Journal
EUROPEAN JOURNAL OF RADIOLOGY
Volume 126, Issue -, Pages -Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.ejrad.2020.108931
Keywords
Pituitary adenoma; 7 Tesla MRI; Surgical planning; Neurosurgery; Tumor consistency
Funding
- NIH Icahn School of Medicine Capital Campaign, Translational and Molecular Imaging Institute [R01 CA202911]
- Department of Radiology, Icahn
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Purpose: Tumor consistency is a critical factor in surgical planning that influences ease of resection and risk of operative morbidity. The ability of MRI to predict tumor consistency tumor consistency has been shown to increase with higher field strength. The present study examined the utility of 7T (7T) MRI in predicting the tumor consistency of pituitary adenomas. Method: Fifteen patients with pituitary adenomas were preoperatively scanned at 7T MRI. Regions of interest were drawn around lesions for voxel-based signal intensity (SI) analysis. The percentage of tumor voxels with intensity higher than local gray matter was calculated on T2-weighted imaging. A single neurosurgeon rated tumor firmness for all patients. Histopathological analysis was performed. Radiological tumor features were correlated with intraoperative tumor consistency measurements and histopathology. Results: Tumors rated as 'soft' intraoperatively were hyperintense to local gray matter on T2-weighted imaging. 'Firm' tumors were hypointense to local gray matter. There was no significant difference in SI ratio between soft and firm tumors (p = 0.098). Soft tumors had a significantly higher percentage of tumor voxels greater than local gray matter compared to firm tumors (p = 0.035, Cohen's D-effect size = 1.208). Soft tumors had higher vascularity than firm tumors, p = 0.015. Conclusions: The signal and contrast advantage conferred by 7T MRI may provide valuable preoperative information regarding pituitary tumor consistency and physiology. The use of granular, voxel-based analysis maximizes the potential afforded by the high resolution of 7T imaging, and may be a valuable method of predicting consistency of pituitary adenoma.
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