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小肾肿块患者的超声造影质量评估——哪些个体因素与高图像质量相关?

Quality Assessment of CEUS in Individuals with Small Renal Masses-Which Individual Factors Are Associated with High Image Quality?

作者信息

Spiesecke Paul, Fischer Thomas, Friedersdorff Frank, Hamm Bernd, Lerchbaumer Markus Herbert

机构信息

Department of Radiology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany.

Department of Urology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany.

出版信息

J Clin Med. 2020 Dec 17;9(12):4081. doi: 10.3390/jcm9124081.

Abstract

Obesity and bowel gas are known to impair image quality in abdominal ultrasound (US). The present study aims at identifying individual factors in B-mode US that influence contrast-enhanced US (CEUS) image quality to optimize further imaging workup of incidentally detected focal renal masses. We retrospectively analyzed renal CEUS of focal renal masses ≤ 4 cm performed at our center in 143 patients between 2016 and 2020. Patient and lesion characteristics were tested for their influence on focal and overall image quality assessed by two experienced radiologists using Likert scales. Effects of significant variables were quantified by receiver operating characteristics (ROC) curve analysis with area under the curve (AUC), and combined effects were assessed by binary logistic regression. Shrunken kidney, kidney depth, lesion depth, lesion size, and exophytic lesion growth were found to influence focal renal lesion image quality, and all factors except lesion size also influenced overall image quality. Combination of all parameters except kidney depth best predicted good CEUS image quality showing an AUC of 0.91 ( < 0.001, 95%-CI 0.863-0.958). The B-mode US parameters investigated can identify patients expected to have good CEUS image quality and thus help select the most suitable contrast-enhanced imaging strategy for workup of renal lesions.

摘要

众所周知,肥胖和肠道气体可降低腹部超声(US)的图像质量。本研究旨在确定B超中影响超声造影(CEUS)图像质量的个体因素,以优化对偶然发现的局灶性肾肿块的进一步成像检查。我们回顾性分析了2016年至2020年间在本中心对143例患者进行的≤4 cm局灶性肾肿块的肾CEUS检查。通过两位经验丰富的放射科医生使用李克特量表评估患者和病变特征对局部和整体图像质量的影响。通过曲线下面积(AUC)的受试者操作特征(ROC)曲线分析对显著变量的影响进行量化,并通过二元逻辑回归评估联合效应。发现肾萎缩、肾深度、病变深度、病变大小和外生性病变生长会影响局灶性肾病变图像质量,除病变大小外的所有因素也会影响整体图像质量。除肾深度外的所有参数组合对良好的CEUS图像质量预测效果最佳,AUC为0.91(<0.001,95%可信区间0.863-0.958)。所研究的B超参数可以识别预期具有良好CEUS图像质量的患者,从而有助于为肾病变的检查选择最合适的超声造影成像策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d9e/7767001/d2bb018f3fa8/jcm-09-04081-g001.jpg

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