The 10 Hounsfield units unenhanced computed tomography attenuation threshold does not apply to cortisol secreting adrenocortical adenomas

in European Journal of Endocrinology
Authors:
Claire ChambreDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Claire Chambre in
Current site
Google Scholar
PubMed
Close
,
Emily McMurrayDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Emily McMurray in
Current site
Google Scholar
PubMed
Close
,
Camille BaudryDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Camille Baudry in
Current site
Google Scholar
PubMed
Close
,
Marine LataudDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Marine Lataud in
Current site
Google Scholar
PubMed
Close
,
Laurence GuignatDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Laurence Guignat in
Current site
Google Scholar
PubMed
Close
,
Sébastien GaujouxDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Sébastien Gaujoux in
Current site
Google Scholar
PubMed
Close
,
Najiba LahlouDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Najiba Lahlou in
Current site
Google Scholar
PubMed
Close
,
Jean GuibourdencheDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Jean Guibourdenche in
Current site
Google Scholar
PubMed
Close
,
Frédérique TissierDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Frédérique Tissier in
Current site
Google Scholar
PubMed
Close
,
Mathilde SibonyDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Mathilde Sibony in
Current site
Google Scholar
PubMed
Close
,
Bertrand DoussetDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Bertrand Dousset in
Current site
Google Scholar
PubMed
Close
,
Xavier BertagnaDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Xavier Bertagna in
Current site
Google Scholar
PubMed
Close
,
Jérôme BertheratDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Jérôme Bertherat in
Current site
Google Scholar
PubMed
Close
,
Paul LegmannDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Paul Legmann in
Current site
Google Scholar
PubMed
Close
, and
Lionel GroussinDepartment of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France
Department of Endocrinology, Department of Endocrinology, Metabolic Unit, Department of Radiology, Université Paris Descartes, Department of Digestive and Endocrine Surgery, Hormonal Biology, Department of Pathology, Department of Pathology, INSERM U1016, Referral Center for Rare Adrenal Diseases, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, 27, rue du Faubourg Saint Jacques, 75014 Paris, France

Search for other papers by Lionel Groussin in
Current site
Google Scholar
PubMed
Close
View More View Less

Correspondence should be addressed to L Groussin; Email: lionel.groussin@cch.aphp.fr
Free access

Context

Computed tomography (CT) unenhanced attenuation value of <10 Hounsfield units (HU) has an excellent specificity (98%) to diagnose lipid-rich adrenocortical adenomas (ACAs) with a weaker sensitivity (71%).

Objective

To determine from a routine clinical perspective if unenhanced attenuation value is influenced by cortisol secretion in ACAs.

Design

This was a retrospective study of cases collected between 2009 and 2012.

Setting

This study was conducted in a tertiary-care university hospital.

Patients

Seventy-two patients operated on for an ACA (Weiss score ≤2) were analysed. Thirty-four patients had an ACA oversecreting cortisol (Cush-ACA). Thirty-eight patients had an ACA without cortisol oversecretion (Non Hyper-ACA).

Main outcome measure

CT unenhanced attenuation value was correlated with the functional status. The Weiss score items were analysed.

Results

Among the 34 patients with a Cush-ACA a minority (n=7) had an unenhanced attenuation value under 10 HU. Among the high precontrast density (>10 HU) Cush-ACAs, washout analysis after contrast administration was consistent with the benign nature of the tumor in ∼60% of the cases. Less than 25% clear cells (lipid-rich cells), a Weiss score item, was present in 50% of the Cush-ACAs in favour of a lipid-poor content.

Conclusions

Unenhanced attenuation value has a poor sensitivity to diagnose an ACA in case of cortisol oversecretion due to poor lipid content. Nevertheless, the accuracy of washout analysis was preserved in the group of Cush-ACAs.

Abstract

Context

Computed tomography (CT) unenhanced attenuation value of <10 Hounsfield units (HU) has an excellent specificity (98%) to diagnose lipid-rich adrenocortical adenomas (ACAs) with a weaker sensitivity (71%).

Objective

To determine from a routine clinical perspective if unenhanced attenuation value is influenced by cortisol secretion in ACAs.

Design

This was a retrospective study of cases collected between 2009 and 2012.

Setting

This study was conducted in a tertiary-care university hospital.

Patients

Seventy-two patients operated on for an ACA (Weiss score ≤2) were analysed. Thirty-four patients had an ACA oversecreting cortisol (Cush-ACA). Thirty-eight patients had an ACA without cortisol oversecretion (Non Hyper-ACA).

Main outcome measure

CT unenhanced attenuation value was correlated with the functional status. The Weiss score items were analysed.

Results

Among the 34 patients with a Cush-ACA a minority (n=7) had an unenhanced attenuation value under 10 HU. Among the high precontrast density (>10 HU) Cush-ACAs, washout analysis after contrast administration was consistent with the benign nature of the tumor in ∼60% of the cases. Less than 25% clear cells (lipid-rich cells), a Weiss score item, was present in 50% of the Cush-ACAs in favour of a lipid-poor content.

Conclusions

Unenhanced attenuation value has a poor sensitivity to diagnose an ACA in case of cortisol oversecretion due to poor lipid content. Nevertheless, the accuracy of washout analysis was preserved in the group of Cush-ACAs.

Introduction

Adrenocortical adenoma (ACA) may be discovered using two diagnostic modalities: as an incidental radiologic finding or as part of the investigation of steroid excess. Visualization of an adrenal incidentaloma on cross-sectional imaging is a frequent situation, with an estimated frequency around 4% in the middle age (1, 2, 3). Different histological types may be encountered, but non-functioning ACAs represent more than 70% of all incidentalomas (4). Pheochromocytomas, adrenocortical carcinomas and adrenal metastases are less common disorders but need to be considered because of their serious consequences for the patient. Cortisol-secreting ACA is rarely discovered as an adrenal incidentaloma, but rather usually in the workup of a Cushing's syndrome (5).

Although the final diagnosis of an ACA relies on the Weiss score after histological examination (6, 7), some specific radiological characteristics of ACA are highly suggestive of a benign lesion (8). An ACA is suggested on a computed tomography (CT) by the presence of a regular border, a maximum size measurement <4 cm, homogeneity of the lesion and an unenhanced density of <10 Hounsfield units (HU). Pre-contrast attenuation value of <10 HU on CT is suggestive of a lipid-rich tumor composed of benign steroidogenic cells. Analysis of the literature on CT reveals that a precontrast density below 10 HU has 98% specificity to diagnose an ACA, with a weaker sensitivity of 71% (9). Approximately 30% of ACAs are lipid-poor, resulting in a higher pre-contrast attenuation value, which accounts for the lower sensitivity. Nonetheless, many of these lipid-poor ACAs will be identified by rapid washout after contrast administration. This is in contrast to malignant tumors, which have poor contrast washout as a result of capillary leakage (10).

To our knowledge it has never been systematically investigated in clinical practice whether the functional status might modify the lipid content of an adenoma, and therefore the pre-contrast CT attenuation value. In Cush-ACAs the hyperfunctional status may decrease the intracytoplasmic lipid droplets containing ester of cholesterol necessary for cortisol synthesis. The present study aims to answer this question, especially given the clinical importance put on the radiological findings.

Subjects and methods

Patients

This was a retrospective study of 72 patients who underwent resection of an ACA between 2009 and 2012 in Cochin Hospital, Paris. Patients were included in the analysis if the following data were available: unenhanced CT attenuation value of the adrenal lesion, pre-operative 24-h urinary free cortisol (UFC) and a Weiss score on the histopathology report of the resected ACA.

Patients with an adrenal incidentaloma were investigated according to established guidelines (1, 11) and patients with Cushing's syndrome were investigated as recommended by the Endocrine Society (12). Hormonal investigations were performed as previously reported (13, 14). The tests commonly used were 24-h UFC, basal plasma adrenocorticotrophin (ACTH), late-night serum and/or salivary cortisol and 1 mg dexamethasone suppression test. Inadequate cortisol suppression after 1mg overnight dexamethasone test was defined by the cutoff value of 1.8 μg/dl (50 nmol/l) (12). Based on clinical and biochemical parameters, patients are usually classified as having non-secreting adenoma, subclinical hypercortisolism and Cushing's syndrome. As our objective was to determine if a correlation may exist between the CT-unenhanced attenuation value and the degree of cortisol hypersecretion, the 72 patients were arbitrarily divided into two groups based on 24-h UFC. Those with evidence of cortisol excess with elevated UFC were classified as the Cush-ACA group whilst those with normal UFC, with or without subtle cortisol oversecretion, classified as the Non Hyper-ACA group. In this latter group, 79% of patients had an abnormal response to dexamethasone. In the Non Hyper-ACA group, 36 adenomas were discovered incidentally and two were found in the workup of a clinical Cushing's syndrome. However, in the Cush-ACA group, four were incidentaloma and 30 were found in the assessment of a clinical Cushing's syndrome. In the Non Hyper-ACAs group, the cause of the surgical penalty was the initial size for four patients (10.5%), a growing tumor for five patients (13.2%), a radiologically indeterminated lesion for nine patients (23.7%) and a subclinical Cushing syndrome for 20 patients (52.6%).

Image analysis

Features analysed on routine CT scanning included the size, shape and unenhanced attenuation value of the ACA. All the ACAs were homogenous tumors with a regular border. Homogeneity of the tumor was determined by the radiologist who characterized the adrenal lesion. Attenuation evaluation was based on a region of interest located at midpoint of the lesion, covering two-thirds of the mass. Unenhanced attenuation value was expressed in Hounsfield units which represent a normalized index of X-ray attenuation, in relation with the composition of the tissue imaged. Where available, the rapidity of i.v. contrast washout was recorded. The absolute contrast washout (APW) was calculated by the formula: APW=(enhanced−delayed)/(enhanced−unenhanced)×100. An APW of 60% or more is in favour of an ACA. The relative contrast washout (RPW) was calculated with the formula: RPW=(enhanced−delayed)/enhanced×100. A relative washout of 40% or more was in favour of an ACA. All the patients provided written informed consent.

Weiss score analysis

The pathological report allowed us to select exclusively benign adrenocortical tumors defined by a Weiss score ≤2. The nine Weiss criteria were recorded by two pathologists specialized in adrenal pathology (F T and M S). The diagnostic performance of the Weiss score system is high among expert pathologists. Borderline cases with one or two Weiss score criteria can be observed, but a secondary malignant behaviour is extremely rare. One of the nine Weiss score criteria evaluates tumor lipid content by quantifying the percentage of clear or vacuolated cells. These cells correspond to spongiocytes which are rich in lipid droplets, in contrast with lipid-poor compact cells. The presence of less than or equal to 25% of clear cells equates to one point in the Weiss scoring system, which suggests that the tumor is lipid-poor.

Statistics

Data are reported using median and range±s.d., or percentages as appropriate. Comparison of quantitative variables was done using t-test. Given the small numbers of subjects in some groups of interest, we used non-parametric statistical methods to study the relationship between qualitative variables when appropriate (Fisher's exact χ2 test). We used two-tailed tests, and P values <0.05 were considered significant. Statistical analysis was performed using SAS version 9.2 (SAS institute, Inc., Cary, NC, USA).

Results

Patient characteristics

The demographic, hormonal and radiological data of the 38 patients from the Non Hyper-ACA group are presented in Supplementary Table 1 (see section on supplementary data given at the end of this article). Similar data are presented for the 34 patients from the Cush-ACA group in Supplementary Table 2.

These data are summarized in Table 1. The majority of the patients were female, with a male-to-female ratio of 0.29 in the Non Hyper-ACA group and 0.13 in the Cush-ACA group. This difference did not reach significance.

Table 1

Demographic and radiological data.

Clinical and radiological characteristicsNon Hyper ACAs (n=38)Cush ACAs (n=34)P value
Age at diagnostic (years)58.6±12.241.6±11.7<0.0001
Female29 (76.3%)30 (88.2%)0.2
Size (mm)37.9±8.533±12.70.06
Urinary free cortisol (×upper limit normal)0.44±0.253.62±2.95<0.0001
Unenhanced CT attenuation (HU)14.2±15.123.6±11.80.004
ACAs with unenhanced CT >10 HU21 (55%)27 (79.4%)0.04
ACAs (>10 HU) with washout study available18/2125/27
Absolute washout ≥60%7/18 (39%)15/25 (60%)0.2
Relative washout ≥40%6/18 (33%)16/25 (64%)0.07

The median age at diagnosis was 58.6±12.2 years (range 33–87) in the Non Hyper-ACA group and was significantly younger, 41.6±11.7 years (range 14–66), in the Cush-ACA group (P<0.0001).

As expected by the definition of the two groups, cortisol secretion, expressed as 24-h UFC times upper limit of normal (×ULN), was higher in the Cush-ACA group, compared to the Non Hyper-ACA group (3.62±2.95 (min 1.03–max 12.70) vs 0.44±0.25 (min 0.08–max 0.99), P<0.0001).

Median tumor size was higher in Non Hyper-ACA group vs Cush-ACA group, though this does not reach significance (37.9±8.5 mm (range 22–58) vs 33±12.7 mm (range 20–65), P=0.06).

Unenhanced CT attenuation values

Cush-ACAs had significantly higher attenuation values at unenhanced CT than did Non Hyper-ACAs (median 23.6±11.8 HU (range 0 to 41) vs 14.2±15.1 HU (range –11 to 41), P=0.004) (Table 1).

The relationship between functional status and unenhanced CT attenuation value is illustrated in Fig. 1. Seventy-nine percent of cortisol-secreting adenomas had an unenhanced attenuation value >10 HU, and 64.7% had an unenhanced attenuation value of ≥20 HU, in keeping with lipid-poor adenoma. It is worth noting that among the seven lipid-rich Cush-ACAs (unenhanced CT attenuation value ≤10 HU), five were the least oversecreting (ULN <1.25) (Supplementary Table 2).

Figure 1
Figure 1

Relationship between cortisol secretion and unenhanced CT attenuation value. The x-axis represents the level of diurnal cortisol secretion expressed as 24-h urine free cortisol (UFC) times upper limit of normal (×ULN). Note that the x-axis is represented as a logarithmic scale. The vertical line separates the Non Hyper-ACA group (ULN ≤1) from the Cush-ACA group (ULN >1). The y-axis represents the unenhanced CT attenuation value expressed in Hounsfield unit (HU). The horizontal line indicates the 10 HU threshold value used in clinical practice to identify lipid-rich adenomas (below 10 HU). The adenomas with >25% of clear cells (empty circles) are compared to the adenomas with <25% of clear cells (full circles).

Citation: European Journal of Endocrinology 173, 3; 10.1530/EJE-15-0036

In the Non Hyper-ACA group both lipid-rich (42%) and lipid-poor (58%) adenomas were observed, reflecting the fact that a proportion of these patients were operated on for a radiologically indeterminate lesion (i.e. high unenhanced CT attenuation value with slow washout).

A positive linear relationship was observed between the cortisol secretion and unenhanced attenuation values in the entire cohort of ACAs with a correlation coefficient equal to 0.36 (P=0.002) and in the Cush-ACAs group with a correlation coefficient equal to 0.38 (P=0.027), but not in the Non Hyper-ACAs group (P=0.266). In other words, for the entire cohort, a doubling of the cortisol secretion was associated with a 4 HU increase in the unenhanced attenuation value.

Contrast washout characteristics

Since use of unenhanced CT attenuation value had limitations in identifying the benign nature of cortisol-secreting adenoma, we analysed if the washout contrast study continued to perform well. Fourteen patients (37%) in the Non-Hyper ACAs group and ten patients (29%) in the Cush-ACAs group had a radiologically indeterminated mass (high unenhanced CT attenuation value with slow absolute washout).

Of the 34 Cush-ACAs, 27 had an unenhanced CT attenuation value >10 HU. A contrast washout study was available in 25 of these 27 lipid-poor adenomas. Of these 25 Cush-ACAs, the absolute percentage washout was >60% in 15 out of 25 cases (60%), in favour of an adenoma. The relative percentage washout was >40% in 16 out of 25 cases (64%), again, in keeping with an adenoma (Table 1).

Of the 38 Non Hyper-ACAs, 21 had an unenhanced CT attenuation value >10 HU. A contrast washout study was available in 18 of these 21 lipid-poor adenomas. Given that the group contained more radiologically indeterminate lesions, the percentage of tumors displaying washout characteristics in keeping with an adenoma was lower: the absolute percentage washout was in favour of an adenoma in seven out of 18 cases (39%), and the relative percentage washout was in favour of the benignity in six out of 18 cases (33%) (Table 1).

Analysis of the Weiss score criteria

Table 2 summarises the Weiss score criteria identified in the Cush-ACA group. Among the 27 lipid-poor Cush-ACA with an unenhanced CT attenuation value of >10 HU, 50% were noted to have ≤25% of clear cells. As expected, this Weiss score criterion was absent in all of the seven lipid-rich Cush-ACAs (unenhanced CT attenuation value ≤10 HU).

Table 2

Weiss score criteria in the Cush-ACA group.

Tumors Weiss score (total) Weiss score criteria
Nucleus Architecture Invasion
NG MT AM CC DA NC VI SI CI
Cush-ACA1 0
Cush-ACA2 0
Cush-ACA3 0
Cush-ACA4 0
Cush-ACA5 1 +
Cush-ACA6 0
Cush-ACA7 0
Cush-ACA8 1 +
Cush-ACA9 2 + +
Cush-ACA10 2 + +
Cush-ACA11 0
Cush-ACA12 2 + +
Cush-ACA13 0
Cush-ACA14 1 +
Cush-ACA15 0
Cush-ACA16 1 +
Cush-ACA17 2 + +
Cush-ACA18 1 +
Cush-ACA19 1 +
Cush-ACA20 2 + +
Cush-ACA21 2 + +
Cush-ACA22 2 + +
Cush-ACA23 2 + +
Cush-ACA24 1 +
Cush-ACA25 1 +
Cush-ACA26 1 +
Cush-ACA27 0
Cush-ACA28 1 +
Cush-ACA29 2 + +
Cush-ACA30 0
Cush-ACA31 1 +
Cush-ACA32 1 +
Cush-ACA33 1 +
Cush-ACA34 2 + +

NG, Nuclear grade; MT, mitosis; AM, atypical mitosis; CC, <25% clear cells; DA, diffuse architecture; NC, necrosis; VI, venous invasion; SI, sinusoidal invasion; CI, capsular invasion.

The only other Weiss score criterion noted in the Cush-ACA group was the finding of nuclear grade III or IV, based on Fuhrman criteria (15). This was present in 19 of the 34 (55.9%) Cush-ACAs, with ten Cush-ACA's having both high nuclear grade and low percentage of clear cells (Weiss score of 2).

Table 3 summarises the Weiss score criteria identified in the Non Hyper-ACA group. Only six of the 38 (15.8%) Non Hyper-ACAs had ≤25% clear cells.

Table 3

Weiss score criteria in the Non Hyper-ACA group.

Tumors Weiss score (total) Weiss score criteria
Nucleus Architecture Invasion
NG MT AM CC DA NC VI SI CI
Non Hyper-ACA1 0
Non Hyper-ACA2 1 +
Non Hyper-ACA3 0
Non Hyper-ACA4 2 + +
Non Hyper-ACA5 0
Non Hyper-ACA6 0
Non Hyper-ACA7 0
Non Hyper-ACA8 0
Non Hyper-ACA9 2 + +
Non Hyper-ACA10 0
Non Hyper-ACA11 0
Non Hyper-ACA12 0
Non Hyper-ACA13 0
Non Hyper-ACA14 2 + +
Non Hyper-ACA15 0
Non Hyper-ACA16 0
Non Hyper-ACA17 0
Non Hyper-ACA18 0
Non Hyper-ACA19 0
Non Hyper-ACA20 1 +
Non Hyper-ACA21 0
Non Hyper-ACA22 1 +
Non Hyper-ACA23 2 + +
Non Hyper-ACA24 2 + +
Non Hyper-ACA25 0
Non Hyper-ACA26 2 + +
Non Hyper-ACA27 0
Non Hyper-ACA28 1 +
Non Hyper-ACA29 0
Non Hyper-ACA30 0
Non Hyper-ACA31 0
Non Hyper-ACA32 0
Non Hyper-ACA33 2 + +
Non Hyper-ACA34 0
Non Hyper-ACA35 0
Non Hyper-ACA36 0
Non Hyper-ACA37 0
Non Hyper-ACA38 2 + +

NG, Nuclear grade; MT, mitosis; AM, atypical mitosis; CC, <25% clear cells; DA, diffuse architecture; NC, necrosis; VI, venous invasion; SI, sinusoidal invasion; CI, capsular invasion.

Four other Weiss score items were recorded, but the most common was a nuclear grade score of 1, seen in ten of the 38 (26.3%) Non Hyper-ACAs. This group is characterised by low Weiss score, with 68.4% having a Weiss score of zero. The Weiss score distribution is statistically different between the two groups (P=0.004).

In both groups, ≤25% of clear cells were only observed for ACAs with an unenhanced attenuation value above 20 HU. In the Cush-ACAs group, 70% of the adenomas with more than 20 HU attenuation value had this Weiss score criteria. In the Non Hyper-ACAs group, it was only observed in 42.9% of the adenomas (Fig. 1). This difference was not statistically significant (P=0.162, Fisher test), suggesting that a high unenhanced attenuation value is also associated with a small number of clear cells in non-cortisol-secreting ACAs.

Discussion

In clinical practice, an unenhanced CT attenuation value of <10 HU is widely used to distinguish lipid-rich ACAs from other adrenal tumors due to its excellent specificity (9). This threshold is a less sensitive marker, as ∼30% of adenomas are lipid-poor.

Different mechanisms have been proposed as to why cholesterol esters are not stored in intracytoplasmic lipid droplets in lipid-poor ACAs. A number of studies have suggested that it is due to cortisol hypersecretion (16, 17, 18), but this hypothesis has not been explored in clinical practice.

In our retrospective analysis of a large series of ACAs, we have correlated the level of cortisol secretion with unenhanced CT attenuation value, and we clearly demonstrate that cortisol hypersecretion is associated with high unenhanced CT attenuation values. Given that 79% of Cush-ACAs had an unenhanced CT attenuation value of >10 HU, this radiological threshold lacks sensitivity in this type of ACA. However, in our series, the contrast washout studies identified these Cush-ACAs with percentages similar to those of the general population of ACAs (8, 19). We believe that our study has two practical implications. The first consequence is that future studies concerning unenhanced CT attenuation value in adrenocortical tumors will have to integrate the functional status. The second consequence is that the clinician should anticipate a high unenhanced CT attenuation value in case of a cortisol-secreting tumor. If the unenhanced attenuation value is >10 HU, the radiologist will move on to the full washout study. Indeed, the question of malignancy remains even if we know from the beginning that this cortisol-secreting mass will be removed. The underlying issue is the best surgical approach in case of suspicious malignancy.

Yamada et al. (18) also report an inverse linear relationship between unenhanced CT attenuation value and the number of lipid-rich clear cells in a smaller series of 15 Cush-ACAs; however, the level of cortisol hypersecretion and Weiss score were not reported. From this previous study, it is worth noting that for a given unenhanced CT attenuation value the density of lipid-rich cells varied widely. Of six ACAs with an unenhanced CT attenuation value close to 20 HU, the percentage of lipid-rich cells was between 10 and 55%, suggesting that, although correlated, there is wide variation. In our larger series, two of the 14 ACAs with an unenhanced CT attenuation value ≥30 HU did not fulfil the Weiss score criteria, suggesting poor lipid content (<25% clear cells). This discrepancy could be due to either known limitations in the measurement of unenhanced CT attenuation value (20, 21, 22) or the quantification of lipid-rich clear cells. In this regard, a recent study conducted to improve the application of the Weiss system showed that the evaluation of clear cells is subject to a certain degree of uncertainty. This Weiss score item presents inter-observer heterogeneity but also intra-observer variability (7). In the series reported by Yamada et al. (18) the ACAs with <25% lipid-rich clear cells had a unenhanced CT attenuation value of >17.5 HU. In our cohort, the equivalent ACAs with <25% clear cells had an attenuation value >24 HU.

The poor lipid content of cortisol-secreting ACAs could be explained by constitutive activation of the cAMP pathway, mimicking the action of ACTH. After ACTH stimulation, cultured non-functioning ACA showed characteristic changes from clear-type into compact-type cells due to a decrease in intracytoplasmic lipid droplets (23). Until recently, a small proportion of cortisol-secreting ACAs was explained by mutations in genes encoding actors of the cAMP pathway (24, 25, 26). The key role of this signaling pathway has been reinforced by recent papers reporting recurrent (35–69%) activating mutations of the protein kinase A catalytic subunit in cortisol producing ACAs (27, 28, 29, 30, 31).

It is notable that in our series, the Cush-ACA group is histologically homogeneous, with only two Weiss score criteria present: <25% clear cells and nuclear grade III or VI based on Fuhrman criteria. These results are fully in line with the conclusions of a recent paper assessing the unidimensionality of the Weiss score. Clear cells <25% and high nuclear grade are the most frequently observed items for Weiss scores 1 and 2 (32). As discussed previously, low percentage of clear cells is linked to the hypersecreting state of the adenoma. The nuclear grades were defined by Fuhrman in order of increasing nuclear size, irregularity and nucleolar prominence (15). It is suggested that in ACA the highest nuclear grade is associated with higher DNA ploidy, particularly observed in aldosterone secreting and in some cortisol-secreting adenomas with stage IV nuclear grade (33).

The Non Hyper-ACA group is histologically more heterogeneous owing to the various surgical indications: radiologically indeterminate adrenal lesions, large tumors and/or mild steroid oversecretion.

In conclusion, in our series, the vast majority of cortisol-secreting ACAs had an unenhanced CT attenuation value greater than the threshold of 10 HU, which serves to distinguish lipid-rich ACAs from other adrenal tumors. However, washout analysis remains performant in identifying this subgroup of benign adrenocortical tumors. Cush-ACAs are lipid-poor tumors, which translate histologically into a significant percentage of compact cells.

Supplementary data

This is linked to the online version of the paper at http://dx.doi.org/10.1530/EJE-15-0036.

Declaration of interest

There is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.

Funding

This research did not receive any specific grant from any funding agency in the public, commercial or not-for-profit sector.

Author contribution statement

C Chambre, E McMurray, C Baudry, P Legmann and L Groussin contributed equally to this work.

References

  • 1

    Grumbach MM, Biller BM, Braunstein GD, Campbell KK, Carney JA, Godley PA, Harris EL, Lee JK, Oertel YC, Posner MC et al.. Management of the clinically inapparent adrenal mass ("incidentaloma"). Annals of Internal Medicine 2003 138 424429. (doi:10.7326/0003-4819-138-5-200303040-00013).

    • Search Google Scholar
    • Export Citation
  • 2

    Young WF Jr. Clinical practice. The incidentally discovered adrenal mass. New England Journal of Medicine 2007 356 601610. (doi:10.1056/NEJMcp065470).

    • Search Google Scholar
    • Export Citation
  • 3

    Nieman LK. Approach to the patient with an adrenal incidentaloma. Journal of Clinical Endocrinology and Metabolism 2010 95 41064113. (doi:10.1210/jc.2010-0457).

    • Search Google Scholar
    • Export Citation
  • 4

    Song JH, Chaudhry FS, Mayo-Smith WW. The incidental adrenal mass on CT: prevalence of adrenal disease in 1,049 consecutive adrenal masses in patients with no known malignancy. AJR. American Journal of Roentgenology 2008 190 11631168. (doi:10.2214/AJR.07.2799).

    • Search Google Scholar
    • Export Citation
  • 5

    Newell-Price J, Bertagna X, Grossman AB, Nieman LK. Cushing's syndrome. Lancet 2006 367 16051617. (doi:10.1016/S0140-6736(06)68699-6).

  • 6

    Weiss LM. Comparative histologic study of 43 metastasizing and nonmetastasizing adrenocortical tumors. American Journal of Surgical Pathology 1984 8 163169. (doi:10.1097/00000478-198403000-00001).

    • Search Google Scholar
    • Export Citation
  • 7

    Tissier F, Aubert S, Leteurtre E, Al Ghuzlan A, Patey M, Decaussin M, Doucet L, Gobet F, Hoang C, Mazerolles C et al.. Adrenocortical tumors: improving the practice of the Weiss system through virtual microscopy: a National Program of the French Network INCa-COMETE. American Journal of Surgical Pathology 2012 36 11941201. (doi:10.1097/PAS.0b013e31825a6308).

    • Search Google Scholar
    • Export Citation
  • 8

    McDermott S, O'Connor OJ, Cronin CG, Blake MA. Radiological evaluation of adrenal incidentalomas: current methods and future prospects. Best Practice & Research. Clinical Endocrinology & Metabolism 2012 26 2133. (doi:10.1016/j.beem.2011.07.005).

    • Search Google Scholar
    • Export Citation
  • 9

    Boland GW, Lee MJ, Gazelle GS, Halpern EF, McNicholas MM, Mueller PR. Characterization of adrenal masses using unenhanced CT: an analysis of the CT literature. AJR. American Journal of Roentgenology 1998 171 201204. (doi:10.2214/ajr.171.1.9648789).

    • Search Google Scholar
    • Export Citation
  • 10

    Pena CS, Boland GW, Hahn PF, Lee MJ, Mueller PR. Characterization of indeterminate (lipid-poor) adrenal masses: use of washout characteristics at contrast-enhanced CT. Radiology 2000 217 798802. (doi:10.1148/radiology.217.3.r00dc29798).

    • Search Google Scholar
    • Export Citation
  • 11

    Tabarin A, Bardet S, Bertherat J, Dupas B, Chabre O, Hamoir E, Laurent F, Tenenbaum F, Cazalda M, Lefebvre H et al.. Exploration and management of adrenal incidentalomas. French Society of Endocrinology Consensus. Annales d'Endocrinologie 2008 69 487500. (doi:10.1016/j.ando.2008.09.003).

    • Search Google Scholar
    • Export Citation
  • 12

    Nieman LK, Biller BM, Findling JW, Newell-Price J, Savage MO, Stewart PM, Montori VM. The diagnosis of Cushing's syndrome: an Endocrine Society Clinical Practice Guideline. Journal of Clinical Endocrinology and Metabolism 2008 93 15261540. (doi:10.1210/jc.2008-0125).

    • Search Google Scholar
    • Export Citation
  • 13

    Groussin L, Bonardel G, Silvera S, Tissier F, Coste J, Abiven G, Libe R, Bienvenu M, Alberini JL, Salenave S et al.. 18F-fluorodeoxyglucose positron emission tomography for the diagnosis of adrenocortical tumors: a prospective study in 77 operated patients. Journal of Clinical Endocrinology and Metabolism 2009 94 17131722. (doi:10.1210/jc.2008-2302).

    • Search Google Scholar
    • Export Citation
  • 14

    Bonnet S, Gaujoux S, Launay P, Baudry C, Chokri I, Ragazzon B, Libe R, Rene-Corail F, Audebourg A, Vacher-Lavenu MC et al.. Wnt/β-catenin pathway activation in ACAs is frequently due to somatic CTNNB1-activating mutations, which are associated with larger and nonsecreting tumors: a study in cortisol-secreting and -nonsecreting tumors. Journal of Clinical Endocrinology and Metabolism 2011 96 E419E426. (doi:10.1210/jc.2010-1885).

    • Search Google Scholar
    • Export Citation
  • 15

    Fuhrman SA, Lasky LC, Limas C. Prognostic significance of morphologic parameters in renal cell carcinoma. American Journal of Surgical Pathology 1982 6 655663. (doi:10.1097/00000478-198210000-00007).

    • Search Google Scholar
    • Export Citation
  • 16

    Korobkin M, Giordano TJ, Brodeur FJ, Francis IR, Siegelman ES, Quint LE, Dunnick NR, Heiken JP, Wang HH. Adrenal adenomas: relationship between histologic lipid and CT and MR findings. Radiology 1996 200 743747. (doi:10.1148/radiology.200.3.8756925).

    • Search Google Scholar
    • Export Citation
  • 17

    Ichiyanagi O, Sasagawa I, Izumi T, Ohji H, Suzuki H, Nakada T, Sugai Y, Yamaguchi K. Relationship between clear cell/compact cell ratio and computed tomographic attenuation number in adrenocortical adenoma. International Urology and Nephrology 1999 31 585590. (doi:10.1023/A:1007144118399).

    • Search Google Scholar
    • Export Citation
  • 18

    Yamada T, Ishibashi T, Saito H, Matsuhashi T, Majima K, Tsuda M, Takahashi S, Moriya T. Adrenal adenomas: relationship between histologic lipid-rich cells and CT attenuation number. European Journal of Radiology 2003 48 198202. (doi:10.1016/S0720-048X(02)00217-6).

    • Search Google Scholar
    • Export Citation
  • 19

    Sangwaiya MJ, Boland GW, Cronin CG, Blake MA, Halpern EF, Hahn PF. Incidental adrenal lesions: accuracy of characterization with contrast-enhanced washout multidetector CT – 10-minute delayed imaging protocol revisited in a large patient cohort. Radiology 2010 256 504510. (doi:10.1148/radiol.10091386).

    • Search Google Scholar
    • Export Citation
  • 20

    Hahn PF, Blake MA, Boland GW. Adrenal lesions: attenuation measurement differences between CT scanners. Radiology 2006 240 458463. (doi:10.1148/radiol.2402042120).

    • Search Google Scholar
    • Export Citation
  • 21

    Johnson PT, Horton KM, Fishman EK. Adrenal imaging with multidetector CT: evidence-based protocol optimization and interpretative practice. Radiographics 2009 29 13191331. (doi:10.1148/rg.295095026).

    • Search Google Scholar
    • Export Citation
  • 22

    Stadler A, Schima W, Prager G, Homolka P, Heinz G, Saini S, Eisenhuber E, Niederle B. CT density measurements for characterization of adrenal tumors ex vivo: variability among three CT scanners. AJR. American Journal of Roentgenology 2004 182 671675. (doi:10.2214/ajr.182.3.1820671).

    • Search Google Scholar
    • Export Citation
  • 23

    Matsuo K, Kawai K, Tsuchiyama H. Non-functioning adrenocortical adenoma in culture. Quantitative and morphological observations. Acta Pathologica Japonica 1985 35 871884.

    • Search Google Scholar
    • Export Citation
  • 24

    Bertherat J, Groussin L, Sandrini F, Matyakhina L, Bei T, Stergiopoulos S, Papageorgiou T, Bourdeau I, Kirschner LS, Vincent-Dejean C et al.. Molecular and functional analysis of PRKAR1A and its locus (17q22-24) in sporadic adrenocortical tumors: 17q losses, somatic mutations, and protein kinase A expression and activity. Cancer Research 2003 63 53085319.

    • Search Google Scholar
    • Export Citation
  • 25

    Libe R, Bertherat J. Molecular genetics of adrenocortical tumours, from familial to sporadic diseases. European Journal of Endocrinology 2005 153 477487. (doi:10.1530/eje.1.02004).

    • Search Google Scholar
    • Export Citation
  • 26

    Vezzosi D, Bertherat J, Groussin L. Pathogenesis of benign adrenocortical tumors. Best Practice & Research. Clinical Endocrinology & Metabolism 2010 24 893905. (doi:10.1016/j.beem.2010.10.005).

    • Search Google Scholar
    • Export Citation
  • 27

    Beuschlein F, Fassnacht M, Assie G, Calebiro D, Stratakis CA, Osswald A, Ronchi CL, Wieland T, Sbiera S, Faucz FR et al.. Constitutive activation of PKA catalytic subunit in adrenal Cushing's syndrome. New England Journal of Medicine 2014 370 10191028. (doi:10.1056/NEJMoa1310359).

    • Search Google Scholar
    • Export Citation
  • 28

    Cao Y, He M, Gao Z, Peng Y, Li Y, Li L, Zhou W, Li X, Zhong X, Lei Y et al.. Activating hotspot L205R mutation in PRKACA and adrenal Cushing's syndrome. Science 2014 344 913917. (doi:10.1126/science.1249480).

    • Search Google Scholar
    • Export Citation
  • 29

    Goh G, Scholl UI, Healy JM, Choi M, Prasad ML, Nelson-Williams C, Kuntsman JW, Korah R, Suttorp AC, Dietrich D et al.. Recurrent activating mutation in PRKACA in cortisol-producing adrenal tumors. Nature Genetics 2014 46 613617. (doi:10.1038/ng.2956).

    • Search Google Scholar
    • Export Citation
  • 30

    Sato Y, Maekawa S, Ishii R, Sanada M, Morikawa T, Shiraishi Y, Yoshida K, Nagata Y, Sato-Otsubo A, Yoshizato T et al.. Recurrent somatic mutations underlie corticotropin-independent Cushing's syndrome. Science 2014 344 917920. (doi:10.1126/science.1252328).

    • Search Google Scholar
    • Export Citation
  • 31

    Di Dalmazi G, Kisker C, Calebiro D, Mannelli M, Canu L, Arnaldi G, Quinkler M, Rayes N, Tabarin A, Laure Jullie M et al.. Novel somatic mutations in the catalytic subunit of the protein kinase A as a cause of adrenal Cushing's syndrome: a European Multicentric Study. Journal of Clinical Endocrinology and Metabolism 2014 99 E2093E2100. (doi:10.1210/jc.2014-2152).

    • Search Google Scholar
    • Export Citation
  • 32

    Coste J, Tissier F, Pouchot J, Ecosse E, Rouquette A, Bertagna X, Libe R, Viallon V. Rasch analysis for assessing unidimensionality and identifying measurement biases of malignancy scores in oncology. The example of the Weiss histopathological system for the diagnosis of adrenocortical cancer. Cancer Epidemiology 2014 38 200208. (doi:10.1016/j.canep.2014.02.004).

    • Search Google Scholar
    • Export Citation
  • 33

    Shono T, Sakai H, Irie J, Kawai K, Kanetake H, Saito Y. Relationship between flow cytometric DNA ploidy and nuclear grade with endocrine dysfunction in adrenal cortical adenomas. Urology 2000 56 337341. (doi:10.1016/S0090-4295(00)00568-9).

    • Search Google Scholar
    • Export Citation

 

  • Collapse
  • Expand

     European Society of Endocrinology

Sept 2018 onwards Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 1489 1425 46
PDF Downloads 1223 1176 39
  • View in gallery

    Relationship between cortisol secretion and unenhanced CT attenuation value. The x-axis represents the level of diurnal cortisol secretion expressed as 24-h urine free cortisol (UFC) times upper limit of normal (×ULN). Note that the x-axis is represented as a logarithmic scale. The vertical line separates the Non Hyper-ACA group (ULN ≤1) from the Cush-ACA group (ULN >1). The y-axis represents the unenhanced CT attenuation value expressed in Hounsfield unit (HU). The horizontal line indicates the 10 HU threshold value used in clinical practice to identify lipid-rich adenomas (below 10 HU). The adenomas with >25% of clear cells (empty circles) are compared to the adenomas with <25% of clear cells (full circles).