Narrative review reveals guided implant placement shows lower angular deviations in the esthetic zone, suggesting improved results compared to freehand methods.
Background: Accurate implant positioning is a critical determinant of functional and esthetic outcomes, particularly in the anterior maxilla. In recent years, digital workflows have introduced guided surgical techniques intended to enhance the precision of implant placement. Despite their growing popularity, a clear understanding of how these approaches compare to traditional freehand methods in terms of accuracy and clinical outcomes remains essential for evidence-based practice. Objective: This narrative review aims to compare the accuracy of guided and freehand implant placement techniques in the esthetic zone, focusing on angular, apical, and coronal deviations, and to evaluate their impact on clinical and esthetic results. Methods: A comprehensive literature search was conducted using PubMed to identify clinical and in vitro studies published between 2010 and 2024 that compared guided and freehand implant placement techniques. Studies were included if they reported quantitative data on implant placement accuracy or esthetic outcomes in the anterior region. Results: The reviewed evidence consistently shows that guided implant placement—particularly using fully digital workflows and static or dynamic navigation systems—achieves significantly lower angular and linear deviations compared to freehand techniques. Robotic-assisted and machine vision-guided systems demonstrated the highest levels of precision. Esthetic outcomes, especially soft tissue stability and prosthetic emergence profiles, were also favorably influenced by accurate implant positioning. However, guided surgery presents limitations such as reliance on data quality, increased cost, and technical complexity. Conclusion: Guided implant surgery offers superior accuracy over freehand techniques in the esthetic zone and contributes to improved prosthetic and esthetic outcomes. Nevertheless, clinical judgment, experience, and case-specific considerations remain essential for optimal treatment planning. Fu
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Jebali et al. (2025) studied this question.
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