Outcome in patient-specific PEEK cranioplasty: A two-center cohort study of 40 implants
The best material choice for cranioplasty following craniectomy remains a subject to discussion. Complication rates after cranioplasty tend to be high. Computer-assisted 3-dimensional modelling of polyetheretherketone (PEEK) was recently introduced for cranial reconstruction. The aim of this study w...
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Published in | Journal of cranio-maxillo-facial surgery Vol. 44; no. 9; pp. 1266 - 1272 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Scotland
Elsevier Ltd
01.09.2016
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Subjects | |
Online Access | Get full text |
ISSN | 1010-5182 1878-4119 1878-4119 |
DOI | 10.1016/j.jcms.2016.07.005 |
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Summary: | The best material choice for cranioplasty following craniectomy remains a subject to discussion. Complication rates after cranioplasty tend to be high. Computer-assisted 3-dimensional modelling of polyetheretherketone (PEEK) was recently introduced for cranial reconstruction. The aim of this study was to evaluate patient- and surgery-related characteristics and risk factors that predispose patients to cranioplasty complications.
This retrospective study included a total of 40 cranial PEEK implants in 38 patients, performed at two reference centers in the Netherlands from 2011 to 2014. Complications were registered and patient- and surgery-related data were carefully analysed.
The overall complication rate of PEEK cranioplasty was 28%. Complications included infection (13 %), postoperative haematoma (10 %), cerebrospinal fluid leak (2.5 %) and wound-related problems (2.5 %). All postoperative infections required removal of the implant. Nonetheless removed implants could be successfully re-used after re-sterilization.
Although overall complication rates after PEEK cranioplasty remain high, outcomes are satisfactory, as our results compare favourably to recent literature reports on cranial vault reconstruction. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1010-5182 1878-4119 1878-4119 |
DOI: | 10.1016/j.jcms.2016.07.005 |