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Spoiled Gradient Recalled Acquisition in the Steady State Technique Is Superior to Conventional Postcontrast Spin Echo Technique for Magnetic Resonance Imaging Detection of Adrenocorticotropin-Secreting Pituitary Tumors

Recent studies show that the standard T1-weighted spin echo (SE) technique for magnetic resonance imaging (MRI) fails to identify 40% of corticotrope adenomas. We hypothesized that the superior soft tissue contrast and thinner sections obtained with spoiled gradient recalled acquisition in the stead...

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Bibliographic Details
Published in:The journal of clinical endocrinology and metabolism 2003-04, Vol.88 (4), p.1565-1569
Main Authors: Patronas, Nicholas, Bulakbasi, Nail, Stratakis, Constantine A., Lafferty, Antony, Oldfield, Edward H., Doppman, John, Nieman, Lynnette K.
Format: Article
Language:English
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Summary:Recent studies show that the standard T1-weighted spin echo (SE) technique for magnetic resonance imaging (MRI) fails to identify 40% of corticotrope adenomas. We hypothesized that the superior soft tissue contrast and thinner sections obtained with spoiled gradient recalled acquisition in the steady state (SPGR) would improve tumor detection. We compared the performance of SE and SPGR MRI in 50 patients (age, 7–67 yr) with surgically confirmed corticotrope adenoma. Coronal SE and SPGR MR images were obtained before and after administration of gadolinium contrast, using a 1.5 T scanner. SE scans were obtained over 5.1 min (12-cm field of view; interleaved sections, 3 mm). SPGR scans were obtained over 3.45 min (12- or 18-cm field of view, contiguous 1- or 2-mm slices). The MRI interpretations of two radiologists were compared with findings at surgical resection. Compared with SE for detection of tumor, SPGR had superior sensitivity (80%; confidence interval, 68–91; vs. 49%; confidence interval, 34–63%), but a higher false positive rate (2% vs. 4%). We recommend the addition of SPGR to SE sequences using pituitary-specific technical parameters to improve the MRI detection of ACTH-secreting pituitary tumors.
ISSN:0021-972X
1945-7197
DOI:10.1210/jc.2002-021438