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Related Experiment Video

Updated: Feb 18, 2026

Three-Dimensional Printing of a Complex Aortic Anomaly

Three-Dimensional Printing of a Complex Aortic Anomaly

Published on: November 1, 2018

Three-dimensional model printing for surgery on arteriovenous malformations.

Abhidha Shah¹, Bhavin Jankharia², Atul Goel¹

¹Department of Neurosurgery, K.E.M. Hospital and Seth G.S. Medical College, Parel, Mumbai, Maharashtra, India.

Neurology India

|November 15, 2017

Summary

Three-dimensional (3D) printed models offer a cost-effective and accessible method for preoperative planning in complex arteriovenous malformation surgeries. These models provide detailed insights into vascular architecture, aiding surgical precision.

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Last Updated: Feb 18, 2026

Three-Dimensional Printing of a Complex Aortic Anomaly

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Published on: November 1, 2018

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery

Published on: January 11, 2020

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Published on: February 9, 2022

Area of Science:

Neurosurgery
Medical Imaging
Biomedical Engineering

Background:

Complex intracranial vascular malformations necessitate extensive preoperative planning.
Traditional imaging modalities may have limitations in fully representing complex vascular structures.

Purpose of the Study:

To evaluate the utility of three-dimensional (3D) printed models as a preoperative tool for complex arteriovenous malformations (AVMs).
To highlight the advantages of 3D models in surgical planning and execution.

Main Methods:

3D printed models were created from thin-slice computed tomography (CT) angiography scans of 6 patients with AVMs.
Models were generated using CT angiography data from a 64-slice CT scanner.
The process involved creating a volume file of the AVM and surrounding skull bones for 3D printing.

Main Results:

3D models accurately depicted AVM compactness, nidus location, and relationship to the skull.
The models clearly delineated feeding vessels and draining veins, aiding in the identification of normal and abnormal vasculature.
Models facilitated surgical preparation and conduct, though color-coding for arteries and veins was not possible.

Conclusions:

3D printed models are valuable for understanding AVM architecture and characteristics.
These models are cost-effective and simple to produce.
3D models enhance preoperative assessment and surgical planning for AVMs.