Clinical trial · Interventional
Assessment of Accuracy and Aesthetics Following Automated Mandibular Defect Reconstruction Using AI
Assessment of Accuracy and Aesthetics Following Automated Mandibular Defect Reconstruction Using Artificial Intelligence: A Case Series Study
NCT06945692CI-TRIAL-00088909not yet recruitingN/AClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The Aim of the study is to evaluate Accuracy of automated mandibular defect reconstruction using Artificial intelligence and assessing impact on aesthetic and occlusion outcomes using patient-specific reconstruction plates.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Mandibular Tumor | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| patient specific reconstruction plates | Procedure | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- Patient specific reconstruction plates
- description
- Patients with benign lesions indicated for resection and resulting in mandibular continuity defects treated with patient specific reconstruction plates.
- interventionNames
- Procedure: patient specific reconstruction plates
Primary outcomes (2)
- measure
- Accuracy Of the virtually Generated 3D model using AI
- timeFrame
- baseline
- description
- The measuring device is the AI model using the Percentage as a unit
- measure
- Accuracy of AI generated model clinically
- timeFrame
- baseline
- description
- The measuring device is by Superimposition of both virtual 3-d generated model and real patient CT post operative using software ( blender ) . ( Structural Similarity Index) (SSIM)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 55 Years
Show eligibility criteria text
Inclusion Criteria: * Patients with mandibular tumors, cysts or any benign disease resulting in mandibular continuity defect. * Age group: from 18 - 55 years old. * No sex predilection. * CTs or CBCTs of only healthy mandibles from an online database and real data. Exclusion Criteria: * Patients with mandibular malignant lesions. * Children age group from 2-17. * CTs Of maxilla. * Elderly patients to be excluded due to the normal physiologic bony change.
References
Publications (2)
- BACKGROUNDLiang Y, Huan J, Li JD, Jiang C, Fang C, Liu Y. Use of artificial intelligence to recover mandibular morphology after disease. Sci Rep. 2020 Oct 2;10(1):16431. doi: 10.1038/s41598-020-73394-5. PMID 33009429
- BACKGROUNDvan Baar GJC, Forouzanfar T, Liberton NPTJ, Winters HAH, Leusink FKJ. Accuracy of computer-assisted surgery in mandibular reconstruction: A systematic review. Oral Oncol. 2018 Sep;84:52-60. doi: 10.1016/j.oraloncology.2018.07.004. Epub 2018 Jul 20. PMID 30115476