Evidence map›Paper›PMID 33963418›Full record

ArticleAbdominal radiology (New York)2021

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

Michael T Corwin, Christopher Lan, Machelle Wilson, Thomas W Loehfelm, Michael J Campbell

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Article in Abdominal radiology (New York), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Michael T CorwinDepartment of Radiology, Davis Medical Center, University of California, 4860 Y Street, Suite 3100, Sacramento, CA, 95817, USA. mtcorwin@ucdavis.edu.ORCID http://orcid.org/0000-0001-8930-9765
Christopher LanDavis School of Medicine, University of California, Education Building, 4610 X Street, Sacramento, CA, 95817, USA.
Machelle WilsonDavis Department of Public Health Sciences, University of California, One Shields Avenue, Med-Sci 182 B, Davis, CA, 95616, USA.
Thomas W LoehfelmDepartment of Radiology, Davis Medical Center, University of California, 4860 Y Street, Suite 3100, Sacramento, CA, 95817, USA.
Michael J CampbellDepartment of Surgery, Davis Medical Center, University of California, 2221 Stockton Blvd., Sacramento, CA, 95817, USA.

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
NIH HHS UL1 TR001860
6 · The paper itself

Abstract

purposeTo determine if CT features of adrenal nodules and of the remainder of the abdomen can predict autonomous cortisol secretion (ACH) in patients with adrenal nodules, and to identify a nodule size threshold below which ACH is unlikely.

methodsRetrospective review of adult patients with adrenal nodules who underwent CT of abdomen and 1-mg Dexamethasone suppression test within 1 year of each other. Patients were considered to have no ACH if serum cortisol was ≤ 1.8 µg/dL after the 1-mg dexamethasone suppression test and to have possible or definite autonomous cortisol secretion if serum cortisol was > 1.8 µg/dL. The following CT features were assessed: Adrenal nodule length, nodule width, unenhanced nodule attenuation, contralateral adrenal gland thickness, visceral and subcutaneous adipose tissue area, skeletal muscle area and density, and unenhanced liver attenuation.

results29 patients had no autonomous cortisol secretion and 29 patients had possible or definite autonomous cortisol secretion. Nodule length and width were the only two variables that significantly differed between patients with nonfunctional nodules and those with possibly or definitely functional nodules. Using a threshold nodule length of 1.5 cm, the sensitivity and specificity for predicting possible or definite autonomous cortisol secretion was 93.1% and 37.9%, respectively.

conclusionAutonomous cortisol secretion in patients with adrenal nodules correlates with increasing nodule size. A nodule length threshold of 1.5 cm provides 93.1% sensitivity for predicting possible or definite ACH based on the 1-mg Dexamethasone suppression test.

Indexed as

Adrenal Gland NeoplasmsHydrocortisoneAbdomenAdultHumansRetrospective StudiesTomography, X-Ray ComputedHydrocortisoneAdenomaAdrenalCortisolCushingNoduleSize

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.