Department of Orthopaedics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China.
Institute of Microsurgery On Extremities, Shanghai Jiaotong University Affiliated Sixth, People's Hospital, Shanghai, 200233, China.
Int Orthop. 2022 Feb;46(2):381-390. doi: 10.1007/s00264-021-05260-6. Epub 2021 Nov 16.
Extended curettage has increasingly become the preferred treatment for giant cell tumour of bone (GCTB), but the high recurrence rate after curettage poses a major challenge for orthopaedic surgeons. Computed tomography (CT) is valuable in the evaluation of GCTB. Our aim was to identify specific features of GCTB around the knee in pre-operative CT images that might have prognostic value for local recurrence.
We retrospectively analyzed data from 124 patients with primary GCTB around the knee who underwent extended curettage from 2010 through 2019. We collected demographic, clinical, and therapeutic data along with several CT-derived tumour characteristics. CT-derived tumor characteristics included tumour size, the distance between the tumour edge and articular surface (DTA), and destruction of posterior cortical bone (DPC). Akaike information criterion (AIC) was used to select which variables to enter into multivariate logistic regression models and to determine significant factors affecting recurrence.
The total recurrence rate was 21.0% (26/124), and the average follow-up time was 69.5 ± 31.2 months (24-127 months). Age, DTA (< 2 mm), and DPC were significantly related to recurrence, as determined by multivariate logistic regression. The C-index of the final model was 0.79 (95% CI: 0.71 to 0.88), representing a good model for predicting recurrence.
Identifying certain features of GCTB around the knee on CT has prognostic value for patients treated with extended curettage. A three-factor model predicts tumour recurrence well after extended curettage.
对于骨巨细胞瘤(GCTB),广泛刮除术已逐渐成为首选治疗方法,但刮除术后的高复发率给矫形外科医生带来了巨大挑战。计算机断层扫描(CT)在 GCTB 的评估中具有重要价值。我们的目的是在术前 CT 图像中识别膝关节周围 GCTB 的特定特征,这些特征可能对局部复发具有预后价值。
我们回顾性分析了 2010 年至 2019 年间接受广泛刮除术治疗的 124 例膝关节周围原发性 GCTB 患者的数据。我们收集了人口统计学、临床和治疗数据以及几个 CT 衍生的肿瘤特征。CT 衍生的肿瘤特征包括肿瘤大小、肿瘤边缘与关节面之间的距离(DTA)以及后皮质骨破坏(DPC)。Akaike 信息准则(AIC)用于选择将哪些变量纳入多变量逻辑回归模型,并确定影响复发的显著因素。
总复发率为 21.0%(26/124),平均随访时间为 69.5±31.2 个月(24-127 个月)。多变量逻辑回归确定年龄、DTA(<2mm)和 DPC 与复发显著相关。最终模型的 C 指数为 0.79(95%CI:0.71-0.88),表明该模型对预测复发具有良好的预测价值。
在 CT 上识别膝关节周围 GCTB 的某些特征对接受广泛刮除术治疗的患者具有预后价值。三因素模型能很好地预测广泛刮除术后肿瘤的复发。