Issue release date: 12.11.2024
2Istanbul Training and Research Hospital, Department of Radiology, Istanbul, Turkey
3Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Department of Endocrinology and Metabolism, Istanbul, Turkey
4Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Department of Pathology, Istanbul, Turkey
5Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Department of Neurosurgery, Istanbul, Turkey DOI : 10.5137/1019-5149.JTN.26003-19.1 AIM: To investigate the added value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) sequences in predicting somatostatin analog (SSA) responses in patients with acromegaly.
MATERIAL and METHODS:This study included 55 active acromegaly patients with macroadenoma. Mean and maximum signal intensities were measured using region of interests in T2-weighted (T2W) and DCE-MRI sequences. Semi-quantitative values indicating relative signal intensity ratios and contrast-enhanced kinetics were obtained. Bivariate and multivariate analyses were used to determine whether the pathological granulation pattern of adenomas (dense versus others) was associated with patientsâ demographic variables and semi-quantitative MRI parameters.
RESULTS: Three parameters formed the logistic model, Ï2(3)=23.278, p<0.0001: age (odds ratio [OR]=1.08), hypointensity of adenomas in T2W images (OR=15.45), and high maximum enhancement ratio in the second interval (ER2max) values (OR=2195.74). The overall accuracy of this model was 85.45% with an area under the curve of 0.880. Sensitivity, specificity, positive predictive, and negative predictive values of the model were 68.75%, 92.31%, 78.58%, and 87.8%, respectively.
CONCLUSION: In patients with newly diagnosed acromegaly, the model created based on the relative T2W signal intensity, patientâs age, and ER2max parameter from DCE-MRI sequences might be used to more accurately predict SSA responses.
Keywords : Acromegaly, Pituitary gland, Adenoma, Somatostatin, Magnetic resonance imaging