ReviewDiagnostics (Basel, Switzerland)2026
Postoperative Pituitary MRI Findings in Acromegaly: A Pictorial Review.
Review in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
Acromegaly is almost always caused by a growth hormone-secreting pituitary adenoma, and long-term cure depends on complete surgical resection and accurate detection of residual or recurrent disease on surveillance imaging. This pictorial review focuses on the 3-6-month postoperative interval, when routine surveillance MRI is commonly performed and dynamic contrast-enhanced pituitary imaging can be correlated with IGF-1 and GH trends. We first reviewnormal pituitary anatomy and imaging characteristics, and the typical location and signal characteristics of somatotroph adenomas, as a baseline for postoperative interpretation. Using representative cases of surgically treated acromegaly, we then illustrate the key postoperative MRI appearances on high-resolution T1- and T2-weighted and dynamic contrast-enhanced sequences. Benign patterns include non-enhancing T1-hyperintense packing material, thin rim or septal enhancement around thesurgical cavity, sheet-like floor-based granulation tissue, and simple stalk deviation with nromal rangecaliber, often seen in biochemically cured patients. High-risk imaging patterns comprise nodular or thick enhancing tissue in the resection bed, new or progressive cavernous sinus soft tissue, stalk thickening with avid enhancement, and a spectrum of cavernous carotid abnormalities. For each pattern, we emphasize prevalence, typical signal and enhancement characteristics, and reported correlations with biochemical remission or persistence of disease. Finally, we propose a simple flowchart that integrates biochemical status with these reproducible imaging findings to stratify patients into expected postoperative change, probable residual/recurrent adenoma, vascular complication, or indeterminate category. This pattern-based biochemical-radiologic framework is intended to help radiologists and endocrinologists interpret mid-term postoperative pituitary MRI in acromegaly more confidently and consistently.
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