کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5561295 1562121 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Graphical display of histopathology data from toxicology studies for drug discovery and development: An industry perspective
ترجمه فارسی عنوان
نمایش گرافیکی داده های هیستوپاتولوژی از مطالعات سم شناسی برای کشف و توسعه دارو: دیدگاه صنعت
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست بهداشت، سم شناسی و جهش زایی
چکیده انگلیسی


- Incorporation of the SEND standard provides a platform for visualization tools.
- Graphics can summarize and communicate histopathology data.
- Graphics can aggregate and display data from a single or multiple studies.
- Pattern-recognition or hypothesis generation can be enabled with this technology.

Histopathology data comprise a critical component of pharmaceutical toxicology studies and are typically presented as finding incidence counts and severity scores per organ, and tabulated on multiple pages which can be challenging for review and aggregation of results. However, the SEND (Standard for Exchange of Nonclinical Data) standard provides a means for collecting and managing histopathology data in a uniform fashion which can allow informatics systems to archive, display and analyze data in novel ways. Various software applications have become available to convert histopathology data into graphical displays for analyses. A subgroup of the FDA-PhUSE Nonclinical Working Group conducted intra-industry surveys regarding the use of graphical displays of histopathology data. Visual cues, use-cases, the value of cross-domain and cross-study visualizations, and limitations were topics for discussion in the context of the surveys. The subgroup came to the following conclusions. Graphical displays appear advantageous as a communication tool to both pathologists and non-pathologists, and provide an efficient means for communicating pathology findings to project teams. Graphics can support hypothesis-generation which could include cross-domain interactive visualizations and/-or aggregating large datasets from multiple studies to observe and/or display patterns and trends. Incorporation of the SEND standard will provide a platform by which visualization tools will be able to aggregate, select and display information from complex and disparate datasets.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Regulatory Toxicology and Pharmacology - Volume 82, December 2016, Pages 167-172
نویسندگان
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