An algorithmic approach to the diagnosis of NK and T cell lymphomas

Pathology. 2011 Dec;43(7):673-81. doi: 10.1097/PAT.0b013e32834bf5d2.

Abstract

Lymphomas of natural killer (NK) and T cell lineages are uncommon disorders, although as a group they are more usually encountered in Asia compared to Western populations. In part due to their rarity, diagnosis and classification of T cell lymphomas often pose a challenge to clinicians and pathologists. Although there are morphological features that are characteristic of certain subtypes, correct classification of NK and T cell neoplasms relies heavily on the immunophenotype. With few exceptions, non-random genetic alterations such as translocations are less often seen in T cell neoplasms, adding to the diagnostic difficulty. Given these limitations, pathological diagnosis and classification of NK and T cell lymphomas are anything but straightforward. This paper attempts to present a practical algorithmic approach for the general pathologist who is confronted with these neoplasms.

Publication types

  • Review

MeSH terms

  • Algorithms*
  • Diagnosis, Differential
  • Humans
  • Immunophenotyping
  • Killer Cells, Natural / pathology*
  • Lymphoma, T-Cell / diagnosis*