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Next-generation personalized cranioplasty treatment
Jeyapriya Thimukonda Jegadeesan1, Manish Baldia2, Bikramjit Basu3
1Materials Research Centre, Indian Institute of Science, CV Raman Road, Bangalore, Karnataka 560012, India.
Acta Biomaterialia
|October 22, 2022
Summary
Cranioplasty surgery reconstructs cranial defects after decompressive craniectomy, improving aesthetics and function. Advanced 3D printing and data-driven AI accelerate implant fabrication for better patient outcomes.
Area of Science:
- Neurosurgery and Biomedical Engineering
- Regenerative Medicine and Biomaterials
Background:
- Decompressive craniectomy (DC) is a critical procedure for managing severe brain conditions, often necessitating subsequent cranioplasty for cranial defect reconstruction.
- Cranioplasty surgery aims to restore cranial symmetry, improve cosmetic appearance, and enhance neurophysiological function in patients with significant cranial defects.
Purpose of the Study:
- This review synthesizes current knowledge on cranioplasty, focusing on patient-specific implant manufacturing, clinical outcomes, and emerging alternative therapies.
- The article highlights advancements in 3D printing, biomaterial applications, and data-driven approaches for optimizing cranioplasty procedures.
Main Methods:
- Review of existing clinical case studies, systematic reviews, and literature on cranioplasty implant fabrication and alternative treatments.
- Exploration of 3D printing technologies, biomaterial science, tissue engineering, and artificial intelligence applications in cranioplasty.
Main Results:
- Current 3D printing techniques yield patient-specific implants with improved cosmetic results, but the process remains time-consuming and costly.
- Biomolecular and cellular-based approaches, alongside tissue engineering, offer promising alternatives to reduce complications.
- Data-driven methods, including AI and E-platforms, are poised to accelerate implant design and manufacturing, leading to predictable clinical outcomes.
Conclusions:
- Accelerated and automated fabrication of patient-specific cranial implants is crucial for meeting clinical demands in cranioplasty.
- The integration of AI and data-driven platforms promises to enhance efficiency, reduce manual intervention, and shorten intraoperative times in cranioplasty.
- Future cranioplasty protocols will likely leverage advanced manufacturing and regenerative medicine for superior functional and aesthetic results.
