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Turk Neurosurg ; 31(1): 142-147, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-33372259

RESUMEN

AIM: To present one-step customized cranioplasty for intraosseous meningiomas. CASE DESCRIPTION: The authors report the case of a 54-year-old woman with a consequent frontal intraosseous meningioma invading the superior sagittal sinus. The patient only suffered from local pain and cosmetic damage. A complete resection was scheduled with a one-step reconstruction of the frontal bone by a polyetheretherketone (PEEK) specific implant. This implant was computer-assisted designed and manufactured and verified by the surgeon before the intervention. During surgery, the resection was guided by a computer designed resection template and by the classic neuronavigation system. Cranioplasty has been considered optimal intraoperatively by surgeons. The patient, a few weeks after surgery, underwent a subcutaneous fluid collection, rapidly resolutive with a circumferential pressure bandage. Six months after surgery, the patient considered the surgery a success with a very good cosmetic result and a total regression of her local pain. CONCLUSION: One-step computer-assisted cranioplasty is a safe and effective procedure for large skull defects. PEEK specific implant for cranioplasty offer advantages compared to other materials that will be discussed under the scope of the one-step reconstruction.


Asunto(s)
Cetonas/administración & dosificación , Neoplasias Meníngeas/cirugía , Meningioma/cirugía , Polietilenglicoles/administración & dosificación , Impresión Tridimensional , Prótesis e Implantes , Neoplasias Craneales/cirugía , Benzofenonas , Materiales Biocompatibles/administración & dosificación , Femenino , Hueso Frontal/diagnóstico por imagen , Hueso Frontal/cirugía , Humanos , Neoplasias Meníngeas/diagnóstico por imagen , Meningioma/diagnóstico por imagen , Persona de Mediana Edad , Neuronavegación/métodos , Polímeros , Procedimientos de Cirugía Plástica/métodos , Cráneo/diagnóstico por imagen , Cráneo/cirugía , Neoplasias Craneales/diagnóstico por imagen
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