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Real-life clinical impact of a five-tiered classification of pituitary tumors.

Nicolas SahakianRomain AppayNoémie ResseguierThomas GraillonCécilia PiazzolaCécilia LaureDominique Figarella-BrangerJean RégisCastinetti FredericThierry BrueHenry DufourThomas Cuny
Published in: European journal of endocrinology (2022)
This is the first study to assess, on a cohort of 607 well-characterized patients, the real-life therapeutic impact of the five-tiered clinicopathological classification of pituitary tumors. First, we validate that pituitary tumor grades predict the evolutionary risk of the tumor, with a significant higher risk of progression/recurrence in invasive and/or proliferative tumors (mean follow-up: 47 ± 30 months, median: 38 months). Moreover, our study provides evidence that patients with proliferative tumors have a higher risk to be retreated after primary surgery and point toward the fact that radiotherapy can successfully control tumor growth in case of progression or recurrence. Our findings advocate for a personalized therapeutic approach in clinically aggressive pituitary tumors.
Keyphrases
  • end stage renal disease
  • machine learning
  • growth hormone
  • deep learning
  • chronic kidney disease
  • minimally invasive
  • early stage
  • radiation therapy
  • prognostic factors
  • coronary artery disease
  • locally advanced