Pituitary stalk thickening: the role of an innovative MRI imaging analysis which may assist in determining clinical management.

Eur J Endocrinol

Department of EndocrinologyOxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, University of Oxford, Oxford, UK

Published: October 2016

AI Article Synopsis

  • Researchers studied 36 patients with thickened pituitary stalks to understand the characteristics of related diseases, focusing on clinical, biochemical, and MRI features.
  • The study confirmed specific diagnoses in 22 cases, predominantly identifying neoplastic (tumor-related) and inflammatory conditions, with common symptoms like diabetes insipidus and headaches.
  • Advanced MRI techniques demonstrated strong correlations between tumor pathology and stalk texture, potentially allowing for more accurate differentiation between neoplastic and non-neoplastic conditions, thus improving treatment guidance.

Article Abstract

Context: Disease processes that affect the pituitary stalk are broad; the diagnosis and management of these lesions remains unclear.

Objective: The aim was to assess the clinical, biochemical and histopathological characteristics of pituitary stalk lesions and their association with specific MRI features in order to provide diagnostic and prognostic guidance.

Design And Methods: Retrospective observational study of 36 patients (mean age 37years, range: 4-83) with pituitary stalk thickening evaluated at a university hospital in Oxford, UK, 2007-2015. We reviewed morphology, signal intensity, enhancement and texture appearance at MRI (evaluated with the ImageJ programme), along with clinical, biochemical, histopathological and long-term follow-up data.

Results: Diagnosis was considered certain for 22 patients: 46% neoplastic, 32% inflammatory and 22% congenital lesions. In the remaining 14 patients, a diagnosis of a non-neoplastic disorder was assumed on the basis of long-term follow-up (mean 41.3months, range: 12-84). Diabetes insipidus and headache were common features in 47 and 42% at presentation, with secondary hypogonadism the most frequent anterior pituitary defect. Neoplasia was suggested on size criteria or progression with 30% sensitivity. However, textural analysis of MRI scans revealed a significant correlation between the tumour pathology and pituitary stalk heterogeneity in pre- and post-gadolinium T1-weighted images (sensitivity: 88.9%, specificity: 91.7%).

Conclusions: New techniques of MRI imaging analysis may identify clinically significant neoplastic lesions, thus directing future therapy. We propose possible textural heterogeneity criteria of the pituitary stalk on pre- and post-gadolinium T1 images with the aim of differentiating between neoplastic and non-neoplastic lesions with a high degree of accuracy.

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Source
http://dx.doi.org/10.1530/EJE-16-0455DOI Listing

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