Clinical Application of Shear Wave Elastography With Shear Wave Dispersion Imaging in the Preoperative Evaluation of Hepatic Parenchyma in Patients With Liver Tumors

被引:4
作者
Wang, Kun [1 ]
Zhang, Shuchen [2 ]
Zhou, Wenyan [2 ]
Wen, Li [3 ]
Zhang, Shanshan [4 ]
Yu, Dong [5 ]
机构
[1] Binzhou Med Univ, Affiliated Hosp, Dept Ultrasoun4, Binzhou, Peoples R China
[2] 1 Peoples Hosp, Dept Ultrasoun4, Yancheng, Peoples R China
[3] Special Care Hosp Hebei Prov, Funct, Shijiazhuang, Hebei, Peoples R China
[4] Zhengzhou Univ, Affiliated Hosp 1, Dept Ultrasound, 1 East Jianshe Rd, Zhengzhou, Peoples R China
[5] Fengfeng Gen Hosp, Dept Ultrasound, North China Med Treatment Hlth Grp, 2 Gushan South St, Fengfeng Dist, Handan, Peoples R China
关键词
liver tumor; shear wave dispersion; shear wave elastography; ULTRASOUND ELASTOGRAPHY; FIBROSIS; RECOMMENDATIONS; GUIDELINES; QUANTIFICATION; HEPATECTOMY; STEATOSIS; STIFFNESS; DISEASE;
D O I
10.1002/jum.16029
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Objectives This study aimed to compare the diagnostic accuracy of shear wave elastography (SWE) with that of shear wave dispersion (SWD) in evaluation of hepatic parenchyma in patients with liver tumors before resection. Methods A total of 174 patients with liver tumors were prospectively enrolled. SWE and SWD examinations were performed. Fibrosis stage and necroinflammatory activity were determined histopathologically according to the Scheuer standard. We compared the diagnostic accuracy of SWE and SWD. Results Both SWE and SWD values of the liver were highly correlated with liver fibrosis stage (P < .05, respectively). Both SWE and SWD values of the liver were moderately correlated with necroinflammatory activity (P < .05, respectively). Both SWE and SWD values of the liver were not correlated with steatosis (P > .05, respectively). Both SWE and SWD values were significantly different among the patients with different stages of liver fibrosis (P < .001, respectively). The area under the receiver operating characteristic (ROC) curve of SWE value was 0.982, 0.977, 0.969, and 0.984 for predicting S >= 1, S >= 2, S >= 3, and S = 4, respectively. The optimal cutoff SWE values were 6.9, 7.9, 8.7, and 10.6 kPa for S >= 1, S >= 2, S >= 3, and S = 4, respectively. The area under the ROC curve of SWD value was 0.967, 0.960, 0.925, and 0.954 for predicting S >= 1, S >= 2, S >= 3, and S = 4, respectively. The optimal cutoff SWD values were 11.2, 12.0, 13.2, and 16.0 m/s/kHz for S >= 1, S >= 2, S >= 3, and S = 4, respectively. Conclusions SWE and SWD could be noninvasive and accurate for predicting the stage of liver fibrosis in patients with liver tumors before surgery. SWE was more accurate than SWD in predicting severe fibrosis (S >= 3) and cirrhosis (S = 4).
引用
收藏
页码:797 / 807
页数:11
相关论文
共 30 条
  • [21] Lower activity of CCAAT/enhancer-binding protein and expression of cyclin E, but not cyclin D1, activating protein-1 and p21WAF1, after partial hepatectomy in obstructive jaundice
    Nakano, K
    Chijiiwa, K
    Tanaka, I
    [J]. BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2001, 280 (03) : 640 - 645
  • [22] Impact of surgical complications on the risk of hepatocellular carcinoma recurrence after hepatic resection
    Pravisani, Riccardo
    Baccarani, Umberto
    Isola, Miriam
    Adani, Gianluigi
    Lorenzin, Dario
    Terrosu, Giovanni
    Risaliti, Andrea
    [J]. UPDATES IN SURGERY, 2018, 70 (01) : 57 - 66
  • [23] Underlying Steatohepatitis, But Not Simple Hepatic Steatosis, Increases Morbidity After Liver Resection: A Case-Control Study
    Reddy, Srinevas K.
    Marsh, J. Wallis
    Varley, Patrick R.
    Mock, Brady K.
    Chopra, Kapil B.
    Geller, David A.
    Tsung, Allan
    [J]. HEPATOLOGY, 2012, 56 (06) : 2221 - 2230
  • [24] CLASSIFICATION OF CHRONIC VIRAL-HEPATITIS - A NEED FOR REASSESSMENT
    SCHEUER, PJ
    [J]. JOURNAL OF HEPATOLOGY, 1991, 13 (03) : 372 - 374
  • [25] A nomogram based on liver stiffness predicts postoperative complications in patients with hepatocellular carcinoma
    Serenari, Matteo
    Han, Kwang-Hyub
    Ravaioli, Federico
    Kim, Seung-Up
    Cucchetti, Alessandro
    Han, Dai-Hoon
    Odaldi, Federica
    Ravaioli, Matteo
    Festi, Davide
    Pinna, Antonio Daniele
    Cescon, Matteo
    [J]. JOURNAL OF HEPATOLOGY, 2020, 73 (04) : 855 - 862
  • [26] Moderate to severe hepatic steatosis leads to overestimation of liver stiffness measurement in chronic hepatitis B patients without significant fibrosis
    Shen, Feng
    Mi, Yu-Qiang
    Xu, Liang
    Liu, Yong-Gang
    Wang, Xiao-Ying
    Pan, Qin
    Zhang, Rui-Nan
    Hu, Xi-Qi
    Xu, Lei-Ming
    Fan, Jian-Gao
    [J]. ALIMENTARY PHARMACOLOGY & THERAPEUTICS, 2019, 50 (01) : 93 - 102
  • [27] Romanian National Guidelines and Practical Recommendations on Liver Elastography
    Sporea, Ioan
    Bota, Simona
    Saftoiu, Adrian
    Sirli, Roxana
    Gradinaru-Tascau, Oana
    Popescu, Alina
    Platon, Monica Lupsor
    Fierbinteanu-Braticevici, Carmen
    Gheonea, Dan Ionut
    Sandulescu, Larisa
    Badea, Radu
    [J]. MEDICAL ULTRASONOGRAPHY, 2014, 16 (02) : 123 - 138
  • [28] The Role of Multiparametric US of the Liver or the Evaluation of Nonalcoholic Steatohepatitis
    Sugimoto, Katsutoshi
    Moriyasu, Fuminori
    Oshiro, Hisashi
    Takeuchi, Hirohito
    Abe, Masakazu
    Yoshimasu, Yu
    Kasai, Yoshitaka
    Sakamaki, Kentaro
    Hara, Takeshi
    Itoi, Takao
    [J]. RADIOLOGY, 2020, 296 (03) : 532 - 540
  • [29] Precise fibrosis staging with shear wave elastography in chronic hepatitis B depends on liver inflammation and steatosis
    Ye, Junzhao
    Wang, Wei
    Feng, Shiting
    Huang, Yang
    Liao, Xianhua
    Kuang, Ming
    Xie, Xiaoyan
    Liao, Bing
    Zhong, Bihui
    [J]. HEPATOLOGY INTERNATIONAL, 2020, 14 (02) : 190 - 201
  • [30] Evaluation of liver parenchyma stiffness in patients with liver tumours: optimal strategy for shear wave elastography
    Zheng, Wei
    Zhou, Zhong-guo
    Wong, Chong-hei
    Pei, Xiao-qing
    Zhuang, Shu-lian
    Li, Qing
    Chen, Min-Shan
    Li, An-hua
    Zhang, Fu-jun
    [J]. EUROPEAN RADIOLOGY, 2019, 29 (03) : 1479 - 1488