A digital workflow for implant-supported fixed partial dentures using multi-dataset matching.

Area of Science:

• Dentistry
• Prosthodontics
• Digital Workflow

Background:

• Digital workflows are common in implant prosthodontics.
• Achieving passive fit in implant-supported fixed partial dentures (FPDs) is challenging due to intraoral scanning errors and lack of physical casts.
• These issues can cause positional discrepancies and affect prosthetic accuracy.

Purpose of the Study:

• To describe a digital workflow for implant-supported FPDs using stepwise multi-dataset matching.
• To improve prosthetic accuracy and passive fit in digital implant prosthodontics.
• To combine biologic safety with clinical efficiency in FPD fabrication.

Main Methods:

• A preoperative complete-arch scan is used as the baseline dataset.
• Intraoperative scans with scan bodies are matched to the baseline for interim restoration design.
• Definitive restoration fabrication involves matching chairside and lab scans with the baseline using a verification index.

Main Results:

• The described stepwise multi-dataset matching protocol aims to improve prosthetic accuracy.
• This digital workflow limits reliance on repeated wide-span intraoral scanning.
• It supports the predictability of passive fit for implant-supported FPDs.

Conclusions:

• The proposed digital workflow enhances clinical efficiency and prosthetic accuracy in implant-supported FPD fabrication.
• Stepwise multi-dataset matching addresses limitations of current digital workflows.
• This protocol supports predictable passive fit by integrating verified implant positions and adjusted morphology.