Intraorbital space-occupying lesions always pose a challenge, both in terms of definite surgical removal as well as preoperative sampling for histopathological examination. Despite the use of modern high-resolution imaging techniques, the dignity of orbital lesions can often not be determined with sufficient certainty preoperatively. As the amount and complexity of treatment possibilities continue to increase, detailed diagnostics in advance of treatment choice are essential. Histological classification of orbital lesions can still be considered the gold standard for reliable diagnoses, leading to appropriate treatment. Over recent years minimally invasive surgical approaches have gained more importance in the treatment and diagnosis of cranio-maxillo-facial tumor and trauma. The aim of our study was to adapt and establish a precise procedure for orbital biopsies. 23 patients suffering from space-occupying lesions of unknown dignity were included. Trajectory-guided procedures were pre-planned for all cases. In most cases minimally invasive procedures were suitable for taking biopsies of the orbit. For only two patients a conventional, non-minimally invasive, lateral orbitotomy had to be performed. Further evaluation of the presented procedure demonstrates clearly that trajectory-guided biopsies of the orbit can be performed correctly and effectively, regardless of the suspected lesion's size.
Trajectory-guided biopsy of orbital tumor - Technology, principal considerations and clinical implementation.
M. Rana,H. Holtmann,J. Lommen,M. Rana,Alexander Zeller,N. Kübler,K. Hufendiek,E. Hermann,N. Gellrich,C. Sproll
Published 2018 in Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery
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- Publication year
2018
- Venue
Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery
- Publication date
2018-06-01
- Fields of study
Medicine, Engineering
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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