Sevrain David, Dubreuil Matthieu, Dolman Grace Elizabeth, Zaitoun Abed, Irving William, Guha Indra Neil, Odin Christophe, Le Grand Yann
University of Brest, EA938 Laboratoire de Spectrométrie et Optique Laser, SFR Scinbios, 6 avenue le Gorgeu CS 93837, Brest Cedex 3, 29238, France ; IMNC - UMR8165 Campus d'Orsay, Bât 440, 91405 Orsay Cedex, France.
University of Brest, EA938 Laboratoire de Spectrométrie et Optique Laser, SFR Scinbios, 6 avenue le Gorgeu CS 93837, Brest Cedex 3, 29238, France.
Biomed Opt Express. 2015 Mar 11;6(4):1209-18. doi: 10.1364/BOE.6.001209. eCollection 2015 Apr 1.
In this paper we analyze a fibrosis scoring method based on measurement of the fibrillar collagen area from second harmonic generation (SHG) microscopy images of unstained histological slices from human liver biopsies. The study is conducted on a cohort of one hundred chronic hepatitis C patients with intermediate to strong Metavir and Ishak stages of liver fibrosis. We highlight a key parameter of our scoring method to discriminate between high and low fibrosis stages. Moreover, according to the intensity histograms of the SHG images and simple mathematical arguments, we show that our area-based method is equivalent to an intensity-based method, despite saturation of the images. Finally we propose an improvement of our scoring method using very simple image processing tools.
在本文中，我们分析了一种纤维化评分方法，该方法基于对来自人类肝脏活检未染色组织切片的二次谐波产生（SHG）显微镜图像中纤维状胶原面积的测量。该研究针对一组100名慢性丙型肝炎患者进行，这些患者处于肝纤维化的中度至重度Metavir和Ishak阶段。我们强调了评分方法中用于区分高纤维化阶段和低纤维化阶段的关键参数。此外，根据SHG图像的强度直方图和简单的数学论证，我们表明，尽管图像存在饱和度，但我们基于面积的方法等同于基于强度的方法。最后，我们提出使用非常简单的图像处理工具对评分方法进行改进。
