Dokładność stereoelektroencefalografii w serii ponad 3000 trajektorii

Preprint (medRxiv/bioRxiv)➕ 17.07.2026Preprint (medRxiv/bioRxiv)

Stereoelectroencephalography accuracy in a series of over 3000 trajectories

W skrócie

[Preprint - wstępne wyniki] Badanie analizuje dokładność wszczepienia elektrod głębokich mózgu (SEEG) używanych do diagnozowania epilepsji opornej na leki u ponad 3 tys. pacjentów. Wyniki pokazują, że metoda wspomagana robotem jest dokładniejsza niż tradycyjna metoda ramkowa, osiągając błąd pomiaru zaledwie 2-3 milimetry. Badanie pomaga lekarzom lepiej planować zabiegi i wybierać optymalną metodę wszczepiania elektrod.

Oryginalny abstract (angielski)

Background: and Objectives: Stereoelectroencephalography (SEEG) involves the implantation of intracerebral electrodes to investigate drug-resistant epilepsy. SEEG requires millimetric accuracy to ensure safety and optimal mapping. Although studies have evaluated SEEG accuracy, there is substantial variability in reporting. Here we report on implantation accuracy in a large series using the most common accuracy metrics described in the literature and perform a detailed analysis of contributing factors. Methods: SEEG implantations between 2013 and 2025 were included. Application accuracy was computed for each implanted electrode. Specifically, Euclidean, radial, depth, and angle error were calculated at both target and entry points. Correlative and multivariable analyses were conducted between each variable and error metric. Trajectories were also grouped by atlas-derived lobar target. Results: No metrics met assumptions of normality and thus we report accuracy using median with interquartile range (IQR). In a series of 3176 trajectories, median Euclidean target and entry errors were lower for robot-assisted electrodes (n=2858) at 2.19 (IQR: 1.54-2.98) mm and 1.38 (IQR: 0.89-2.01) mm respectively, compared to frame-based (n=318, p Conclusions: We present a detailed description of SEEG implantation accuracy, demonstrating the superior accuracy and speed of robot-assisted to frame-based methods. Furthermore, we analyzed how accuracy varies with specific factors from a global to trajectory level, which can be accounted for when planning SEEG implantations.

Metadane publikacji

Journal
Preprint (medRxiv/bioRxiv)
Data publikacji
16.07.2026
DOI
10.64898/2026.07.14.26358071
Europe PMC ID
PPR1280378
Autorzy
Thurairajah A, Gilmore G, Persad AR, Youshani AS, Taha A, Abbass M, Santyr B, Al-Orabi KM, Burneo JG, Pellegrino G
Źródło
Preprint (medRxiv/bioRxiv)