Validation of digital pathology for primary histopathological diagnosis of routine, inflammatory dermatopathology cases

Jonathan J. Lee, Jaroslaw Jedrych, Liron Pantanowitz, Jonhan Ho

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Background: Digital pathology (DP) systems have been validated for routine, histopathological diagnosis by several investigators. The diagnostic matter in previous studies is composed mostly of neoplasms. However, in dermatopathology, inflammatory diseases constitute a greater proportion of cases and have been underrepresented in this literature. Herein, we report the results of a prospective, DP side-by-side validation study comparing the histologic assessment of routine, clinical inflammatory dermatopathology cases by whole slide imaging (WSI) and traditional light microscopy (LM). Methods: Glass slides were digitized at ·40 magnification. Two dermatopathologists rendered diagnoses digitally and immediately thereafter by light microscopy. Additional recuts, special, and immunohistochemical stains obtained during workup were scanned and evaluated similarly. Morphological features used to make diagnoses and appreciable differences in histology were recorded. Results: A total of 332 slides representing 93 cases were examined, including 157 hematoxylin & eosin sections, 132 special stains, and 43 immunohistochemical slides. In total, 333 microscopic features important for rendering inflammatory diagnoses were identified. Two discrepant instances were noted wherein Gram-positive cocci were identified using traditional microscopy but not by DP (·40 scan). Eosinophils, melanin granules, and mucin were identified on both modalities but were noted to have different appearances. Conclusions: Our findings indicate that DP is sufficient for primary diagnosis in inflammatory dermatopathology. Higher magnification scanning may be required to identify submicron features, such as microorganisms. Subtle differences in image quality between these 2 modalities may contribute to varied histologic interpretations of which pathologists should be aware when validating clinical DP systems.

Original languageEnglish (US)
Pages (from-to)17-23
Number of pages7
JournalAmerican Journal of Dermatopathology
Volume40
Issue number1
DOIs
StatePublished - Jan 2018
Externally publishedYes

Keywords

  • Dermatitis
  • Digital pathology
  • Inflammatory dermatopathology
  • Validation study
  • Whole slide imaging

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Dermatology

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