Discriminative capacity of volumetry by CT scan to identify autonomous cortisol secretion in incidental adrenal adenomas

Author(s):  
Roberto Olmos ◽  
Nicolás Mertens ◽  
Anand Vaidya ◽  
Thomas Uslar ◽  
Paula Fernandez ◽  
...  

Abstract Context Incidentally discovered adrenal adenomas are common. Assessment for possible autonomous cortisol excess (ACS) is warranted for all adrenal adenomas given the association with increased cardiometabolic disease. Objective To evaluate the discriminatory capacity of three-dimensional volumetry on computed tomography (CT) to identify ACS. Design, Setting, Patients Two radiologists, blinded to hormonal levels, prospectively analyzed CT images on 149 adult patients with unilateral, incidentally-discovered, adrenal adenomas. Main Outcome Measures Diameter and volumetry of the adenoma, volumetry of the contralateral adrenal gland, and the adenoma volume-to-contralateral gland volume (AV/CV) ratio were measured. ACS was defined as cortisol≥1.8 mcg/dL after 1mg dexamethasone suppression test (DST) and a morning ACTH ≤15 pg/mL. Results We observed that ACS was diagnosed in 35 (23.4%) patients. Cortisol post-DST was positively correlated with adenoma diameter and volume, and inversely correlated with contralateral adrenal gland volume. Cortisol post-DST was positively correlated with the AV/CV ratio (r=0.46, p<0.001) and ACTH was inversely correlated (r=-0.28, p<0.001). The AV/CV ratio displayed the highest Odds Ratio (1.40 CI 95% 1.18-1.65) and area under curve (0.91 CI 95% 0.86-0.96) for predicting ACS. An AV/CV ratio ≥1 (48% of the cohort) had a sensitivity of 97% and a specificity of 70% to identify ACS. Conclusions CT volumetry of adrenal adenomas and contralateral adrenal glands has a high discriminatory capacity to identify ACS. The combination of this simple and low-cost radiological phenotyping can supplement biochemical testing to substantially improve the identification of ACS.

2002 ◽  
Vol 28 (11-12) ◽  
pp. 1383-1387 ◽  
Author(s):  
Chiung-Hsin Chang ◽  
Chen-Hsiang Yu ◽  
Fong-Ming Chang ◽  
Huei-Chen Ko ◽  
Hsi-Yao Chen

2003 ◽  
Vol 29 (5) ◽  
pp. S121-S122
Author(s):  
C. Chang ◽  
F. Chang ◽  
Y. Cheng ◽  
T. Liao

2020 ◽  
pp. 26-28
Author(s):  
Jatin Venugopal Kutnikar ◽  
Saravanan Kannan ◽  
Prabhakaran Maduraimuthu

BACKGROUND: Owing to associated neonatal death, morbidity and impairment in later life, preterm birth is a major public health issue. Pregnant ladies presenting to the antenatal clinic were recruited in order to predict spontaneous preterm births bythe novel method of assessing the Fetal Adrenal Gland Volume (FAGV) and Adrenal Fetal ZoneEnlargement(AFZE) and comparing it with Cervical length. MATERIAL AND METHODS:This was a prospective observational study done at a tertiary hospital in Chennai.The formulae,AFZE=Gland length/Central fetal zone length and FAGV=0.523 x length x width x depth. cFAGV=fetal adrenal gland volume/estimated fetal weight =FAGV/EFW, were employed for the purpose of this study.𝛘2 or Fisher’s exact tests,Mann-Whitney or student-t test were calculated for appropriate variables. Pregnant women with uncomplicated pregnancy with gestational age between 21-34 weeks were recruited for this study. RESULTS:70 pregnant women were studied from May2019 to August 2020 and had an average age of 25 years and mean age of gestation being 27.1 weeks.26(37.1%) of these had a preterm delivery of ≤7 days.AFZE emerged as the best predictor among the three metrics with sensitivity of 100% and specificity of ~90 %.cFAGV showed ~80%/~89% sensitivity and specificity.This was in contrast to cervical length of ≤16 mm having just 55% and 60% sensitivity and specificity respectively. SUMMARY:USG estimation of AFZE and cFAGV are more reliable and accurate indicators than CL for spontaneous preterm delivery and can be used in the routine scanning of patients with early symptoms of preterm labour to plan the management more effectively.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Tao Chen

Abstract Recent studies have shown that obesity is a major risk factor for idiopathic hyperaldosteronism (IHA). IHA patients have greater AGV than normal controls. However, it is unclear whether such changes are caused by obesity and whether losing weight could reverse the morphological and functional abnormalities of the adrenal gland. This study was to investigate the association of obesity with adrenal gland volume (AGV) and the effects of weight loss on AGV. This study recruited obese patients (N=25) who underwent sleeve gastrectomy and age- and sex-matched normal-weight (N=25) and overweight healthy volunteers (HV) (N=21). Thin-slice computed tomography was used to evaluate adrenal morphological changes. AGV was measured semiautomatically based on the digital imaging and communications in medicine (DICOM) image. The effects of weight loss on AGV were evaluated in patients for one year or more after sleeve gastrectomy. The results showed that left, right and total AGV were larger in obese patients than those in overweight and normal- weight HVs (6.77±0.36, 5.76±0.31, and 12.53±0.64 cm3 vs. 3.88±0.14, 3.09± 0.13 and 6.97± 0.24 cm3 vs. 3.38±0.23, 2.67±0.15 and 6.04±0.36 cm3). No statistically significant difference was identified between overweight and normal-weight HVs. Sleeve gastrectomy significantly reduced body weight (-27.1±2.5 kg), left AGV (-0.80±0.26 cm3), and right AGV (-0.88±0.20 cm2). However, the adrenal volume in five patients was not reduced, despite significant weight loss postsurgery. In brief, obesity leads to increased AGV, and in some cases, this effect seems to be irreversible. We speculate that obesity causes permanently adrenal morphological changes (increased volume or hyperplasia), and under certain circumstances, it results in excessive aldosterone secretion via altered adipokines (leptin, CTRP1, etc.).


2012 ◽  
Vol 29 (09) ◽  
pp. 673-680 ◽  
Author(s):  
Ozhan Turan ◽  
Sifa Turan ◽  
Irina Buhimschi ◽  
Edmund Funai ◽  
Katherine Campbell ◽  
...  

Resuscitation ◽  
2018 ◽  
Vol 129 ◽  
pp. 135-140 ◽  
Author(s):  
Nicolas Mongardon ◽  
Guillaume Savary ◽  
Guillaume Geri ◽  
Marie-Rose El Bejjani ◽  
Stéphane Silvera ◽  
...  

2020 ◽  
Vol 30 (9) ◽  
pp. 3503-3507
Author(s):  
Fengjiao Liu ◽  
Yi Chen ◽  
Wei Xie ◽  
Chengxin Liu ◽  
Yuchun Zhu ◽  
...  

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