Researchers Develop Workflow for Repeatable Fabrication of PMMA Craniofacial Implants

While 3D printed patient-specific implants (PSIs) are helpful in craniofacial surgeries, it’s not always a practical option due to high costs and, as a research team from Switzerland’s University Hospital Basel puts it, “a lack of expertise.” They published a paper, “Accuracy Assessment of Molded, Patient-Specific Polymethylmethacrylate Craniofacial Implants Compared to Their 3D Printed Originals,” about their work to create a “simple and cost-efficient template-based fabrication workflow” that can help surgeons get past these issues and succeed.

“The aim of this study is to assess the accuracy of PSIs made from their original templates,” the researchers explained.

Cranial defects (CFD) and deformities can cause aesthetic, functional, and psychological problems for patients. A cranioplasty is performed to improve a patient’s neurological status, and to restore the function and structure of the missing cranial bone. PMMA is the most popular alloplastic material for cranial reconstructions, as it’s a cost-effective choice, resistant to functional stress, and is lightweight, yet not thermoconductive. But, intraoperative PMMA molding can be difficult in complicated cases that require a PSI.

“Other problems encountered with PMMA include the excessive heat generated by the exothermic reaction that occurs during the molding process, which might harm the surrounding tissues, or allergic reactions to monomers. In addition, the freehand PMMA molding technique is associated with an increased surgical time and often results in unacceptable cosmetic outcomes. Hence, to mitigate the problems associated with freehand implant fabrication, preoperatively or intraoperatively (extracorporeal) fabricated PMMA PSIs are used,” the team wrote.

3D printed templates for custom, pre-fabricated PMMA implants make the process easier, though there haven’t been many studies evaluating how accurate PSIs are, and if the silicone molds are reusable if the patient requires a revision operation. That’s why the team chose to compare molded PMMA PSIs to 3D printed, virtually designed templates.

3D printed skull models with the defect are. (a) CRD; (b) TOD.

They chose two cases – a CRD and a temporo-orbital defect (TOD) – and imported DICOM data from the CT scans into Materialise Mimics software. After generating a 3D volumetric image of the skull anatomies, and the overall shape of the PSIs, the files were smoothed out and exported in STL format. The templates were printed out of PLA filament on a MakerBot Replicator+, and post-processing was completed to fix little irregularities that occurred. Finally, an EinScan-SP 3D scanner was used to digitize the 3D printed templates, and the resulting point cloud data was converted and exported in STL format.

Twenty PMMA PSIs were made out of a high viscosity bone cement using the silicone molds  – ten each for the CRD and TOD cases. They were digitized with cone-beam computed tomography (CBCT), and the CBCT DICOM data was segmented and extracted with Mimics; data from the digitized PMMA PSIs were then exported in STL format.

The team used the Materialise 3-matic analysis program to compare the accuracy of the 3D printed templates and PMMA PSIs.

“The accuracy of the PMMA PSIs was evaluated by superimposing the STL file data of the related template with the STL file data obtained from the CRD-PSIs (n = 10) or the TOD-PSIs (n = 10) test group. For accurate alignment, the datasets of the CRD- and TOD-PSIs were registered with the corresponding 3D printed templates. All registrations were achieved using the “align” feature. Therefore, five manually placed control points in the n-point registration and a global registration were performed,” they explained.

Comparison of 3D printed templates (a, b, beige) with the PSIs according to the n-point registration with five manually placed control points (c, d, purple), and superimposition (e, f). L: cranial template and PSI; R: temporo-orbital template and PSI.

They compared the differences with a maximally tolerated deviation of ± 2 mm, and the measurements were put in a color map.

“Using an identical coordinate system between the datasets, the quantitative values of the deviations were automatically calculated using a 3D analysis program with respect to the root mean square (RMS) values. The RMS values describe the absolute values of the deviations between two datasets. This comparison of the two datasets comprising n-dimensional vector sets provides a measurable value of the similarity after optimal superimposition. The higher the RMS value is, the greater the deviation error between the two datasets will be,” the researchers explained.

The RMS ranged from 1.128 to 0.469 mm, with a median RMS (Quartile 1 to Quartile 3) of 0.574 (0.528 to 0.701) mm for the CRD implants. For the TOD, the RMS was 1.079 to 0.630 mm with a median RMS (Q1 to Q3) of 0.843 (0.635 to 0.943) mm.

Descriptive data distribution illustrating the difference between the CRD-PSIs and the CRD 3D printed template. (a) Mean difference ± SD; (b) Median difference (Q1 to Q3).

Descriptive data distribution illustrating the difference between the TOD-PSIs and the TOD 3D printed template. (a) Mean difference ± SD; (b) Median difference (Q1 to Q3).

You can see in the box plot graph below the quantitative data distribution results of the RMS values for the ten PSIs in the two test groups.

Box plot illustrating accuracy comparison with respect to RMS values between the PMMA CRD-PSI and TOD-PSI test groups (● describes the statistical outlier, CRD-PSI 01).

The deviation analysis for the CRD-PSIs and TOD-PSIs is shown in the heat map below. The blue areas represent negative deviations, and the red show positive. There was a slight positive deviation on the outer surface of the temporal region of the CRD-PSIs, and a slight negative on the inner surface “at the antero- and posterolateral margins.” For the TOD-PSIs, the outer surface of the infra-temporal region had a strong positive deviation, with a negative on the inner surface at the posterolateral margin.

Color-coded deviation maps within each test group after applying best-fit method and generating a 3D comparison to evaluate accuracy. CRD-PSI: (a) squamous (outer) surface; (c) cerebral (inner) surface. TOD-PSI: (b) squamous surface; (d) cerebral surface.

“The present study demonstrates that the described manufacturing process of molded patient-specific PMMA implants based on 3D printed templates is highly precise, with a less than 1 mm deviation evaluated in two different defect patterns. This reflects the results commonly reported in the literature, where the overall inaccuracies of pure 3D printed anatomical models are also less than 1 mm,” the researchers wrote. “Thus, the PSIs are largely consistent with the 3D printed templates in terms of accuracy.”

As patient-specific treatments become more popular in diagnostic treatments and procedures, the demand continues to rise, especially when it comes to cranioplasty. You can easily see the difference between reconstructing a skull defect with a 3D printed PSI, and doing so with an implant manufactured manually. Even after “successive usage of silicone molds,” the study found that the dimensional accuracy of the PMMA PSIs was at a “clinically acceptable accuracy level.”

“The RMS values illustrate that, even after ten impressions (n = 10), the manufacturing method produces no clinically relevant deviations,” the researchers concluded. “Overall, the results suggest that the manufacturing process described in this study is an exact and reproducible technique. The median RMS values for each of the two test groups did not exceed 1 mm, which is an acceptable accuracy for clinical routine in craniofacial reconstruction.”

This workflow is an accurate, repeatable way to use PSIs in anatomical reconstructions, as it reduces time in the OR, makes common materials more available, and the silicone mold can be reused.

Discuss this and other 3D printing topics at 3DPrintBoard.com or share your thoughts below.

The post Researchers Develop Workflow for Repeatable Fabrication of PMMA Craniofacial Implants appeared first on 3DPrint.com | The Voice of 3D Printing / Additive Manufacturing.

University Hospital of Basel ramps up medical 3D printing with axial3D integration

University Hospital of Basel, Switzerland, has entered into a 3D printing alliance with UK based medical technology firm axial3D. Focusing on quality control, the hospital is to introduce the axial3Dassure platform to its in-house 3D Print Lab. Through its application, axial3D promises to help to cut production times and maximize the efficiency of the facility’s 3D printed anatomical […]

Swiss Hospital Will Use axial3D’s Software Platform to Improve Patient Care with 3D Printed Medical Models

[Image: axial3D]

The award-winning, Belfast-based medical 3D printing and healthcare technology firm axial3D is focused on helping the global healthcare industry adopt 3D printing by using its patient-specific medical models to improve surgical outcomes, assist patients and doctors in better understanding ailments and treatments, and facilitate pre-operative planning.

Now, on the heels of a new partnership with Tallahassee Memorial HealthCare, the company has announced that it is collaborating with top Swiss medical center University Hospital Basel (USB) in order to improve process management and patient care and outcomes at the hospital’s interdisciplinary 3D Print Lab.

“3D printed models have been shown to help surgeons complete complex life-saving surgeries that would be otherwise impossible,” axial3D’s Ryan Kyle told 3DPrint.com. “University Hospital Basel’s new collaboration with axial3D will help to deliver high-quality 3D printed models much quicker than before.”

The hospital, which has about 7,000 people on staff, is northwest Switzerland’s biggest healthcare facility. Its 3D Print Lab uses patient image data to fabricate realistic anatomical models, and other objects, using a variety of different materials and 3D printing methods. Now it will be using axial3D’s new cloud-based platform, axial3Dassure, to support its 3D printing program.

[Image: University Hospital Basel]

By using axial3Dassure, USB will optimize its 3D Print Lab in order to provide a greater level of performance and patient care. The software, which has an end to end workflow, provides features like processing and quality management, so that hospitals and medical centers can meet their expanding business needs through its powerful analytics. The new axial3Dassure platform will also help support collaboration within the hospital’s 3D Print Lab with such features as email notifications and task-driven workflows.

Daniel Crawford, axial3D

“We are very excited to be working with the team at University Hospital Basel. They are a leading force in medical 3D printing, not just in Europe, but globally, and this alliance will ensure the expertise they have developed can support our company’s growth by informing the ongoing development of axial3D’s software solutions,” said axial3D’s CEO and Founder Daniel Crawford. “With a growing requirement for 3D printing within healthcare, a centralized management platform is necessary for any 3D print lab, which plans to scale and grow in the coming years. University Hospital Basel has taken strides in its commitment to improving outcomes for patients through technology advances in the form of this collaboration.

“Our software will help the hospital gain insight into the statistics and figures usually hidden within data, ultimately allowing them to measure clinical impact and value 3D printing is having for patients. The workflow management capability will allow the hospital to speed up the creation, processing, and delivery of 3D printed models, while ensuring auditability, reliability and standardization.”

By using axial3Dassure software, USB will be able to increase efficiency and improve compliance and productivity. The hospital’s 3D Print Lab, which includes over 20 desktop and industrial 3D printers, will now be better equipped to manage communication, quality control, tracking, and workflow management.

In addition, USB will benefit from the company’s orthopaedic auto-segmentation software module, which is embedded within the axial3Dassure platform. This module will help lower the amount of time that is typically required during pre-production of 3D printing orthopaedic models.

Finally, by partnering with axial3D, USB will be able to speed up the creation, processing, and delivery of its 3D printed surgical guides.

“Our initial focus for the use of 3D printed surgical guides was within the Department of Cranio-Maxillofacial Surgery where 3D printing has now become routine,” explained Philipp Brantner, Senior Physician of Radiology and the Co-Director of the 3D Print Lab at University Hospital Basel. “Having access to onsite printing has revolutionized how we treat those patients, some who arrive with life-threatening injuries that require immediate action. The functionality that we now get provided will allow us to speed up production and treat patients more effectively and efficiently.”

What do you think about this news? Discuss this story and other 3D printing topics at 3DPrintBoard.com or share your thoughts in the Facebook comments below.