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Ultrasonographic Diagnosis of Nonalcoholic Steatohepatitis Based on the Quantitative Evaluation of the Ultrasound Beam Behavior into the Liver

机译:基于超声波束行为对肝脏的定量评价的非酒精性脱皮肝炎的超声诊断

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Ultrasonography is a simple method in diagnosing nonalcoholic steatohepatitis (NASH), providing useful information, but it is subjective and does not accurately differentiate between steatosis grades. The computerized processing of the data that comprises the ultrasonic image might transform ultrasonography into an objective examination. We aim to study the performance of the quantitative evaluation of the ultrasound beam behavior into the liver in diagnosing NASH and in establishing the fatty load grade. 45 consecutive NASH patients and 17 healthy subjects were prospectively included in this study. We calculated on each image: attenuation, backscattering, correlation coefficient and fitting error, each computed from 7, 11 and 15 pixels. Predictive value and area under the ROC curves (AUROC) were used to assess the accuracy of the results. In distinguishing NASH patients from healthy subjects, AUROC for attenuation, backscattering, correlation coefficient and fitting error were 0.95, 0.95, 0.81 and 0.58 respectively, and in distinguishing significant from insignificant fatty load, AUROC recorded 0.83, 0.82, 0.78 and 0.57 respectively. The number of pixels used to compute these coefficients doesn't have a great impact on their relevance. A cutoff value of -0,08 of ultrasonic-enhanced attenuation could distinguish the presence and absence of steatohepatitis (Sn 86,67%, Sp 100%, PPV 100%, NPV 71,4337%, AUROC 0,957), and a cutoff value of-0,1 could distinguish the moderate/severe from the absent/mild fatty load (Sn 88,89%, Sp 65,71%, PPV 66,65%, NPV 88,46%, AUROC 0,831). The use of these methods could substantially improve the identification of NASH and the assessment of its grade.
机译:超声检查是一种诊断非酒精性脂肪性炎(NASH)的简单方法,提供有用的信息,但它是主观的,并且在脂肪变性等级之间不准确区分。包括超声图像的数据的计算机化处理可能将超声检查变为客观检查。我们的目的,研究超声波束行为的定量评价在肝脏中的肝脏和建立脂肪载荷等级的性能。本研究中持续45例连续纳什患者和17名健康受试者。我们计算在每个图像上:衰减,反向散射,相关系数和拟合误差,每个图像从7,11和15像素计算。 ROC曲线(AUROC)下的预测值和面积用于评估结果的准确性。在区分从健康受试者的纳什患者中,分别为衰减,反向散射,相关系数和拟合误差分别为0.95,0.95,0.81和0.58,并在微小脂肪载体中显着,分别记录0.83,0.82,0.78和0.57。用于计算这些系数的像素数量对其相关性没有很大影响。超声波增强衰减的截止值-0,08可以区分胫骨炎的存在和不存在(Sn 86,67%,SP 100%,PPV 100%,NPV 71,4337%,Auroc 0,957)和截止值OF-0,1可以将中等/严重与缺失/轻度脂肪载(SN 88,89%,SP 65,71%,PPV 66,65%,NPV 88,46%,AuroC 0,831)区分开。这些方法的使用可以大大改善纳什的识别和对其成绩的评估。

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