Timmermans, Joran H.J. (2022) Predictors for aggressive behaviour in Pituitary Neuroendocrine Tumours (PitNETs) A retrospective cohort study. thesis, Medicine.
Full text available on request.Abstract
Introduction Pituitary neuroendocrine tumours (PitNETs) are intracranial tumours with a prevalence of 15-20% of the general population, whereof a small subset comes to clinical attention. Most PitNETs appear to be benign and a small percentage occurs to be aggressive. Currently, examples like the Trouillas classification and the WHO 2017 guidelines provide some guidance in predicting this behaviour, but a complete predictive model is still unavailable. This study aims to validate the prognostic value of the Trouillas classification as well as to establish other prognostic variables. The outcomes assessed were recurrence and aggressive behaviour. Methods This retrospective cohort study included patients who have been treated in the UMCG between January 2008 and July 2019. Included patients had complete histopathological and radiology follow-up data. For this study, the clinical, radiological and histopathological data of these patients have been combined in a database. This data was assessed for correlations between Trouillas grade, Ki-67 index, age at diagnosis, sex, subtype, tumour size and the main outcomes. Results Analysis of the 185 included patients, showed a significant correlation between aggressive behaviour and the Trouillas classification (p=0,001), and the proliferation marker Ki-67 (p=0,003). For recurrence, the only variable which correlated significantly was the age at diagnosis (p=0,002). Other significant correlations are not found. Conclusion To conclude this study further validated the use of the Trouillas classification as well as the Ki-67 index for identifying aggressive behaviour in PitNETs although other prognostic markers could not be identified.
| Item Type: | Thesis (UNSPECIFIED) |
|---|---|
| Supervisor name: | Kuijlen, Dr J.M.A. |
| Faculty: | Medical Sciences |
| Date Deposited: | 10 Jul 2023 12:58 |
| Last Modified: | 10 Jul 2023 12:58 |
| URI: | https://umcg.studenttheses.ub.rug.nl/id/eprint/3578 |
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