Suppr超能文献

[扩散加权磁共振成像联合短TI反转恢复快速回波平面成像在颈部淋巴结鉴别诊断中的临床意义]

[Clinical significance of diffusion-weighted MRI with STIR-EPI in differential diagnosis of cervical lymph nodes].

作者信息

Zhang Yun, Liang Bi-ling, Gao Li, Zhong Jing-lian, Ye Rui-xin, Shen Jun

机构信息

Department of Diagnostic Radiology, Second Hospital, Sun Yat-sen University, Guangzhou 510120, China.

出版信息

Zhonghua Zhong Liu Za Zhi. 2007 Jan;29(1):70-3.

Abstract

OBJECTIVE

To evaluate the feasibility and efficacy of a new MRI imaging method--diffusion weighted imaging (DWI) with short TI version recovery-echo planar imaging (STIR-EPI) sequence in differentiating benign cervical lymph nodes from malignant ones. METHODS Twenty nasopharyngeal carcinoma patients and fourteen volunteers received both conventional MRI and DWI with STIR-EPI. Ability of detecting lymph nodes between conventional MRI and STIR-EPI-DWI was compared, and the difference of apparent diffusion coefficient (ADC) value between metastatic lymph node and normal lymph node was analyzed.

RESULTS

DWI was more sensitive in detecting lymph node than conventional MRI. ADC value of metastatic lymph node (0. 766 +/- 0. 119) x 10 (-3) mm(2)/s was significantly lower than that of normal lymph node (0. 975 +/- 0. 179) x 10 - mm2/s (P < 0. 01).

CONCLUSION

As a new MRI imaging technique in detecting cervical lymph nodes, diffusion weighted imaging ( DWI) with short TI version recovery-echo planar imaging ( STIR-EPI) sequence is more reliable and sensitive than conventional MRI imaging, providing an alternative way to differentiate benign lymph nodes from malignant ones.

摘要

目的

评估一种新的磁共振成像(MRI)方法——采用短TI反转恢复回波平面成像(STIR-EPI)序列的扩散加权成像(DWI)在鉴别颈部良性淋巴结与恶性淋巴结中的可行性和有效性。方法:20例鼻咽癌患者和14名志愿者接受了常规MRI检查以及采用STIR-EPI序列的DWI检查。比较常规MRI与STIR-EPI-DWI检测淋巴结的能力,并分析转移淋巴结与正常淋巴结之间表观扩散系数(ADC)值的差异。

结果

DWI在检测淋巴结方面比常规MRI更敏感。转移淋巴结的ADC值(0.766±0.119)×10⁻³mm²/s显著低于正常淋巴结的(0.975±0.179)×10⁻³mm²/s(P<0.01)。

结论

作为一种检测颈部淋巴结的新MRI成像技术,采用短TI反转恢复回波平面成像(STIR-EPI)序列的扩散加权成像(DWI)比常规MRI成像更可靠、更敏感,为鉴别良性淋巴结与恶性淋巴结提供了一种替代方法。

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