Measurements of Functional Network Connectivity Using Resting State Arterial Spin Labeling During Neurosurgery
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Measurements of Functional Network Connectivity Using Resting State Arterial Spin Labeling During Neurosurgery. / Lindner, Thomas; Ahmeti, Hajrullah; Helle, Michael; Jansen, Olav; Fiehler, Jens; Dührsen, Lasse; Synowitz, Michael; Kesari, Santosh; Ulmer, Stephan.
In: WORLD NEUROSURG, Vol. 157, 01.2022, p. 152-158.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Measurements of Functional Network Connectivity Using Resting State Arterial Spin Labeling During Neurosurgery
AU - Lindner, Thomas
AU - Ahmeti, Hajrullah
AU - Helle, Michael
AU - Jansen, Olav
AU - Fiehler, Jens
AU - Dührsen, Lasse
AU - Synowitz, Michael
AU - Kesari, Santosh
AU - Ulmer, Stephan
N1 - Copyright © 2021 Elsevier Inc. All rights reserved.
PY - 2022/1
Y1 - 2022/1
N2 - In neurosurgery, an exact delineation of functional areas is of great interest to spare important regions to ensure the best possible outcome for the patient (i.e., maximum removal while maintaining the highest possible quality of life). Preoperative imaging is routinely performed, including the visualization of not only structural but also functional information. During surgery, however, brain shift can occur, leading to an offset between the previously defined and the real position. Real-time imaging during the procedure is therefore desired to obtain this information while performing surgery. In this study 15 patients suffering from glioblastoma multiforme were included. These patients underwent structural and perfusion imaging using arterial spin labeling during the procedure. The latter has been used for gathering information about tumor residual perfusion. However, special postprocessing of this data allows for additional mapping of resting state networks and is intended to be used to gather deeper insights to aid the surgeon in planning the procedure. The data of each patient could be successfully postprocessed and used to map different resting state networks alongside the default mode network. On the basis of this study, it is feasible to use the information obtained from perfusion imaging to visualize not only vascular signal but also functional activation of resting state networks without acquiring any additional data besides the already available information. This may help guide the neurosurgeon in real time to adjust the surgical plan.
AB - In neurosurgery, an exact delineation of functional areas is of great interest to spare important regions to ensure the best possible outcome for the patient (i.e., maximum removal while maintaining the highest possible quality of life). Preoperative imaging is routinely performed, including the visualization of not only structural but also functional information. During surgery, however, brain shift can occur, leading to an offset between the previously defined and the real position. Real-time imaging during the procedure is therefore desired to obtain this information while performing surgery. In this study 15 patients suffering from glioblastoma multiforme were included. These patients underwent structural and perfusion imaging using arterial spin labeling during the procedure. The latter has been used for gathering information about tumor residual perfusion. However, special postprocessing of this data allows for additional mapping of resting state networks and is intended to be used to gather deeper insights to aid the surgeon in planning the procedure. The data of each patient could be successfully postprocessed and used to map different resting state networks alongside the default mode network. On the basis of this study, it is feasible to use the information obtained from perfusion imaging to visualize not only vascular signal but also functional activation of resting state networks without acquiring any additional data besides the already available information. This may help guide the neurosurgeon in real time to adjust the surgical plan.
KW - Adult
KW - Aged
KW - Brain Neoplasms/diagnostic imaging
KW - Default Mode Network/diagnostic imaging
KW - Female
KW - Glioblastoma/diagnostic imaging
KW - Humans
KW - Image Interpretation, Computer-Assisted/methods
KW - Magnetic Resonance Imaging
KW - Male
KW - Middle Aged
KW - Neuroimaging/methods
KW - Neurosurgical Procedures/methods
KW - Perfusion Imaging/methods
U2 - 10.1016/j.wneu.2021.10.107
DO - 10.1016/j.wneu.2021.10.107
M3 - SCORING: Journal article
C2 - 34673240
VL - 157
SP - 152
EP - 158
JO - WORLD NEUROSURG
JF - WORLD NEUROSURG
SN - 1878-8750
ER -
