2022
DOI: 10.2174/1871530322666211220111637
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Is it Possible to Assess the Functional Status of Hormone Secretion or Non- Secretion of Adrenal Masses Through Their Magnetic Resonance Imaging (MRI) Characteristics?

Abstract: Background: Diagnostic imaging techniques including magnetic resonance imaging (MRI) should also perform on all patients with incidentalomas. However, there is a limited study whether the quantitative measurements (signal intensity index, adrenal to spleen ratio) in MRI could predict the functional status of adrenal adenomas. Material-Method: Between 2015-2020; 404 patients (265 females, 139 males) with adrenal mass who were referred to the university hospital for further investigation were included. Aft… Show more

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Cited by 1 publication
(3 citation statements)
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“…Previously, it was reported that the diagnosis of adrenal adenoma might be predicated on the ability to document microscopic fat in lipid‐rich adenomas by using quantitative SII instead of subjective analysis 35 . In a study conducted by Akkus et al, the mean SII of 30 cases with ACS was found to be 49.5 ± 24.5 17 . A limited number of MRI studies have been conducted in MACS patients, and to the best of our knowledge, there is no study that has independently assessed the SII of adenomas in patients with bilateral and unilateral macronodular MACS.…”
Section: Discussionmentioning
confidence: 99%
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“…Previously, it was reported that the diagnosis of adrenal adenoma might be predicated on the ability to document microscopic fat in lipid‐rich adenomas by using quantitative SII instead of subjective analysis 35 . In a study conducted by Akkus et al, the mean SII of 30 cases with ACS was found to be 49.5 ± 24.5 17 . A limited number of MRI studies have been conducted in MACS patients, and to the best of our knowledge, there is no study that has independently assessed the SII of adenomas in patients with bilateral and unilateral macronodular MACS.…”
Section: Discussionmentioning
confidence: 99%
“…This involves detecting a chemical shift in lipid‐rich lesions, which is indicated by a signal decrease on T1‐weighted out‐of‐phase images relative to T1‐weighted in‐phase images. Assessment can be conducted through qualitative visual analysis or a quantitative approach, where a signal drop exceeding 16.5% is substantial 16,17 …”
Section: Introductionmentioning
confidence: 99%
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