Transcription factor-based classification of pituitary adenomas / PitNETs: a comparative analysis and clinical implications across WHO 2004, 2017 and 2022 in 921 cases
Abstract The WHO classifications of 2017 and 2022 recommend the use of pituitary transcription factors PIT-1, T-PIT and SF-1 as well as GATA3 and ERα for histopathological diagnosis. The aim of this study is to demonstrate their diagnostic impact in a large retrospective cohort. 921 PitNETs/PAs diag...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
BMC
2025-06-01
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| Rangatū: | Acta Neuropathologica Communications |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1186/s40478-025-02050-8 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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