Diffusion Tensor Imaging Tractography for Fornix Identification in Intraventricular Tumor Surgery: A Case Series

BACKGROUND The proximity of intraventricular or periventricular tumors to critical white matter structures, such as the fornix, poses an operative challenge. In order to avoid significant neurological morbidity, deliberate selection of surgical approach is necessary when planning resection of tumors in this region. We report our initial experience with fornix modeling as an adjunct to standard navigational techniques across multiple pathologies. OBJECTIVE To report the feasibility of using diffusion tensor imaging (DTI) fornix modeling as an adjunct to standard navigational techniques for surgical treatment of intraventricular and periventricular tumors involving the fornix. METHODS Between July 2018 and August 2019, DTI tractography was performed on 12 patients with intraventricular or periventricular tumors involving the fornix. DTI fornix modeling was performed and included as part of the intraoperative navigation in all cases. RESULTS The patient group was composed of 6 males and 6 females. The fornix model was delineated in all cases using DTI tractography as described. The mean patient age was 45.7 yr. The 2 most-common tumor pathologies represented in our patient cohort included meningioma and cranipharyngioma, both found in 2 patients. A glioneuronal tumor, low-grade glioma, ependymoma, subependymoma, mixed germ-cell tumor, pituitary adenoma, and renal cell carcinoma metastasis were found in 1 patient each. Case examples of fornix modeling that may be incorporated into standard neuronavigation are presented. No patient experienced new or worsening post-operative memory deficits. CONCLUSION DTI tractography for fornix identification is a useful adjunct to standard navigational techniques employed in surgical resection of forniceal involving tumors.