- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07552051
Reproducibility of Dental Bite Mark Overlay Analysis Using Digital 3D Models in Adult Participants (OVERLAY-REPRO)
Reproducibility and Repeatability of Digital Overlay Techniques in Bite Mark Morphological Analysis: An Observational Study Using 3D Dental Models
This study aims to evaluate the reproducibility and repeatability of a standardized digital overlay protocol used in forensic odontology for bite mark analysis. Bite mark analysis methods have been increasingly questioned due to concerns about their scientific reliability. This study focuses on the methodological evaluation of an overlay generation protocol independently of biological trace interpretation.
Thirty adult participants requiring routine dental care involving intraoral scanning will be included. A digital impression of the maxillary dentition will be obtained using a standard intraoral scanner, which is a non-invasive and routine clinical procedure.
Digital dental models will be anonymized and processed using dedicated software to generate overlays. Four operators with different levels of expertise will independently perform the overlay procedure at two separate time points.
The study will assess intra-operator repeatability and inter-operator reproducibility using quantitative 2D and 3D metrics. The objective is to determine the variability of the protocol and to contribute to the standardization and reliability of overlay-based analyses in forensic dentistry.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This is a prospective methodological study designed to evaluate the reproducibility and repeatability of a standardized digital overlay protocol used in forensic odontology.
Background:
Bite mark analysis has been increasingly challenged due to concerns regarding its scientific validity and reliability. In this context, there is a need to assess the methodological robustness of tools used in this field, particularly digital overlay techniques used for comparison purposes.
Objectives:
The primary objective is to assess intra-operator repeatability and inter-operator reproducibility of a standardized overlay generation protocol. Secondary objectives include evaluating the influence of operator expertise and testing quantitative metrics for overlay comparison.
Methods:
Thirty adult participants undergoing routine dental care involving intraoral scanning will be recruited. Participation involves a single, non-invasive intraoral scan of the maxillary dentition, performed using a standard optical scanner.
Digital dental models will be anonymized and exported in STL and PLY formats. A standardized overlay protocol will then be applied using CloudCompare and complementary image processing software.
Four operators with different levels of expertise will independently generate overlays from each model at two separate time points (T1 and T2), spaced by several days, in order to assess repeatability and reproducibility.
Outcome Measures:
Quantitative analysis will be performed using 2D and 3D metrics, including distances between point clouds, root mean square deviation (RMS), and surface overlap measurements.
Data Management:
Only anonymized digital models and limited demographic data (age and sex) will be collected. Data will be stored on secure systems with restricted access and will not be transferred outside the European Union.
Ethics:
The study involves minimal risk, as intraoral scanning is a routine, non-invasive procedure. No biological samples are collected, and no additional interventions are performed beyond standard care.
Significance:
This study aims to provide objective data on the variability of overlay generation methods and to contribute to the standardization and scientific reliability of forensic dental analyses.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Alexandra Poinas, PhD
- Phone Number: +33 2 53 48 28 57
- Email: alexandra.poinas@chu-nantes.fr
Study Contact Backup
- Name: Lise Malfroy-Camine, MD, PhD
- Phone Number: +33 6 76 87 10 79
- Email: lise.malfroy@gmail.com
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age ≥18 years
- Patients requiring dental care including intraoral optical scan
- Able to understand the study and provide informed consent
- Sufficient dentition allowing usable maxillary scan
Exclusion Criteria:
- Age <18 years
- Individuals under legal protection (guardianship or curatorship)
- Oral conditions preventing intraoral scanning
- Refusal to participate
- Completely edentulous patients
- Partially edentulous patients (>8 missing maxillary teeth)
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Participants undergoing digital dental model analysis
Single cohort of adult participants undergoing a single intraoral digital scan.
Digital models are subsequently analysed by four independent operators at two separate time points (T1 and T2) to assess intra- and inter-operator reproducibility.
|
Standardized overlay protocol applied to digital dental models (STL/PLY files).
Each model is analysed twice by each of four operators at two separate time points (T1 and T2) to assess intra- and inter-operator reproducibility.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Intra-operator Reproducibility of Overlay Concordance Measurements
Time Frame: Baseline and Day 7 (±2 days)
|
Agreement between repeated overlay analyses performed by the same operator on the same digital maxillary model across two measurement sessions
|
Baseline and Day 7 (±2 days)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Inter-operator Reproducibility of Overlay Concordance Measurements
Time Frame: Baseline and Day 7 (±2 days)
|
Agreement between overlay analyses performed by different operators on the same digital maxillary model, assessed using quantitative concordance indicators generated from the standardized overlay protocol.
|
Baseline and Day 7 (±2 days)
|
|
Distance Between Point Clouds in 3D Overlay Analysis
Time Frame: Baseline and Day 7 (±2 days)
|
Three-dimensional distance between point clouds generated during overlay comparison of digital maxillary models, assessed using dedicated 3D analysis software.
Higher values indicate greater discrepancy between overlays.
|
Baseline and Day 7 (±2 days)
|
|
Surface Overlap in Digital Overlay Analysis
Time Frame: Baseline and Day 7 (±2 days)
|
Surface overlap measured during comparison of digital maxillary overlays using standardized image processing and 3D analysis methods.
Higher values indicate greater overlap between overlays.
|
Baseline and Day 7 (±2 days)
|
|
Influence of Operator Expertise on Overlay Reproducibility
Time Frame: Baseline and Day 7 (±2 days)
|
Comparison of overlay reproducibility metrics according to operator expertise level across repeated analyses of the same digital maxillary models.
|
Baseline and Day 7 (±2 days)
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- AP_LMC_SG_OVERLAY-REPRO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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