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高频彩色多普勒超声对体表软组织包块的诊断价值 被引量:8

Effectiveness of Application of High-Frequency Color Doppler Ultrasound in Differential Diagnosis of the Soft Tissue Mass on the Body Surface
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摘要 目的探讨高频彩色多普勒超声对体表软组织包块的鉴别诊断价值。方法回顾性分析经病理确诊的252个体表软组织包块的超声声像图特征,以病理结果为金标准,记录彩超检查的灵敏度、特异度、准确度、阳性预测值、阴性预测值,并对包块的血流分级、收缩期峰值血流速度(PSV)、阻力指数(RI)等检测指标进行分析。结果超声诊断的灵敏度为60.00%(21/35),特异度为96.77%(210/217),准确度为91.67%(231/252),阳性预测值为75.00%(21/28),阴性预测值为93.75%(210/224)。良性包块PSV<20 cm/s,RI<0.7;恶性包块PSV>20 cm/s,RI>0.7。良性组的PSV和RI均低于恶性组,差异均有统计学意义(P<0.05)。结论高频彩色多普勒超声对体表软组织包块具有较高的诊断价值,可作为体表软组织包块的首选检查方法。 OMoetiva To investigate the effectiveness of application of high-frequency color Doppler ultrasound in differential diagnosis of soft tissue mass on the body surface. Methods Taken the pathological results as the gold standard, the ultrasonographic imaging features of 252 pathologically- eonfimaed soft tissue masses on the body surface were retrospectively analyzed, to record the sensitivity, specifieity, accuracy, positive and negative prediction values of color Doppler ultrasound. Additionally, the test indexes such as flow classification, PSV (Peak Systolic Velocity), RI (Resistance Indexes) of masses were also nnalyzed. Rasults The sensitivity, specificity, accuracy, positive and negative prediction values diagnosed by color ultrasound imaging were 60.00% (21/35), 96.77% (210/217), 91.67% (231/252), 75.00% (21/28) and 93.75% (210/224), respectively. While, the PSV and RI of benign and nmtignant masses were PSV〈20 ernds and R/〈0.7 versus PSV〉20 em/s and RI〉0.7. The PSV and RI of Benign Group were lower than those of Malignant Group with statistically significant differences (P〈0.05). Conclusion High-frequency color Doppler ultrasound proved its effectiveness in differential diagnosis of soft tissue masses on the body surface, which could be deemed as a first-choice inspection method for soft tissue masses on the body surface.
出处 《中国医疗设备》 2015年第8期39-42,124,共5页 China Medical Devices
关键词 高频彩色多普勒超声 体表软组织包块 收缩期峰值血流速度 阻力指数 high-frequency color Doppler ultrasound soft tissue masses of body surface peak systolic velocity resistance indexes
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