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.
J Magn Reson Imaging. 2024 Sep;60(3):964-976. doi: 10.1002/jmri.29183. Epub 2023 Dec 19.
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.
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).
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.
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.
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.
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).
MOLED T2 maps can effectively differentiate between meningothelial, fibrous, and transitional meningiomas. Moreover, T2 histogram parameters were significantly correlated with the Ki-67 index.
1 TECHNICAL EFFICACY: Stage 2.
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。
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。
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。
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。
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。
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）。
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。
1 技术功效：第 2 阶段。
