This study was designed to evaluate the SERI Surgical Scaffold, a silk-derived bioresorbable scaffold, in an ovine model of two-stage breast reconstruction. Sheep were implanted bilaterally with either SERI or sham sutures during the stage 1 procedure. The SERI group underwent an exchange procedure for a breast implant at 3 months; animals in the sham group were killed at 3 months. The sham samples were significantly weaker than the SERI plus tissue samples by 3 months. At all endpoints, SERI plus tissue samples were greater than or equal to 150 percent of native ovine fascial strength. Histologic evaluation of SERI samples showed evidence of bioresorption through 12 months. SERI provided adequate soft-tissue support with progressive bioresorption. By 12 months, newly formed tissue had assumed the majority of load-bearing responsibility.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/PRS.0000000000000697 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluating grease trap management practices: A case study from Seri Kembangan, Malaysia.
J Environ Manage
January 2025
Department of Food Service and Management, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia; Laboratory of Food Safety and Food Integrity Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia. Electronic address:
Sewerage blockages due to oil and grease deposition discharged from food premises remain a persistent issue globally. This study evaluates the degree of compliance of food premises in Seri Kembangan, Selangor, Malaysia with grease trap guideline, and investigates the factors affecting restaurants' compliance performance. Data were collected from 36 restaurants through a questionnaire-based interview consisting of questions about grease trap installation, operation, maintenance and waste disposal, followed by a walkthrough of the kitchen.
View Article and Find Full Text PDFDiagnosis of cognitive impairment and dementia: blood plasma and optical coherence tomography.
Brain Commun
December 2024
Singapore Eye Research Institute, Singapore National Eye Centre, The Academia, Singapore 169856, Singapore.
Article Synopsis
- Accurate diagnosis of Alzheimer's disease and vascular dementia is vital for timely treatment and better patient outcomes; this study focused on plasma and retinal biomarkers for differentiation among cognitive impairment groups.
- The study involved 509 participants aged 50 and older, categorized into groups based on cognitive function using clinical assessments, neuropsychological tests, and MRI scans.
- The findings revealed that both retinal layer thickness and plasma biomarker levels varied significantly across cognitive impairment levels, with decreases seen in retinal thickness and increases in plasma biomarkers from normal cognition to dementia.
Advantages of different dietary supplements for elite combat sports athletes: a systematic review and Bayesian network meta-analysis.
Sci Rep
January 2025
Department of Multimedia, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Seri Kembangan, Malaysia.
With an increasing number of studies delving into the impact of dietary supplements on combat sports performance, researchers are actively seeking a more efficient dietary supplement for use in these sports. Nonetheless, controversies persist. Hence, we undertook a systematic review and Bayesian network meta-analysis to discern the most effective dietary supplements in combat sports by synthesizing the available evidence.
View Article and Find Full Text PDFMachine learning-based technique for gain prediction of mm-wave miniaturized 5G MIMO slotted antenna array with high isolation characteristics.
Sci Rep
January 2025
Space Science Centre, Climate Change Institute, Universiti Kebangsaan Malaysia (UKM), 43600, Bangi, Malaysia.
This study presents the design and analysis of a compact 28 GHz MIMO antenna for 5G wireless networks, incorporating simulations, measurements, and machine learning (ML) techniques to optimize its performance. With dimensions of 3.19 λ₀ × 3.
View Article and Find Full Text PDFLocal interpretable model-agnostic explanation approach for medical imaging analysis: A systematic literature review.
Comput Biol Med
December 2024
Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak, Malaysia; Center for Research in Data Science (CeRDaS), Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak, Malaysia. Electronic address:
Background: The interpretability and explainability of machine learning (ML) and artificial intelligence systems are critical for generating trust in their outcomes in fields such as medicine and healthcare. Errors generated by these systems, such as inaccurate diagnoses or treatments, can have serious and even life-threatening effects on patients. Explainable Artificial Intelligence (XAI) is emerging as an increasingly significant area of research nowadays, focusing on the black-box aspect of sophisticated and difficult-to-interpret ML algorithms.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!