SonoLiver^R CAP造影新软件开拓乳腺肿块诊断的新视野

New vision in the diagnosis of breast masses with SonoLiver^R CAP imaging analysis software

目的通过新的SonoLiver CAP伪彩色造影分析软件对乳腺肿块的应用研究,探讨乳腺良恶性肿块的诊断新方法。R方法对本组2006年11月至2009年5月经手术病理证实64个乳腺肿块常规检查后进行超声造影检查,并以SonoLiver CAP伪彩色造影分析。结果64例乳腺肿块CAP软件分析显示红色为主的高增强区37例,蓝色为主的低增强区27例,肿瘤性质与回声增强的关系,恶性肿瘤中76.5%为高增强,23.5%为低增强,良性肿瘤中26.9%为高增强,73.1%为低增强。乳腺炎症均显示为高增强。高增强肿块以恶性为主,低增强肿块以良性为主,恶性组中以整体不规则团块状及散在分布的斑片状为主,达84.6%,良性组以点线状为主,达85.7%。而且峰值强度时相测定高增强紫红色区域占整个肿块造影区域的面积百分比不同:恶性(58.39±18.20)%,良性(32.78±16.30)%R(P<0.05)。结论SonoLiver CAP造影分析软件能将组织结构造影的灰阶高低用彩色编码,清晰显示,直观,简单,开拓了乳腺肿块诊断的新视野。

Objective To apply the new SonoLiver^R CAP pseudo-color imaging analysis software in the breast masses, and to discuss the new method in the differentiation of benign and malignant breast tumor. Methods There were 64 masses form November 2006 to May 2009 examined by contrast-enhanced ultrasound （CEUS） and SonoLiver^R CAP pseudo-color imaging analysis softwere. All cases were confirmed by surgery and pathology. Results In 64 masses analyzed with the new SonoLiver^R CAP pseudo-color imaging software, 37 masses with purple-red region which meant high-enhanced and 27 masses showed purple-blue region which meant low-enhanced. 76.5% in malignant masses 76.5% massas were showed high-enhanced and 23.5% massas were low-enhanced in benign masses, only 26.9% were high-enhanced and 73.1% were low-enhanced. Inflammation disease of the breast were all high-enhanced. Those high-enhanced masses were malignant mostly, and lowenhanced masses were benign mostly. The malignant masses of high-enhanced were irregular in whole or, patching shape（84.6%）; while benign ones were speckle and streak shape（85.7%）. Measurement of peak enhameement of high-enhanced purple areas in the whole tumor reigon： was （58.39 ± 18.20）%, in malignanly and （32.78 ± 16.30）%, in benign masses （P〈0.05）. Conclusion SonoLiver^R CAP imaging analysis software provides a new vision in the diagnosis of breast masses, which converts, the gray scale intensity into color code. It demonstrates breast masses clearly and objectively.