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弥散张量成像在子宫肉瘤与退行性子宫肌瘤鉴别诊断中的应用。

Diffusion-tensor imaging for differentiating uterine sarcoma from degenerative uterine fibroids.

机构信息

The First Affiliated Hospital of Dalian Medical University, Department of Radiology, Dalian, China.

The First Affiliated Hospital of Xiamen University, Department of Radiology, Xiamen, China.

出版信息

Clin Radiol. 2021 Apr;76(4):313.e27-313.e32. doi: 10.1016/j.crad.2020.11.115. Epub 2020 Dec 24.

DOI:10.1016/j.crad.2020.11.115
PMID:33358441
Abstract

AIM

To explore the applicability of diffusion-tensor imaging (DTI) sequence quantitative parameters in differentiating uterine sarcoma (USr) from degenerative uterine fibroids (DUF).

MATERIALS AND METHODS

Fourteen cases of USr and 30 cases of DUF were analysed retrospectively. The diffusion-weighted imaging (DWI) and DTI images were analysed by two observers using Functool software on a ADW4.6 workstation. The images were post-processed to generate an apparent diffusion coefficient (ADC) map of DWI, ADC map of DTI (ADC map), and fractional anisotropy (FA) map. Three regions of interest (ROI) were selected from the ADC, ADC, and FA maps to obtain the ADC, ADC, and FA values. The receiver operating characteristic (ROC) curves of all parameters were used to analyse and compare the diagnostic value of USr and DUF.

RESULTS

The ADC value, ADC value, and FA value of USr (1.190 ± 0.262 × 10mm/s, 1.165 ± 0.270 × 10mm/s, 0.168 ± 0.063) were significantly lower compared to the values for DUF (1.525 ± 0.314 × 10mm/s, 1.650 ± 0.332 × 10mm/s, 0.254 ± 0.111; all p<0.001). The diagnostic threshold values for USr were: ADC ≤1.290 × 10mm/s, ADC ≤1.322 × 10mm/s and FA ≤0.192. The corresponding sensitivities and specificities were 78.6%/90%, 96.7%/92.9%, and 86.7%/85.7%, respectively. The areas under the curve (AUC) were 0.875, 0.974, and 0.831, respectively.

CONCLUSIONS

DTI quantitative parameters can be used to differentiate USr from DUF. The ADC value had the highest diagnostic efficacy.

摘要

目的

探讨弥散张量成像(DTI)序列定量参数在鉴别子宫肉瘤(USr)与退行性子宫肌瘤(DUF)中的应用。

材料与方法

回顾性分析 14 例 USr 和 30 例 DUF。两位观察者使用 ADW4.6 工作站上的 Functool 软件对弥散加权成像(DWI)和 DTI 图像进行分析。对图像进行后处理,生成 DWI 的表观弥散系数(ADC)图、DTI 的 ADC 图(ADC 图)和各向异性分数(FA)图。从 ADC、ADC 和 FA 图中选择三个感兴趣区(ROI),以获得 ADC、ADC 和 FA 值。使用受试者工作特征(ROC)曲线分析比较 USr 和 DUF 的诊断价值。

结果

USr 的 ADC 值、ADC 值和 FA 值(1.190±0.262×10mm/s、1.165±0.270×10mm/s、0.168±0.063)明显低于 DUF 的 ADC 值、ADC 值和 FA 值(1.525±0.314×10mm/s、1.650±0.332×10mm/s、0.254±0.111;均 p<0.001)。USr 的诊断阈值为:ADC≤1.290×10mm/s、ADC≤1.322×10mm/s 和 FA≤0.192。相应的灵敏度和特异性分别为 78.6%/90%、96.7%/92.9%和 86.7%/85.7%。曲线下面积(AUC)分别为 0.875、0.974 和 0.831。

结论

DTI 定量参数可用于鉴别 USr 与 DUF。ADC 值的诊断效能最高。

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