Clinical application of patient-specific 3D printing brain tumor model production system for neurosurgery

AbstractThe usefulness of 3-dimensional (3D)-printed disease models has been recognized in various medical fields. This study aims to introduce a production platform for patient-specific 3D-printed brain tumor model in clinical practice and evaluate its effectiveness. A full-cycle platform was created for the clinical application of a 3D-printed brain tumor model (3D-printed model) production system. Essential elements included automated segmentation software, cloud-based interactive communication tools, customized brain models with exquisite expression of brain anatomy in transparent material, adjunctive devices for surgical simulation, and swift process cycles to meet practical needs. A simulated clinical usefulness validation was conducted in which neurosurgeons assessed the usefulness of the 3D-printed models in 10 cases. We successfully produced clinically applicable patient-specific models within 4 days using the established platform. The simulated clinical usefulness validation results revealed the significant superiority of the 3D-printed models in surgical planning regarding surgical posture (p = 0.0147) and craniotomy design (p = 0.0072) compared to conventional magnetic resonance images. The benefit was more noticeable for neurosurgeons with less experience. We established a 3D-printed brain tumor model production system that is ready to use in daily clinical practice for neurosurgery.

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Quantitative Measurements of Regional Glucose Utilization and Rate of Valine Incorporation into Proteins by Double-Tracer Autoradiography in the Rat Brain Tumor Model

Journal of Cerebral Blood Flow & Metabolism ◽

10.1038/jcbfm.1989.12 ◽

1989 ◽

Vol 9 (1) ◽

pp. 87-95 ◽

Cited By ~ 22

Author(s):

Michihiro Kirikae ◽

Mirko Diksic ◽

Y. Lucas Yamamoto

Keyword(s):

Protein Synthesis ◽

Brain Tumor ◽

Rat Brain ◽

Brain Tissue ◽

Glucose Utilization ◽

Tumor Model ◽

Normal Brain ◽

Normal Brain Tissue ◽

Rat Brain Tumor ◽

Brain Tumor Model

We examined the rate of glucose utilization and the rate of valine incorporation into proteins using 2-[18F]fluoro-2-deoxyglucose and L-[1-14C]-valine in a rat brain tumor model by quantitative double-tracer autoradiography. We found that in the implanted tumor the rate of valine incorporation into proteins was about 22 times and the rate of glucose utilization was about 1.5 times that in the contralateral cortex. (In the ipsilateral cortex, the tumor had a profound effect on glucose utilization but no effect on the rate of valine incorporation into proteins.) Our findings suggest that it is more useful to measure protein synthesis than glucose utilization to assess the effectiveness of antitumor agents and their toxicity to normal brain tissue. We compared two methods to estimate the rate of valine incorporation: “kinetic” (quantitation done using an operational equation and the average brain rate coefficients) and “washed slices” (unbound labeled valine removed by washing brain slices in 10% thrichloroacetic acid). The results were the same using either method. It would seem that the kinetic method can thus be used for quantitative measurement of protein synthesis in brain tumors and normal brain tissue using [11C]-valine with positron emission tomography.

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Vascular phenotyping of brain tumors using magnetic resonance microscopy (μMRI)

Journal of Cerebral Blood Flow & Metabolism ◽

10.1038/jcbfm.2011.17 ◽

2011 ◽

Vol 31 (7) ◽

pp. 1623-1636 ◽

Cited By ~ 20

Author(s):

Eugene Kim ◽

Jiangyang Zhang ◽

Karen Hong ◽

Nicole E Benoit ◽

Arvind P Pathak

Keyword(s):

Brain Tumor ◽

Magnetic Resonance ◽

Brain Tumors ◽

Three Dimensional ◽

Region Of Interest ◽

Tumor Model ◽

Magnetic Resonance Microscopy ◽

Vascular Phenotype ◽

Brain Tumor Model ◽

Novel Method

Abnormal vascular phenotypes have been implicated in neuropathologies ranging from Alzheimer's disease to brain tumors. The development of transgenic mouse models of such diseases has created a crucial need for characterizing the murine neurovasculature. Although histologic techniques are excellent for imaging the microvasculature at submicron resolutions, they offer only limited coverage. It is also challenging to reconstruct the three-dimensional (3D) vasculature and other structures, such as white matter tracts, after tissue sectioning. Here, we describe a novel method for 3D whole-brain mapping of the murine vasculature using magnetic resonance microscopy (μMRI), and its application to a preclinical brain tumor model. The 3D vascular architecture was characterized by six morphologic parameters: vessel length, vessel radius, microvessel density, length per unit volume, fractional blood volume, and tortuosity. Region-of-interest analysis showed significant differences in the vascular phenotype between the tumor and the contralateral brain, as well as between postinoculation day 12 and day 17 tumors. These results unequivocally show the feasibility of using μMRI to characterize the vascular phenotype of brain tumors. Finally, we show that combining these vascular data with coregistered images acquired with diffusion-weighted MRI provides a new tool for investigating the relationship between angiogenesis and concomitant changes in the brain tumor microenvironment.

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MRI assessment of hemodynamic effects of angiopoietin-2 overexpression in a brain tumor model

Neuro-Oncology ◽

10.1215/15228517-2008-117 ◽

2009 ◽

Vol 11 (5) ◽

pp. 488-502 ◽

Cited By ~ 9

Author(s):

Samuel Valable ◽

Dauphou Eddi ◽

Jean-Marc Constans ◽

Jean-Sébastien Guillamo ◽

Myriam Bernaudin ◽

...

Keyword(s):

Brain Tumor ◽

Tumor Model ◽

Hemodynamic Effects ◽

Brain Tumor Model ◽

Angiopoietin 2

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212. Rabbit VX-2 Brain Tumor Model for Development of Improved Vector Administration Techniques

Molecular Therapy ◽

10.1016/s1525-0016(16)37653-5 ◽

2010 ◽

Vol 18 ◽

pp. S81

Keyword(s):

Brain Tumor ◽

Tumor Model ◽

Brain Tumor Model

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Analysis of Fluorescence Decay Kinetics of Indocyanine Green Monomers and Aggregates in Brain Tumor Model In Vivo

Nanomaterials ◽

10.3390/nano11123185 ◽

2021 ◽

Vol 11 (12) ◽

pp. 3185

Author(s):

Dina Farrakhova ◽

Igor Romanishkin ◽

Yuliya Maklygina ◽

Lina Bezdetnaya ◽

Victor Loschenov

Keyword(s):

Brain Tumor ◽

Indocyanine Green ◽

Fluorescence Lifetime ◽

Tumor Model ◽

Fluorescence Decay ◽

Decay Kinetics ◽

Lifetime Analysis ◽

Fluorescence Decay Kinetics ◽

Brain Tumor Model

Spectroscopic approach with fluorescence time resolution allows one to determine the state of a brain tumor and its microenvironment via changes in the fluorescent dye’s fluorescence lifetime. Indocyanine green (ICG) is an acknowledged infra-red fluorescent dye that self-assembles into stable aggregate forms (ICG NPs). ICG NPs aggregates have a tendency to accumulate in the tumor with a maximum accumulation at 24 h after systemic administration, enabling extended intraoperative diagnostic. Fluorescence lifetime analysis of ICG and ICG NPs demonstrates different values for ICG monomers and H-aggregates, indicating promising suitability for fluorescent diagnostics of brain tumors due to their affinity to tumor cells and stability in biological tissue.

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