An algorithmic approach to the diagnosis of NK and T cell lymphomas
| Autor: | K.L. Soo, Soo Yong Tan, Leonard Tan, D. Shustik, L.Z. Mohd Yusoff |
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| Rok vydání: | 2011 |
| Předmět: |
T cell
Biology Lymphoma T-Cell medicine.disease medicine.disease_cause Epstein–Barr virus Peripheral T-cell lymphoma Immunophenotyping Pathology and Forensic Medicine Diagnosis Differential Killer Cells Natural medicine.anatomical_structure Immunology medicine Humans Enteropathy-associated T-cell lymphoma T-cell lymphoma Anaplastic large-cell lymphoma Pathological Algorithms |
| Zdroj: | Pathology. 43:673-681 |
| ISSN: | 0031-3025 |
| DOI: | 10.1097/pat.0b013e32834bf5d2 |
| Popis: | Summary 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 immuno- phenotype. 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. |
| Databáze: | OpenAIRE |
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