Measurements of Functional Network Connectivity Using Resting State Arterial Spin Labeling During Neurosurgery
| Autor: | Santosh Kesari, Stephan Ulmer, Michael Synowitz, Michael Helle, Jens Fiehler, Olav Jansen, Lasse Dührsen, Thomas Lindner, Hajrullah Ahmeti |
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| Rok vydání: | 2022 |
| Předmět: |
Adult
Male medicine.medical_specialty Perfusion Imaging Neuroimaging Perfusion scanning Neurosurgical Procedures Functional networks Image Interpretation Computer-Assisted medicine Humans Default mode network Aged Resting state fMRI Brain Neoplasms business.industry Default Mode Network Pattern recognition Middle Aged medicine.disease Magnetic Resonance Imaging Visualization Arterial spin labeling Female Surgery Neurology (clinical) Neurosurgery Artificial intelligence Glioblastoma business |
| Zdroj: | World Neurosurgery. 157:152-158 |
| ISSN: | 1878-8750 |
| Popis: | 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 post-processing 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 further procedure. The data of each patient could be successfully post-processed and used to map different resting state networks alongside the default mode network. Based on this study, it is feasible to use the information obtained from perfusion imaging to not only visualize 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. |
| Databáze: | OpenAIRE |
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