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

Author:

Sbardella Emilia12,Joseph Robin N3,Jafar-Mohammadi Bahram1,Isidori Andrea M2,Cudlip Simon4,Grossman Ashley B1

Affiliation:

1. 1Department of EndocrinologyOxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, University of Oxford, Oxford, UK

2. 3Department of Experimental MedicineSapienza University of Rome, Rome, Italy

3. 2Department of NeuroradiologyJohn Radcliffe Hospital, University of Oxford, Oxford, UK

4. 4Department of Neurological SurgeryJohn Radcliffe Hospital, University of Oxford, Oxford, UK

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.

Publisher

Bioscientifica

Subject

Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism

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