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This research article introduces an innovation in neurosurgery: a novel bioresorbable craniotomy plug implant designed to address the challenges associated with trephination burr holes. These burr holes, commonly utilized in neurosurgical procedures, can present complications such as postoperative infections and inflammation. The proposed solution involves the development of a bioresorbable plug featuring specific design elements, including variable pore sizes and filament widths. This design ensures effective coverage of trephination burr holes, aiming to enhance the overall performance of neurosurgical interventions. To further augment patient outcomes, the plug is coated with therapeutic agents, providing additional benefits such as infection and inflammation prevention. Manufactured through Fused Deposition Modeling technology (FDM), a form of 3D printing, the implant utilizes a bioresorbable polymer named poly-caprolactone (PCL). This manufacturing approach enables the production of pore structures, optimizing the implant's design for superior performance. The article underscores the synergy between bioresorbable materials, pore structures and advanced additive manufacturing techniques. Validation of the implant's quality is confirmed through a porosity test and elemental analysis, affirming its relevance in neurosurgical applications. This novel bioresorbable craniotomy plug implant emerges as a promising solution to improve neurosurgical outcomes and elevate patient care by mitigating the complications associated with traditional trephination burr holes.
"Development of Polymer-Based Bioresorbable Craniotomy Plug Implant: A Promising Solution for Addressing Cranial Defects", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.9, Issue 3, page no.679 - 686, March-2024, Available :http://www.ijrti.org/papers/IJRTI2403094.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator