Introduction: In complex clinical conditions when physiological bone regeneration is insufficient, there is a need to develop synthetic material-based scaffolds. The morphologic properties of porous scaffolds are of crucial importance. The dimensional accuracy of 3D printed scaffolds can be affected by a variety of factors.
Materials And Methods: Three groups of 3D printed scaffolds were investigated: PLA1 (pure polylactic acid) printed with an FDM Ultimaker Original printer, PLA2 and composite PLA/hydroxyapatite (PLA/HAp) scaffolds printed with a Pharaoh XD 20. PLA/HAp filament was created with hot-melt extrusion (HME) equipment. The morphology of the prepared scaffolds was investigated with SEM, micro-CT and superimposition techniques, gravimetric and liquid displacement methods.
Results: Layer heights of PLA1 scaffolds varied the most. PLA1 scaffold volume statistically significantly differed from PLA2 (p < 0.001) and PLA/HAp (p < 0.01) groups. Filament composition had no effect on the volumes of the scaffolds printed with the Pharaoh XD 20 printer (p > 0.05). The total porosity of printed PLA/HAp scaffolds deviated the least from the original STL model.
Conclusions: This study showed that PLA/10% HAp filament fabricated with HME and printed with FFF 3D printer produced equal or even better accuracy of printed scaffolds than scaffolds printed with pure PLA filament. Further research is needed to analyze the effect of HAp on 3D scaffold morphology, accuracy, mechanical and biologic properties.
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http://dx.doi.org/10.1016/j.jmbbm.2020.103616 | DOI Listing |
J Plast Surg Hand Surg
January 2025
Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden; Department of Oral and Maxillofacial Surgery, Skåne University Hospital, Malmö, Sweden; Department of Orthodontics, Malmö University, Malmö, Sweden.
Pre- and postoperative photos to assess results are widely used in plastic and reconstructive surgery, for instance, in patients with cleft lip and palate (CL/P). Evaluations are often performed by assessment panels by viewing the photos. However, these are prone to be subjective.
View Article and Find Full Text PDFInt Endod J
January 2025
OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven, Leuven, Belgium.
Aim: To develop and validate an artificial intelligence (AI)-powered tool based on convolutional neural network (CNN) for automatic segmentation of root canals in single-rooted teeth using cone-beam computed tomography (CBCT).
Methodology: A total of 69 CBCT scans were retrospectively recruited from a hospital database and acquired from two devices with varying protocols. These scans were randomly assigned to the training (n = 31, 88 teeth), validation (n = 8, 15 teeth) and testing (n = 30, 120 teeth) sets.
J Dent Sci
January 2025
School of Dental Technology, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
Background/purpose: The performance of intraoral scanners (IOSs) relies on the operator's skills. However, whether operator experience influences IOS accuracy remains unclear. This study investigated the effect of operator experience on the trueness accuracy and time-based efficiency of IOSs.
View Article and Find Full Text PDFPlast Reconstr Surg Glob Open
January 2025
From the Department of Plastic and Reconstructive Surgery, Weill Cornell Medicine, New York, NY.
Background: Identification of peripheral nerve injuries of the head and neck can be challenging due to a broad spectrum of symptoms from neuropathic pain to headaches and migraine. This article aimed to present the clinical features and diagnostic workup of patients with acute and chronic peripheral nerve injuries of the head and neck using magnetic resonance neurography (MRN), to demonstrate potential advantages compared with conventional magnetic resonance imaging (MRI).
Methods: Patients who presented with suspected peripheral nerve injury were either referred for a conventional MRI or MRN.
NPJ Comput Mater
January 2025
Computational Atomic-scale Materials Design (CAMD), Department of Physics, Technical University of Denmark, Kgs. Lyngby, Denmark.
We conduct a systematic investigation of the role of Hubbard U corrections in electronic structure calculations of two-dimensional (2D) materials containing 3 transition metals. Specifically, we use density functional theory (DFT) with the PBE and PBE+U approximations to calculate the crystal structure, band gaps, and magnetic parameters of 638 monolayers. Based on a comprehensive comparison to experiments we first establish that the inclusion of the U correction worsens the accuracy for the lattice constants.
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