Pituitary MRI in Cushing's disease - an update.


Journal

Journal of neuroendocrinology
ISSN: 1365-2826
Titre abrégé: J Neuroendocrinol
Pays: United States
ID NLM: 8913461

Informations de publication

Date de publication:
08 2022
Historique:
received: 07 02 2022
accepted: 17 02 2022
pubmed: 31 3 2022
medline: 15 9 2022
entrez: 30 3 2022
Statut: ppublish

Résumé

Pituitary MRI is essential in the diagnosis of ACTH-dependent Cushing's syndrome, but its results are inconsistent. The demonstration of a sellar image compatible with the diagnosis of corticotropinoma varies from 40% to 90%, depending on the centre where the imaging is performed. In fact, the expertise of the neuroradiologist, use of a Tesla 3.0 MRI and choice of sequences are fundamental. The T2 and 3D gradient echo sequences after gadolinium injection are the most informative and today allow the detection of macro- and microadenomas in almost all cases. The diagnosis of numerous picoadenomas (<3-4 mm) is more challenging. The 2D and 3D spin echo or delayed T1 SE or FLAIR sequences after gadolinium can be used as a complement or to confirm a suspicious image. Characterization of corticotropinomas remains problematic. However, the correct assessment of so-called incidentalomas by recognizing artifacts, anatomical variants and frequent Rathke's cleft cysts eliminates around 90% of the incidentalomas that mimic pituitary adenomas, as repetitively reported in the literature. For the time being, there is reason to believe that hybrid imaging combining PET and MRI such as 11C-methionine PET coregistered with volumetric MRI will solve the diagnosis of corticotropinomas in the near future.

Identifiants

pubmed: 35352410
doi: 10.1111/jne.13123
doi:

Substances chimiques

Gadolinium AU0V1LM3JT

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13123

Informations de copyright

© 2022 British Society for Neuroendocrinology.

Références

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Auteurs

Jean-François Bonneville (JF)

Department of Medical Imaging, Centre Hospitalier Universitaire de Liège, Université de Liège, Domaine Universitaire du Sart Tilman, Liège, Belgium.

Iulia Potorac (I)

Department of Endocrinology, Centre Hospitalier Universitaire de Liège, Université de Liège, Domaine Universitaire du Sart Tilman, Liège, Belgium.

Patrick Petrossians (P)

Department of Endocrinology, Centre Hospitalier Universitaire de Liège, Université de Liège, Domaine Universitaire du Sart Tilman, Liège, Belgium.

Luaba Tshibanda (L)

Department of Medical Imaging, Centre Hospitalier Universitaire de Liège, Université de Liège, Domaine Universitaire du Sart Tilman, Liège, Belgium.

Albert Beckers (A)

Department of Endocrinology, Centre Hospitalier Universitaire de Liège, Université de Liège, Domaine Universitaire du Sart Tilman, Liège, Belgium.

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