Literature DB >> 20884817

Choice of morphometric methods and consequences in the regulatory environment.

John T Boyce1, Rogely Waite Boyce, Hans Jorgen Gundersen.   

Abstract

In certain cases, quantitative tissue structural data derived from tissue sections may be required to make critical decisions in the drug development or risk assessment process. Most frequently, these questions center on test article-related effects on cell number. In this opinion article, the limitations of estimating cell number by standard cell or nuclear profile counts from sections/blocks collected for routine histopathology are discussed from both a scientific and regulatory perspective and contrasted with the robust, sensitive, statistically based methods of design-based stereology. Specific existing industry practices are reviewed. Recent advances in stereological theory, software, hardware, and automated immunohistochemical staining now make it feasible to implement unbiased stereological methods to assess test article-related effects on cell number in a regulatory toxicology setting. These design-based stereological methods for counting cells are recommended when the quantification of small changes in cell number is critical to the risk assessment or decision-making process. These methods provide levels of sensitivity and statistical guarantees of accuracy that no other currently available tissue section-based methodology can provide.

Mesh:

Year:  2010        PMID: 20884817     DOI: 10.1177/0192623310385141

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  3 in total

Review 1.  Bias in image analysis and its solution: unbiased stereology.

Authors:  Danielle L Brown
Journal:  J Toxicol Pathol       Date:  2017-03-04       Impact factor: 1.628

2.  Comment on: Butler et al. A critical analysis of the clinical use of incretin-based therapies: are the GLP-1 therapies safe? Diabetes Care 2013;36:2118-2125.

Authors:  Lotte Bjerre Knudsen; Niels C Berg Nyborg; Claus Bo Svendsen; Niels Vrang; Alan C Moses
Journal:  Diabetes Care       Date:  2013-12       Impact factor: 19.112

Review 3.  Assessing particle and fiber toxicology in the respiratory system: the stereology toolbox.

Authors:  Christina Brandenberger; Matthias Ochs; Christian Mühlfeld
Journal:  Part Fibre Toxicol       Date:  2015-10-31       Impact factor: 9.400

  3 in total

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