Objective: This investigation determined the internal precision of one-piece cross-arch yttria partially stabilized tetragonal zirconia polycrystalline (Y-TZP) ceramic fabricated from two digital systems (Trios-3 and CS-3500) compared to traditional metal alloy casting.
Materials And Methods: A metal model consisting of four abutments (two canine and two molar) was used for one-piece cross-arch reconstruction. The metal abutments were computerized, prepared in a cylinder form possessing 5° taper and chamfer margin. Two digital approaches of computer-aided design and computer-aided manufacturing were used to fabricate one-piece cross-arch Y-TZP prostheses. The traditional lost wax technique was used to fabricate conventional cast prostheses with nonnoble metal alloys. Ten prostheses were constructed from each system. The preciseness of the prosthesis was evaluated at 22 positions for each abutment using a digital stereomicroscope. Analysis of variance (ANOVA) and Tukey's method were determined for all pairwise differences at the 95% CI.
Results: The means and SDs of internal accuracy of prostheses constructed from the traditional cast technique, Trios-3, and CS-3500 were 75.15±13.46 μm, 78.55±14.30 μm, and 82.43±16.32 μm, respectively. ANOVA revealed statistical significance for the internal accuracy of prostheses between the different techniques at different positions of each abutment. Preciseness of the Y-TZP prosthesis constructed from Trios-3 illustrated significantly better internal fit than that constructed from CS-3500 (<0.05). Tukey multiple comparisons revealed that the Y-TZP prosthesis constructed from both digital systems displayed significantly less internal fit than the traditionally fabricated prosthesis (<0.05).
Conclusion: The one-piece cross-arch Y-TZP prosthesis constructed from Trios-3 demonstrated superior internal accuracy than that from CS-3500, but both slightly lower in accuracy than the traditional cast metal prosthesis. Nevertheless, the internal discrepancies of the Y-TZP prosthesis fabricated by both digital techniques were not beyond the range of clinical prestige and were convincingly precise to be recommended for one-piece cross-arch extensive reconstruction.
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http://dx.doi.org/10.2147/CCIDE.S168830 | DOI Listing |
Front Physiol
December 2024
Department of Oral & Maxillofacial Surgery, Shenzhen Stomatology Hospital, Affiliated to Shenzhen University, Shenzhen, Guangdong Province, China.
Introduction: This study aimed to develop a deep learning-based method for interpreting magnetic resonance imaging (MRI) scans of temporomandibular joint (TMJ) anterior disc displacement (ADD) and to formulate an automated diagnostic system for clinical practice.
Methods: The deep learning models were utilized to identify regions of interest (ROI), segment TMJ structures including the articular disc, condyle, glenoid fossa, and articular tubercle, and classify TMJ ADD. The models employed Grad-CAM heatmaps and segmentation annotation diagrams for visual diagnostic predictions and were deployed for clinical application.
Front Oncol
December 2024
Department of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, China.
Background And Purpose: Distant metastasis in bladder cancer is linked to poor prognosis and significant mortality. Machine learning (ML), a key area of artificial intelligence, has shown promise in the diagnosis, staging, and treatment of bladder cancer. This study aimed to employ various ML techniques to predict distant metastasis in patients with bladder cancer.
View Article and Find Full Text PDFWorld J Gastroenterol
December 2024
Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China.
Background: Hepatocellular carcinoma (HCC) is a major factor for cancer-associated mortality globally. Although the systemic immune-inflammation index (SII) and albumin (ALB) show individual prognostic value for various cancers, their combined significance (SII/ALB) in HCC patients undergoing curative hepatectomy is still unknown. It is hypothesized that a higher SII/ALB ratio correlates with poorer outcomes with regard to overall survival (OS) and recurrence-free survival (RFS).
View Article and Find Full Text PDFFront Pediatr
December 2024
Department of Pediatric Surgery, Suining Central Hospital, Suining, Sichuan Province, China.
Objective: The aim of this research was to develop and internally validate a nomogram for forecasting the length of hospital stay following laparoscopic appendectomy in pediatric patients diagnosed with appendicitis.
Methods: We developed a prediction model based on a training dataset of 415 pediatric patients with appendicitis, and hospitalization data were collected retrospectively from January 2021 and December 2022. The primary outcome measure in this study was hospital length of stay (LOS), with prolonged LOS defined as admission for a duration equal to or exceeding the 75th percentile of LOS, including the discharge day.
Cureus
November 2024
Department of Biochemistry, Pramukhswami Medical College, Bhaikaka University, Anand, IND.
Background Sigma metrics, a cornerstone of quality control (QC) in manufacturing, have been increasingly adopted in analytical processes. In clinical biochemistry labs, Sigma analysis provides insights into the level of QC achieved and identifies deviations from perfection. Methods A prospective-retrospective observational study was conducted at the Central Diagnostic Laboratory of Shree Krishna Hospital between August 2021 and July 2022.
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