| 李晓丹,郭柳姬,许乙凯,马立超,肖翔,安胜利,吴元魁.磁共振特征诊断中枢神经细胞瘤[J].中国医学影像技术,2018,34(2):200~204 |
| 磁共振特征诊断中枢神经细胞瘤 |
| MRI characteristic features for diagnosing central neurocytoma |
| 投稿时间：2017-07-02 修订日期：2017-11-09 |
| DOI：10.13929/j.1003-3289.201707003 |
| 中文关键词: 中枢神经细胞瘤 磁共振成像 诊断价值 受试者工作特征曲线 |
| 英文关键词:Central neurocytoma Magnetic resonance imaging Diagnostic value Receiver operator characteristic curve |
| 基金项目:广东省自然科学基金（S201301005689）、广州市科技计划项目（201707010003）、南方医科大学南方医院院长基金（2016B026）。 |
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| 中文摘要: |
| 目的 探讨6种特征性MRI征象对中枢神经细胞瘤的诊断价值。方法 回顾性分析30例中枢神经细胞瘤及68例其他侧脑室肿瘤患者术前MRI，以5分法对6种MRI征象，包括扇贝征、宽基底征、皂泡征、周围泡泡征、液-液平面征及宝石征进行评分。绘制ROC曲线，评估各征象的诊断价值。结果 扇贝征曲线下面积（AUC）最大（0.82），大于其他5个征象（P均<0.05）；宽基底征、皂泡征及周围泡泡征次之（AUC为0.73~0.75），大于液-液平面征及宝石征（P均<0.05）。扇贝征特异度最高（84.56%），其次为液-液平面征（77.94%）、宝石征（74.26%）及周围泡泡征（70.34%）。皂泡征敏感度最高（83.89%），其次为宽基底征（76.11%）和周围泡泡征（75.00%）。结论 6种特征性MRI征象中，扇贝征对诊断中枢神经细胞瘤价值最高。 |
| 英文摘要: |
| Objective To investigate the diagnostic value of six MRI characteristic features for diagnosing central neurocytoma (CN). Methods MRI data of 30 cases of CN and 68 cases of non-CN located in lateral ventricles were retrospectively analyzed. Six characteristic MRI features, including scalloping sign, broad-based attachment sign, soap-bubble sign, peripheral cyst sign, fluid-fluid level sign and gemstone sign were scored based on a five-point scale. ROC curve was used to assess the diagnostic value of each MRI sign. Results The scalloping sign showed the highest area under the curve (AUC) value (0.82) among all 6 signs (all P < 0.05), followed by broad-based attachment, soap-bubble and peripheral cyst signs (AUC 0.73-0.75), higher than that of fluid-fluid level sign and gemstone sign (all P < 0.05). The scalloping sign exhibited the highest specificity (84.56%), followed by fluid-fluid level (77.94%), gemstone (74.26%) and peripheral cyst (70.34%) sign. The soap-bubble sign (83.89%) was the most sensitive sign, followed by broad-based attachment sign (76.11%) and peripheral cyst sign (75.00%). Conclusion The scalloping sign is the most valuable indicator for CN among six characteristic MRI features. |
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