Use of multiparametric MRI to characterize uterine fibroid tissue types.,Magnetic Resonance Materials in Physics Biology and Medicine

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Use of multiparametric MRI to characterize uterine fibroid tissue types.
Magnetic Resonance Materials in Physics Biology and Medicine ( IF 2.3 ) Pub Date : 2020-03-26 , DOI: 10.1007/s10334-020-00841-9
Inez M Verpalen ₁ , Kimberley J Anneveldt _{1,

2} , Pieter C Vos ₃ , Mireille A Edens ₄ , Edwin Heijman _{3,

5} , Ingrid M Nijholt ₁ , Jeroen R Dijkstra ₂ , Joke M Schutte ₂ , Arie Franx ₆ , Lambertus W Bartels ₇ , Chrit T W Moonen ₇ , Martijn F Boomsma ₁

Affiliation

Background

Although the biological characteristics of uterine fibroids (UF) have implications for therapy choice and effectiveness, there is limited MRI data about these characteristics. Currently, the Funaki classification and Scaled Signal Intensity (SSI) are used to predict treatment outcome but both screening-tools appear to be suboptimal. Therefore, multiparametric and quantitative MRI was studied to evaluate various biological characteristics of UF.

Methods

87 patients with UF underwent an MRI-examination. Differences between UF tissues and myometrium were investigated using T2-mapping, Apparent Diffusion Coefficient (ADC) maps with different b-value combinations, contrast-enhanced T1-weighted and T2-weighted imaging. Additionally, the Funaki classification and SSI were calculated.

Results

Significant differences between myometrium and UF tissue in T2-mapping (p = 0.001), long-TE ADC low b-values (p = 0.002), ADC all b-values (p < 0.001) and high b-values (p < 0.001) were found. Significant differences between Funaki type 3 versus type 1 and 2 were observed in SSI (p < 0.001) and T2-values (p < 0.001). Significant correlations were found between SSI and T2-mapping (p < 0.001; ρ_s = 0.82), ADC all b-values (p = 0.004; ρ_s = 0.31), ADC high b-values (p < 0.001; ρ_s = 0.44) and long-TE ADC low b-values (p = 0.004; ρ_s = 0.31).

Conclusions

Quantitative MR-data allowed us to distinguish UF tissue from myometrium and to discriminate different UF tissue types and may, therefore, be a useful tool to predict treatment outcome/determine optimal treatment modality.

中文翻译：

使用多参数 MRI 来表征子宫肌瘤组织类型。

背景

尽管子宫肌瘤 (UF) 的生物学特征对治疗选择和有效性有影响，但关于这些特征的 MRI 数据有限。目前，Funaki 分类和缩放信号强度 (SSI) 用于预测治疗结果，但两种筛选工具似乎都不是最理想的。因此，研究了多参数和定量 MRI 以评估 UF 的各种生物学特性。

方法

87 名 UF 患者接受了 MRI 检查。使用 T2 映射、具有不同b值组合的表观扩散系数 (ADC) 映射、对比增强的 T1 加权和 T2 加权成像研究 UF 组织和子宫肌层之间的差异。此外，还计算了 Funaki 分类和 SSI。

结果

在T2-映射子宫肌层和UF组织之间显著差异（p = 0.001），长TE ADC低b -值（p = 0.002），ADC所有b -值（p <0.001）和高b -值（p <0.001 ）被找到。在 SSI ( p < 0.001) 和 T2 值 ( p < 0.001)中观察到 Funaki 3 型与 1 型和 2 型之间的显着差异。在 SSI 和 T2 映射（p < 0.001；ρ _s = 0.82）、ADC 所有b 值（p = 0.004；ρ _s = 0.31）、ADC 高之间发现显着相关性b 值（p < 0.001；ρ _s = 0.44）和长 TE ADC 低b 值（p = 0.004；ρ _s = 0.31）。