Improving the radiological prediction of surgical resection of nonfunctioning pituitary adenomas.

J Endocrinol Invest

Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil.

Published: November 2024

Purpose: Nonfunctioning pituitary adenomas (NFPAs) are benign tumors growing in the sellar region. Total surgical excision of the lesion is recommended as the preferred treatment choice with preservation of adjacent structures. The objective is to establish a radiological score to predict the feasibility of NFPA total surgical excision.

Methods: Patients with treatment-naïve NFPA who underwent a transsphenoidal approach and sellar magnetic resonance imaging (MRI) in the preoperative period and 3 months after surgery were included. Data on age, sex, tumor diameter, extrasellar extension, postoperative cure rates, and hormone and transcription factor expression were collected. A combined score was proposed based on Knosp and SIPAP classifications. We proposed 3 classification groups depending on the tumoral extension to the suprasellar, infrasellar, anterior and posterior directions of the sellar region.

Results: A total of 164 patients were included in the study, and 85 (52%) were female. Total excision was obtained in 46% (n = 75) of the patients. The majority of tumors were of gonadotrophic lineage (59%), followed by corticotrophic (17%) and other less common types. Largest tumor diameter was 6.8 cm [mean 3.8 cm (± 1.1 cm)]. From the established groups, 10 patients were classified in Group I, of whom 8 (80%) patients underwent total excision, 115 patients were classified in Group II, of whom 58 (50%) underwent complete excision and 39 patients in Group III, of whom 9 (23%) underwent complete excision (p value < 0.001).

Conclusion: The newly proposed score helps to determine the feasibility of total NFPA excision, allowing for better surgical planning and predictions of postoperative outcomes.

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http://dx.doi.org/10.1007/s40618-024-02479-zDOI Listing

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