First Application of 7-T Magnetic Resonance Imaging in Endoscopic Endonasal Surgery of Skull Base Tumors.
World Neurosurg
; 103: 600-610, 2017 Jul.
Article
em En
| MEDLINE
| ID: mdl-28359922
ABSTRACT
BACKGROUND:
Successful endoscopic endonasal surgery for the resection of skull base tumors is reliant on preoperative imaging to delineate pathology from the surrounding anatomy. The increased signal-to-noise ratio afforded by 7-T MRI can be used to increase spatial and contrast resolution, which may lend itself to improved imaging of the skull base. In this study, we apply a 7-T imaging protocol to patients with skull base tumors and compare the images with clinical standard of care.METHODS:
Images were acquired at 7 T on 11 patients with skull base lesions. Two neuroradiologists evaluated clinical 1.5-, 3-, and 7-T scans for detection of intracavernous cranial nerves and internal carotid artery (ICA) branches. Detection rates were compared. Images were used for surgical planning and uploaded to a neuronavigation platform and used to guide surgery.RESULTS:
Image analysis yielded improved detection rates of cranial nerves and ICA branches at 7 T. The 7-T images were successfully incorporated into preoperative planning and intraoperative neuronavigation.CONCLUSIONS:
Our study represents the first application of 7-T MRI to the full neurosurgical workflow for endoscopic endonasal surgery. We detected higher rates of cranial nerves and ICA branches at 7-T MRI compared with 3- and 1.5-T MRI, and found that integration of 7 T into surgical planning and guidance was feasible. These results suggest a potential for 7-T MRI to reduce surgical complications. Future studies comparing standardized 7-, 3-, and 1.5-T MRI protocols in a larger number of patients are warranted to determine the relative benefit of 7-T MRI for endonasal endoscopic surgical efficacy.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Neoplasias Hipofisárias
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Imageamento por Ressonância Magnética
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Adenoma
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Neoplasias da Base do Crânio
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Craniofaringioma
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Cirurgia Assistida por Computador
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Neuroendoscopia
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Neoplasias Meníngeas
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Meningioma
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article