Suppr超能文献

肌肉骨骼软组织肿块的磁共振成像:异质性是恶性肿瘤的迹象吗?

MR imaging of the musculoskeletal soft tissue mass: is heterogeneity a sign of malignancy?

作者信息

Pang Kwok Kuen, Hughes Tudor

机构信息

Department of Radiology, Mackay Memorial Hospital, Taitung Branch, Taiwan.

出版信息

J Chin Med Assoc. 2003 Nov;66(11):655-61.

Abstract

BACKGROUND

Magnetic resonance (MR) is considered the imaging modality of choice to evaluate soft tissue lesions. Whether MR imaging can be used to differentiate benign from malignant soft tissue lesions is still controversial. To elucidate this controversy, MR images of 37 patients with soft tissue masses of the musculoskeletal system were reviewed at Christchurch Hospital, New Zealand.

METHODS

There were 19 benign and 18 malignant lesions. MR images were evaluated with regard to lesion size, border definition, homogeneity, changes in pattern of homogeneity, signal characteristic (signal intensity on T1-weighted, T2-weighted), and demonstration of relation to neurovascular bundle and bone as well as edema in or around the lesion.

RESULTS

Statistically significant imaging features favoring a diagnosis of malignancy included inhomogeneity at T2-weighted images (p = 0.002) and a change in pattern from homogeneity on T1-weighted images to inhomogeneity at T2-weighted images (p = 0.003). Malignant tumors also had neurovascular or bone involvement in 28% of cases, which was not seen in their benign counterparts. Size, border definition, and edema of surrounding tissues were generally not helpful in distinguishing benign from malignant soft tissue masses.

CONCLUSIONS

The inhomogeneity of lesions on T2, the change from homogeneity on T1 to inhomogeneity on T2 sequence, and involvement of bone or neurovascular structures are features that may be helpful in differentiating benign from malignant soft tissue masses.

摘要

背景

磁共振成像(MR)被认为是评估软组织病变的首选成像方式。MR成像能否用于区分良性和恶性软组织病变仍存在争议。为阐明这一争议,对新西兰克赖斯特彻奇医院37例肌肉骨骼系统软组织肿块患者的MR图像进行了回顾性分析。

方法

其中有19例良性病变和18例恶性病变。对MR图像评估了病变大小、边界清晰度、均匀性、均匀性模式变化、信号特征(T1加权、T2加权上的信号强度)以及病变与神经血管束和骨骼的关系显示情况,还有病变内或周围的水肿情况。

结果

统计学上支持恶性诊断的显著成像特征包括T2加权图像上的不均匀性(p = 0.002)以及从T1加权图像上的均匀模式变为T2加权图像上的不均匀模式(p = 0.003)。恶性肿瘤在28%的病例中还伴有神经血管或骨骼受累,而良性病变中未见此情况。病变大小、边界清晰度以及周围组织水肿情况通常无助于区分良性和恶性软组织肿块。

结论

T2加权图像上病变的不均匀性、从T1加权图像上的均匀性到T2序列上的不均匀性的变化以及骨骼或神经血管结构受累是有助于区分良性和恶性软组织肿块的特征。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验