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A quantitative grading system of vesicoureteral reflux by contrast-enhanced voiding urosonography

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单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Med Ultrasound, 1095 Jiefang Ave, Wuhan 430030, Hubei, Peoples R China [2]Univ Illinois, Dept Elect & Comp Engn, Urbana, IL USA [3]Univ Illinois, Beckman Inst Adv Sci & Technol, Urbana, IL USA [4]Huazhong Univ Sci & Technol, Tongji Hosp, Dept Paediat, Tongji Med Coll, Wuhan, Peoples R China
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关键词: contrast-enhanced voiding urosonography vesicoureteral reflux quantitative grading system cut-off value

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Aims: Contrast-enhanced voiding urosonography (ceVUS) is a well-established imaging modality for the diagnosis of vesicoureteral reflux (VUR). However, discrepancies of grading diagnosis of VUR exist due to the qualitative aradina criteria currently used in clinics. This study aimed to evaluate numerical markers for a quantitative VUR grading system. Material and methods: CeVUS images of grade II-VVUR were analysed. A quantitative indicator, i.e. sectional area ratio (SAR), on the imaging section with maximum cross-section area and the presence of kidney hilum was calculated to distinguish different grades of VUR. The diagnostic performance of SAR was evaluated using receiver operating characteristic curve (ROC) analysis, and the maximiun Youden Index was used to determine the optimal cut-off values. Results: A total of 63 patients with 126 Pelvillreteral Units were enrolled. The SAR value increased significantly along with the increase of VUR grade. SAR had an excellent diagnostic performance in grading VUR. For differentiating VUR of grade II vs III, III vs IV and IV vs V, the area under the ROC curve values of SAR were 0.967, 0.943 and 0.865, respectively, while the optimal SAR cut-off values were 14.3%. 34.9% and 51.0%, respectively. The quantitative grading system based on the optimal SAR cut-off values showed excellent consistency with the qualitative grading system of VUR currently used in clinic. Conclusions: The numerical indicator SAR calculated from ceVUS may be used to establish a quantitative VUR grading system with excellent diagnostic performance and can potentially serve as a reliable tool for the evaluation and follow-up of VUR.

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出版当年[2019]版:
大类 | 4 区 医学
小类 | 4 区 声学 4 区 核医学
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 声学 4 区 核医学
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出版当年[2018]版:
Q2 ACOUSTICS Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q2 ACOUSTICS Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

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第一作者单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Med Ultrasound, 1095 Jiefang Ave, Wuhan 430030, Hubei, Peoples R China [2]Univ Illinois, Dept Elect & Comp Engn, Urbana, IL USA [3]Univ Illinois, Beckman Inst Adv Sci & Technol, Urbana, IL USA
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通讯机构: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Med Ultrasound, 1095 Jiefang Ave, Wuhan 430030, Hubei, Peoples R China [2]Univ Illinois, Dept Elect & Comp Engn, Urbana, IL USA [3]Univ Illinois, Beckman Inst Adv Sci & Technol, Urbana, IL USA
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