Shear-Wave Elastography of Benign versus Malignant Musculoskeletal Soft-Tissue Masses: Comparison with Conventional US and MRI

被引:29
|
作者
Tavare, Aniket N. [1 ]
Alfuraih, Abdulrahman M. [2 ,3 ,4 ]
Hensor, Elizabeth M. A. [2 ,4 ]
Astrinakis, Emmanouil [1 ]
Gupta, Harun [1 ]
Robinson, Philip [1 ,2 ]
机构
[1] Leeds Teaching Hosp Trust, Chapel Allerton Hosp, Musculoskeletal Ctr X Ray Dept, Leeds LS7 4SA, W Yorkshire, England
[2] Univ Leeds, Leeds Biomed Res Ctr, Leeds, W Yorkshire, England
[3] Prince Sattam bin Abdulaziz Univ, Radiol & Med Imaging Dept, Coll Appl Med Sci, Kharj, Saudi Arabia
[4] Univ Leeds, Leeds Inst Rheumat & Musculoskeletal Med, Chapel Allerton Hosp, Leeds, W Yorkshire, England
关键词
BREAST MASSES; ULTRASOUND ELASTOGRAPHY; DIAGNOSTIC PERFORMANCE; SONOELASTOGRAPHY; TUMORS; LESIONS;
D O I
10.1148/radiol.2018180950
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To examine if shear-wave elastography (SWE) improves the accuracy of diagnosing soft-tissue masses as benign or malignant compared with US alone or in combination with MRI. Materials and Methods: Two hundred six consecutive adult participants (mean age, 57.7 years; range, 18-91 years), including 89 men (median age, 56.0 years; range, 21-91 years) and 117 women (median age, 59.1 years; range, 18-88 years), who were referred for biopsy of a soft-tissue mass were prospectively recruited from December 2015 through March 2017. Participants underwent B-mode US, MRI, and SWE prior to biopsy. Three musculoskeletal radiologists independently reviewed US images alone, followed by US and MRI images together, and classified lesions as benign, probably benign, probably malignant, or malignant. For SWE, the area under the receiver operating characteristic (ROC) curve (AUC) was calculated for transverse shear-wave velocity (SWV). Multivariable logistic regression was used to investigate the association between SWE and malignancy alongside individual demographic and imaging variables. Results: At histologic examination, 79 of 206 (38%) participants had malignant lesions. SWV showed good diagnostic accuracy for lesions classified as benign or probably benign by US alone (AUC = 0.87 [95% confidence interval {CI}: 0.79, 0.95]). SWV did not provide substantive diagnostic information for lesions classified as probably malignant or malignant, whether the classification was made with or without MRI. However, multivariable modeling indicated that diagnostic accuracy may vary by lesion position (interaction P =.02; superficial, odds ratio [OR] = 17.7 [95% CI: 1.50, 207], P =.02; deep/mixed, OR = 0.24 [95% CI: 0.07, 0.86], P =.03) and participant age (interaction P =.01; eg, age 43 years, OR = 0.72 [95% CI: 0.15, 3.5], P =.69; age 72 years, OR = 0.08 [95% CI: 0.02, 0.37], P =.001). Conclusion: Shear-wave elastography can increase accuracy of soft-tissue lesion diagnosis in conjunction with US. However, a single cut-off may not be universally applicable with diagnostic accuracy that is affected by lesion position and patient age. (c) RSNA, 2018
引用
收藏
页码:410 / 417
页数:8
相关论文
共 50 条
  • [31] Inter- and intra-reader reproducibility of shear wave elastography measurements for musculoskeletal soft tissue masses
    Nicholls, Jonathan
    Alfuraih, Abdulrahman M.
    Hensor, Elizabeth M. A.
    Robinson, Philip
    SKELETAL RADIOLOGY, 2020, 49 (05) : 779 - 786
  • [32] Characterization of benign and malignant solid breast masses: Comparison of conventional US and tissue harmonic imaging
    Cha, Joo Hee
    Moon, Woo Kyung
    Cho, Nariya
    Kim, Sun Mi
    Park, Seong Ho
    Han, Boo-Kyung
    Choe, Yeon Hyeon
    Park, Jeong Mi
    Im, Jung-Gi
    RADIOLOGY, 2007, 242 (01) : 63 - 69
  • [33] Shear-wave elastography and greyscale assessment of palpable probably benign masses: is biopsy always required?
    Giannotti, Elisabetta
    Vinnicombe, Sarah
    Thomson, Kim
    McLean, Dennis
    Purdie, Colin
    Jordan, Lee
    Evans, Andy
    BRITISH JOURNAL OF RADIOLOGY, 2016, 89 (1062):
  • [34] Soft-tissue masses - Use of a scoring system in differentiation of benign and malignant lesions
    Mutlu, H
    Silit, E
    Pekkafali, Z
    Basekim, CC
    Ozturk, E
    Sildiroglu, O
    Kizilkaya, E
    Karsli, AF
    CLINICAL IMAGING, 2006, 30 (01) : 37 - 42
  • [35] Radiomics Nomogram for Differentiating Between Benign and Malignant Soft-Tissue Masses of the Extremities
    Wang, Hexiang
    Nie, Pei
    Wang, Yujian
    Xu, Wenjian
    Duan, Shaofeng
    Chen, Haisong
    Hao, Dapeng
    Liu, Jihua
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 51 (01) : 155 - 163
  • [36] Added Value of Shear-Wave Elastography for Evaluation of Breast Masses Detected with Screening US Imaging
    Lee, Su Hyun
    Chang, Jung Min
    Kim, Won Hwa
    Bae, Min Sun
    Seo, Mirinae
    Koo, Hye Ryoung
    Chu, A. Jung
    Gweon, Hye Mi
    Cho, Nariya
    Moon, Woo Kyung
    RADIOLOGY, 2014, 273 (01) : 61 - 69
  • [37] Characterization of soft tissue tumours with ultrasound, shear wave elastography and MRI
    Winn, N.
    Baldwin, J.
    Cassar-Pullicino, V
    Cool, P.
    Ockendon, M.
    Tins, B.
    Jaremko, J. L.
    SKELETAL RADIOLOGY, 2020, 49 (06) : 869 - 881
  • [38] Shear-wave elastography for breast masses: local shear wave speed (m/sec) versus Young modulus (kPa)
    Youk, Ji Hyun
    Son, Eun Ju
    Park, Ah Young
    Kim, Jeong-Ah
    ULTRASONOGRAPHY, 2014, 33 (01) : 34 - 39
  • [39] Characterization of soft tissue tumours with ultrasound, shear wave elastography and MRI
    N. Winn
    J. Baldwin
    V. Cassar-Pullicino
    P. Cool
    M. Ockendon
    B. Tins
    J. L. Jaremko
    Skeletal Radiology, 2020, 49 : 869 - 881
  • [40] False positive or negative results of shear-wave elastography in differentiating benign from malignant breast masses: analysis of clinical and ultrasonographic characteristics
    Kim, Mi Young
    Choi, Nami
    Yang, Jung-Hyun
    Yoo, Young Bum
    Park, Kyoung Sik
    ACTA RADIOLOGICA, 2015, 56 (10) : 1155 - 1162