彩色多普勒超声探查胸外侧动脉血流动力学参数对乳腺癌诊断价值的研究

Value of detecting haemodynamic parameters of lateral thoracic artery in diagnosis of breast cancer by color Doppler sonography

目的探讨胸外侧动脉(LTA)血流动力学参数(S/D、RI、PI)在乳腺癌诊断中的价值。方法术前1周对70例乳腺良、恶性肿块患者及30例健康女性进行彩色多普勒超声检查,测量并记录肿块大小、部位、彩色血流分级及LTA血流动力学参数。结果乳腺癌组患侧LTA的S/D、RI、PI明显低于对侧,差异有统计学意义(P<0.05)。乳腺良性肿块组LTA的S/D、RI、PI两侧比较差异无统计学意义(P>0.05)。如以LTA的S/DH-C≥1.5为诊断乳腺癌标准,敏感性、特异性分别为83.8%、76.7%;如以LTA的PIH-C≥0.3为诊断乳腺癌标准,敏感性、特异性分别为83.7%、83.3%;如以LTA的RIH-C≥0.06为诊断乳腺癌标准,敏感性、特异性分别为86.4%、90%。相关性分析表明LTA的S/D、RI、PI与肿块大小、肿块内血流分级呈负相关(P<0.05),与肿块位置无明显相关性(P>0.05)。结论应用彩色多普勒超声测定LTA的S/D、PI、RI,可作为诊断乳腺癌的诊断指标之一,LTA的S/D、PI、RI与肿块大小、肿块内血流分级具有相关性。

Objective To investigate the value of haemodynamic parameters （S/D, RI, PI） of the lateral thoracic artery （LTA） in the diagnosis of breast cancer. Methods Seventy breast tumor patients and thirty healthy women were examined by Color Doppler sonography in one week before operation. Size of the mass, tumor position, the classification of flow signals, and LTA haemodynamic parameters were assessed. Results S/D ratio, PI, RI of LTA were significantly lower in the tumor affected breasts than the contralateral healthy breasts in breast cancer group （P〈0.05）. However, there were no significant differences in benign breast tumor group （P〉0.05）. When the S/D H-C≥1.5 of LTA served as diagnostic criteria of breast cancer, sensitivity, specificity were 83.8%, 76.7%, respectively; When the PI H-C≥0.3 of LTA served as diagnostic criteria of breast cancer, sensitivity, specificity were 83.7%, 83.3%, respectively; when the RI H-C≥0.06 of LTA served as diagnostic criteria of breast cancer, sensitivity, specificity reached 86.4%, 90%. Correlation analysis showed that S/D ratio, PI, RI of LTA were negatively correlated with tumor size and the classification of flow signals, while were not significantly correlated with tumor position. Conclusion Detecting the S/D ratio, PI, RI of LTA by color Doppler sonography can be used as one of diagnostic indicators of breast cancer and S/D ratios, PI, RI of LTA were correlated with tumor size, the classification of flow signals.