Inferior fronto-occipital fascicle displacement in temporoinsular gliomas using diffusion tensor imaging

Background and purpose: Brain tumors can result in displacement or destruction of important white matter tracts such as the inferior fronto-occipital fascicle (IFOF). Diffusion tensor imaging (DTI) can assess the extent of this effect and potentially provide neurosurgeons with an accurate map to gui...

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Detalhes bibliográficos
Autores: Camins, Àngels, Naval Baudin, Pablo, Majós Torró, Carlos, Sierpowska, Joanna, Sanmillan Blasco, Jose Luis, Cos Domingo, Mònica, Rodríguez Fornells, Antoni, Gabarrós, Andreu
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2022
País:España
Recursos:Universidad de Barcelona
Repositório:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/214412
Acesso em linha:https://hdl.handle.net/2445/214412
Access Level:Acceso aberto
Palavra-chave:Tumors cerebrals
Mielina
Lòbul frontal
Glioma
Brain tumors
Myelin sheath
Frontal lobe
Gliomas
Descrição
Resumo:Background and purpose: Brain tumors can result in displacement or destruction of important white matter tracts such as the inferior fronto-occipital fascicle (IFOF). Diffusion tensor imaging (DTI) can assess the extent of this effect and potentially provide neurosurgeons with an accurate map to guide tumor resection; analyze IFOF displacement patterns in temporoinsular gliomas based on tumor grading and topography in the temporal lobe; and assess whether these patterns follow a predictable pattern, to assist in maximal tumor resection while preserving IFOF function. Methods: Thirty-four patients with temporal gliomas and available presurgical MRI were recruited. Twenty-two had insula infiltration. DTI deterministic region of interest (ROI)-based tractography was performed using commercial software. Tumor topographic imaging characteristics analyzed were as follows: location in the temporal lobe and extent of extratemporal involvement. Qualitative tractographic data obtained from directional DTI color maps included type of involvement (displaced/edematous-infiltrated/destroyed) and displacement direction. Quantitative tractographic data of ipsi- and contralateral IFOF included whole tract volume, fractional anisotropy, and fractional anisotropy of a 2-dimensional coronal ROI on the tract at the point of maximum tumor involvement. Results: The most common tract involvement pattern was edematous/infiltrative displacement. Displacement patterns depended on main tumor location in the temporal lobe and presence of insular involvement. All tumors showed superior displacement pattern. In lateral tumors, displacement tendency was medial. In medial tumors, displacement tendency was lateral. When we add insular involvement, the tendency was more medial displacement. A qualitative and quantitative assessment supported these results. Conclusions: IFOF displacement patterns are reproducible and suitable for temporoinsular gliomas presurgical planning.