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Morphologic Features of Invasion in Lung Adenocarcinoma: Diagnostic Pitfalls.

Erik ThunnissenMasayuki NoguchiSabina BerezowskaMauro Giulio PapottiFederica FilipelloYuko MinamiHans Blaauwgeers
Published in: Advances in anatomic pathology (2024)
Reproducibility of pulmonary invasive adenocarcinoma diagnosis is poor when applying the World Health Organization (WHO) classification. In this article, we aimed first to explain by 3-dimensional morphology why simple pattern recognition induces pitfalls for the assessment of invasion as applied in the current WHO classification of pulmonary adenocarcinomas. The underlying iatrogenic-induced morphologic alterations in collapsed adenocarcinoma in situ overlap with criteria for invasive adenocarcinoma. Pitfalls in seemingly acinar and papillary carcinoma are addressed with additional cytokeratin 7 and elastin stains. In addition, we provide more stringent criteria for a better reproducible and likely generalizable classification.
Keyphrases
  • deep learning
  • machine learning
  • squamous cell carcinoma
  • pulmonary hypertension
  • locally advanced
  • cell migration
  • high glucose
  • oxidative stress
  • rectal cancer
  • squamous cell