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数字量化技术的进展提高了对慢性丙型肝炎中轻度和重度肝纤维化的鉴别能力。

Advances in digital quantification technique enhance discrimination between mild and advanced liver fibrosis in chronic hepatitis C.

作者信息

Lazzarini Amy L, Levine Robert A, Ploutz-Snyder Robert J, Sanderson Schuyler O

机构信息

Department of Medicine, State University of New York, Upstate Medical University, Syracuse, NY 13210, USA.

出版信息

Liver Int. 2005 Dec;25(6):1142-9. doi: 10.1111/j.1478-3231.2005.01155.x.

Abstract

BACKGROUND AND AIMS

The necessity of liver biopsy for staging fibrosis and its quantification in patients with chronic hepatitis C (CHC) remains controversial. Semiquantitative scoring of fibrosis is considered more subjective and less objective than digital quantification by image analysis. However, measurement of fibrosis using digital image analysis is thought to be less reliable in determining early stage fibrosis as compared with advanced fibrosis or cirrhosis. Our aims were to correlate all Ishak stages of fibrosis (0-6) with fibrosis percentage (%) using computerized digital image analysis, and thereby seek to improve discrimination between varying levels of liver fibrosis.

METHODS

Fibrosis % data were obtained by image analysis on 164 trichrome-stained liver biopsies from untreated patients with CHC, representing all Ishak stages of fibrosis.

RESULTS

Digital analysis of fibrosis % was highly correlated with Ishak scores of fibrosis (Kendall's tau-beta=0.86, P<0.001). Receiver-operator characteristic curves showed reliable discriminative capability of our digital image measurement of fibrosis when compared with semiquantitative assessments of fibrosis. Excellent interobserver reliability was found.

CONCLUSIONS

Recent advances in digital quantification of fibrosis have resulted in improved discrimination between the varying stages of liver fibrosis, including mild fibrosis. This method is reproducible, can detect early as well as advanced fibrosis or cirrhosis, may prove to be the best assessment of mild fibrosis, and may be more precise than semiquantitative estimation of changes for monitoring fibrosis progression or regression during clinical therapeutic trials.

摘要

背景与目的

对于慢性丙型肝炎(CHC)患者,肝活检用于纤维化分期及其定量的必要性仍存在争议。与通过图像分析进行数字定量相比,纤维化的半定量评分被认为主观性更强、客观性更弱。然而,与晚期纤维化或肝硬化相比,使用数字图像分析测量纤维化在确定早期纤维化时被认为可靠性较低。我们的目的是使用计算机数字图像分析将所有Ishak纤维化分期(0 - 6期)与纤维化百分比(%)进行关联,从而提高对不同程度肝纤维化的鉴别能力。

方法

通过图像分析从164例未经治疗的CHC患者的三色染色肝活检标本中获取纤维化%数据,这些标本代表了所有Ishak纤维化分期。

结果

纤维化%的数字分析与Ishak纤维化评分高度相关(肯德尔tau - β = 0.86,P < 0.001)。与纤维化的半定量评估相比,受试者工作特征曲线显示我们对纤维化的数字图像测量具有可靠的鉴别能力。观察者间可靠性极佳。

结论

纤维化数字定量的最新进展提高了对不同阶段肝纤维化的鉴别能力,包括轻度纤维化。该方法具有可重复性,能够检测早期以及晚期纤维化或肝硬化,可能是对轻度纤维化的最佳评估,并且在临床治疗试验中监测纤维化进展或消退时,可能比变化的半定量估计更精确。

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