Publications

@article{M2024,

title = {Four-dimensional computational ultrasound imaging of brain hemodynamics},

author = {Brown M and Generowicz BS and Dijkhuizen S and Koekkoek SKE and Strydis C and Bosch JG and Arvanitis P and Springeling G and Leus G and De Zeeuw CI and Kruizinga P},

doi = {10.1126/sciadv.adk7957},

year  = {2024},

date = {2024-01-17},

urldate = {2024-01-17},

journal = {Science Advances},

volume = {10},

keywords = {CUBE},

pubstate = {published},

tppubtype = {article}

}

@article{S2020,

title = {Functional Ultrasound (fUS) During Awake Brain Surgery: The Clinical Potential of Intra-Operative Functional and Vascular Brain Mapping},

author = { Soloukey Tbalvandany S and Vincent AJPE and Satoer DD and Mastik F and Smits M and Dirven CMF and Strydis C and Bosch JG and van der Steen AFW and De Zeeuw CI and Koekkoek SKE and Kruizinga P},

doi = {10.3389/fnins.2019.01384},

year  = {2020},

date = {2020-01-09},

journal = {Frontiers in Neuroscience},

volume = {13},

abstract = {Background and Purpose: Oncological neurosurgery relies heavily on making continuous, intra-operative tumor-brain delineations based on image-guidance. Limitations of currently available imaging techniques call for the development of real-time image-guided resection tools, which allow for reliable functional and anatomical information in an intra-operative setting. Functional ultrasound (fUS), is a new mobile neuro-imaging tool with unprecedented spatiotemporal resolution, which allows for the detection of small changes in blood dynamics that reflect changes in metabolic activity of activated neurons through neurovascular coupling. We have applied fUS during conventional awake brain surgery to determine its clinical potential for both intra-operative functional and vascular brain mapping, with the ultimate aim of achieving maximum safe tumor resection.



Methods: During awake brain surgery, fUS was used to image tumor vasculature and task-evoked brain activation with electrocortical stimulation mapping (ESM) as a gold standard. For functional imaging, patients were presented with motor, language or visual tasks, while the probe was placed over (ESM-defined) functional brain areas. For tumor vascular imaging, tumor tissue (pre-resection) and tumor resection cavity (post-resection) were imaged by moving the hand-held probe along a continuous trajectory over the regions of interest.



Results: A total of 10 patients were included, with predominantly intra-parenchymal frontal and temporal lobe tumors of both low and higher histopathological grades. fUS was able to detect (ESM-defined) functional areas deep inside the brain for a range of functional tasks including language processing. Brain tissue could be imaged at a spatial and temporal resolution of 300 μm and 1.5–2.0 ms respectively, revealing real-time tumor-specific, and healthy vascular characteristics.



Conclusion: The current study presents the potential of applying fUS during awake brain surgery. We illustrate the relevance of fUS for awake brain surgery based on its ability to capture both task-evoked functional cortical responses as well as differences in vascular characteristics between tumor and healthy tissue. As current neurosurgical practice is still pre-dominantly leaning on inherently limited pre-operative imaging techniques for tumor resection-guidance, fUS enters the scene as a promising alternative that is both anatomically and physiologically informative.},

keywords = {CUBE},

pubstate = {published},

tppubtype = {article}

}

@article{Tbalvandany2019,

title = {Functional ultrasound (FUS) during awake craniotomy tumor removal: Revolutionizing intra-operative functional brain and tumor mapping},

author = { Soloukey Tbalvandany S and Vincent AJPE and Satoer DD and Mastik F and Smits M and Dirven CMF and Strydis C and van der Steen AFW and Bosch JG and De Zeeuw CI and Koekkoek SKE and Kruizinga P },

doi = {10.1159/000501568},

year  = {2019},

date = {2019-06-01},

journal = { Stereotactic and Functional Neurosurgery},

volume = {97},

keywords = {CUBE},

pubstate = {published},

tppubtype = {article}

}