J Neurol Surg B Skull Base 2015; 76(05): 340-343
DOI: 10.1055/s-0035-1549005
Original Article
Georg Thieme Verlag KG Stuttgart · New York

Prediction of Consistency of Pituitary Adenomas by Magnetic Resonance Imaging

Kyle A. Smith
1   Department of Neurosurgery, University of Kansas Medical Center, Kansas City, Kansas, United States
,
John D. Leever
2   Department of Radiology, University of Kansas Medical Center, Kansas City, Kansas, United States
,
Roukoz B. Chamoun
1   Department of Neurosurgery, University of Kansas Medical Center, Kansas City, Kansas, United States
› Author Affiliations
Further Information

Publication History

30 December 2014

02 February 2015

Publication Date:
27 April 2015 (online)

Abstract

Objective Pituitary adenomas are typically soft. The prevalence of fibrous adenomas is ∼ 5 to 13%. Firm tumors are difficult to remove by curettage or suction. Predicting fibrous adenomas by magnetic resonance (MR) imaging is typically difficult and unreliable. We propose a new prediction method based on MR T2-sequence intensity.

Methods The MRIs of 36 consecutive patients with nonsecreting macroadenomas were evaluated preoperatively by a blinded radiologist. Using an MR T2-weighted sequence, regions of interest were sampled from the adenoma and cerebellar peduncle, and the ratio was calculated. Intraoperatively, tumors were graded prospectively for their consistency by the operating surgeon.

Results There were 28 soft and 6 fibrous tumors. Unpaired t test for these ratios was found to be statistically significant (p < 0.0240; 95% confidence interval, −0.8229 to −0.06207). Mean values for soft tumors were found to be 1.918 (standard error of the mean [SEM] = 0.08212); firm tumors, 1.475 (SEM = 0.1179). Soft tumors were associated with ratios > 1.5 (sensitivity 100%; specificity 66.7%); firm tumors were associated with ratios < 1.8 (sensitivity 100%; specificity 42.9%).

Conclusion Fibrous adenomas are typically diagnosed intraoperatively. However, their resection can be technically challenging. Using T2 intensity ratios on routine preoperative MRI allows identification of these challenging cases. The surgeon can then be better prepared for the surgical resection.

Notes

This article was scheduled for oral presentation at the North American Skull Base Society February 2015 conference.


 
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