Computer-Guided Ridge Split and Expansion Using an Electromagnetic Mallet

Reconstruction of Horizontal Ridge Defects

ridge defects, ridge split, electromagnetic mallet, dental implant

The current trial aims to assess the efficacy of utilizing the electromagnetic mallet either by AI-assisted digital workflow or by the conventional freehand approach for reconstruction of horizontal ridge defects utilizing the ridge-split and expansion technique.

Dental implants are a durable and long-term choice for tooth replacement to provide both functional and aesthetic benefits. However, successful implantation is critical, as it needs a sufficient amount of bone to maintain an ideal implant pathway and avoid vital structures. Vertical and horizontal ridge defects might occur after tooth extraction. The pattern of alveolar ridge defect after extraction is classified according to the Cologne Classification into horizontal, vertical, combination, and sinus defects. mild (up to 4 mm), moderate (4-8 mm), and significant (over 8 mm) atrophy. Successful implant placement is difficult to maintain with insufficient bone height and width. Many surgical techniques were introduced for the horizontally collapsed ridges, such as ridge augmentation, block graft, guided bone regeneration, and onlay graft. But these techniques need a long period of time for reconstruction, and an additional surgery is required for delayed implant placement. Among these techniques, the ridge-splitting technique was performed for treating horizontally collapsed ridges by means of splitting the deficient ridge followed by ridge expansion to accommodate simultaneous implant placement. The concept of the ridge-splitting technique is to make a self-space-making defect. The ridge-splitting technique was introduced by Tatum Jr. in 1986 and reintroduced in 1990 by Scipioni et al. In 1994, the technique was adapted by Summers, who utilized the viscoelastic properties of bone by applying pressure in-between buccal and lingual cortical bones using Summers osteotome to increase the width of the bone. The ridge-splitting technique allowed the clinician to achieve desirable results within the shortest period and provide ridge expansion with simultaneous implant placement without the need for additional surgery and increase wound healing and satisfaction of the patient. Different instruments were used for splitting, such as chisels, discs, saws, osteomes, piezo surgery, and electromagnetic mallets. The electromagnetic mallet consists of a handpiece that produces electromagnetic pulses with a rapid, non-impact motion that transmits to its tip, allowing high-intensity and precise movements with reduced trauma, minimal tissue damage, a greater safety margin, improved surgical outcomes, and faster recovery times. The precise movements make the repeatability of the procedure more applicable, which is very difficult to obtain with manual instruments. Computer-guided surgery provides predictable and accurate treatment planning and implant positioning. It permits visualizing the jawbones and vital anatomical structures for preserving them during guided surgery. Artificial intelligence (AI) refers to the ability of machines to execute tasks that traditionally require human intelligence. Enhancing the high-quality dental treatment and precision of patient management, diagnosis, and treatment planning. The current trial aims to assess the efficacy of utilizing the electromagnetic mallet either by AI-assisted digital workflow or by the conventional freehand approach for reconstruction of horizontal ridge defects utilizing the ridge-split and expansion technique.

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