Details

Autor(en) / Beteiligte

• Ille, Sebastian
• Ohlerth, Ann-Katrin
• Colle, David
• Colle, Henry
• Dragoy, Olga
• Goodden, John
• Robe, Pierre
• Rofes, Adrià
• Mandonnet, Emmanuel
• Robert, Erik
• Satoer, Djaina
• Viegas, Catarina Pessanha
• Visch-Brink, Evy
• van Zandvoort, Martine
• Krieg, Sandro M.

Titel

Augmented reality for the virtual dissection of white matter pathways

Ist Teil von

• Acta neurochirurgica, 2021-04, Vol.163 (4), p.895-903

Ort / Verlag

Vienna: Springer Vienna

Erscheinungsjahr

2021

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Background The human white matter pathway network is complex and of critical importance for functionality. Thus, learning and understanding white matter tract anatomy is important for the training of neuroscientists and neurosurgeons. The study aims to test and evaluate a new method for fiber dissection using augmented reality (AR) in a group which is experienced in cadaver white matter dissection courses and in vivo tractography. Methods Fifteen neurosurgeons, neurolinguists, and neuroscientists participated in this questionnaire-based study. We presented five cases of patients with left-sided perisylvian gliomas who underwent awake craniotomy. Diffusion tensor imaging fiber tracking (DTI FT) was performed and the language-related networks were visualized separated in different tracts by color. Participants were able to virtually dissect the prepared DTI FTs using a spatial computer and AR goggles. The application was evaluated through a questionnaire with answers from 0 (minimum) to 10 (maximum). Results Participants rated the overall experience of AR fiber dissection with a median of 8 points (mean ± standard deviation 8.5 ± 1.4). Usefulness for fiber dissection courses and education in general was rated with 8 (8.3 ± 1.4) and 8 (8.1 ± 1.5) points, respectively. Educational value was expected to be high for several target audiences (student: median 9, 8.6 ± 1.4; resident: 9, 8.5 ± 1.8; surgeon: 9, 8.2 ± 2.4; scientist: 8.5, 8.0 ± 2.4). Even clinical application of AR fiber dissection was expected to be of value with a median of 7 points (7.0 ± 2.5). Conclusion The present evaluation of this first application of AR for fiber dissection shows a throughout positive evaluation for educational purposes.