METHODS: We report a case series of 16 patients who successfully underwent fixation of the clavicle under the wide-awake technique. The clavicle fractures were grouped under the AO Fracture Classification. The WALANT solution comprised 1% lidocaine, 1:100,000 epinephrine, and 10:1 sodium bicarbonate. A total of 40 mL was injected in each patient with 10 mL subcutaneously along the clavicle followed by 30 mL subperiosteally at multiple intervals and directions.
RESULTS: The Numerical Pain Rating Score was 0 during WALANT injection and during surgery except for 2 patients with Numerical Pain Rating Scores of 1 and 2, respectively, during reduction.
CONCLUSION: We conclude that clavicle plating under WALANT is a good alternative option of anesthesia.
STUDY DESIGN: Experimental.
SAMPLE POPULATION: Fourteen equine cadaver limbs/horses.
METHODS: Simulated fractures were repaired with 2 lag screws under 4-Nm insertion torque (linear repair). Computed tomography (CT) imaging was performed with the leg unloaded and loaded to forces generated while walking. The fracture repair was revised to include 3 lag screws placed with the same insertion torque (triangular repair) prior to CT. The width of the fracture gap was assessed qualitatively by 2 observers and graded on the basis of gap measurements relative to the average voxel size at dorsal, mid, and palmar P1 sites. Interobserver agreement was assessed with Cohen's κ. The effect of repair type, loading condition, and measurement site on fracture gap grades was evaluated by using Kendall's τ-b correlation coefficients and paired nonparametric tests. Significance was set at P ≤ .05.
RESULTS: Agreement between loading and fracture gap widening was fair in triangular (κ = 0.53) and excellent in linear (κ = 0.81) repairs. Loading resulted in fracture gap distraction in linear repairs (Plinear = .008). Triangular repairs reduced fractures better irrespective of loading (Punloaded = .003; Ploaded
METHOD: Twenty pieces of fourth-generation, biomechanical testing grade, left third metacarpal composite bones were used. Resin was used to create the holding block at both ends of the bone. An oscillating saw with 0.8 mm thick saw blade was used to osteotomize the metacarpal sawbones to create a midshaft transverse metacarpal fracture model. Ten pieces were fixed with a 2.0 mm titanium locking plate via unicortical screw purchase and 10 were fixed with a 2.0 mm, four holes, titanium dynamic compression plate, bicortical purchase of screws. They were subjected to cyclic load to failure testing three-point bending and torsion.
RESULTS: There were no significant difference in stiffness and cyclic three-point bending to failure between the unicortical locking plate group and the bicortical compression plate group. The bicortical compression plate group is stiffer and has a higher cyclic bending load to failure as compared to the unicortical locking plate group.
CONCLUSION: Unicortical locking plate fixation of metacarpal fracture can be reliably applied clinically to produce a strong and stable construct that allows early mobilization of the joints. This will not only reduce the complication rate of metacarpal plating, but also improve the functional outcome of the hand.
INTRODUCTION: Artificial intelligence (AI) is a relatively new technology that has widespread use in dentistry. The AI technologies have primarily been used in dentistry to diagnose dental diseases, plan treatment, make clinical decisions, and predict the prognosis. AI models like convolutional neural networks (CNN) and artificial neural networks (ANN) have been used in endodontics to study root canal system anatomy, determine working length measurements, detect periapical lesions and root fractures, predict the success of retreatment procedures, and predict the viability of dental pulp stem cells. Methodology. The literature was searched in electronic databases such as Google Scholar, Medline, PubMed, Embase, Web of Science, and Scopus, published over the last four decades (January 1980 to September 15, 2021) by using keywords such as artificial intelligence, machine learning, deep learning, application, endodontics, and dentistry.
RESULTS: The preliminary search yielded 2560 articles relevant enough to the paper's purpose. A total of 88 articles met the eligibility criteria. The majority of research on AI application in endodontics has concentrated on tracing apical foramen, verifying the working length, projection of periapical pathologies, root morphologies, and retreatment predictions and discovering the vertical root fractures.
CONCLUSION: In endodontics, AI displayed accuracy in terms of diagnostic and prognostic evaluations. The use of AI can help enhance the treatment plan, which in turn can lead to an increase in the success rate of endodontic treatment outcomes. The AI is used extensively in endodontics and could help in clinical applications, such as detecting root fractures, periapical pathologies, determining working length, tracing apical foramen, the morphology of root, and disease prediction.
METHODS: Sixty-five extracted maxillary incisors were decoronated, its canal was artificially flared and randomly categorized into group tFRC (tapered FRC post) (n = 22), mFRC (multi-FRC post) (n = 21), and DIS-FRC (direct individually shaped-FRC (DIS-FRC) post) (n = 22), which were further subdivided based on cementation resin. The posts were cemented and a standardized resin core was constructed. After thermocycling, the samples were loaded statically and the maximum load was recorded.
RESULTS: The load capacity of the maxillary central incisor was influenced by the different FRC post system and not the resin cement (p = 0.289), and no significant interaction was found between them. Group mFRC (522.9N) yielded a significantly higher load capacity compared to DIS-FRC (421.1N). Overall, a 55% favorable fracture pattern was observed, and this was not statistically significant.
CONCLUSION: Within the limitation of the study, it can be concluded that prefabricated FRC posts outperform DIS-FRC posts in terms of the load capacity of a maxillary central incisor with a simulated flared root canal. The cementation methods whether a self-adhesive or self-etch resin cement, was not demonstrated to influence the load capacity of a maxillary central incisor with a flared root canal. There were no significant differences between the favorable and non-favorable fracture when FRC post systems were used to restored a maxillary central incisor with a flared root canal.
METHOD: This is a clinical audit of cases of STR and fracture with 5504 patient-year dialysis vintage over 10 years. In order to verify the risk factor, comparison of cases of tendon rupture, the gender, and dialysis vintage matched patients without tendon rupture were done, followed by comparison with post-parathyroidectomy patients.
RESULT: Six cases of STR involving eight tendons were identified, including a case of concurrent tendon rupture and bony fracture. These include two cases of double tendons ruptures. During this time, there were 15 cases of bony fracture without tendon rupture. The overall incidence rate for STR and fracture was of 0.0011 and 0.0029 incidence per year of dialysis vintage or one case per 917 and 344 patient-year dialysis vintage, respectively. For patients with PTH ≥ 600 pg/mL, the incidence rate of tendon rupture and fracture was 0.0199 and 0.0430 incidence per person-years or one case per 50 and 23 person-years, respectively. For patients with PTH 5202 and 1734 person-years. There was significant difference for incidence rates of tendon rupture and fracture between these two groups, with six incidences of tendon rupture per 302 patient-dialysis-years of PTH ≥ 600 pg/mL versus 0 incidence per 5202 patient-year dialysis vintage of PTH 600 pg/mL had high risk of tendon rupture and bony fracture. Parathyroidectomy might reduce the risk of tendon rupture and fracture with lowering ALP signifying reduction in bone turn over. Combined incidence rate of tendon rupture and fracture could be used to assess the control of hyperparathyroidism related issues in dialysis center.