Challenging the osseous component of sphenoorbital meningiomas.


Journal

Acta neurochirurgica
ISSN: 0942-0940
Titre abrégé: Acta Neurochir (Wien)
Pays: Austria
ID NLM: 0151000

Informations de publication

Date de publication:
11 2019
Historique:
received: 08 06 2019
accepted: 12 07 2019
pubmed: 2 8 2019
medline: 19 5 2020
entrez: 2 8 2019
Statut: ppublish

Résumé

Intraosseous growth is a unique feature of sphenoorbital meningiomas (SOM). Its close relation to neurovascular structures limits complete surgical resection and possibly contributes to the high recurrence rate. To evaluate the growth behavior of intraosseous remnants and develop a protocol for precise intraoperative visualization of intraosseous SOM. We included 31 patients operated for SOM from 2004 to 2017. The growth velocity of the intraosseous tumor component was volumetrically calculated in 20 cases. To improve accuracy of image guidance, we implemented a specialized bone surface-based registration algorithm. For intraoperative bone visualization, we included CT in multimodality continuous image guidance in 23 patients. The extent of resection (EOR) was compared with a standard MR-only navigation group (n = 8). In 11/20 cases (55%), a progressive regrowth of the intraosseous SOM remnant was noted during a mean follow-up of 52 months (range 20-132 months). We observed a mean increase of 6.2 cm Quantitative assessment of the biological behavior of intraosseous remnants revealed a continuous slow growth rate independent of the soft tumor component of more than half of SOM. According to our data, application of a multimodal image guidance provided high accuracy and significantly increased the resection rate of the intraosseous component of SOM.

Sections du résumé

BACKGROUND
Intraosseous growth is a unique feature of sphenoorbital meningiomas (SOM). Its close relation to neurovascular structures limits complete surgical resection and possibly contributes to the high recurrence rate.
OBJECTIVE
To evaluate the growth behavior of intraosseous remnants and develop a protocol for precise intraoperative visualization of intraosseous SOM.
METHODS
We included 31 patients operated for SOM from 2004 to 2017. The growth velocity of the intraosseous tumor component was volumetrically calculated in 20 cases. To improve accuracy of image guidance, we implemented a specialized bone surface-based registration algorithm. For intraoperative bone visualization, we included CT in multimodality continuous image guidance in 23 patients. The extent of resection (EOR) was compared with a standard MR-only navigation group (n = 8).
RESULTS
In 11/20 cases (55%), a progressive regrowth of the intraosseous SOM remnant was noted during a mean follow-up of 52 months (range 20-132 months). We observed a mean increase of 6.2 cm
CONCLUSION
Quantitative assessment of the biological behavior of intraosseous remnants revealed a continuous slow growth rate independent of the soft tumor component of more than half of SOM. According to our data, application of a multimodal image guidance provided high accuracy and significantly increased the resection rate of the intraosseous component of SOM.

Identifiants

pubmed: 31368053
doi: 10.1007/s00701-019-04015-y
pii: 10.1007/s00701-019-04015-y
pmc: PMC6820812
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2241-2251

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Auteurs

Svenja Maschke (S)

Department of Neurosurgery, Medical University of Vienna, Waehringer Guertel 18-20, 1080, Vienna, Austria.

Mauricio Martínez-Moreno (M)

Department of Neurosurgery, Medical University of Vienna, Waehringer Guertel 18-20, 1080, Vienna, Austria.

Alexander Micko (A)

Department of Neurosurgery, Medical University of Vienna, Waehringer Guertel 18-20, 1080, Vienna, Austria.

Matthias Millesi (M)

Department of Neurosurgery, Medical University of Vienna, Waehringer Guertel 18-20, 1080, Vienna, Austria.

Georgi Minchev (G)

Department of Neurosurgery, Medical University of Vienna, Waehringer Guertel 18-20, 1080, Vienna, Austria.

Ammar Mallouhi (A)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1080, Vienna, Austria.

Engelbert Knosp (E)

Department of Neurosurgery, Medical University of Vienna, Waehringer Guertel 18-20, 1080, Vienna, Austria.

Stefan Wolfsberger (S)

Department of Neurosurgery, Medical University of Vienna, Waehringer Guertel 18-20, 1080, Vienna, Austria. stefan.wolfsberger@meduniwien.ac.at.

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