Literature DB >> 28402131

Can Imaging Predict Subclinical Cortisol Secretion in Patients With Adrenal Adenomas? A CT Predictive Score.

Cristina Mosconi1, Valentina Vicennati2, Dimitris Papadopoulos1, Guido Di Dalmazi2,3, Antonio M Morselli-Labate4, Rita Golfieri1, Renato Pasquali2.   

Abstract

OBJECTIVE: The aim of this study is to determine whether any correlation between CT findings and functional parameters exists to predict subclinical glucocorticoid secretion.
MATERIALS AND METHODS: This is a retrospective database study of 55 patients with incidentally discovered adenomas, investigated through CT with an adrenal protocol, assessing diameters and attenuation values on the unenhanced and contrast-enhanced phases. Patients underwent blood cortisol and corticotropin evaluation and overnight dexamethasone suppression test (DST), in accordance with clinical recommendations. Cortisol levels higher than 50 nmol/L after DST identified subclinical cortisol secretion. We identified 28 subjects with lipid-rich nonsecreting adenomas, nine with lipid-rich secreting adenomas, 11 with lipid-poor nonsecreting adenomas, and seven with lipid-poor secreting adenoma.
RESULTS: Cortisol levels after DST were significantly and positively related to mass diameters. At univariate analysis, maximum and minimum diameters and attenuation in the delayed phase were significantly related to the presence of secreting or nonsecreting adenoma; at multivariate analysis, only the minimum diameter and the attenuation in the venous phase entered the stepwise logistic regression. Similarly, minimum diameter and attenuation in the venous phase emerged also at the multivariate stepwise regression between radiologic parameters and cortisol levels after DST. The formula of the radiologic score computed by using the coefficients of the multivariate regression was as follows: (0.1914 × minimum diameter) + (0.0308 × enhanced attenuation). The diagnostic accuracy of this discriminatory score in differentiating secreting from nonsecreting adenomas was 84.9%, the sensitivity was 81.3%, and the specificity was 87.2%. Adenomas with scores greater than 7.59 were considered as secreting adenomas, and adenomas with scores less than 7.36 were considered as nonsecreting adenomas.
CONCLUSION: This study shows that imaging parameters can predict subclinical cortisol hypersecretion in patients with adrenal adenomas.

Entities:  

Keywords:  CT; CT predictive score; adrenal adenomas; adrenal imaging; hypercortisolism

Mesh:

Substances:

Year:  2017        PMID: 28402131     DOI: 10.2214/AJR.16.16965

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  5 in total

1.  Discriminative Capacity of CT Volumetry to Identify Autonomous Cortisol Secretion in Incidental Adrenal Adenomas.

Authors:  Roberto Olmos; Nicolás Mertens; Anand Vaidya; Thomas Uslar; Paula Fernandez; Francisco J Guarda; Álvaro Zúñiga; Ignacio San Francisco; Alvaro Huete; René Baudrand
Journal:  J Clin Endocrinol Metab       Date:  2022-04-19       Impact factor: 6.134

2.  Can abdominal CT features predict autonomous cortisol secretion in patients with adrenal nodules?

Authors:  Michael T Corwin; Christopher Lan; Machelle Wilson; Thomas W Loehfelm; Michael J Campbell
Journal:  Abdom Radiol (NY)       Date:  2021-05-07

3.  Attenuation Value in Adrenal Incidentalomas: A Longitudinal Study.

Authors:  Filippo Ceccato; Irene Tizianel; Giacomo Voltan; Gianmarco Maggetto; Isabella Merante Boschin; Emilio Quaia; Filippo Crimì; Carla Scaroni
Journal:  Front Endocrinol (Lausanne)       Date:  2021-12-02       Impact factor: 5.555

4.  Development and Validation of a Clinical-Image Model for Quantitatively Distinguishing Uncertain Lipid-Poor Adrenal Adenomas From Nonadenomas.

Authors:  Wenting Pan; Huangqi Zhang; Shengze Jin; Xin Li; Jiawen Yang; Binhao Zhang; Xue Dong; Ling Ma; Wenbin Ji
Journal:  Front Oncol       Date:  2022-07-13       Impact factor: 5.738

Review 5.  Frequently asked questions and answers (if any) in patients with adrenal incidentaloma.

Authors:  F Ceccato; M Barbot; C Scaroni; M Boscaro
Journal:  J Endocrinol Invest       Date:  2021-06-23       Impact factor: 4.256

  5 in total

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