Literature DB >> 26268710

The diagnostic value of contrast-enhanced ultrasound in differentiating small renal carcinoma and angiomyolipoma.

Lin Chen1, Ling Wang, Xuehong Diao, Weiqing Qian, Liang Fang, Yun Pang, Jia Zhan, Yue Chen.   

Abstract

The aim of this study was to explore the value of contrast-enhanced ultrasound (CEUS) in differentiating small renal masses. A total of 102 small renal masses (≤ 3 cm) in 99 patients were examined using conventional ultrasound (CUS) and CEUS, and the findings were reviewed and evaluated in comparison to pathology. Significant differences between renal cell carcinomas (RCCs) and angiomyolipomas (AMLs) were noted in terms of the orientation and echogenicity on CUS (p < 0.05 for both), but the location, shape, margins, homogeneity, and blood flow signals of RCCs on color Doppler flow imaging (CDFI) were similar to those of AMLs (p > 0.05 for all). On CEUS, however, the enhancement intensity, washout in the late phase, and perilesional rim-like enhancement differed significantly for RCCs and AMLs (p = 0.000 for all). Significant differences between CEUS and CUS in terms of sensitivity (88.9% vs. 55.6%), the negative predictive value (68.0% vs. 29.5%), the false negative rate (9.9% vs. 44.5%), and accuracy (88.3% vs. 58.9%) were noted (p < 0.05 for all). CEUS, with its unique features, has value in diagnosing small RCCs and AMLs and outperforms CUS in differentiation of small RCCs and AMLs.

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Year:  2015        PMID: 26268710     DOI: 10.5582/bst.2015.01080

Source DB:  PubMed          Journal:  Biosci Trends        ISSN: 1881-7815            Impact factor:   2.400


  9 in total

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Authors:  Su-Shan Zhang; Yu-Hao Ni; Chen-Ru Zhao; Zhen Qiao; Hong-Xia Yu; Lu-Yao Wang; Jin-Yan Sun; Chen Du; Jia-Hao Zhang; Li-Ying Dong; KeWei Wang; Jian-Jun Gao
Journal:  Acta Pharmacol Sin       Date:  2017-11-30       Impact factor: 6.150

Review 2.  An overview of non-invasive imaging modalities for diagnosis of solid and cystic renal lesions.

Authors:  Ravinder Kaur; Mamta Juneja; A K Mandal
Journal:  Med Biol Eng Comput       Date:  2019-11-21       Impact factor: 2.602

Review 3.  [Epidemiology and diagnostic assessment of small renal masses].

Authors:  B K Ziegelmüller; A Spek; B Szabados; J Casuscelli; D-A Clevert; M Staehler
Journal:  Urologe A       Date:  2018-03       Impact factor: 0.639

4.  Contrast-enhanced ultrasound in diagnosis of epithelioid renal angiomyolipoma with renal vein and inferior vena cava extension.

Authors:  Tingting Qiu; Wenwu Ling; Qiang Lu; Changli Lu; Yan Luo
Journal:  J Med Ultrason (2001)       Date:  2016-03-09       Impact factor: 1.314

5.  The quantitative evaluation of contrast-enhanced ultrasound in the differentiation of small renal cell carcinoma subtypes and angiomyolipoma.

Authors:  Hui Liu; Hongli Cao; Lin Chen; Liang Fang; Yingchun Liu; Jia Zhan; Xuehong Diao; Yue Chen
Journal:  Quant Imaging Med Surg       Date:  2022-01

6.  Diagnostic Performance of Contrast-Enhanced Ultrasound in Renal Cancer: A Meta-Analysis.

Authors:  Ke-Hao Pan; Li Jian; Wei-Jun Chen; Abdul Aziz Nikzad; Fang Q Kong; Xu Bin; Ya-Li Wang; Ming Chen
Journal:  Front Oncol       Date:  2020-11-18       Impact factor: 6.244

7.  Diagnostic accuracy of contrast-enhanced ultrasound in the detection of small renal masses: A protocol of systematic review and meta-analysis.

Authors:  Jiang-Feng Wu; Chao Wu; Yun-Lai Wang; Zheng-Ping Wang
Journal:  Medicine (Baltimore)       Date:  2020-07-17       Impact factor: 1.817

8.  The independent indicators for differentiating renal cell carcinoma from renal angiomyolipoma by contrast-enhanced ultrasound.

Authors:  Hongli Cao; Liang Fang; Lin Chen; Jia Zhan; Xuehong Diao; Yingchun Liu; Chen Lu; Zhengwang Zhang; Yue Chen
Journal:  BMC Med Imaging       Date:  2020-03-30       Impact factor: 1.930

Review 9.  Characteristics of contrast-enhanced ultrasound for diagnosis of solid clear cell renal cell carcinomas ≤4 cm: A meta-analysis.

Authors:  Yang Liu; Yanmin Kan; Jincun Zhang; Ning Li; Yihua Wang
Journal:  Cancer Med       Date:  2021-11-01       Impact factor: 4.452

  9 in total

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