首页|早期股骨头坏死患者CT征象和相关参数对股骨头塌陷风险的预测价值及与预后的关系

早期股骨头坏死患者CT征象和相关参数对股骨头塌陷风险的预测价值及与预后的关系

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目的 观察早期股骨头坏死患者CT征象,并分析CT灌注参数对股骨头塌陷风险的预测价值及与预后的关系.方法 选择2017年8月至2021年3月就诊于本院的98例早期股骨头坏死患者,所有患者均接受CT检查,观察CT征象.随访2年,按照随访期间是否出现股骨头塌陷分为塌陷组、未塌陷组,对比两组CT参数,绘制ROC曲线分析CT灌注参数预测股骨头塌陷的价值.另根据随访期间患者预后分为预后良好组、预后不良组,对比两组临床资料、CT参数,建立多因素Logistic回归模型,分析影响早期股骨头坏死患者预后的相关因素.结果 CT征象显示,45例患者以股骨头呈拥挤融合与扇状硬化改变、骨小梁增粗或骨质硬化为主,53例患者以股骨头关节面轻微塌陷、骨小梁微骨折、部分出现皮质下新月征为主;随访2年,98例早期股骨头坏死患者出现34例股骨头塌陷(34.69%),20例预后不良(20.41%);塌陷组MMT、BV、BF均低于未塌陷组(P<0.05);绘制ROC曲线发现,MMT、BV、BF及三者联合预测股骨头塌陷的 AUC 分别为 0.819(95%CI:0.738-0.900)、0.878(95%CI:0.812-0.945)、0.873(95%CI:0.807-0.940)、0.955(95%CI:0.921-0.990);预后良好组、预后不良组的性别、年龄、病因、坏死形状相比,差异无统计学意义(P>0.05);预后不良组Ficat分期、坏死部位在外上象限比例、坏死体积比例高于预后良好组,MMT、BV、BF低于预后良好组(P<0.05);经Logistic回归分析,结果显示,Ficat分期(Ⅲ期)、坏死部位(外上象限)、坏死体积比例高是影响早期股骨头坏死患者预后的独立危险因素(OR>1,P<0.05),MMT上升、BV上升、BF上升是保护因素(OR<1,P<0.05).结论 CT可有效检出早期股骨头坏死,CT征象以骨质硬化、骨小梁增粗、新月征为主,且CT灌注参数与股骨头塌陷风险、预后密切相关.
Prognostic Value of CT Signs and Related Parameters on the Risk of Femoral Head Collapse in Patients with Early Femoral Head Necrosis and Its Relationship with Prognosis
Objective To observe the CT signs of patients with early femoral head necrosis,and analyze the value of CT perfusion parameters in predicting the risk of femoral head collapse and its relationship with prognosis.Methods Ninety-eight patients with early necrosis of femoral head admitted to our hospital from August 2017 to March 2021 were selected.All patients underwent CT examination and CT signs were observed.During 2-year follow-up,femoral head collapse was divided into collapsed group and non-collapsed group according to whether femoral head collapse occurred during the follow-up period.CT parameters of the two groups were compared,and ROC curve was drawn to analyze the value of CT perfusion parameters in predicting femoral head collapse.According to the prognosis during the follow-up period,the patients were divided into good prognosis group and poor prognosis group.By comparing the clinical data and CT parameters of the two groups,a multivariate Logistic regression model was established to analyze the related factors affecting the prognosis of the patients with early femoral head necrosis.Results The CT findings showed that the femoral head was crowded and fused with fan-like sclerosis,trabecular thickening or osteosclerosis in 45 patients,and the articular surface of the femoral head was slightly collapsed,trabecular microfracture,and some subcortical crescent signs in 53 patients.After 2 years of follow-up,34(34.69%)of 98 patients with early femoral head necrosis had femoral head collapse,and 20(20.41%)had poor prognosis.MMT,BV and BF in collapse group were lower than those in non-collapse group(P<0.05).Drawing ROC curve found that,The AUC of MMT,BV,BF and their combination for predicting femoral head collapse were 0.819(95%CI:0.738-0.900),0.878(95%CI:0.812-0.945),0.873(95%CI:0.807-0.940)and 0.955(95%CI:0.921-0.990);There was no significant difference in gender,age,etiology and necrotic shape between good prognosis group and bad prognosis group(P>0.05).The Ficat stage,necrotic site ratio in outer upper quadrant and necrotic volume ratio in poor prognosis group were higher than those in good prognosis group,while MMT,BV and BF were lower than those in good prognosis group(P<0.05).Logistic regression analysis showed that Ficat stage(Ⅲ),necrotic site(upper outer quadrant)and high necrotic volume ratio were independent risk factors affecting the prognosis of patients with early femoral head necrosis(OR>1,P<0.05),and the rise of MMT,BV and BF were protective factors(OR<1,P<0.05).Conclusion CT can effectively detect early necrosis of femoral head.The main CT signs are osteosclerosis,trabecular thickening and crescent sign,and CT perfusion parameters are closely related to the risk and prognosis of femoral head collapse.

Early Necrosis of Femoral HeadCT SignsCt Perfusion ParametersFemoral Head CollapsePrognosis

杨光辉、李小荣、易进、李岳伟

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厦门大学附属成功医院(福建厦门 361000)

早期股骨头坏死 CT征象 CT灌注参数 股骨头塌陷 预后

福建医学科技青年培育项目

18FBQN2017041

2024

中国CT和MRI杂志
北京大学深圳临床医学院 北京大学第一医院

中国CT和MRI杂志

CSTPCD
影响因子:1.578
ISSN:1672-5131
年,卷(期):2024.22(5)
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