The preliminary study of virtual touch tissue imaging quantification technology in #br#
the differential diagnosis between benign and malignant breast lesions
ZHAN Jia, LIU Ying-chun, CHEN Yue, CHEN Lin, DIAO Xue-hong
Department of Ultrasound, Huadong Hospital of Fudan University, Shanghai 200040, China
摘要目的：评价声辐射力脉冲弹性成像（ARFI）和声触诊组织成像定量（VTIQ）剪切波弹性成像技术鉴别诊断乳腺肿块良恶性的应用价值。方法：对60例行乳腺肿块切除手术的患者的60个乳腺肿块，术前分别行ARFI及VTIQ检查，测量病灶内部横向剪切波速度（SWV），以病理结果作为金标准，绘制ARFI和VTIQ鉴别诊断乳腺肿块良恶性的ROC曲线，并比较两者曲线下面积。结果：60个乳腺肿块中恶性病灶36个，良性病灶24个；ARFI和VTIQ测得的乳腺恶性肿块平均SWV均高于乳腺良性肿块平均SWV，且差异有统计学意义（P<0.05）。VTIQ和ARFI鉴别诊断乳腺肿块良恶性的ROC曲线下面积比较（0.826 vs. 0.736）差异有统计学意义（P<0.05）。结论：与ARFI比较，VTIQ 技术对乳腺肿块良恶性的鉴别诊断有较好的应用价值。
Abstract： Objective: To assess the clinical application of acoustic radiation force impulse(ARFI) and virtual touch tissue imaging quantification(VTIQ) technique in the differential diagnosis between benign and malignant breast lesions. Methods: Sixty breast masses in 60 patients before mastectomy were examined with ARFI and VTIQ, and the internal transverse shear wave velocity(SWV) were obtained respectively. ROC curves were drawn to evaluate the diagnostic results compared with pathological findings. Results: The SWVs obtained from ARFI and VTIQ in the malignant breast masses were higher than benign ones and there were statistical difference(P<0.05). The area under ROC curve of VTIQ(0.826) was larger than that of ARFI(0.736)(P<0.05). Conclusion: Compared with ARFI, VTIQ measuring is a reliable method for differentiating benign and malignant breast lesions.
詹 嘉，刘迎春，陈 悦，陈 林，刁雪红. 声触诊组织成像和定量技术鉴别诊断乳腺肿块良恶性的初步探讨[J]. 中国临床医学影像杂志, 2017, 28(6): 405-407.
ZHAN Jia, LIU Ying-chun, CHEN Yue, CHEN Lin, DIAO Xue-hong. The preliminary study of virtual touch tissue imaging quantification technology in #br#
the differential diagnosis between benign and malignant breast lesions. JOURNAL OF CHINA MEDICAL IMAGING, 2017, 28(6): 405-407.
[1]Stewart BW, Wild C. World Cancer Report 2014[M]. Lyon: IARC Press, 2014: 35-42.
[2]上海市肿瘤研究所流行病学研究室. 2009年上海市市区恶性肿瘤发病率[J]. 肿瘤，2012，32（10）：854.
[3]张花，冉海涛，张萍，等. 声辐射脉冲力技术定量鉴别诊断良恶性乳腺肿块[J]. 中国医学影像技术，2013，29（3）：407-410.
[4]欧冰，智慧，杨海云，等. 比较声触诊组织量化与弹性应变率比值法诊断乳腺疾病[J]. 中国医学影像技术，2012，28（10）：321-323.
[5]沈春云，徐春燕，张绪霞. ABVS联合ARFI技术对乳腺病灶鉴别诊断价值[J]. 中国超声医学杂志，2015，31（12）：1835-1838.
[6]唐力，徐辉雄，李建卫，等. 声触诊组织成像定量剪切波弹性成像技术鉴别诊断乳腺肿块良恶性的价值[J]. 中华医学超声杂志：电子版，2015，12（12）：951-956.
[7]李小龙，徐辉雄，伯小皖，等. 声触诊组织成像和定量技术对BI-RADS 4类乳腺病灶良恶性的诊断价值[J]. 影像诊断与介入放射学，2015，24（4）：290-293.
[8]Matsuzuka T, Suzuki M, Saijo S, et al. Stiffness of salivary gland and tumor measured by new ultrasonic techniques: Virtual touch quantification and IQ[J]. Auris Nasus Larynx, 2015, 42(2): 128-133.
[9]Li XL, Xu HX, Bo XW, et al. Value of Virtual Touch Tissue Imaging Quantification for Evaluation of Ultrasound Breast Imaging-Reporting and Data System Category 4 Lesions[J]. Ultrasound Med Biol, 2016, 42(9): 2050-2057.
