257
0
0
Query!
Other diseases of the mouth, teeth, oesophagus, digestive system including liver and colon
Query!
Intervention/exposure
Study type
Interventional
Query!
Description of intervention(s) / exposure
Participants in the intervention group will have treatment with braces and be recalled based on the recommendations of the AI-guided Dental Monitoring(TM) system. This system uses a smartphone application that allows patients to take accurate intraoral photos, software that measures individual tooth movements and an internet-based interface where the clinician can monitor patient records and correspond with the patient. Participants will provide intraoral photographs once weekly, with each "scan" taking approximately 5 minutes. Participants will be provided standardised instructions on how to use the DM system. Participants will use the DM system until the levelling and alignment stage of treatment is completed. On average, this takes 6 to 8 months. Reminders for the patient to submit their scans will be sent via the DM application, and the researchers will be notified if participants fail to submit their intraoral photos.
The DM system assesses when an orthodontic archwire is passive, indicating that the patient is ready to be recalled for the placement of the next archwrie.
Query!
Intervention code [1]
325624
0
Treatment: Devices
Query!
Comparator / control treatment
Patients in the control group will be recalled for braces adjustment appointments following a conventional recall schedule (every 6 weeks).
Query!
Control group
Active
Query!
Outcomes
Primary outcome [1]
334134
0
Number of appointments required and time to levelling and alignment compared between AI-guided and conventional scheduling groups. This is a composite outcome. The data will be collected using a specifically designed data collection form. Additionally, appointment dates and number of appointments are automatically recorded in the Sydney Dental Hospital electronic patient management system, Titanium Web. This will be cross-checked with the data collection form to ensure accuracy in number of appointments and duration of treatment recorded in the data collection form.
Query!
Assessment method [1]
334134
0
Query!
Timepoint [1]
334134
0
At the end of the levelling and alignment stage of orthodontic treatment
Query!
Secondary outcome [1]
419443
0
Patient satisfaction with AI-guided compared with conventional scheduling orthodontic treatment. 5-point Likert scale, questionnaire designed specifically for this study. Participants/carers will also provide data on time off work/school and method of transport for travel.
Query!
Assessment method [1]
419443
0
Query!
Timepoint [1]
419443
0
At the end of the levelling and alignment stage of orthodontic treatment
Query!
Secondary outcome [2]
419444
0
Change in waiting time for orthodontic treatment appointment. Using the specifically designed data collection form, the time taken for each face-to-face eligibility assessment and teleorthodontic assessment will be recorded and the average calculated. The change in wait time will calculated based on the change in number of unnecessary face-to-face screening appointments and the average duration of each assessment type.
Query!
Assessment method [2]
419444
0
Query!
Timepoint [2]
419444
0
At the end of the levelling and alignment stage of orthodontic treatment
Query!
Secondary outcome [3]
419445
0
Cost effectiveness of AI-guided compared to conventional scheduling orthodontic treatment. This will be calculated based on: clinician and ancillary staff time per patient, diagnostic and treatment costs, PPE usage, patient/carer travel time and time off work). These parameters will be recorded for each patient appointment, estimated based on standard diagnostic/treatment costs, and patient/carer time will form part of the patient satisfaction survey.
Query!
Assessment method [3]
419445
0
Query!
Timepoint [3]
419445
0
At the end of the levelling and alignment stage of orthodontic treatment
Query!
Eligibility
Key inclusion criteria
• Sex: Male, female, non-binary, unspecified
• Access to smartphone: Routine access to smartphone capable of running the DM™ application with camera functionality
• Access to email account
• Consent: Willingness to provide informed consent (or parental consent) and to participate and comply with the study requirements
• Age range: greater than or equal to 11 to 29 years of age
• Dental status: Permanent dentition
• Treatment plan: Planned for non-extraction treatment in the upper and lower arches
• Incisor relationship: Class I or Class II Division 1/2 incisor relationship (upper tooth which is in crossbite accepted provided orthodontic bracket can be bonded to the tooth and no additional space opening mechanics required to align the tooth)
• Crowding: Mandibular and maxillary anterior Little’s Irregularity Index (LII) 1-7
Query!
Minimum age
11
Years
Query!
Query!
Maximum age
29
Years
Query!
Query!
Sex
Both males and females
Query!
Can healthy volunteers participate?
Yes
Query!
Key exclusion criteria
• Participants known to the investigators
• Severely ectopic/displaced teeth
• Impacted canines requiring mechanical eruption
• Significant medical history or medication that would adversely affect the development or structure of teeth or jaws and any subsequent tooth movement
• Previous or current orthodontic or orthopaedic treatment
• Orthopaedic treatment and/or maxillary expansion required
• Craniofacial anomaly present
• Hyperdontia or hypodontia
• History of trauma, bruxism or parafunction
• Past and/or present signs and symptoms of periodontal disease
Query!
Study design
Purpose of the study
Treatment
Query!
Allocation to intervention
Randomised controlled trial
Query!
Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Central randomisation to experimental and control groups
Query!
Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Permuted block randomisation
Query!
Masking / blinding
Blinded (masking used)
Query!
Who is / are masked / blinded?
The people receiving the treatment/s
The people administering the treatment/s
The people assessing the outcomes
The people analysing the results/data
Query!
Query!
Query!
Query!
Intervention assignment
Parallel
Query!
Other design features
Query!
Phase
Not Applicable
Query!
Type of endpoint/s
Efficacy
Query!
Statistical methods / analysis
The sample size calculation was based on data from Hansa et al (2020), who found clear aligner patients monitored with DM™ had 2.26 (23%) fewer visits compared to the control (7.56 vs 9.82; P < .001). A two-tailed independent t-test using an alpha of 0.05 and 80% power determined a total sample size of 40 was required (GPower 3.1 Software). To allow for a 30% drop-out rate, the total sample size was increased to n=60
Query!
Recruitment
Recruitment status
Not yet recruiting
Query!
Date of first participant enrolment
Anticipated
3/04/2023
Query!
Actual
Query!
Date of last participant enrolment
Anticipated
31/05/2023
Query!
Actual
Query!
Date of last data collection
Anticipated
29/03/2024
Query!
Actual
Query!
Sample size
Target
60
Query!
Accrual to date
Query!
Final
Query!
Recruitment in Australia
Recruitment state(s)
NSW
Query!
Recruitment hospital [1]
24264
0
Sydney Dental Hospital - Surry Hills
Query!
Recruitment postcode(s) [1]
39803
0
2010 - Surry Hills
Query!
Funding & Sponsors
Funding source category [1]
313379
0
Government body
Query!
Name [1]
313379
0
Sydney Local Health District
Query!
Address [1]
313379
0
King George Building V, RPA
83/117 Missenden Rd, Camperdown NSW 2050
Query!
Country [1]
313379
0
Australia
Query!
Primary sponsor type
Other
Query!
Name
Sydney Local Health District
Query!
Address
King George Building V, RPA
83/117 Missenden Rd, Camperdown NSW 2050
Query!
Country
Australia
Query!
Secondary sponsor category [1]
315142
0
None
Query!
Name [1]
315142
0
Query!
Address [1]
315142
0
Query!
Country [1]
315142
0
Query!
Ethics approval
Ethics application status
Submitted, not yet approved
Query!
Ethics committee name [1]
312596
0
RPA HREC - Clinical Trials Sub-Committee
Query!
Ethics committee address [1]
312596
0
Research Ethics and Governance Office (REGO) Royal Prince Alfred Hospital Missenden Road CAMPERDOWN NSW 2050
Query!
Ethics committee country [1]
312596
0
Australia
Query!
Date submitted for ethics approval [1]
312596
0
20/02/2023
Query!
Approval date [1]
312596
0
Query!
Ethics approval number [1]
312596
0
Research Ethics and Governance Office
Query!
Summary
Brief summary
This study evaluates teledentistry and artificial intelligence (AI) in the screening of new orthodontic referrals as well as during braces treatment in Australian adolescents and adults. Its goal is to improve access to public orthodontic services. Participants will submit photos using a smartphone-compatible platform called Dental Monitoring (DM). . 30 participants treated with braces will be recalled every 6 weeks and another 3o will be recalled when DM recommends it. Groups will be compared by number of appointments needed to complete the levelling and alignment stage of treatment . Patient satisfaction, reduction in waiting lists and the costeffectiveness will also be assessed.
Query!
Trial website
Query!
Trial related presentations / publications
Query!
Public notes
Query!
Contacts
Principal investigator
Name
125230
0
Dr Oyku Dalci
Query!
Address
125230
0
Orthodontics Department, Sydney Dental Hospital
2 Chalmers St
SURRY HILLS
2010 NSW
Query!
Country
125230
0
Australia
Query!
Phone
125230
0
+61 2 9351 8321
Query!
Fax
125230
0
Query!
Email
125230
0
[email protected]
Query!
Contact person for public queries
Name
125231
0
Maxim Milosevic
Query!
Address
125231
0
Orthodontics Department, Sydney Dental Hospital
2 Chalmers St
SURRY HILLS
2010 NSW
Query!
Country
125231
0
Australia
Query!
Phone
125231
0
+61292933389
Query!
Fax
125231
0
Query!
Email
125231
0
[email protected]
Query!
Contact person for scientific queries
Name
125232
0
Maxim Milosevic
Query!
Address
125232
0
Orthodontics Department, Sydney Dental Hospital
2 Chalmers St
SURRY HILLS
2010 NSW
Query!
Country
125232
0
Australia
Query!
Phone
125232
0
+61292933389
Query!
Fax
125232
0
Query!
Email
125232
0
[email protected]
Query!
Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
Query!
No/undecided IPD sharing reason/comment
Query!
What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
Download to PDF