AI Article Synopsis
- The success of bony fusion after arthrodesis relies on three key processes: osteoinduction, osteoconduction, and osteogenesis.
- Traditionally, autografts from the patient's own bone have been used for these biological processes, but there's often not enough to meet the needs.
- Modern spine surgery has incorporated alternatives like demineralized bone matrix and fibers to enhance autograft material, and the article reviews the history of bone grafting, the details of demineralized bone matrix production, and its effectiveness in spine fusions.
Article Abstract
Formation of bony fusion after arthrodesis depends on osteoinduction, osteoconduction, and osteogenesis. Traditionally, the patient's own bone, or autograft, has been used to provide biological material necessary for these steps. However, the amount of autograft obtainable is often inadequate. Modern spine surgery has adopted the use of many autograft extenders or replacements, such as demineralized bone matrix or fibers. The present article covers the history of bone grafting, the production and technical details of demineralized bone matrix, and the evidence supporting its use in spine fusions.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10753352 | PMC |
| http://dx.doi.org/10.14444/8558 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Use of osteogenic bone matrix in patients with traumatic long bone defects: An open label, single center study.
J Orthop
February 2025
Department of Orthopaedics, University of KwaZulu Natal, South Africa.
Background: Osteogenic Bone Matrix (Altis™ OBM) is a tissue-engineered, porcine-derived demineralized bone matrix prepared using a humanization processing technology that confers biocompatibility and improved osteoinductivity. The objective of this study was to determine the safety and efficacy of OBM in patients with traumatic long bone defects in an open-label, non-randomized single-center study.
Methods: Diagnosis and main criteria for inclusion were open long bone fractures graded as Gustilo-Anderson Grade II, IIIA or IIIB.
Comparing the release of growth factors when partially demineralized tooth matrix is mixed with platelet rich fibrin and injectable platelet rich fibrin: An observational study.
J Oral Maxillofac Pathol
October 2024
Department of Oral Pathology and Microbiology, Bareilly International University, Institute of Dental Sciences, Bareilly, UP, India.
Context: Platelet concentrates are rich in growth factors that assist in regenerative medicine to promote healing and tissue regeneration. Similarly, partially demineralized tooth is a storehouse of many growth factors, assisting in bone regeneration. Hence, the present study aimed to quantify the release of growth factors from different platelet concentrates individually and when mixed with a partially demineralized tooth matrix.
View Article and Find Full Text PDFCorrection to: Three-dimensional volumetric assessment and stability of simultaneously placed implant following sinus floor augmentation with deproteinized human demineralized tooth matrix or deproteinized bovine bone mineral: a randomized controlled clinical trial.
Oral Maxillofac Surg
December 2024
Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Prince of Songkla University, Hat Yai, 90112, Songkhla, Thailand.
An emergency medicine review: Multiple myeloma and its complications.
Am J Emerg Med
November 2024
Department of Emergency Medicine, University of Ottawa, Ottawa, Canada. Electronic address:
Introduction: Multiple myeloma (MM) and its complications carry a high rate of morbidity and mortality.
Objective: This review evaluates MM and its complications, including presentation, diagnosis, and management in the emergency department (ED) based on current evidence.
Discussion: MM is the second most common hematologic cancer and associated with monoclonal plasma cell proliferation.
Improved Osteoporosis Prediction in Breast Cancer Patients Using a Novel Semi-Foundational Model.
J Imaging Inform Med
December 2024
Department of Radiology, USF Health, Tampa, USA.
Small cohorts of certain disease states are common especially in medical imaging. Despite the growing culture of data sharing, information safety often precludes open sharing of these datasets for creating generalizable machine learning models. To overcome this barrier and maintain proper health information protection, foundational models are rapidly evolving to provide deep learning solutions that have been pretrained on the native feature spaces of the data.
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!