Litcius/Paper detail

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

Yun‐Sik Dho, Doohee Lee, Teahyun Ha, So Young Ji, Kyung‐Min Kim, Ho Kang, Min‐Sung Kim, Jin Wook Kim, Won‐Sang Cho, Yong Hwy Kim, Young Gyu Kim, Sang Joon Park, Chul‐Kee Park

2021Scientific Reports53 citationsDOIOpen Access PDF

Abstract

The 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.

Topics & Concepts

Craniotomy3d printedNeurosurgeryMedicineBrain anatomyComputer science3d printer3D printingSurgical planningMagnetic resonance imagingMedical physicsBiomedical engineeringRadiologyEngineeringMechanical engineeringAnatomy and Medical TechnologySurgical Simulation and TrainingAugmented Reality Applications