Literature DB >> 25148191

Diagnostic performance of quantitative shear wave elastography in the evaluation of solid breast masses: determination of the most discriminatory parameter.

Frederick Wing-Fai Au1, Sandeep Ghai, Hadas Moshonov, Harriette Kahn, Cressida Brennan, Hemi Dua, Pavel Crystal.   

Abstract

OBJECTIVE: The purpose of this article is to assess the diagnostic performance of quantitative shear wave elastography in the evaluation of solid breast masses and to determine the most discriminatory parameter. SUBJECTS AND METHODS: B-mode ultrasound and shear wave elastography were performed before core biopsy of 123 masses in 112 women. The diagnostic performance of ultrasound and quantitative shear wave elastography parameters (mean elasticity, maximum elasticity, and elasticity ratio) were compared. The added effect of shear wave elastography on the performance of ultrasound was determined.
RESULTS: The mean elasticity, maximum elasticity, and elasticity ratio were 24.8 kPa, 30.3 kPa, and 1.90, respectively, for 79 benign masses and 130.7 kPa, 154.9 kPa, and 11.52, respectively, for 44 malignant masses (p < 0.001). The optimal cutoff value for each parameter was determined to be 42.5 kPa, 46.7 kPa, and 3.56, respectively. The AUC of each shear wave elastography parameter was higher than that of ultrasound (p < 0.001); the AUC value for the elasticity ratio (0.943) was the highest. By adding shear wave elastography parameters to the evaluation of BI-RADS category 4a masses, about 90% of masses could be downgraded to BI-RADS category 3. The numbers of downgraded masses were 40 of 44 (91%) for mean elasticity, 39 of 44 (89%) for maximum elasticity, and 42 of 44 (95%) for elasticity ratio. The numbers of correctly downgraded masses were 39 of 40 (98%) for mean elasticity, 38 of 39 (97%) for maximum elasticity, and 41 of 42 (98%) for elasticity ratio. There was improvement in the diagnostic performance of ultrasound of mass assessment with shear wave elastography parameters added to BI-RADS category 4a masses compared with ultrasound alone. Combined ultrasound and elasticity ratio had the highest improvement, from 35.44% to 87.34% for specificity, from 45.74% to 80.77% for positive predictive value, and from 57.72% to 90.24% for accuracy (p < 0.0001). The AUC of combined ultrasound and elasticity ratio (0.914) was the highest compared with the other combined parameters.
CONCLUSION: There was a statistically significant difference in the values of the quantitative shear wave elastography parameters of benign and malignant solid breast masses. By adding shear wave elastography parameters to BI-RADS category 4a masses, we found that about 90% of them could be correctly downgraded to BI-RADS category 3, thereby avoiding biopsy. Elasticity ratio (cutoff, 3.56) appeared to be the most discriminatory parameter.

Entities:  

Keywords:  breast; quantitative shear wave elastography; solid masses; ultrasound

Mesh:

Year:  2014        PMID: 25148191     DOI: 10.2214/AJR.13.11693

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  23 in total

1.  Diagnostic performance of shear wave elastography in discriminating malignant and benign breast lesions : Our experience with QelaXtoTM software.

Authors:  Karina Pesce; Fernando Binder; María José Chico; María Paz Swiecicki; Diana Herbas Galindo; Sergio Terrasa
Journal:  J Ultrasound       Date:  2020-06-11

2.  Combining Virtual Touch Tissue Imaging and BI-RADS May Improve Solid Breast Lesion Evaluation.

Authors:  Size Wu; Xiaojing Cui; Li Huang; Xuefei Bai
Journal:  Breast Care (Basel)       Date:  2017-04-20       Impact factor: 2.860

3.  Tumor stiffness measured by shear-wave elastography: association with disease-free survival in women with early-stage breast cancer.

Authors:  Jin You Kim; Jin Joo Kim; Lee Hwangbo; Hie Bum Suh; Ji Won Lee; Nam Kyung Lee; Ki Seok Choo; Suk Kim
Journal:  Br J Radiol       Date:  2021-10-05       Impact factor: 3.039

4.  Tumor stiffness measured by quantitative and qualitative shear wave elastography of breast cancer.

Authors:  Eun Jee Song; Yu-Mee Sohn; Mirinae Seo
Journal:  Br J Radiol       Date:  2018-04-09       Impact factor: 3.039

5.  Diagnostic performance of qualitative and quantitative shear wave elastography in differentiating malignant from benign breast masses, and association with the histological prognostic factors.

Authors:  Voraparee Suvannarerg; Piyanuch Chitchumnong; Wipawan Apiwat; Lassanun Lertdamrongdej; Nattinee Tretipwanit; Pongthep Pisarnturakit; Panitta Sitthinamsuwan; Shanigarn Thiravit; Kobkun Muangsomboon; Pornpim Korpraphong
Journal:  Quant Imaging Med Surg       Date:  2019-03

6.  Shear-Wave Elastography for the Differential Diagnosis of Breast Papillary Lesions.

Authors:  Jin Chung; Won Kyung Lee; Eun-Suk Cha; Jee Eun Lee; Jeoung Hyun Kim; Young Hoon Ryu
Journal:  PLoS One       Date:  2016-11-28       Impact factor: 3.240

7.  Quantitative Lesion-to-Fat Elasticity Ratio Measured by Shear-Wave Elastography for Breast Mass: Which Area Should Be Selected as the Fat Reference?

Authors:  Ji Hyun Youk; Eun Ju Son; Hye Mi Gweon; Kyung Hwa Han; Jeong-Ah Kim
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

8.  The intrinsic stiffness of human trabecular meshwork cells increases with senescence.

Authors:  Joshua T Morgan; Vijay Krishna Raghunathan; Yow-Ren Chang; Christopher J Murphy; Paul Russell
Journal:  Oncotarget       Date:  2015-06-20

9.  Clinical application of S-Detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologist.

Authors:  Kiwook Kim; Mi Kyung Song; Eun-Kyung Kim; Jung Hyun Yoon
Journal:  Ultrasonography       Date:  2016-04-14

10.  Shear Wave Elastography: Is It a Valuable Additive Method to Conventional Ultrasound for the Diagnosis of Small (≤2 cm) Breast Cancer?

Authors:  So Jung Kim; Kyung Hee Ko; Hae Kyoung Jung; Hyerin Kim
Journal:  Medicine (Baltimore)       Date:  2015-10       Impact factor: 1.817

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.