ArticleScientific reports2023
Prioritizing biomaterials for spinal disc implants by a fuzzy AHP and TOPSIS decision making method.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Direct Laser Interference Patterning (DLIP) on PEEK Coating for Biomedical and Dental Applications.European journal of dentistry · 2026Article
- LCD-AHP-TRIZ methodology enhances low-carbon principles in smart product design.Scientific reports · 2025Article
- Soft cluster-rectangle method for eliciting criteria weights in multi-criteria decision-making.Scientific reports · 2025Article
- Evaluating music education interventions for mental health in Chinese university student: a dual fuzzy analytic method.Scientific reports · 2024Article
- Evaluation of Load on Cervical Disc Prosthesis by Imposing Complex Motion: Multiplanar Motion and Combined Rotational-Translational Motion.Bioengineering (Basel, Switzerland) · 2024Article
- Verification and Validation of Advanced Control Systems for a Spinal Joint Wear Simulator.Bioengineering (Basel, Switzerland) · 2024Article
- Article
- Prosthetic restoration material selection using an integrated Fermatean fuzzy MCDM method.Science progressArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Considerable research has been focused on identifying the optimum biomaterial for spine implants. New technologies and materials have allowed surgeons to better grasp the biomechanical principles underpinning implant stability and function. An optimal biomaterial for total disc replacement (TDR) should include essential characteristics such as biocompatibility, long-term durability, the capacity to withstand mechanical stresses, and economic viability. Our research has focused on six biomaterials for TDR, including Ti-6Al-4V, CoCr alloy, stainless steel 316L, zirconia toughened alumina (ZTA), polyether ether ketone (PEEK) and ultra-high-molecular weight polyethylene (UHMWPE). Ten common properties, i.e., the Young's modulus, density, tensile strength, the expense of the manufacturing process, the cost of raw material, wear rate, corrosion resistance, thermal conductivity, fracture toughness and compressive strength were utilized to assess these six different materials. The purpose of this study was to evaluate and rank the six alternative biomaterials proposed for use in the endplates and articulating surface of a spinal TDR. To accomplish this, a multi-criteria decision-making approach, namely the fuzzy analytic hierarchy process (fuzzy AHP) and the Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) was adopted to solve the model. For validation and robustness of the proposed method, sensitivity analysis was performed, and comparison was performed with fuzzy-VIKOR and fuzzy-MOORA methods. In light of the study's results, ZTA and Ti-6Al-4V were identified as the best suited materials for the articulating surface and endplates, respectively, in a spinal disc implant.
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