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通过定量超声检查对弥漫性肝病进行检测与鉴别:一项回顾性评估

Detection and differentiation of diffuse liver disease by quantitative echography. A retrospective assessment.

作者信息

Hartman P C, Oosterveld B J, Thijssen J M, Rosenbusch G J, van den Berg J

机构信息

Department of Radiology, University Hospital, Nijmegen, The Netherlands.

出版信息

Invest Radiol. 1993 Jan;28(1):1-6. doi: 10.1097/00004424-199301000-00001.

Abstract

RATIONALE AND OBJECTIVES

The detectability of diffuse liver diseases by quantitative echography was retrospectively investigated using scans of patients with known pathologic findings (n = 103) and of normal subjects (n = 129). The authors determined the best set of quantitative parameters for this task.

METHODS

Quantitative echography was comprised of acoustospectrographic parameters (frequency dependence of attenuation and backscattering) and image texture parameters. The disease processes studied included: acute hepatitis, hepatitis/cirrhosis, alcoholic hepatitis/cirrhosis, primary biliary cirrhosis, and steatosis.

RESULTS

Correct differentiation of these diseases ranged from 88% to 97%. Correlations between histologic grading and echographic parameters were poor. With only one exception, the differentiation between any two of the diseases could be made in 60% to 99% of cases. Different parameters better differentiated abnormal from normal scans than among diseases.

CONCLUSIONS

The detection of diffuse liver diseases can be based on echographic parameters, related to a diffuse scattering model, whereas the differentiation among diseases needs additional parameters derived from a structural scattering model. Further studies are indicated to assess the prospective potential of the devised methods.

摘要

原理与目的

通过对已知病理结果的患者(n = 103)和正常受试者(n = 129)进行扫描,回顾性研究定量超声检查对弥漫性肝病的可检测性。作者确定了用于此任务的最佳定量参数集。

方法

定量超声检查包括声谱参数(衰减和背向散射的频率依赖性)和图像纹理参数。所研究的疾病过程包括:急性肝炎、肝炎/肝硬化、酒精性肝炎/肝硬化、原发性胆汁性肝硬化和脂肪变性。

结果

这些疾病的正确鉴别率在88%至97%之间。组织学分级与超声参数之间的相关性较差。除一个例外情况外,在60%至99%的病例中可以区分任意两种疾病。不同参数在区分异常与正常扫描方面比在区分疾病方面表现更好。

结论

弥漫性肝病的检测可以基于与漫散射模型相关的超声参数,而疾病之间的鉴别需要从结构散射模型得出的额外参数。需要进一步研究以评估所设计方法的前瞻性潜力。

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