BACKGROUND: Thalamic gliomas represent a great challenge for neurosurgeons because of the high surgical risk of damaging the surrounding anatomy. Preoperative planning may considerably help the surgeon find the most ideal operative trajectory, avoiding thalamic nuclei and important white matter pathways adjacent to the tumor tissue. Thalamic segmentation is a promising imaging tool based on diffusion tensor magnetic resonance imaging. It provides the possibility to predict the relationship of the tumor to thalamic nuclei.
OBJECTIVE: To propose a new tool in thalamic glioma surgery that may help to differentiate between normal thalamus and tumor tissue, making preoperative planning possible and facilitating the choice of the optimal surgical approach and trajectory for neuronavigation-assisted surgery.
METHODS: Four patients with thalamic gliomas preoperatively underwent conventional and diffusion-weighted magnetic resonance imaging conducted on 1.5 T. Subsequently, probabilistic tractography and thalamic segmentation were performed with the FSL Software as preoperative planning. We also present a case when thalamic segmentation was applied retrospectively using preoperative images. All patients went through neuronavigation-assisted surgery (1 partial, 4 subtotal resections).
RESULTS: Surgery performed based on the output of thalamic segmentation caused no deterioration in the neurological symptoms of our patients. Indeed, we noticed improvement in the neurological condition in 3 cases; furthermore, in 2 patients, a concern-free state was achieved.
CONCLUSION: We suggest that thalamic segmentation may be applied successfully and routinely in the surgical treatment of thalamic gliomas.
ABBREVIATIONS: DTI, diffusion tensor magnetic resonance imaging
DTT, diffusion tensor tractography
FLAIR, fluid attenuated inversion recovery
FOV, field of view
TE, echo time
TR, repetition time
*Department of Neurosurgery, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary;
‡Department of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary;
§International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic;
‖Diagnoscan Hungary Ltd., Budapest, Hungary;
¶Department of Radiology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary
Correspondence: Dávid Kis, MD, 6725 Szeged, 6th Semmelweis St, Szeged, Hungary. E-mail: firstname.lastname@example.org
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Received July 15, 2013
Accepted February 13, 2014