Background: The functional and esthetic rehabilitation of patients with atrophic maxilla or posterior maxillary defect is often challenging. The aim of this study was to determine patient demographics, indications, success rate, and complications following the use of zygoma implants.
Materials And Methods: All patients who had zygoma implant placement in our clinic between 1998 and 2013 were retrospectively assessed for implant outcome. Data were analyzed using Statistical Package for the Social Sciences (SPSS) version 16 and Microsoft Excel 2007 test for significance (ρ) using Pearson's Chi-square (χ) set at 0.05.
Results: A total of 28 patients consisting of 22 females (78.6%) and 6 males (21.4%) were treated, and their age ranged from 41 years to 83 years with a mean age of 60.3 ± 10.6 years. The main indication for zygoma implant placement was atrophic maxilla 12 (42.9%). In the prosthetic rehabilitation of the patients, 2 had epithetic prostheses, and 2 had obturators while 18 patients had conventional removable dental prostheses. Four patients (14.3%) had perimplantitis and one implant was accidentally placed into the maxillary sinus. A cumulative success rate of 88.1% was obtained from this retrospective analysis.
Conclusion: A cumulative success rate of 88.1% reported in this study is lower than the reports from other studies. The difference in success rates may be related to different criteria for assessment of zygoma implant success and to the difference in inclusion criteria and follow-up period.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713059 | PMC |
http://dx.doi.org/10.4103/1735-3327.218561 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Protein language models (PLMs) have demonstrated impressive success in modeling proteins. However, general-purpose "foundational" PLMs have limited performance in modeling antibodies due to the latter's hypervariable regions, which do not conform to the evolutionary conservation principles that such models rely on. In this study, we propose a transfer learning framework called Antibody Mutagenesis-Augmented Processing (AbMAP), which fine-tunes foundational models for antibody-sequence inputs by supervising on antibody structure and binding specificity examples.
View Article and Find Full Text PDFJ Neurosurg
January 2025
1Department of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui.
Objective: Endovascular treatment (EVT) is an effective treatment for patients with acute vertebrobasilar artery complex occlusion (VBAO). However, the benefit of bridging thrombolysis prior to EVT remains controversial. The purpose of the present study is to explore the best treatment strategy between bridging treatment (BT) and direct EVT in patients with acute VBAO.
View Article and Find Full Text PDFOtol Neurotol
February 2025
Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins Hospital, Baltimore, MD.
Objective: The physician-scientist workforce is shrinking in the United States. Academic otologists/neurotologists face a diverse set of barriers to successful careers. We aimed to characterize the factors affecting contemporary otology/neurotology surgeon-scientists.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
Department of Chemistry, University of Southern California, Los Angeles, California 90089, United States.
Generative artificial intelligence (AI) models trained on natural protein sequences have been used to design functional enzymes. However, their ability to predict individual reaction steps in enzyme catalysis remains unclear, limiting the potential use of sequence information for enzyme engineering. In this study, we demonstrated that sequence information can predict the rate of the S2 step of a haloalkane dehalogenase using a generative maximum-entropy (MaxEnt) model.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
Department of Neurointervention, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China.
To evaluate the safety and efficacy of staged coiling followed by flow diverter (FD) in the treatment of ruptured intracranial aneurysms(RIAs). A retrospective analysis was conducted on 20 patients with RIAs treated with staged coiling followed by FD at a single center, between April 2015 and September 2024. Patient demographics, aneurysm characteristics, clinical and imaging outcomes were reviewed.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!