中国组织工程研究 ›› 2020, Vol. 24 ›› Issue (18): 2893-2899.doi: 10.3969/j.issn.2095-4344.2658

• 骨与关节图像与影像Bone and joint imaging • 上一篇    下一篇

MRI T2WI量化指标评估胸椎黄韧带骨化症手术预后的价值

申沧海1,2,冯永健2,宋彦澄3,刘  钢2,刘志伟2,王  玲2,戴海洋2   

  1. 1天津医科大学沧州市中心医院教学医院,河北省沧州市  061000;沧州市中心医院,2骨四科,3磁共振成像科,河北省沧州市  061000
  • 收稿日期:2019-11-01 修回日期:2019-11-12 接受日期:2019-12-13 出版日期:2020-06-28 发布日期:2020-04-03
  • 通讯作者: 申沧海,天津医科大学沧州市中心医院教学医院,河北省沧州市 061000;沧州市中心医院骨四科,河北省沧州市 061000
  • 作者简介:申沧海,男,1986 年生,河北省沧州市人,汉族, 2019年天津医科大学毕业,主治医师,医学博士。
  • 基金资助:
    沧州市重点研发计划指导项目(172302149)

Value of quantitative MRI T2WI parameters in predicting surgical outcome of thoracic ossification of the ligamentum flavum

Shen Canghai1, 2, Feng Yongjian2, Song Yancheng3, Liu Gang2, Liu Zhiwei2, Wang Ling2, Dai Haiyang2   

  1. 1Cangzhou Central Hospital Teaching Hospital, Tianjin Medical University, Cangzhou 061000, Hebei Province, China; 2Fourth Department of Orthopedics, 3Department of MRI, Cangzhou Central Hospital, Cangzhou 061000, Hebei Province, China
  • Received:2019-11-01 Revised:2019-11-12 Accepted:2019-12-13 Online:2020-06-28 Published:2020-04-03
  • Contact: Shen Canghai, Cangzhou Central Hospital Teaching Hospital, Tianjin Medical University, Cangzhou 061000, Hebei Province, China; Fourth Department of Orthopedics, Cangzhou Central Hospital, Cangzhou 061000, Hebei Province, China
  • About author:Shen Canghai, MD, Attending physician, Cangzhou Central Hospital Teaching Hospital, Tianjin Medical University, Cangzhou 061000, Hebei Province, China; Fourth Department of Orthopedics, Cangzhou Central Hospital, Cangzhou 061000, Hebei Province, China
  • Supported by:
     the Key Research and Development Guidance Program of Cangzhou, No. 172302149

摘要:

文题释义:

胸椎黄韧带骨化症:是一种病理性的异位骨化,起病隐匿,其病因及发病机制仍不清楚,部分学者认为与遗传、代谢异常、生活环境及退变等因素相关。胸椎黄韧带骨化症是导致胸椎管狭窄的最常见、最重要原因,由于胸脊髓血供较脆弱,当椎管狭窄时可明显影响脊髓血液循环,造成脊髓功能障碍,主要症状表现为下肢的感觉运动障碍。

受试者工作特征(ROC)曲线:就是以假阳性概率为横轴,真阳性为纵轴所组成的坐标图,和受试者在特定刺激条件下由于采用不同的判断标准得出的不同结果画出的曲线。

背景:MRI对于胸脊髓病变具有较高的灵敏性,能够通过脊髓受压的形态及信号强度变化来评估脊髓受损情况,并且对胸椎管狭窄症患者手术预后有提示作用。

目的:分析MRI T2WI量化指标对胸椎黄韧带骨化症患者手术预后的评估价值,并建立预后不良的预测模型,为其预后评估提供参考。

方法:回顾性分析2010年1月至2019年1月沧州市中心医院87例行胸椎管后壁切除减压术且完成术后随访的胸椎黄韧带骨化症患者的临床与影像学资料。根据术后6个月随访时的JOA评分改善率将患者分为预后优良组(改善率≥50%)和预后不良组(改善率<50%)。比较两组患者年龄、性别、病程、JOA评分、骨化物Sato分型、脊髓矢状径残余率、脊髓横截面积、脊髓高信号分布、脊髓信号强度比值、高信号范围、胸椎局部后凸角、后凸角矫正度数、减压节段数以及脑脊液漏变化。单因素分析有显著性差异的指标。采用受试者工作特征曲线(ROC)进行预后分析,纪录曲线下面积及预测界值。多因素Logistic回归分析确定预后不良的独立危险因素,并建立预测模型。

结果与结论:①预后优良组与预后不良组患者病程、JOA评分、脊髓矢状径残余率、脊髓横截面积、脊髓信号强度比值、高信号范围比较差异有显著性意义(P < 0.05);②ROC曲线分析显示,上述各指标预测手术预后不良的曲线下面积分别为0.670,0.733,0.647,0.715,0.753和0.765,预测界值分别为13个月、4 分、29.8%、0.25 cm2、1.593和13.64 mm。病程与脊髓矢状径残余率预测价值较低(ROC曲线下面积 < 0.7);JOA评分、脊髓横截面积、脊髓信号强度比值与高信号范围具有中等预测价值(ROC曲线下面积 0.7-0.9)。脊髓信号强度比值联合高信号范围预测预后不良的ROC曲线下面积为0.791。③多因素Logistic回归分析显示:JOA评分、脊髓横截面积、脊髓信号强度比值联合高信号范围为预后不良的独立危险因素(P < 0.05),并据此建立预测模型,该模型预测预后不良的曲线下面积为0.890,显著高于JOA评分、脊髓横截面积、脊髓信号强度比值联合高信号范围预测的曲线下面积(P < 0.05)。④结果证实,对胸椎黄韧带骨化症患者而言,在MRI量化指标中,脊髓信号强度比值联合高信号范围具有最高的手术预测价值,JOA评分与MRI T2WI量化指标相结合,可更好地预测术后风险。

ORCID: 0000-0003-3354-1228(申沧海)

中国组织工程研究杂志出版内容重点:人工关节;骨植入物;脊柱骨折;内固定;数字化骨科;组织工程

关键词:

磁共振成像, 脊柱疾病, 胸椎, 黄韧带, 椎管狭窄, 后路减压手术, 影像学参数, 高信号, 影响因素, 预后, 组织工程

Abstract:

BACKGROUND: MRI has high sensitivity to thoracic myelopathy, which can assess the spinal cord injury by morphology and magnitude of cervical spinal cord compression. Additionally, it is a valuable tool for the prognosis evaluation of thoracic spinal stenosis.

OBJECTIVE: To explore the value of quantitative MRI T2WI parameters in predicting surgical outcome of thoracic ossification of the ligamentum flavum, and to establish the prediction model of poor prognosis, so as to provide reference for prognosis evaluation.

METHODS: From January 2010 to January 2019 at Cangzhou Central Hospital, clinical and imaging data of 87 cases of thoracic ossification of the ligamentum flavum treated by thoracic laminectomy were reviewed retrospectively. According to the JOA recovery rate at 6-month follow-up, the patients were divided into good recovery group (≥ 50%) and poor recovery group (< 50%). Age, sex, duration of disease, JOA score, Sato type of ossification, maximum spinal cord compression, cross-sectional area, distribution of hyperintense signal, signal intensity ratio, intramedullary signal size, local kyphosis, kyphosis correction, number of decompressed levels and incidence of cerebrospinal fluid were compared between two groups. Univariate analysis was used to analyze indicators with significant differences. Receiver operating characteristic curve was plotted to analyze prognosis. Areas under the curve and cut-off values were recorded. The independent predictors of poor recovery were estimated through multivariate logistic regression analysis and the prediction model was established.

RESULTS AND CONCLUSION: (1) The duration of disease, JOA score, maximum spinal cord compression, cross-sectional area, signal intensity ratio and intramedullary signal size showed significant difference between good recovery and poor recovery groups (P < 0.05). (2) Receiver operating characteristic curve analysis showed that the area under the curve of the duration of disease, JOA score, maximum spinal cord compression, cross-sectional area, signal intensity ratio and intramedullary signal size was 0.670, 0.733, 0.647, 0.715, 0.753 and 0.765 respectively. The cut-off value was duration of 13 months, score 4, 29.8%, 0.25 cm2, 1.593 and 13.64 mm respectively. The duration of disease and maximum spinal cord compression had low discrimination power (the area under the curve < 0.7) in predicting poor recovery, whereas the JOA score, cross-sectional area, signal intensity ratio and intramedullary signal size had moderate discrimination power (the area under the curve 0.7-0.9). The area under the curve indicates good ability of signal intensity ratio and intramedullary signal size in combination (the area under the curve=0.791). (3) Logistic multivariate regression analysis showed that JOA score, cross-sectional area and combination of signal intensity ratio and intramedullary signal size were independent risk factors of poor recovery. A predicting model was built according to the result of the logistic regression analysis. It was shown that the area under the curve of this model was 0.890, which was significantly higher than that of the JOA score, cross-sectional area and combination of signal intensity ratio and intramedullary signal size (P < 0.05). (4) Combination of signal intensity ratio and intramedullary signal size had higher predictive ability than other MRI parameters. JOA score, together with quantitative MRI T2WI parameters may have a better predictive value for the risk of poor recovery in patients with thoracic ossification of the ligamentum flavum.

Key words: magnetic resonance imaging, spinal diseases, thoracic vertebrae, ligamentum flavum, spinal stenosis, posterior decompression operation, imaging parameters, increased signal intensity, influencing factors, prognosis, tissue engineering

中图分类号: