Added Value of Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Predicting Response to Somatostatin Analogs in Acromegaly Patients.


Journal

Turkish neurosurgery
ISSN: 2651-5032
Titre abrégé: Turk Neurosurg
Pays: Turkey
ID NLM: 9423821

Informations de publication

Date de publication:
2019
Historique:
pubmed: 23 3 2019
medline: 18 2 2020
entrez: 23 3 2019
Statut: ppublish

Résumé

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. 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 patients' demographic variables and semi-quantitative MRI parameters. Three parameters formed the logistic model, x2(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. In patients with newly diagnosed acromegaly, the model created based on the relative T2W signal intensity, patient's age, and ER2 < submax parameter from DCE-MRI sequences might be used to more accurately predict SSA responses.

Identifiants

pubmed: 30900736
doi: 10.5137/1019-5149.JTN.26003-19.1
doi:

Substances chimiques

Contrast Media 0
Human Growth Hormone 12629-01-5
Somatostatin 51110-01-1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

835-842

Auteurs

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Classifications MeSH