Use of 3D replicas as surgical guides for dental autotransplantation (movement of a tooth from one position to another)
| ISRCTN | ISRCTN13563091 |
|---|---|
| DOI | https://doi.org/10.1186/ISRCTN13563091 |
| ClinicalTrials.gov (NCT) | Nil known |
| Clinical Trials Information System (CTIS) | Nil known |
| Protocol serial number | 23.07.2022, Nr.6-1/08/12, RSU |
| Sponsor | Riga Stradiņš University |
| Funders | Rīgas Stradiņa Universitāte PhD minimal scholarship- 17-5/2022/13933, Horizon 2020 grant agreement No 857287 |
- Submission date
- 06/11/2022
- Registration date
- 30/11/2022
- Last edited
- 07/11/2024
- Recruitment status
- No longer recruiting
- Overall study status
- Ongoing
- Condition category
- Oral Health
Plain English summary of protocol
Background and study aims
Tooth loss is mainly solved by prosthetic rehabilitation or dental implants. However, these solutions are expensive and may not be affordable for the entire population. As a biological and less costly alternative, autotransplantation (i.e. using a tooth extracted from the same patient, usually a third molar, to replace a tooth that has to be extracted, usually due to tooth decay), has shown an effectiveness of 80-95%. One factor that explains the difference in survival of the auto-transplanted tooth is the time that elapses between when the tooth is extracted and re-implanted. Traditionally, when the tooth is extracted, it is used as a mould to adapt the bone site that will receive it. Adaptation of the receptor alveolus (tooth sockets) requires time and surgical skill. A surgical guide could reduce the surgical time and improve the survival results of the auto-transplanted tooth, considering that it would reduce the time it remains outside the socket. This study aims to explore the effect of using 3D replicas of the tooth to be auto-transplanted to reduce surgical time and improve the results of autotransplantation. For this purpose, a 3D cone-beam scanner is taken in selected patients to evaluate the anatomy of the tooth to be transplanted. A 3D model is then generated and printed, generating a replica that allows it to be used for the surgical adaptation or grinding of the recipient site without having to extract the donor tooth until the moment before the autotransplant, thus reducing the time it remains outside an alveolus.
Who can participate?
Patients under the age of 25 years who require the extraction of a permanent tooth, molar or premolar and who have at least one third molar
What does the study involve?
A surgeon will ask for a 3D scan of the patient's jaw to make a model of the tooth to be transplanted. Then, during the extraction of the decayed tooth, the model will be used to ensure that the self-transplanted third molar will fit snugly in place of the extracted tooth. Patients in the control group will receive conventional autotransplantation, i.e. without using a 3D replica. Each patient will be monitored at 6, 12 and 24 months.
What are the possible benefits and risks of participating?
Using one of the patient's teeth is cheaper and more biological than using dentures or dental implants. The expected adverse effects are failure of autotransplantation due to infection and pain after the surgery.
Where is the study run from?
Riga Stradins University (Latvia)
When is the study starting and how long is it expected to run for?
January 2019 to June 2026
Who is funding the study?
1. Riga Stradins University (Latvia)
2. Horizon 2020
Who is the main contact?
Dr Miks Lejnieks, Miks.Lejnieks@rsu.lv
Contact information
Principal investigator
Department of Oral and Maxillofacial Surgery
Dzirciema iela 20
Riga
LV-1007
Latvia
| 0000-0002-9903-9452 | |
| Phone | +371 (0)67455586 |
| Miks.Lejnieks@rsu.lv |
Principal investigator
Department of Oral and Maxillofacial Surgery
Dzirciema iela 20
Riga
LV-1007
Latvia
| 0000-0003-2263-1383 | |
| Phone | +371 (0)67455586 |
| Ilze.Akota@rsu.lv |
Scientific
Department of Orthodontics
Dzirciema iela 20
Riga
LV-1007
Latvia
| 0000-0003-0509-1709 | |
| Phone | +371 (0)67455586 |
| gundega.jakobsone@rsu.lv |
Scientific
Department of Conservative Dentistry and Oral Health
Dzirciema iela 20
Riga
LV-1007
Latvia
| 0000-0002-5411-5810 | |
| Phone | +371 (0)67455586 |
| laura.neimane@stomatologijasinstituts.lv |
Scientific
Department of Conservative Dentistry and Oral Health
Dzirciema iela 20
Riga
LV-1007
Latvia
| 0000-0003-0684-2025 | |
| Phone | +371 (0)67455586 |
| sergio.uribe@rsu.lv |
Study information
| Primary study design | Interventional |
|---|---|
| Study design | Non-randomized controlled clinical study |
| Secondary study design | Non randomised study |
| Study type | Participant information sheet |
| Scientific title | Effect of the use of 3D printed replicas on the surgical time of autotransplantation: a controlled clinical study |
| Study acronym | 3DATT |
| Study objectives | Hypothesis 1: The use of 3D-printed replicas decreases operative surgical time during autotransplantation. Hypothesis 2: The use of 3D-printed replicas improves the survival of auto-transplanted teeth. |
| Ethics approval(s) | Approved 23/07/2022, Research Ethics Committees of Riga Stradins University (Rīga Stradiņš University Main Building, 16 Dzirciema iela, Rīga, LV-1007, Latvia; Tel: not available; pek@rsu.lv), ref: 6-1/08/12. The ethics committee's permission indicated the possibility of including patients as historical controls, so they included patients from August 2019 onwards. |
| Health condition(s) or problem(s) studied | Tooth extraction due to extensive tooth decay |
| Intervention | Patients assigned to the procedure will have a maxillary cone-beam CT radiographic examination. The third molar or tooth to be transplanted with the imaging volume will be modelled to create a 3D-printed model. Subsequently, during surgery, the affected tooth will be extracted and the 3D model will be used to adjust the socket to receive the tooth transplanted. Once the extracted tooth's socket is adapted, the tooth to be auto-transplanted will be extracted and proceed as usual. Patients in the control group will receive conventional autotransplantation, i.e. without using a 3D replica. Patient allocation will be sequential, not randomised, and the surgeon in charge will be aware of the group assigned to the patient (it will be unblinded). Each patient will be monitored at 6, 12 and 24 months. |
| Intervention type | Procedure/Surgery |
| Primary outcome measure(s) |
Survival of the auto-transplanted tooth measured in months or years |
| Key secondary outcome measure(s) |
1. Surgical time used, measured in minutes from the first incision to the end of the last suture |
| Completion date | 01/06/2026 |
Eligibility
| Participant type(s) | Patient |
|---|---|
| Age group | Mixed |
| Upper age limit | 25 Years |
| Sex | All |
| Target sample size at registration | 49 |
| Total final enrolment | 46 |
| Key inclusion criteria | 1. Patients under the age of 25 years 2. One or more missing teeth or irreversible dental damage 3. Seeking help at the RSU Institute of Stomatology for the restoration of dental row defects 4. Have indications for autotransplantation of third molars 5. Understand the nature of the procedure and give informed consent 6. The third molars have not erupted 7. Clinically healthy 8. Good oral hygiene 9. Non-smokers |
| Key exclusion criteria | 1. Unsuccessful extraction of the donor's tooth 2. Insufficiently formed roots of third molars 3. Patients with chronic diseases 4. Pregnancy 5. The patient does not attend control visits |
| Date of first enrolment | 14/08/2019 |
| Date of final enrolment | 01/06/2025 |
Locations
Countries of recruitment
- Latvia
Study participating centre
Riga
LV-1007
Latvia
Results and Publications
| Individual participant data (IPD) Intention to share | Yes |
|---|---|
| IPD sharing plan summary | Stored in publicly available repository |
| IPD sharing plan | The data of the study will be published in the RSU data repository (https://dataverse.rsu.lv/). Access will be restricted. The name of the repository: RSU Dataverse A persistent weblink (if applicable): the final dataset has not yet been generated The type of data stored: the repository will contain a dataset with anonymised patient data in CSV format, the statistical analysis script in r format and the output of the statistical analysis in HTML format. The process for requesting access (if non-publicly available): the data will be made publicly available under CC Attribution 4.0 International (CC BY 4.0) license. Timing for availability: data expected to be available from January 2025 Whether consent from participants was required and obtained: all participants provided written consent to participate in the study. Comments on data anonymization: the data were anonymised using the R Anonymizer package (Paul Hendricks (2015). anonymizer: Anonymize Data Containing Personally Identifiable Information. R package version 0.2.0. https://github.com/paulhendricks/anonymizer). Only the principal investigator has access to the code that identifies each patient. Any ethical or legal restrictions: only those applicable to the CC Attribution 4.0 International (CC BY 4.0) licence. |
Study outputs
| Output type | Details | Date created | Date added | Peer reviewed? | Patient-facing? |
|---|---|---|---|---|---|
| Results article | 01/11/2023 | 02/11/2023 | Yes | No | |
| Results article | 06/11/2024 | 07/11/2024 | Yes | No | |
| Dataset | 05/06/2023 | No | No | ||
| Participant information sheet | Participant information sheet | 11/11/2025 | 11/11/2025 | No | Yes |
Editorial Notes
07/11/2024: Publication reference added.
04/11/2024: Publication and dissemination plan updated.
02/11/2023: Publication reference and total final enrolment added.
05/06/2023: A link to the dataset was added.
10/11/2022: Trial's existence confirmed by the Research Ethics Committees of Riga Stradins University.