Apparent diffusion coefficient predicts the pathological grade of meningioma and its correlation with the Ki-67 proliferation index

FANG Lei; FANG Hui; GENG Yuanyuan; YIN Run; LIU Xinjiang

doi:10.19732/j.cnki.2096-6210.2024.02.006

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Apparent diffusion coefficient predicts the pathological grade of meningioma and its correlation with the Ki-67 proliferation index

更新时间：2025-12-15

- Apparent diffusion coefficient predicts the pathological grade of meningioma and its correlation with the Ki-67 proliferation index
- Vol. 33, Issue 2, Pages: 136-142(2024)
- 作者机构：
  
  1. 滨州医学院医学影像学院,山东,烟台,264003
  2. 复旦大学附属浦东医院放射科,上海,201399
  3. 复旦大学附属浦东医院病理科,上海,201399
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2024.02.006
  CLC：
- Published Online：10 May 2024，
  
  Published：10 May 2024
- 稿件说明：
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方磊,方慧,耿源源,等. 表观弥散系数预测脑膜瘤病理学分级及其与Ki-67增殖指数的相关性[J]. 肿瘤影像学, 2024, 33(2): 136-142 https://doi.

org/10.19732/j.cnki.2096-6210.2024.02.006
方磊,方慧,耿源源,等. 表观弥散系数预测脑膜瘤病理学分级及其与Ki-67增殖指数的相关性[J]. 肿瘤影像学, 2024, 33(2): 136-142 https://doi. DOI： 10.19732/j.cnki.2096-6210.2024.02.006.

org/10.19732/j.cnki.2096-6210.2024.02.006 DOI：

摘要

目的：

探讨表观弥散系数（apparent diffusion coefficient，ADC）鉴别诊断脑膜瘤组织病理学分级的价值及其与Ki-67增殖指数的关系。

方法：

回顾并分析经术后病理学检查证实为脑膜瘤的51例患者资料，根据世界卫生组织（World Health Organization，WHO）病理学分级分为低级别脑膜瘤（low-grade meningioma，LGM）组45例和高级别脑膜瘤（high-grade meningioma，HGM）组6例，计算平均ADC（ADC

mean

）、最小ADC（ADC

min

），以及两者相对值（rADC

mean

、rADC

min

）。比较两组ADC

mean

、ADC

min

、rADC

mean

、rADC

min

的差异。绘制受试者工作特征（receiver operating characteristic，ROC）曲线评估ADC各参数的鉴别诊断效能，并采用DeLong检验比较ROC曲线的曲线下面积（area under the curve，AUC）的差异。采用Spearman相关分析评估ADC各参数与Ki-67增殖指数之间的相关性。

结果：

LGM组的ADC

mean

、ADC

min

、rADC

mean

及rADC

min

均高于HGM组，组间差异有统计学意义（

＜0.05）。4种ADC参数均有较好的诊断效能，DeLong检验显示AUC两两比较差异均无统计学意义（

＞0.05），其中ADC

min

的鉴别诊断效能最高，其最佳截断值为 0.657×10

-3

/s，灵敏度为66.67%，特异度为95.56%。ADC

mean

、ADC

min

、rADC

mean

及rADC

min

均与Ki-67增殖指数呈负相关（

＜0.05）。

结论：

ADC有助于术前预测脑膜瘤的病理学分级及Ki-67增殖指数，可为临床诊疗提供支持。

Abstract

Objective:

To investigate the value of apparent diffusion coefficient (ADC) for differential diagnosis of histopathologic grade of meningiomas and its relationship with Ki-67 proliferation index.

Methods:

The data of 51 patients with meningioma confirmed by surgery and pathology were reviewed and analyzed. According to the World Health Organization (WHO) pathological grade

patients were divided into low-grade meningioma (LGM) group (45 cases) and high-grade meningioma (HGM) group (6 cases). The average ADC (ADC

mean

)

minimum ADC (ADC

min

)，and their relative values (rADC

mean

and rADC

min

) were calculated. The differences of ADC

mean

ADC

min

rADC

mean

and rADC

min

between the two groups were compared. The receiver operating characteristic (ROC) curve was used to assess the diagnostic efficacy of each ADC parameter’s diagnostic efficacy

and DeLong’s test was used to compare the difference in area under curve (AUC) of the ROC curve. Spearman correlation analysis was performed to assess the correlation between each of the ADC parameters and Ki-67 proliferation index.

Results:

The ADC

mean

ADC

min

rADC

mean

and rADC

min

values of the LGM group were higher than those of the HGM group

and the differences between the groups were all statistically significant (

＜0.05). The four ADC parameters all had good diagnostic efficacy

DeLong test showed that there was no significant difference in AUC between any two groups (

＞0.05). And ADC

min

had the best differential diagnostic efficacy. The optimal cut-off value of ADC

min

was 0.657×10

-3

and the sensitivity was 66.67%

and the specificity was 95.56%. ADC

mean

ADC

min

rADC

mean

and rADC

min

values were

all negatively correlated with Ki-67 proliferation index (

＜0.05).

Conclusion:

ADC values were helpful to predict the pathological grade of meningiomas and Ki-67 proliferation index before operation

and it can provide support for clinical diagnosis and treatment.

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