Literature DB >> 19148036

Updating navigation with intraoperative image data.

Christopher Nimsky1, Boris von Keller, Sven Schlaffer, Daniela Kuhnt, Daniel Weigel, Oliver Ganslandt, Michael Buchfelder.   

Abstract

OBJECTIVES: To localize overlooked tumor remnants by updating navigation with intraoperative magnetic resonance imaging compensating for the effects of brain shift.
METHODS: In 112 patients among 805 patients that were investigated by combined use of intraoperative high-field (1.5 T) magnetic resonance imaging and navigation, mostly glioma cases (n = 85), an update of the navigation was performed. Intraoperative image data were rigidly registered with the preoperative image data, the tumor remnant was segmented, and then the initial patient registration was restored so that the registration coordinate system of the preoperative image data was applied on the intraoperative images, allowing navigation updating without intraoperative patient re-registration.
RESULTS: Navigation could be updated reliably in all cases. Potential positional shifting impairing the initial update strategy was observed only in 2 cases so that a patient re-registration was necessary. The target registration error of the initial patient registration was 1.33 +/- 0.63 mm, and registration of preoperative and intraoperative images could be performed with high accuracy, as proven by landmark checks. Updating of navigation resulted in increased resections or correction of a catheter position or biopsy sampling site in 94%. In the remaining 7 patients, the intraoperative images were used for correlation with the surgical site but without changing the surgical strategy.
CONCLUSIONS: Navigation can be reliably updated with intraoperative image data without repeated patient registration, facilitating the update procedure. Updated navigation allows achieving enlarged resections and compensates for the effects of brain shift.

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Mesh:

Year:  2009        PMID: 19148036     DOI: 10.1097/RMR.0b013e31819574ad

Source DB:  PubMed          Journal:  Top Magn Reson Imaging        ISSN: 0899-3459


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