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New computerized staging method to analyze mink testicular tissue in environmental research
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Swedish Univ Agr Sci, Dept Anat Physiol & Biochem, Uppsala, Sweden..
Swedish Univ Agr Sci, Dept Anat Physiol & Biochem, Uppsala, Sweden..
Swedish Univ Agr Sci, Dept Anat Physiol & Biochem, Uppsala, Sweden..
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2017 (English)In: Environmental Toxicology and Chemistry, ISSN 0730-7268, E-ISSN 1552-8618, Vol. 36, no 1, p. 156-164Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 36, no 1, p. 156-164
Keywords [en]
Male reproductive toxicology, Endocrine disruptor, Computational toxicology, Histopathology, Method
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-315061DOI: 10.1002/etc.3517ISI: 000391029800021PubMedID: 27271123OAI: oai:DiVA.org:uu-315061DiVA, id: diva2:1078363
Available from: 2017-03-03 Created: 2017-03-03 Last updated: 2017-11-29Bibliographically approved

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Fakhrzadeh, AzadehLuengo Hendriks, Cris L.
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