JOURNAL ARTICLE

Parametric imaging for characterizing clear cell renal cell carcinoma with contrast-enhanced ultrasound

Cuiju YanBeijian HuangLijuan MaoLiyun XueFeng MaoWenping Wang

Year: 2012 Journal:   Zhonghua chaosheng yingxiangxue zazhi Vol: 21 (10)Pages: 872-875   Publisher: Chinese Medical Association

Abstract

Objective To investigate the features of quantitative analysis and parametric imaging of contrast-enhanced ultrasound (CEUS) in renal clear cell carcinoma (ccRCC).Methods Ninety-seven pathologically confirmed ccRCCs underwent conventional ultrasound and CEUS.Both quantitative parameters and dynamic vascular pattern (DVP) reconstructure were analyzed with Sonoliver software.Four types of DVP curves were described with type Ⅰ (Unipolar +),type Ⅱ (Bipolar + /-),type Ⅲ (Bipolar -/+) and type Ⅳ (Unipolar-),while the DVP parametric images,similarly,were divided into four types,with type Ⅰ,Ⅱ,Ⅲ and Ⅳ,respectively.Results As for the parameter of CEUS,there were statistical differences in maximum intensity (IMAX),area under the curve (AUC) and mean transit time (mTT) (P <0.05) and no statistic differences in rise time (RT) and time to peak (TTP) between ccRccs and peripheral renal parenchyma.Concerning of DVP of ccRCCs,type Ⅰ,Ⅱ,Ⅲ and Ⅳ accounted for 58.8% (57/97),11.3% (11/97),10.3% (10/97) and 19.6% (19/97) respectively.As for each type in DVP parametric images,the percentages were 58.8% (57/97),11.3% (11/97),8.2% (8/97),21.7% (21/97),respectively.Conclusions Quantitative analysis and parametric imaging can depict different features of vascularity in ccRCCs and improve the diagnosis of the tumors. Key words: Ultrasonography ;  Microbubbles ;  Kidney neoplasms ;  Adenocarcinoma, clear cell

Keywords:
Medicine Contrast-enhanced ultrasound Vascularity Ultrasound Radiology Renal cell carcinoma Nuclear medicine Contrast (vision) Radiomics Adenocarcinoma Parametric statistics Pathology Internal medicine Cancer Artificial intelligence Mathematics Statistics

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Topics

Renal cell carcinoma treatment
Health Sciences →  Medicine →  Pulmonary and Respiratory Medicine
MRI in cancer diagnosis
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging

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