Three-Dimensionally Printed Surgical Simulation Tool for Brain Mapping Training and Preoperative Planning

Faith Colaguori, Maité Marin-Mera, Megan McDonnell, Jaime Martínez, Fidel Valero-Moreno, Aaron Damon, Ricardo A. Domingo, William Clifton, W. Christopher Fox, Kaisorn Chaichana, Erik H. Middlebrooks, David Sabsevitz, Rebecca Forry, Alfredo Quiñones-Hinojosa

Abstract

BACKGROUND: Brain mapping is the most reliable intraoperative tool for identifying surrounding functional cortical and subcortical brain parenchyma. Brain mapping procedures are nuanced and require a multidisciplinary team and a well-Trained neurosurgeon. Current training methodology involves real-Time observation and operation, without widely available surgical simulation. OBJECTIVE: To develop a patient-specific, anatomically accurate, and electrically responsive biomimetic 3D-printed model for simulating brain mapping. METHODS: Imaging data were converted into a 2-piece inverse 3D-rendered polyvinyl acetate shell forming an anatomically accurate brain mold. Functional and diffusion tensor imaging data were used to guide wire placement to approximate the projection fibers from the arm and leg areas in the motor homunculus. Electrical parameters were generated, and data were collected and processed to differentiate between the 2 tracts. For validation, the relationship between the electrical signal and the distance between the probe and the tract was quantified. Neurosurgeons and trainees were interviewed to assess the validity of the model. RESULTS: Material testing of the brain component showed an elasticity modulus of 55 kPa (compared to 140 kPa of cadaveric brain), closely resembling the tactile feedback a live brain. The simulator's electrical properties approximated that of a live brain with a voltage-To-distance correlation coefficient of r2 = 0.86. Following 32 neurosurgeon interviews, ∼96% considered the model to be useful for training. CONCLUSION: The realistic neural properties of the simulator greatly improve representation of a live surgical environment. This proof-of-concept model can be further developed to contain more complicated tractography, blood and cerebrospinal fluid circulation, and more in-depth feedback mechanisms.

Original languageEnglish (US)
Pages (from-to)523-532
Number of pages10
JournalOperative Neurosurgery
Volume21
Issue number6
DOIs
StatePublished - Dec 1 2021

Keywords

  • 3D printing
  • Awake craniotomy
  • Brain mapping
  • Neurophysiologic monitoring
  • Surgical simulation

ASJC Scopus subject areas

  • Surgery
  • Clinical Neurology

Fingerprint

Dive into the research topics of 'Three-Dimensionally Printed Surgical Simulation Tool for Brain Mapping Training and Preoperative Planning'. Together they form a unique fingerprint.

Cite this