New computerized staging method to analyze mink testicular tissue in environmental research.
Histopathology of testicular tissue is considered to be the most sensitive tool to detect adverse effects on male reproduction. When assessing tissue damage, seminiferous epithelium needs to be classified into different stages to detect certain cell damages; but stage identification is a demanding task. The authors present a method to identify the 12 stages in mink testicular tissue. The staging system uses Gata-4 immunohistochemistry to visualize acrosome development and proved to be both intraobserver-reproducible and interobserver-reproducible with a substantial agreement of 83.6% (kappa = 0.81) and 70.5% (kappa = 0.67), respectively. To further advance and objectify this method, they present a computerized staging system that identifies these 12 stages. This program has an agreement of 52.8% (kappa 0.47) with the consensus staging by 2 investigators. The authors propose a pooling of the stages into 5 groups based on morphology, stage transition, and toxicologically important endpoints. The computerized program then reached a substantial agreement of 76.7% (kappa = 0.69). The computerized staging tool uses local ternary patterns to describe the texture of the tubules and a support vector machine classifier to learn which textures correspond to which stages. The results have the potential to modernize the tedious staging process required in toxicological evaluation of testicular tissue, especially if combined with whole-slide imaging and automated tubular segmentation. Environ Toxicol Chem 2017;36:156-164. © 2016 The Authors. Environmental Toxicology and Chemistry Published by Wiley Periodicals, Inc. on behalf of SETAC.
Centre for Image Analysis, Uppsala University, Uppsala, Sweden.
Azadeh
A
Fakhrzadeh
Department of Anatomy, Physiology, and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Ellinor
E
Spörndly-Nees
Department of Anatomy, Physiology, and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Elisabeth
E
Ekstedt
Department of Anatomy, Physiology, and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Lena
L
Holm
Centre for Image Analysis, Uppsala University, Uppsala, Sweden.
Cris L
CL
Luengo Hendriks
D000177:Acrosome / Q000187:drug effects* / Q000473:pathology; D000818:Animals; D054750:Ecotoxicology / Q000379:methods*; D052244:Endocrine Disruptors / Q000633:toxicity; D004785:Environmental Pollutants / Q000633:toxicity; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007150:Immunohistochemistry; D008297:Male; D008907:Mink; D015203:Reproducibility of Results; D012098:Reproduction / Q000187:drug effects*; D012680:Sensitivity and Specificity; D013737:Testis / Q000187:drug effects* / Q000473:pathology
D052244:Endocrine Disruptors; D004785:Environmental Pollutants
Computational toxicology; Endocrine disruptor; Histopathology; Male reproductive toxicology; Method