[软组织肉瘤肿瘤边缘浸润:3T MRI结构分析预测]。

Taehan Yongsang Uihakhoe chi Pub Date : 2022-01-01 Epub Date: 2021-09-16 DOI:10.3348/jksr.2021.0037
Minji Kim, Won-Hee Jee, Youngjun Lee, Ji Hyun Hong, Chan Kwon Jung, Yang-Guk Chung, So-Yeon Lee
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引用次数: 0

摘要

目的:探讨3特斯拉(T) MRI织构分析对软组织肉瘤瘤缘浸润的预测价值。材料与方法:本研究纳入31例经3T MRI病理证实为软组织肉瘤的患者。病理上以边缘浸润为金标准。对软组织肉瘤的轴向t1加权像(WI)、T2WI、脂肪抑制对比增强像(CE) T1WI、b值为800 s/mm2的弥散加权像(DWI)进行纹理分析,绘制表观弥散系数(ADC)。比较浸润性和边界性肉瘤的定量参数。结果:31例软组织肉瘤中,23例病理表现为肿瘤边缘浸润。浸润性和边界性肉瘤在T1WI上的峰度(SSF)为0、6、CE-T1WI上的峰度(SSF, 0)、DWI上的偏度(SSF, 0)、ADC上的偏度(SSF, 2、4)差异均有统计学意义(p≤0.046)。基于MR纹理特征识别浸润性肿瘤边缘的受者工作特征曲线下面积为0.951 (p < 0.001)。结论:MR结构分析对软组织肉瘤浸润边缘的预测可靠、准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

[Tumor Margin Infiltration in Soft Tissue Sarcomas: Prediction Using 3T MRI Texture Analysis].

[Tumor Margin Infiltration in Soft Tissue Sarcomas: Prediction Using 3T MRI Texture Analysis].

[Tumor Margin Infiltration in Soft Tissue Sarcomas: Prediction Using 3T MRI Texture Analysis].

[Tumor Margin Infiltration in Soft Tissue Sarcomas: Prediction Using 3T MRI Texture Analysis].

Purpose: To determine the value of 3 Tesla (T) MRI texture analysis for predicting tumor margin infiltration in soft tissue sarcomas.

Materials and methods: Thirty-one patients who underwent 3T MRI and had a pathologically confirmed diagnosis of soft tissue sarcoma were included in this study. Margin infiltration on pathology was used as the gold standard. Texture analysis of soft tissue sarcomas was performed on axial T1-weighted images (WI) and T2WI, fat-suppressed contrast-enhanced (CE) T1WI, diffusion-weighted images (DWI) with b-value of 800 s/mm2, and apparent diffusion coefficient (ADC) was mapped. Quantitative parameters were compared between sarcomas with infiltrative margins and those with circumscribed margins.

Results: Among the 31 patients with soft tissue sarcomas, 23 showed tumor margin infiltration on pathology. There were significant differences in kurtosis with the spatial scaling factor (SSF) of 0 and 6 on T1WI, kurtosis (SSF, 0) on CE-T1WI, skewness (SSF, 0) on DWI, and skewness (SSF, 2, 4) on ADC between sarcomas with infiltrative margins and those with circumscribed margins (p ≤ 0.046). The area under the receiver operating characteristic curve based on MR texture features for identification of infiltrative tumor margins was 0.951 (p < 0.001).

Conclusion: MR texture analysis is reliable and accurate for the prediction of infiltrative margins of soft tissue sarcomas.

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