Accuracy of corticospinal tract reconstruction: DTI-based deterministic versus probabilistic tractography with intraoperative validation
Abstract
Introduction: The precise preoperative mapping of the corticospinal tract (CST) is crucial for preserving motor integrity during brain tumor resection. While Diffusion Tensor Imaging (DTI) is widely utilized, the comparative accuracy of DTI-based deterministic versus probabilistic tractography algorithms, validated against intraoperative direct electrical stimulation (DES), remains a critical area of investigation. Methods: We retrospectively analyzed a single-center experience about patients operated on for brain tumors involving the motor areas between July 2024 and December 2025. CST reconstructions were generated using Medtronic StealthStation S8 software. Statistical analysis was applied to determine the most reliable reconstruction method, and the distance measured by each DTI technique (mm) was compared to the stimulation threshold (mA), assuming a 1:1 ratio (1mA = 1 mm). Results: 40 patients underwent surgical resection and 8 patients, (mean age 58.33) meet the inclusion criteria. 30 stimulation sites were analyzed. The mean stimulation threshold was 9.83 ± 5.49 mA (range: 5-20 mA). The probabilistic tractography reached a mean distance of 12.01 ± 8.92 mm (range: 1-30.1 mm), while the DTI-based deterministic tractography showed a mean distance of 27.71 ± 17.14 mm (range: 8-71.4 mm). Paired mean difference between DES threshold and probabilistic tractography was not significant (mean difference: -2.2, 95% CI [-5.9; 1.6], p=0.24), while it was significant between DES threshold and DTI-based deterministic reconstruction (mean difference: -17.9, 95% CI [-24.9; -10.9], p
Fields of Study & Subjects
Advanced Neuroimaging Techniques and Applications
Transcranial Magnetic Stimulation Studies
Glioma Diagnosis and Treatment
Publication details
- Journal / source
- Frontiers in Oncology
- Publisher
- Frontiers Media SA
- Volume
- 16
- Pages
- 1790772–1790772
- Publication date
- 15 May 2026
- Language
- EN