Craniofacial distraction osteogenesis (DO) is an established surgical technique for correcting complex craniofacial deformities and managing upper airway obstruction. Neurovascular complications, including injury to the inferior alveolar, infraorbital, and facial nerves, are recognized risks of the procedure. Current postoperative surveillance depends on periodic clinical examination and interval imaging, neither of which provides continuous insight into the mechanical forces transmitted to adjacent neurovascular structures during the active distraction phase. This letter examines whether implantable sensor technologies integrated with Internet of Medical Things (IoMT) infrastructure could address this monitoring gap. Micro-sensors capable of monitoring strain, pressure, and temperature at the tissue–implant interface have been demonstrated in musculoskeletal applications and are technically transferable to craniofacial distraction hardware. Continuous strain monitoring could detect abnormal force accumulation along the distraction vector before neurovascular injury thresholds are reached. Closed-loop feedback architectures could further allow dynamic modulation of distraction parameters in response to real-time physiological signals, reducing reliance on fixed-schedule activations that do not account for individual tissue response. No clinical studies have yet evaluated IoMT sensor integration in craniofacial DO, and significant barriers remain, including sensor biocompatibility, device miniaturization for pediatric use, wireless signal transmission through bone, and data security. Prospective feasibility studies are required before this approach can be considered for clinical implementation.
Ali et al. (Wed,) studied this question.
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