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头颈部肿瘤的定量和形态学评估的合成 MRI:一项初步研究。

Synthetic MRI for the quantitative and morphologic assessment of head and neck tumors: a preliminary study.

机构信息

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

MR Research China, GE Healthcare, Beijing, China.

出版信息

Dentomaxillofac Radiol. 2023 Sep;52(6):20230103. doi: 10.1259/dmfr.20230103. Epub 2023 Jul 3.

Abstract

OBJECTIVES

To evaluate the feasibility of synthetic MRI for quantitative and morphologic assessment of head and neck tumors and compare the results with the conventional MRI approach.

METHODS AND MATERIALS

A total of 92 patients with different head and neck tumor histology who underwent conventional and synthetic MRI were retrospectively recruited. The quantitative T1, T2, proton density (PD), and apparent diffusion coefficient (ADC) values of 38 benign and 54 malignant tumors were measured and compared. Diagnostic efficacy for differentiating malignant and benign tumors was evaluated with receiver operating characteristic (ROC) analysis and integrated discrimination index. The image quality of conventional and synthetic W/W images on a 5-level Likert scale was also compared with Wilcoxon signed rank test.

RESULTS

T1, T2 and ADC values of malignant head and neck tumors were smaller than those of benign tumors (all < 0.05). T2 and ADC values showed better diagnostic efficacy than T1 for distinguishing malignant tumors from benign tumors (both < 0.05). Adding the T2 value to ADC increased the area under the curve from 0.839 to 0.886, with an integrated discrimination index of 4.28% ( < 0.05). In terms of overall image quality, synthetic W images were comparable to conventional W images, while synthetic W images were inferior to conventional W images.

CONCLUSIONS

Synthetic MRI can facilitate the characterization of head and neck tumors by providing quantitative relaxation parameters and synthetic W images. T2 values added to ADC values may further improve the differentiation of tumors.

摘要

目的

评估合成 MRI 对头颈部肿瘤进行定量和形态评估的可行性,并将结果与常规 MRI 方法进行比较。

方法和材料

回顾性招募了 92 名接受常规和合成 MRI 检查的不同头颈部肿瘤组织学患者。测量并比较了 38 个良性肿瘤和 54 个恶性肿瘤的 T1、T2、质子密度(PD)和表观扩散系数(ADC)的定量值。使用接收者操作特征(ROC)分析和综合鉴别指数评估对良恶性肿瘤进行鉴别诊断的效能。使用 Wilcoxon 符号秩检验比较常规和合成 W/W 图像的图像质量。

结果

恶性头颈部肿瘤的 T1、T2 和 ADC 值均小于良性肿瘤(均<0.05)。T2 和 ADC 值在区分良恶性肿瘤方面的诊断效能优于 T1(均<0.05)。将 T2 值添加到 ADC 值中,曲线下面积从 0.839 增加到 0.886,综合鉴别指数增加了 4.28%(<0.05)。就整体图像质量而言,合成 W 图像与常规 W 图像相当,而合成 W 图像劣于常规 W 图像。

结论

合成 MRI 可以通过提供定量弛豫参数和合成 W 图像来促进对头颈部肿瘤的特征描述。将 T2 值添加到 ADC 值中可能会进一步提高肿瘤的鉴别能力。

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