International Harmonization of Nomenclature and Diagnostic Criteria (INHAND) progress to date and future plans

Charlotte M Keenan1, Julia F Baker2, Alys E Bradley3

  • 1C.M. Keenan ToxPath Consulting, Doylestown, PA, USA.

Insights

The International Harmonization of Nomenclature and Diagnostic Criteria for Lesions in Rats and Mice (INHAND) project provides standardized terminology for rodent toxicity studies. This initiative aims for wider acceptance and integration into regulatory data submissions.

Area of Science:

  • Toxicologic Pathology
  • Comparative Pathology
  • Regulatory Science

Background:

  • The International Harmonization of Nomenclature and Diagnostic Criteria for Lesions in Rats and Mice (INHAND) project has been active since 2005.
  • A Global Editorial Steering Committee (GESC) oversees project objectives, with Organ Working Groups (OWGs) developing harmonized terminology.
  • Experts from North America, Europe, and Japan contribute to the OWGs.

Purpose of the Study:

  • To provide an update on the progress of the INHAND project.
  • To highlight the development and publication of harmonized nomenclature for rodent lesions.
  • To discuss the integration of INHAND terminology into regulatory data standards.

Main Methods:

  • Development of standardized nomenclature by Organ Working Groups (OWGs).
  • Publication of guides with diagnostic criteria, photomicrographs, and pathogenesis information.
  • Collaboration with regulatory bodies and industry for terminology adoption.

Main Results:

  • Nine organ systems have published INHAND nomenclature, with more in progress.
  • INHAND guides are available as supplements and on a dedicated website.
  • Discussions held with FDA CDER, CDISC, and NCI EVS for incorporating INHAND into SEND submissions.

Conclusions:

  • INHAND nomenclature is gaining traction for use in regulatory submissions.
  • The project's collaborative approach ensures broad acceptance among toxicologists and IT specialists.
  • Continued progress in harmonizing terminology will enhance consistency in nonclinical data.

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