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- 저자 : Konomi Tsunehiko (검색결과 2 건)
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Tsunehiko Konomi,Akimasa Yasuda,Kanehiro Fujiyoshi,Yoshiyuki Yato,Takashi Asazuma 대한척추외과학회 2020 Asian Spine Journal Vol.14 No.1
Study Design: A retrospective, single-center clinical study with follow-up of more than 24 months. Purpose: To evaluate the union rates and relevant risk factors for non-union after posterior lumbar interbody fusion (PLIF) using porous-coated closed-box titanium spacers. Overview of Literature: Although the use of a closed-box interbody spacer for PLIF could avoid potential complications associated with the harvesting of autologous bone, few studies have reported detailed follow-up of fusion progression and risk factors for non-union in the early postoperative period. Methods: PLIF using closed-box spacers without filling the autologous bone was performed in 78 (88 levels) consecutive patients. Surgical procedures included PLIF using traditional pedicle screw fixation (PLIF, n=37), PLIF using cortical bone trajectory screw fixation (CBT-PLIF, n=30), and transforaminal lumbar interbody fusion with traditional pedicle screw fixation (TLIF, n=11). Lateral dynamic radiography and computed tomography findings were investigated, and the relationship between the union status and variables that may be related to the risk of non-union was tested statistically. Results: The overall bone union rates at 12 and 24 months were 68.0% and 88.5%, respectively. Incidences of bone cyst formation, subsidence, and retropulsion of spacers were 33.3%, 47.4%, and 14.1%, respectively. Union rates at 24 months were 94.6% in PLIF, 80.0% in CBT-PLIF, and 90.9% in TLIF. Multivariate logistic regression analyses showed that at 12 months postoperatively, the risk factor for non-union was age >75 years (p=0.02). In contrast, no significant risk factor was observed at 24 months. Conclusions: These findings demonstrated the efficacy of interbody closed-box spacers for PLIF without the need to fill the spacer with autologous bone. However, the risk of non-union should be considered in elderly patients, especially intra-operatively and during the early postoperative stage.
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Furukawa Mitsuru,Fujiyoshi Kanehiro,Okubo Toshiki,Yanai Yoshihide,Matsubayashi Kohei,Kato Takashi,Kobayashi Yoshiomi,Konomi Tsunehiko,Yato Yoshiyuki 대한척추외과학회 2023 Asian Spine Journal Vol.17 No.4
Study Design: This study adopted a cross-sectional study design.Purpose: This study was designed to investigate the effects of bone cross-link bridging on fracture mechanism and surgical outcomes in vertebral fractures using the maximum number of vertebral bodies with bony bridges between adjacent vertebrae without interruption (maxVB).Overview of Literature: The complex interplay of bone density and bone bridging in the elderly can complicate vertebral fractures, necessitating a better understanding of fracture mechanics.Methods: We examined 242 patients (age >60 years) who underwent surgery for thoracic to lumbar spine fractures from 2010 to 2020. Subsequently, the maxVB was classified into three groups: maxVB (0), maxVB (2–8), and maxVB (9–18), and parameters, including fracture morphology (new Association of Osteosynthesis classification), fracture level, and neurological deficits were compared. In a sub-analysis, 146 patients with thoracolumbar spine fractures were classified into the three aforementioned groups based on the maxVB and compared to determine the optimal operative technique and evaluate surgical outcomes.Results: Regarding the fracture morphology, the maxVB (0) group had more A3 and A4 fractures, whereas the maxVB (2–8) group had less A4 and more B1 and B2 fractures. The maxVB (9–18) group exhibited an increased frequency of B3 and C fractures. Regarding the fracture level, the maxVB (0) group tended to have more fractures in the thoracolumbar transition region. Furthermore, the maxVB (2–8) group had a higher fracture frequency in the lumbar spine area, whereas the maxVB (9–18) group had a higher fracture frequency in the thoracic spine area than the maxVB (0) group. The maxVB (9–18) group had fewer preoperative neurological deficits but a higher reoperation rate and postoperative mortality than the other groups.Conclusions: The maxVB was identified as a factor influencing fracture level, fracture type, and preoperative neurological deficits. Thus, understanding the maxVB could help elucidate fracture mechanics and assist in perioperative patient management.
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