title: An algorithmic approach to the diagnosis of NK and T cell lymphomas.
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.
authors: Department of Pathology, Singapore General Hospital, Singapore.
authors: K L
authors: KL
authors: Soo
authors: D
authors: D
authors: Shustik
authors: L Z Mohd
authors: LZ
authors: Yusoff
authors: L
authors: L
authors: Tan
authors: S Y
authors: SY
authors: Tan
mesh_terms: D000465:Algorithms; D003937:Diagnosis, Differential; D006801:Humans; D016130:Immunophenotyping; D007694:Killer Cells, Natural / Q000473:pathology*; D016399:Lymphoma, T-Cell / Q000175:diagnosis*