Interproximal Reduction Planning With Digital Overlap Analysis
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Solution Overview
Problem
Dental treatments face challenges in determining the necessity and timing of interproximal reduction (IPR) procedures, leading to inaccurate material removal, poor access, and undesired tooth shapes due to residual crowding and misalignment.
Innovation Solution
A computing device-based method for interproximal reduction planning that identifies overlapping teeth in a digital dental model, aligns reference lines, and prescribes IPR at optimal stages to ensure accurate and efficient tooth alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If IPR procedure is conducted without digital planning and timing optimization, then treatment can proceed quickly, but material removal accuracy deteriorates leading to undesired tooth shapes and poor fit
Solution Approach 1:
The system performs preliminary digital planning of IPR procedures by creating a digital twin of the patient's dentition, simulating tooth movements, and pre-determining optimal IPR timing and material removal amounts before actual treatment begins. This advance planning ensures accurate material removal while maintaining treatment workflow efficiency.
Solution Approach 2:
The system creates a digital copy (digital twin) of the patient's actual dentition that can be manipulated and analyzed computationally. This digital replica allows for virtual simulation of orthodontic treatments and IPR procedures, enabling precise planning without affecting the actual teeth until the optimal treatment stage is reached.
2Ease of operation
If IPR procedure is performed without optimal timing determination, then treatment can be simplified, but access to tooth surfaces deteriorates leading to poor procedural access and additional corrective procedures
Solution Approach 1:
The system continuously monitors tooth position and treatment progression through digital modeling, providing feedback on whether optimal IPR timing has been achieved. This feedback mechanism ensures that IPR is performed at the most advantageous moment when tooth access is maximized, eliminating the need for additional corrective procedures.
3Measurement precision
If traditional manual determination of IPR necessity is used, then treatment decision-making is simple, but determination accuracy deteriorates leading to unnecessary or missed IPR procedures
Solution Approach 1:
The system replaces manual visual assessment and physical measurement methods with computational algorithms that automatically analyze digital dental models. These algorithms precisely calculate space requirements, predict tooth movement outcomes, and determine IPR necessity and timing with superior accuracy compared to traditional manual methods.
Data Source
AI summary
Methods and systems for IPR planning. One method includes identifying an overlap between a first tooth and a second tooth in a patient's dentition at a target position of a treatment plan; identifying first and second ridge endpoint reference lines on each of the first tooth and the second tooth; calculating a distance difference between the first and second ridge endpoint reference lines; determining that the distance difference is outside a threshold difference; revising the treatment plan by adding one or more stages to the treatment plan where the distance difference between the first and second ridge endpoint reference lines is within the threshold difference; and prescribing IPR on one or both of the first and second teeth at the one or more additional stages of the treatment plan.