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Related Experiment Video

Updated: Dec 22, 2025

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery
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Cost-Effective Method for 3-Dimensional Printing Dynamic Multiobject and Patient-Specific Brain Tumor Models:

Aaron Damon1, William Clifton1, Fidel Valero-Moreno1

  • 1Department of Neurological Surgery, Mayo Clinic Florida, Jacksonville, Florida, USA.

World Neurosurgery
|May 4, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a cost-effective method for creating dynamic, patient-specific 3D-printed brain tumor models using free software. This approach enhances anatomical understanding for surgical planning and patient education.

Keywords:
3D printingAnatomyBrain modelsBrain surgeryFused deposition modelingRapid prototypingSimulation

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • 3D Printing Technology

Background:

  • Three-dimensional (3D) printing enables patient-specific anatomical replication for surgical planning and education.
  • Desktop 3D printing offers a cost-effective solution for institutions with limited resources.
  • Dynamic 3D models enhance anatomical understanding through physical manipulation.

Purpose of the Study:

  • To describe a cost-effective and time-efficient method for creating dynamic, patient-specific 3D-printed brain tumor models.
  • To address the gap in the literature regarding accessible 3D brain tumor modeling techniques.

Main Methods:

  • Utilized free, open-access software (3D Slicer) for image segmentation and Standard Tessellation Language (STL) file conversion.
  • Employed open-access STL editing software (Meshmixer) for model refinement.
  • Developed a step-by-step methodology for creating both intraaxial and extraaxial brain tumor models.

Main Results:

  • Demonstrated the creation of patient-specific 3D brain tumor models using accessible software and hardware.
  • Provided a detailed guide with images and video to illustrate software manipulation techniques.
  • Successfully created multidimensional models suitable for patient education and surgical planning.

Conclusions:

  • Detailed the specific functions of free, open-access software and desktop 3D printing techniques.
  • Highlighted the creation of dynamic and patient-specific brain tumor models.
  • Emphasized the utility of this method for enhancing education and surgical planning in neuro-oncology.