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超声、剪切波弹性成像及 MRI 对软组织肿瘤的特征描述。

Characterization of soft tissue tumours with ultrasound, shear wave elastography and MRI.

机构信息

The Robert Jones and Agnes Hunt Orthopaedic Hospital NHS Foundation Trust, Oswestry, SY10 7AG, UK.

Keele University, Keele, Staffordshire, ST5 5BG, UK.

出版信息

Skeletal Radiol. 2020 Jun;49(6):869-881. doi: 10.1007/s00256-019-03363-1. Epub 2020 Jan 2.

Abstract

OBJECTIVE

To predict accurately whether a soft tissue mass was benign or malignant and to characterize its type using ultrasound, shear wave elastography and MRI. We hypothesized that with the addition of shear wave elastography, it would be possible to determine a threshold velocity value to classify a lesion as benign or malignant.

MATERIALS AND METHODS

A total of 151 consecutive, consenting adult patients were prospectively recruited to this study in a tertiary referral musculoskeletal oncology centre. All lesions were assessed with ultrasound, including B mode, Doppler and shear wave elastography measurements. One hundred thirty-eight patients also underwent MRI of the lesion. A histological diagnosis was obtained for all lesions.

RESULTS

Malignant lesions were larger than benign lesions and had a greater Doppler activity. There was no useful threshold shear wave velocity to differentiate between benign and malignant lesions. Longitudinal and transverse shear wave velocities were strongly positively correlated with each other. An inverse correlation was shown with lesion size and depth, regardless of whether it was benign or malignant. A logistic regression model combining the ultrasound and MRI characteristics did not confidently classify a lesion as benign or malignant and was inferior to expert opinion.

CONCLUSION

The strongest predictors of malignancy are large lesion size and high vascularity. The combination of all ultrasound characteristics (including shear wave elastography) and MRI features does not confidently classify a lesion as benign or malignant, and histological diagnosis remains the gold standard.

摘要

目的

利用超声、剪切波弹性成像和 MRI 准确预测软组织肿块的良恶性,并对其类型进行特征描述。我们假设,通过添加剪切波弹性成像,可以确定一个阈值速度值,以便将病变分类为良性或恶性。

材料和方法

本研究前瞻性地纳入了 151 例连续同意参与的成年患者,这些患者均来自一家三级转诊肌肉骨骼肿瘤中心。所有病变均通过超声(包括 B 模式、多普勒和剪切波弹性成像测量)进行评估。138 例患者还接受了病变的 MRI 检查。所有病变均获得了组织学诊断。

结果

恶性病变比良性病变大,且多普勒活动度更高。没有有用的剪切波速度阈值可以区分良性和恶性病变。纵向和横向剪切波速度彼此之间具有强烈的正相关性。无论病变是良性还是恶性,与病变大小和深度均呈负相关。结合超声和 MRI 特征的逻辑回归模型并不能自信地将病变分类为良性或恶性,且其效果不如专家意见。

结论

恶性病变的最强预测因素是大的病变大小和高血管性。所有超声特征(包括剪切波弹性成像)和 MRI 特征的组合并不能自信地将病变分类为良性或恶性,组织学诊断仍然是金标准。

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