Hepatic steatosis estimated microscopically versus digital image analysis

被引:35
|
作者
Hall, Andrew R. [1 ]
Dhillon, Amar P. [2 ]
Green, Anna C. [1 ]
Ferrell, Linda [3 ]
Crawford, James M. [4 ]
Alves, Venancio [5 ]
Balabaud, Charles [6 ]
Bhathal, Prithi [7 ]
Bioulac-Sage, Paulette [6 ,8 ]
Guido, Maria [9 ]
Hytiroglou, Prodromos [10 ]
Nakanuma, Yasuni [11 ]
Paradis, Valerie [12 ]
Quaglia, Alberto [13 ]
Snover, Dale [14 ]
Theise, Neil [15 ]
Thung, Swan [16 ]
Tsui, Wilson [17 ]
van Leeuwen, Dirk J. [18 ,19 ]
机构
[1] Royal Free London NHS Fdn Trust, Dept Cellular Pathol, London NW3 2QG, England
[2] UCL Med Sch, Dept Cellular Pathol, London, England
[3] Univ Calif San Francisco, Dept Anat Pathol, San Francisco, CA 94143 USA
[4] Hofstra North Shore LIJ Sch Med, Dept Pathol & Lab Med, Manhasset, NY USA
[5] Univ Sao Paulo, Sch Med, Dept Pathol, Sao Paulo, Brazil
[6] Univ Bordeaux 2, INSERM, U1053, F-33076 Bordeaux, France
[7] Univ Melbourne, Dept Pathol, Melbourne, Vic, Australia
[8] Hop Pellegrin, Dept Pathol, F-33076 Bordeaux, France
[9] Univ Padua, Dept Med DIMED, Sect Anat Pathol, Padua, Italy
[10] Aristotle Univ Thessaloniki, Sch Med, Dept Pathol, GR-54006 Thessaloniki, Greece
[11] Kanazawa Univ, Grad Sch Med, Dept Human Pathol, Kanazawa, Ishikawa, Japan
[12] Hop Beaujon, Anat Pathol Lab, Clichy, France
[13] Kings Coll Hosp London, Inst Liver Studies, London, England
[14] Fairview Southdale Hosp, Dept Pathol, Edina, MN USA
[15] Beth Israel Deaconess Med Ctr, Div Digest Dis, New York, NY 10003 USA
[16] Mt Sinai Sch Med, Dept Pathol, New York, NY USA
[17] Caritas Med Ctr, Dept Pathol, Hong Kong, Hong Kong, Peoples R China
[18] Onze Lieve Vrouw Hosp, Amsterdam, Netherlands
[19] Geisel Sch Med Dartmouth, Dept Gastroenterol & Hepatol, Hanover, NH USA
关键词
alcoholic liver disease; digital image analysis; estimated fat proportionate area; fat proportionate area; fat quantification; measured fat proportionate area; non-alcoholic fatty liver disease; steatosis; LIVER BIOPSIES; FAT-CONTENT; NONINVASIVE ASSESSMENT; RISK-FACTOR; SPECTROSCOPY;
D O I
10.1111/liv.12162
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Background & Aims Evaluate in liver biopsies: (i) interobserver agreement of estimates of fat proportionate area (eFPA) and steatosis grading, (ii) the relationship between steatosis grades and measured fat proportionate area (mFPA, digital image analysis), (iii) the accuracy of eFPA, (iv) to present images to aid standardization and accuracy of eFPA. Methods Twenty-one liver biopsies were selected from the Royal Free Hospital (RFH) histopathology archive to represent the full range of histopathological steatosis severity. As many non-overlapping fields of parenchyma as possible were photographed at x20 objective magnification from the biopsies (n=651). A total of 15 sample images were selected to represent the range of steatosis seen. Twelve hepatopathologists from 11 sites worldwide independently evaluated the sample images for steatosis grade [normal (none)/mild/moderate/severe], and eFPA (% area of liver parenchyma occupied by fat). Results The hepatopathologists had good linear correlation between eFPA and mFPA for sample images (r=0.924, P<.001) and excellent concordance (kappa=0.91, P<0.001). Interobserver concordance of steatosis grade showed substantial agreement' (kappa=0.64). There was significant difference between eFPA and mFPA in the sample images for mild, moderate and severe steatosis (P=0.024, P<0.001, P<0.001 respectively): the observers consistently over-estimated the eFPA. Conclusion Hepatopathologists showed excellent' interobserver agreement in eFPA and substantial' agreement in assigning steatosis grade (precision was high). However, compared with mFPA, eFPA was inaccurate. eFPA systematically exceeds mFPA; generally the overestimation increases with severity of steatosis. Considering that non-invasive technologies for estimating liver fat utilize histopathology as reference, such assessments would benefit from quantitative validation of visually estimated microscopic liver fat percentages.
引用
收藏
页码:926 / 935
页数:10
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