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小肝脏肿块性病变血管模式的评估:不同多普勒超声模式的价值与局限性

Assessment of vascular patterns of small liver mass lesions: value and limitation of the different Doppler ultrasound modalities.

作者信息

Gaiani S, Casali A, Serra C, Piscaglia F, Gramantieri L, Volpe L, Siringo S, Bolondi L

机构信息

Dipartimento di Medicina Interna e Gastroenterologia, Università di Bologna, Italy.

出版信息

Am J Gastroenterol. 2000 Dec;95(12):3537-46. doi: 10.1111/j.1572-0241.2000.03372.x.

Abstract

OBJECTIVES

This study aimed to investigate the value and limitation of the different Doppler ultrasound modalities (spectral analysis, color, and power Doppler imaging) in the differential diagnosis of small liver tumors to identify the optimal diagnostic approach with the presently available Doppler technology.

METHODS

Presence and distribution of color and power Doppler signals, Doppler peak frequency, resistive index, and systolic acceleration time were examined in 133 liver nodules (< or = 4 cm).

RESULTS

Color and power Doppler did not identify specific diagnostic vascular patterns. By discriminant analysis, peak frequency (cut-off 1320 Hz) differentiates small hematocellular carcinoma (< or = 2 cm) from macroregenerative nodules and hemangiomas (accuracy 92.6%); resistive index (cut-off 0.65) differentiates malignancies from benign lesions (accuracy 83.8%); and systolic acceleration time (cut-off 105 ms) differentiates hepatocellular carcinoma from metastases (accuracy 80.9%).

CONCLUSIONS

Power Doppler imaging is able to assess vascularity in the majority of small liver nodules, but the pattern distribution of tumoral vascular signals does not provide reliable differential diagnostic criteria. Using conventional Doppler technology, power Doppler should be used to detect vascular signals and spectral analysis, and subsequently to measure quantitative parameters such as high peak frequency and resistive index (which identify malignancy) and prolonged systolic acceleration time (which identifies primary from metastatic liver tumors).

摘要

目的

本研究旨在探讨不同多普勒超声模式(频谱分析、彩色多普勒和能量多普勒成像)在小肝肿瘤鉴别诊断中的价值及局限性,以确定利用现有多普勒技术的最佳诊断方法。

方法

对133个肝结节(直径≤4 cm)进行彩色和能量多普勒信号的存在及分布、多普勒峰值频率、阻力指数和收缩期加速时间的检查。

结果

彩色和能量多普勒未识别出特定的诊断性血管模式。通过判别分析,峰值频率(临界值1320 Hz)可区分小肝细胞癌(直径≤2 cm)与大再生结节及血管瘤(准确率92.6%);阻力指数(临界值0.65)可区分恶性病变与良性病变(准确率83.8%);收缩期加速时间(临界值105 ms)可区分肝细胞癌与转移瘤(准确率80.9%)。

结论

能量多普勒成像能够评估大多数小肝结节的血管情况,但肿瘤血管信号的模式分布未提供可靠的鉴别诊断标准。使用传统多普勒技术时,应先用能量多普勒检测血管信号,再进行频谱分析,随后测量诸如高峰值频率和阻力指数(提示恶性)以及延长的收缩期加速时间(提示原发性肝癌与转移性肝肿瘤)等定量参数。

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