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采用单次激发快速 MR T2 成像对 WHO 分级 1 级脑膜瘤进行术前亚型分类。

Preoperative Subtyping of WHO Grade 1 Meningiomas Using a Single-Shot Ultrafast MR T2 Mapping.

机构信息

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

出版信息

J Magn Reson Imaging. 2024 Sep;60(3):964-976. doi: 10.1002/jmri.29183. Epub 2023 Dec 19.

Abstract

BACKGROUND

Meningioma subtype is crucial in treatment planning and prognosis delineation, for grade 1 meningiomas. T2 relaxometry could provide detailed microscopic information but is often limited by long scanning times.

PURPOSE

To investigate the potential of T2 maps derived from multiple overlapping-echo detachment imaging (MOLED) for predicting meningioma subtypes and Ki-67 index, and to compare the diagnostic efficiency of two different region-of-interest (ROI) placements (whole-tumor and contrast-enhanced, respectively).

STUDY TYPE

Prospective.

PHANTOM/SUBJECTS: A phantom containing 11 tubes of MnCl at different concentrations, eight healthy volunteers, and 75 patients with grade 1 meningioma.

FIELD STRENGTH/SEQUENCE: 3 T scanner. MOLED, T2-weighted spin-echo sequence, T2-dark-fluid sequence, and postcontrast T1-weighted gradient echo sequence.

ASSESSMENT

Two ROIs were delineated: the whole-tumor area (ROI1) and contrast-enhanced area (ROI2). Histogram parameters were extracted from T2 maps. Meningioma subtypes and Ki-67 index were reviewed by a neuropathologist according to the 2021 classification criteria.

STATISTICAL TESTS

Linear regression, Bland-Altman analysis, Pearson's correlation analysis, independent t test, Mann-Whitney U test, Kruskal-Wallis test with Bonferroni correction, and multivariate logistic regression analysis with the P-value significance level of 0.05.

RESULTS

The MOLED T2 sequence demonstrated excellent accuracy for phantoms and volunteers (Mean = -1.29%, SD = 1.25% and Mean = 0.36%, SD = 2.70%, respectively), and good repeatability for volunteers (average coefficient of variance = 1.13%; intraclass correlation coefficient = 0.877). For both ROI1 and ROI2, T2 variance had the highest area under the curves (area under the ROC curve = 0.768 and 0.761, respectively) for meningioma subtyping. There was no significant difference between the two ROIs (P = 0.875). Significant correlations were observed between T2 parameters and Ki-67 index (r = 0.237-0.374).

DATA CONCLUSION

MOLED T2 maps can effectively differentiate between meningothelial, fibrous, and transitional meningiomas. Moreover, T2 histogram parameters were significantly correlated with the Ki-67 index.

LEVEL OF EVIDENCE

1 TECHNICAL EFFICACY: Stage 2.

摘要

背景

对于 1 级脑膜瘤,脑膜瘤亚型在治疗计划和预后描绘中至关重要。T2 弛豫度可以提供详细的微观信息,但通常受到长时间扫描的限制。

目的

研究从多重重叠回波分离成像(MOLED)得出的 T2 图预测脑膜瘤亚型和 Ki-67 指数的潜力,并比较两种不同 ROI(整体肿瘤和增强对比)放置的诊断效率。

研究类型

前瞻性。

体模/受试者:一个包含 11 个不同浓度 MnCl 管的体模,8 名健康志愿者和 75 名 1 级脑膜瘤患者。

磁场强度/序列:3T 扫描仪。MOLED、T2 加权自旋回波序列、T2 黑暗流体序列和对比后 T1 加权梯度回波序列。

评估

描绘了两个 ROI:整个肿瘤区域(ROI1)和增强对比区域(ROI2)。从 T2 图中提取直方图参数。根据 2021 年分类标准,由神经病理学家审查脑膜瘤亚型和 Ki-67 指数。

统计学检验

线性回归、Bland-Altman 分析、Pearson 相关分析、独立 t 检验、Mann-Whitney U 检验、Kruskal-Wallis 检验与 Bonferroni 校正、多元逻辑回归分析,P 值显著性水平为 0.05。

结果

MOLED T2 序列对体模和志愿者具有出色的准确性(Mean=-1.29%,SD=1.25%和 Mean=0.36%,SD=2.70%),对志愿者具有良好的可重复性(平均变异系数=1.13%;组内相关系数=0.877)。对于 ROI1 和 ROI2,T2 方差的曲线下面积最高(ROC 曲线下面积分别为 0.768 和 0.761),用于脑膜瘤亚型分类。两个 ROI 之间没有显著差异(P=0.875)。T2 参数与 Ki-67 指数之间存在显著相关性(r=0.237-0.374)。

数据结论

MOLED T2 图可有效区分脑膜内皮细胞型、纤维型和过渡型脑膜瘤。此外,T2 直方图参数与 Ki-67 指数显著相关。

证据水平

1 技术功效:第 2 阶段。

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