Pilette C, Rousselet M C, Bedossa P, Chappard D, Oberti F, Rifflet H, Maïga M Y, Gallois Y, Calès P
Service d'Hépato-Gastroentérologie, CHU, Angers, France.
J Hepatol. 1998 Mar;28(3):439-46. doi: 10.1016/s0168-8278(98)80318-8.
BACKGROUND/AIMS: Liver fibrosis is mainly evaluated by qualitative histological examination. Although histological semi-quantitative scores and quantitative determination with image analysis are now possible, these methods have not been fully validated and compared. Therefore, we evaluated these two methods prospectively in 243 patients with chronic liver disease.
The semi-quantitative fibrosis score was evaluated by two independent pathologists, using the Knodell fibrosis score and a 6-grade score derived from the Metavir score; the area of fibrosis was measured by image analysis. The serum levels of hyaluronate, N-terminal peptide of procollagen III, laminin, transforming growth factor-beta1, alpha2-macroglobulin, apolipoprotein A1, PGA score and prothrombin index were measured.
There was a good correlation between the semi-quantitative fibrosis score and the area of fibrosis (r=0.84, p<10(-4)). Using multiple regression analysis, the semi-quantitative score was predicted by the 8 serum markers with R2=0.69 (R2=0.59 for hyaluronate at the 1st step) while the area of fibrosis was predicted with R2=0.79 (R2=0.76 for hyaluronate at the 1st step), and the Knodell fibrosis score was predicted with R2=0.65 (R2=0.31 for hyaluronate at the 1st step).
The area of fibrosis, as determined by image analysis, and the semi-quantitative score are well correlated. However, for serum markers the correlation is higher with the area of fibrosis than with the semi-quantitative score. Other characteristics such as reproducibility, rapidity, simplicity, adaptability, and exhaustiveness also favor image analysis.
背景/目的:肝纤维化主要通过定性组织学检查进行评估。尽管现在可以进行组织学半定量评分和图像分析定量测定,但这些方法尚未得到充分验证和比较。因此,我们对243例慢性肝病患者进行了这两种方法的前瞻性评估。
由两名独立病理学家使用Knodell纤维化评分和源自Metavir评分的6级评分评估半定量纤维化评分;通过图像分析测量纤维化面积。检测血清透明质酸、Ⅲ型前胶原N端肽、层粘连蛋白、转化生长因子-β1、α2-巨球蛋白、载脂蛋白A1、PGA评分和凝血酶原指数。
半定量纤维化评分与纤维化面积之间存在良好相关性(r = 0.84,p < 10⁻⁴)。使用多元回归分析,8种血清标志物可预测半定量评分,R² = 0.69(第一步时透明质酸的R² = 0.59),而纤维化面积的预测R² = 0.79(第一步时透明质酸的R² = 0.76),Knodell纤维化评分的预测R² = 0.65(第一步时透明质酸的R² = 0.31)。
图像分析测定的纤维化面积与半定量评分具有良好相关性。然而,对于血清标志物,与纤维化面积的相关性高于与半定量评分的相关性。其他特性如可重复性、快速性、简单性、适应性和详尽性也有利于图像分析。