Tooth wear detection aid

Investigating the utility of 3D intraoral scan imaging to score tooth wear compared to visual clinical assessment

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

ISRCTN

Registry ID

ISRCTN16797270

Enrollment

Registered

2024-06-14

Start date

2024-06-07

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Tooth wear in a variety of severity from none to severe Oral Health

Interventions

The patient will be screened according to the inclusion and exclusion criteria - they may have varying degrees of tooth wear. The clinician will then perform the 3D intraoral scan (using CE-marked equ

Eligibility

Sex/Gender

All

Age

18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1. Participant is willing and able to give informed consent for participation in the study 2. Male or Female, adults aged 18 years or above 3. A minimum of 20 natural teeth present (10 teeth in each jaw) 4. Able (in the Investigators opinion) and willing to comply with all study requirements

Exclusion criteria

Exclusion criteria: 1. Patients with extensive restorative or prosthodontic treatment (greater than 4 crowned teeth) 2. Extensive active dental decay 3. Periodontally mobile teeth 4. Trismus (i.e., inability to open the mouth wide) 5. Presence of orthodontic brackets or clear aligner attachments

Design outcomes

Primary

Measure	Time frame
Tooth wear measured using intraoral 3D scanner and standard clinical visually-derived direct scoring at baseline and 2 weeks	—

Secondary

Measure	Time frame
1. To assess diagnostic accuracy of an algorithm on tooth wear detection on patient-level by dichotomous outcome (tooth wear: yes/no) compared to the clinical reference standard scoring of tooth wear (BEWE sum score cut-off 0-2 vs. 3-18) 2. To assess diagnostic accuracy of an algorithm on tooth wear detection on tooth-level by dichotomous outcome (tooth wear: yes/no) compared to the clinical reference standard scoring of tooth wear (BEWE score 0-1 vs. 2-3) 3. To assess diagnostic accuracy of an algorithm on dentin exposure detection on tooth-level by dichotomous outcome (dentin exposure: yes/no) compared to the clinical reference standard scoring of dentine exposure (dentine exposure: yes/no) 4. To determine the inter- (reproducibility) and intra-examiner (repeatability) of the reference standard on-scan assessment by 2 different examiners 5. To determine the reproducibility of an algorithm’s detection of tooth wear on-scan compared to on-scan assessment performed by examiners 6. To determine the repeatability of an algorithm’s detection of tooth wear	—

Measure

Time frame

1. To assess diagnostic accuracy of an algorithm on tooth wear detection on patient-level by dichotomous outcome (tooth wear: yes/no) compared to the clinical reference standard scoring of tooth wear (BEWE sum score cut-off 0-2 vs. 3-18) 2. To assess diagnostic accuracy of an algorithm on tooth wear detection on tooth-level by dichotomous outcome (tooth wear: yes/no) compared to the clinical reference standard scoring of tooth wear (BEWE score 0-1 vs. 2-3) 3. To assess diagnostic accuracy of an algorithm on dentin exposure detection on tooth-level by dichotomous outcome (dentin exposure: yes/no) compared to the clinical reference standard scoring of dentine exposure (dentine exposure: yes/no) 4. To determine the inter- (reproducibility) and intra-examiner (repeatability) of the reference standard on-scan assessment by 2 different examiners 5. To determine the reproducibility of an algorithm’s detection of tooth wear on-scan compared to on-scan assessment performed by examiners 6. To determine the repeatability of an algorithm’s detection of tooth wear

—

Countries

England, United Kingdom

Contacts

Public ContactSaoirse O'Toole

saoirse.otoole@kcl.ac.uk+44 7913314234

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Jul 3, 2026