ABSTRACT
Developmental dysplasia of the hip (DDH) is a common skeletal malformation in children and the prominent cause of hip osteoarthritis and lower limb disability. The therapeutic difficulty and effect of DDH are closely related to an early and proper diagnosis. Hip ultrasonography and anteroposterior pelvic radiography are preferred depending on the presence of the secondary ossification center of the femoral head. Conventional diagnostic methods primarily relied on manual measurements and empirical judgments by clinicians, which were laborious and generally lacked reliability. The effective integration of medical imaging and artificial intelligence algorithms is expected to improve the diagnosis of pediatric DDH and enhance the efficiency of clinical diagnosis and treatment. Segmentation algorithms based on the extraction of local geometric features, 3D map search-based segmentation algorithms, and deep learning networks were utilized to assist in analyzing hip ultrasound images, calculating key dysplasia indicators, and diagnosing DDH in infants under 4-6 months. Computer-aided techniques, such as bone edge detection and template matching algorithms, deep transfer learning algorithms, and local-global feature mining convolutional neural networks were used to automatically identify bony landmarks on pelvic radiographs for measuring hip parameters and evaluating DDH in children over 4-6 months. However, there were several crucial problems in the clinical application of the artificial intelligence model for the auxiliary diagnosis of DDH due to technical limitations and insufficient understanding of researchers. This paper aims to review the progress of application in the medical artificial intelligence technology for the clinical auxiliary diagnosis of DDH. The author also provides references for future research for truly intelligent diagnostic tools.
ABSTRACT
Gradual distraction with an external fixator is a widely used treatment for severe postburn ankle contracture (SPAC). However, application of external fixators is complex, and conventional two-dimensional (2D) imaging-based surgical planning is not particularly helpful due to a lack of spatial geometry. The purpose of this study was to evaluate the surgical planning process for this procedure with patient-specific three-dimension-printed models (3DPMs). In this study, patients coming from two centers were divided into two cohorts (3DPM group vs. control group) depending on whether a 3DPM was used for preoperative surgical planning. Operation duration, improvement in metatarsal-tibial angle (MTA), range of motion (ROM), the American Orthopedic Foot and Ankle Society (AOFAS) scores, complications, and patient-reported satisfaction were compared between two groups. The 3DPM group had significantly shorter operation duration than the control group ((2.0±0.3) h vs. (3.2±0.3) h,
ABSTRACT
[Objective]To study the effect of simvastatin in the osteoclastic resorption stimulated by PTHrP and murine bone anabolism in vitro.[Method]The bone resorption activities of the osteoclast stimulated by PTHrP were evaluated after treatment with simvastatin for 8 days in vitro;the concentration of Ca~(2+) in the supernatant was also detected by atomic absorption spectrometer.The concentration of ALP and Ca~(2+) of the supematant in murine calvarial organ culture were detected.The histology of calvaria was observed.[Result]Simvastatin greatly inhibited the osteoclastic bone resorption stimulated by PTHrP in vitro and reduced the release of Ca~(2+).Simvastatin increased the ALP activities and bone mineralization of murines calvarial organ culture in vitro.[Conclusion]Simvastatin may inhibit the osteoclasric resorption stimulated by PTHrP and promote osteoblast differentiation and bone mineralization in vitro,thus play an important role in the prevention and treatment of osteoporosis.
ABSTRACT
[Objective]To investigate the effect of simvastatin on the osteoclast and the focal resorptin of calvaria bone.[Method]Animal model of calvaria bone resorption was induced by parathyroid hormone-related peptide in mice.[Result]Simvastatin on the dose of 10,20 mg/kg/d could inhibit the resorption of calvaria bone and the formation of osteoclast,while,no significant inhibition was observed on the low dose(0,5 mg/kd/d).[Conclusion]Simvastation can effectively inhibit the resorption of focal bone in mice.It may provide an important strategy in treatment of diseases involved focal bone resorption.
ABSTRACT
Objective:To study the effect of simvastatin on PTHrP stimulated osteoclastic resorption of murine calvarium and bone anabolism in vitro. Methods:Osteoclasts were isolated from bone marrow of Balb/C mice,cultured and identified.Calvaria of the new born Balb/C mice were cultured with PTHrP at 45 ng/ml and/or simvastatin at 10~ -7 -10~ -5 mol/L for 8 d.Ca~ 2+ and ALP in the culture supernatent were measured by atom spectrophotometer and automatic biochemical analyzer respectively.The bones were examined histologically.Results:Simvastatin at 10~ -7 -10~ -5 mol/L inhibited osteoclast formation and the osteoclastic bone resorption stimulated by PTHrP in vitro and reduced the release of Ca~ 2+ from the cultured osteoclasts in a dose-dependent manner. Simvastatin increased the ALP activities and bone mineralization of murines calvaria cultured in vitro. Conclusions:Simvastatin may inhibit the osteoclasric resorption stimulated by PTHrP and promote bone mineralization in vitro.