Quick answer
An adrenal incidentaloma is a mass of the adrenal gland discovered incidentally during a CT or MRI performed for another reason. Its frequency increases with age; further work-up clarifies whether it is benign and whether it is hormonally active.
What is an adrenal incidentaloma?
An adrenal incidentaloma is a mass of the adrenal gland discovered incidentally during an imaging examination (CT or MRI) performed for a reason unrelated to the adrenal gland. Its frequency increases with age and with the widespread use of CT in the work-up of many abdominal conditions: it is estimated at about 5% of abdominal CT scans performed in adults.
The vast majority of these findings correspond to a benign adrenal adenoma, a non-secreting tumour with no potential for progression. Adrenocortical carcinoma is a rare but aggressive malignant tumour, whose early diagnosis strongly determines the prognosis - hence the importance of rigorous imaging characterisation before any decision on surveillance or surgical management.
The role of imaging: distinguishing adenoma from adrenocortical carcinoma
Most adrenal adenomas are rich in intracellular fat, which allows simple and reliable characterisation on unenhanced CT by measuring the spontaneous density of the lesion (in Hounsfield units). A mass with low spontaneous density is considered a typical adenoma, with no need for further investigation.
The diagnostic difficulty concerns lipid-poor adenomas, whose CT appearance resembles that of a malignant lesion. In this situation, multiparametric MRI is indicated to refine the characterisation, combining:
- In-phase and opposed-phase sequences (chemical-shift imaging): looking for a signal drop reflecting the presence of intracellular fat, even in small amounts.
- Diffusion sequences: measurement of the apparent diffusion coefficient (ADC), generally lower in malignant lesions because of denser tumour cellularity.
An algorithm combining the signal drop index on chemical-shift sequences and the apparent diffusion coefficient can discriminate a lipid-poor adenoma from an adrenocortical carcinoma with an accuracy of about 75%. Combining this algorithm with lesion size (4 cm threshold) improves the sensitivity for detecting adrenocortical carcinoma up to 96%.
Staging and the international ENSAT network
When the diagnosis of adrenocortical carcinoma is confirmed or strongly suspected, staging relies on the classification of the European Network for the Study of Adrenal Tumors (ENSAT), which is the reference for the prognostic stratification of this rare tumour. Recent research shows that a score combining CT morphological criteria (shape elongation, maximum tumour diameter) with the ENSAT stage further refines prognostic stratification compared with the ENSAT stage alone.
This approach is part of a broader movement towards radiomics and artificial intelligence applied to adrenal imaging, aiming to extract quantitative biomarkers from images to improve the characterisation and prognosis of adrenal tumours, beyond visual reading alone.
Patient pathway
- Unenhanced CT: first step when an adrenal mass is discovered incidentally, for an initial characterisation based on spontaneous density.
- Biochemical hormonal work-up: systematically associated, looking for hormonal secretion (cortisol, aldosterone, metanephrines) that may guide management regardless of whether the lesion is benign or malignant.
- Multiparametric MRI: in the case of a lipid-poor adenoma or inconclusive CT characterisation.
- Image-guided percutaneous biopsy: reserved for selected situations, in consultation with the endocrinologist, in the absence of a context suggestive of phaeochromocytoma (a classic contraindication to biopsy).
- Multidisciplinary meeting (endocrinology, endocrine surgery, radiology): required for any indeterminate or suspicious adrenal mass, to decide between surveillance and surgical resection.
Frequently asked questions
What is an adrenal incidentaloma?
Is an adrenal incidentaloma often cancerous?
Which examinations can characterise an adrenal incidentaloma?
📚 Key publications
Oloukoi C, Dohan A, Gaillard M, Hoeffel C, Groussin-Rouiller L, Bertherat J, Jouinot A, Assié G, Fuks D, Sibony M, Soyer P, Jannot AS, Barat M. Diagn Interv Imaging. 2024;105(10):355-363.
Barat M, Eltaher M, Moawad AW, Soyer P, Fuentes D, Golse M, Jouinot A, Ahmed AA, Shehata MA, Assié G, Elmohr MM, Haissaguerre M, Habra MA, Hoeffel C, Elsayes KM, Bertherat J, Dohan A. Can Assoc Radiol J. 2025.
Barat M, Gaillard M, Dohan A, Puygrenier P, Assié G, Violon F, Libé R, Soyer P. Can Assoc Radiol J. 2026 Apr 18.
Lanoix J, Djelouah M, Chocardelle L, Deguelte S, Delemer B, Dohan A, Soyer P, Barat M, Hoeffel C. Abdom Radiol (NY). 2022;47(3):1098-1111.
Huang Z, Dohan A, Assié G, Gaillard M, Violon F, Jouinot A, et al. Eur J Radiol. 2026;201:112907.
Barat M, Gaillard M, Cottereau AS, Fishman EK, Assié G, Jouinot A, et al. Diagn Interv Imaging. 2023.
Kedra A, Dohan A, Gaujoux S, Sibony M, Jouinot A, Assié G, Groussin Rouiller L, Libé R, Bertherat J, Soyer P, Barat M. Cancers (Basel). 2021;13(7):1603.
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✓ Why this page is trustworthy
Written by the Interventional Radiology team at Cochin Hospital AP-HP, Université Paris Cité. Medically reviewed by an interventional radiologist of the department. Last updated: August 2026.
