3D patient specific implants for cranioplasty

Lădaru, Anca; Moisa, Horaţiu Alexandru; Ciurea, Alexandru Vlad

doi:10.33962/roneuro-2019-046

Cited by 1 publication

(1 citation statement)

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“…In general, the decision of material and thickness still depends on quality of the patient's native bone and is thus patient‐specific. This highlights the importance of the collaboration between medical engineers designing implants and the surgeon to choose the appropriate combination of material and thickness in patient‐specific implants (Ladaru et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Thickness accuracy of virtually designed patient‐specific implants for large neurocranial defects

et al. 2021

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The combination of computer‐aided design (CAD) techniques based on computed tomography (CT) data to generate patient‐specific implants is in use for decades. However, persisting disadvantages are complicated design procedures and rigid reconstruction protocols, for example, for tailored implants mimicking the patient‐specific thickness distribution of missing cranial bone. In this study we used two different approaches, CAD‐ versus thin‐plate spline (TPS)‐based implants, to reconstruct extensive unilateral and bilateral cranial defects in three clinical cases. We used CT data of three complete human crania that were virtually damaged according to the missing regions in the clinical cases. In total, we carried out 132 virtual reconstructions and quantified accuracy from the original to the generated implant and deviations in the resulting implant thickness as root‐mean‐square error (RMSE). Reconstructions using TPS showed an RMSE of 0.08–0.18 mm in relation to geometric accuracy. CAD‐based implants showed an RMSE of 0.50–1.25 mm. RMSE in relation to implant thickness was between 0.63 and 0.70 mm (TPS) while values for CAD‐based implants were significantly higher (0.63–1.67 mm). While both approaches provide implants showing a high accuracy, the TPS‐based approach additionally provides implants that accurately reproduce the patient‐specific thickness distribution of the affected cranial region.

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Section: Introductionmentioning

confidence: 99%