|
|
|
| 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 |
|
|
|
|
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.
|
|
Received: 23 September 2016
|
|
|
|
|
|
| Cite this article: |
|
ZHAN Jia,LIU Ying-chun,CHEN Yue, et al. The preliminary study of virtual touch tissue imaging quantification technology in #br#
the differential diagnosis between benign and malignant breast lesions[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2017, 28(6): 405-407.
|
|
|
|
| URL: |
| http://www.jccmi.com.cn/EN/ OR http://www.jccmi.com.cn/EN/Y2017/V28/I6/405 |
[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. |
|
|
|
