The world's first successful 3D printed assisted skull base tumor resection

A few days ago, Xiangya Hospital of Central South University used the E-3D digital medical 3D design system independently developed by China and combined with 3D printing technology to successfully print out a patient's complex skull base tumor and surrounding tissues in equal proportions to assist in the design of surgery intervention. In the end, the complex tumor in the patient's skull was completely and accurately removed. After an authoritative literature search, there is no precedent in the world for the clinical application of 3D printing technology.

3D printed "clone" of the patient's skull base, tumor and peripheral vascular network

According to reports, the removal of skull base tumors is extremely difficult. Traditional methods are mainly based on two-dimensional images such as CT scans and nuclear magnetic resonance, and the imaging data is difficult to effectively connect. Clinicians often only build spaces in their minds based on image data. image. Once the dead corner is left during resection, it will likely lead to tumor recurrence.

3D reconstruction schematic

In order to improve the accuracy of the operation, the multidisciplinary expert team composed of the hospital, with the support of Huiqing Information Technology Co., Ltd., seamlessly merges the patient's CT and MRI and other multimodal imaging data, and further refines The processing obtains the precise spatial data, transforms and reconstructs it into a three-dimensional model, and uses polymer materials to complete the 3D printing. The model has clear boundaries and resembles clones. It can accurately replicate the complex morphology, different textures and densities of tumors and surrounding structures. On January 2nd, the surgical team, mainly in the neurosurgery department of the hospital, successfully performed tumor resection for patients. The patient recovered well after surgery, and could walk out of bed 2 days after surgery.

Experts compare 3D printing organization with 2D pictures

3D printed patient tumor, vascular network and other related tissues

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