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1.
Mol Pharm ; 20(2): 810-828, 2023 02 06.
Article in English | MEDLINE | ID: mdl-36652561

ABSTRACT

Calcium phosphate (CaP)-based materials have been extensively used for mineralized tissues in the craniofacial complex. Owing to their excellent biocompatibility, biodegradability, and inherent osteoconductive nature, their use as delivery systems for drugs and bioactive factors has several advantages. Of the three mineralized tissues in the craniofacial complex (bone, dentin, and enamel), only bone and dentin have some regenerative properties that can diminish due to disease and severe injuries. Therefore, targeting these regenerative tissues with CaP delivery systems carrying relevant drugs, morphogenic factors, and ions is imperative to improve tissue health in the mineralized tissue engineering field. In this review, the use of CaP-based microparticles, nanoparticles, and polymer-induced liquid precursor (PILPs) amorphous CaP nanodroplets for delivery to craniofacial bone and dentin are discussed. The use of these various form factors to obtain either a high local concentration of cargo at the macroscale and/or to deliver cargos precisely to nanoscale structures is also described. Finally, perspectives on the field using these CaP materials and next steps for the future delivery to the craniofacial complex are presented.


Subject(s)
Biomineralization , Collagen , Collagen/chemistry , Bone and Bones , Tissue Engineering , Calcium Phosphates/chemistry
2.
Clin Oral Investig ; 26(7): 5019-5027, 2022 Jul.
Article in English | MEDLINE | ID: mdl-35359187

ABSTRACT

OBJECTIVE: The aim of this study was to compare and characterize the structural and ultrastructural organization of the temporomandibular joint (TMJ) between two large animal models for use in the development of tissue engineering strategies. MATERIALS AND METHODS: Whole TMJs from sheep and pigs were evaluated with micro-computed tomography (µCT) for morphology and quantitative analyses of bone parameters. Histological examination was performed on the TMJ disc and its attachments to investigate regional distribution of collagen, elastin, and glycosaminoglycans (GAGs). RESULTS: µCT analyses demonstrate higher bone mineral density (BMD) in the temporal fossa compared to the mandibular condyle in both species, with this variable being significantly higher in sheep than pig. Quantitative morphometry of the trabecular condyle reveals no statistical differences between the species. Histology demonstrates similar structural organization of collagen and elastin between species. Elastin staining was nearly twofold greater in sheep than in the pig disc. Finally, Safranin-O staining for GAGs in the TMJ disc was localized to the intermediate zone in the sheep but was absent from the porcine disc. CONCLUSIONS: Our findings show some important differences in the pig and sheep TMJ µCT variables and histology and composition of the disc and discal attachment. These disparities likely reflect differences in masticatory and TMJ functional loading patterns between the two species and provide insights into large animal models towards human applications. CLINICAL RELEVANCE: As with the established pig model, the sheep is a suitable large animal model for TMJ research such as regenerative strategies, with specific considerations for design parameters appropriate for human-analog applications.


Subject(s)
Elastin , Temporomandibular Joint Disorders , Animals , Collagen , Disease Models, Animal , Glycosaminoglycans , Humans , Mandibular Condyle/diagnostic imaging , Sheep , Swine , Temporomandibular Joint/pathology , Temporomandibular Joint Disorders/pathology , Tissue Engineering , X-Ray Microtomography
3.
Am J Orthod Dentofacial Orthop ; 141(4): 451-9, 2012 Apr.
Article in English | MEDLINE | ID: mdl-22464527

ABSTRACT

INTRODUCTION: The purpose of this study was to determine the ability of orthodontists and orthodontic residents to identify nonorthodontic incidental findings and false positives in cone-beam computed tomography scans. METHODS: Two groups of 10 cone-beam computed tomography scans containing equal numbers of scans with no, 1, or several abnormal nonorthodontic lesions were selected from a database. Eight orthodontists and 8 orthodontic residents screened the 2 groups of scans before and after a basic cone-beam computed tomography training course. The paired t test was used for statistical analyses. RESULTS: In the initial screening, the orthodontists and residents correctly identified 41.1% of the lesions. This lesion-detection rate improved significantly to a mean of 56.7% after the training course (P <0.0005). In parallel with these findings, the mean percentage of correctly identified extragnathic lesions improved significantly, from 22% to 48% (P <0.0005), and correctly identified temporomandibular joint lesions improved from 20% to 55% (P = 0.01) after the training. In contrast, the rate of correctly identified dentomaxillofacial lesions remained largely unchanged before and after the training. Both groups of evaluators had approximately 5 false positives per 10 scans before training and demonstrated significant decreases in false positives after training. CONCLUSIONS: Relative to known error rates in medical radiology, both groups of evaluators had high error rates for missed lesions and false positives before and after training. Given these findings and since the most frequent cause of medical radiology malpractice litigation is due to missed lesions, it is recommended that an appropriately trained radiologist should be involved in reading and interpreting cone-beam computed tomography scans.


Subject(s)
Cone-Beam Computed Tomography , Incidental Findings , Internship and Residency/standards , Orthodontics/education , Software , Adolescent , Adult , Child , Cone-Beam Computed Tomography/methods , False Positive Reactions , Humans , Image Processing, Computer-Assisted/methods , Imaging, Three-Dimensional/methods , Jaw Diseases/diagnostic imaging , Middle Aged , Orthodontics/standards , Radiology/education , Temporomandibular Joint Disorders/diagnostic imaging , Young Adult
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