Orthopaedic surgeons routinely assess the biomechanical environment of a fracture to create a fixation construct that provides the appropriate amount of stability in efforts to optimize fracture healing. Emerging concepts and technologies including reverse dynamization, "smart plates" that measure construct strain, and FractSim software that models fracture strain represent recent developments in optimizing construct biomechanics to accelerate bone healing and minimize construct failure.
View Article and Find Full Text PDFPurpose: To develop a quality appraisal tool for the assessment of cadaveric biomechanical laboratory and other basic science biomechanical studies.
Methods: For item identification and development, a systematic review of the literature was performed. The content validity index (CVI) was used either to include or exclude items.
Almost all prior mouse fracture healing models have used needles or K-wires for fixation, unwittingly providing inadequate mechanical stability during the healing process. Our contention is that the reported outcomes have predominantly reflected this instability, rather than the impact of diverse biological conditions, pharmacologic interventions, exogenous growth factors, or genetic considerations. This important issue becomes obvious upon a critical review of the literature.
View Article and Find Full Text PDFThe management of bone defects and nonunions creates unique clinical challenges. Current treatment alternatives are often insufficient and frequently require multiple surgeries. One promising option is bone morphogenetic protein-2 (BMP-2), which is the most potent inducer of osteogenesis.
View Article and Find Full Text PDFThis article was updated on December 20, 2023, because of previous errors, which were discovered after the preliminary version of the article was posted online. Figure 4 has been replaced with a figure that presents different p values. Also, on page 1943, the text that had read: "Quantitative microCT confirmed that the total volume of the regenerate in the RD group was much smaller compared with the SF (p = 0.
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