The role of 68Ga-DOTA derivatives PET-CT in patients with ectopic ACTH syndrome.

68Ga-SSTR-PET/CT computed tomography diagnosis ectopic Cushing’s syndrome

Journal

Endocrine connections
ISSN: 2049-3614
Titre abrégé: Endocr Connect
Pays: England
ID NLM: 101598413

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 13 03 2020
accepted: 26 03 2020
pubmed: 28 3 2020
medline: 28 3 2020
entrez: 28 3 2020
Statut: ppublish

Résumé

Ectopic ACTH secretion (EAS) is mostly secondary to thoracic/abdominal neuroendocrine tumours (NETs) or small cell-lung carcinoma (SCLC). We studied the diagnostic accuracy of CT with 68Ga-Dota derivatives (68Ga-SSTR) PET in localizing ACTH-secreting tumor in patients with EAS. 68Ga-SSTR-PET/CT was performed and compared with the nearest enhanced CT in 18 cases (16 primary and 2 recurrent neoplasms). Unspecific, indeterminate and false-positive uptakes were assessed using conventional imaging, follow-up or histology. We diagnosed 13 thoracic (9 primary and 2 recurrent bronchial carcinoids, 2 SCLCs) and 1 abdominal (pancreatic NET) tumors. Eight ACTH-secreting tumors were promptly identified at EAS diagnosis ('overt', four pulmonary carcinoids with two recurrences and two SCLC); six EAS have been discovered during the subsequent follow-up ('covert', five bronchial carcinoids and one pancreatic NET). At the time of EAS diagnosis, imaging was able to correctly detect the ACTH-secreting tumour in 8/18 cases (6 new diagnosis and 2 recurrences). During the follow-up, six out of initially ten 'occult' cases became 'covert'. At last available follow-up, CT and 68Ga-SSTR-PET/CT were able to diagnose 11/18 and 12/18 ACTH-secreting tumours, respectively (11/14 and 12/14 considering only overt and covert cases, respectively). Four cases have never been localized by conventional or nuclear imaging ('occult EAS'), despite an average follow-up of 5 years. The 68Ga-SSTR-PET/CT is useful in localizing EAS, especially to enhance positive prediction of the suggestive CT lesions and to detect occult neoplasms.

Identifiants

pubmed: 32213660
doi: 10.1530/EC-20-0089
pii: EC-20-0089.R1
pmc: PMC7219142
doi:
pii:

Types de publication

Journal Article

Langues

eng

Pagination

337-345

Auteurs

Filippo Ceccato (F)

Endocrinology Unit, Department of Medicine DIMED, University-Hospital of Padova, Padova, Italy.
Department of Neuroscience DNS, University of Padova, Padova, Italy.

Diego Cecchin (D)

Department of Neuroscience DNS, University of Padova, Padova, Italy.
Nuclear Medicine Unit, Department of Medicine - DIMED, University-Hospital of Padova, Padova, Italy.
Padova Neuroscience Center PNC, University of Padova, Padova, Italy.

Michele Gregianin (M)

Nuclear Medicine Unit, Castelfranco Veneto, Italy.

Giacomo Ricci (G)

Department of Neuroscience DNS, University of Padova, Padova, Italy.

Cristina Campi (C)

Padova Neuroscience Center PNC, University of Padova, Padova, Italy.
Department of Mathematics 'Tullio Levi-Civita' DM, University of Padova, Padova, Italy.

Filippo Crimì (F)

Radiology Unit, Department of Medicine DIMED, University-Hospital of Padova, Padova, Italy.

Marta Bergamo (M)

Endocrinology Unit, Department of Medicine DIMED, University-Hospital of Padova, Padova, Italy.

Annibale Versari (A)

Nuclear Medicine Unit, Reggio Emilia, Italy.

Carmelo Lacognata (C)

Radiology Department, University-Hospital of Padova, Padova, Italy.

Federico Rea (F)

Thoracic Surgery Unit, Department of Cardiac, Thoracic and Vascular Sciences, University Hospital of Padova, Padova, Italy.

Mattia Barbot (M)

Endocrinology Unit, Department of Medicine DIMED, University-Hospital of Padova, Padova, Italy.

Carla Scaroni (C)

Endocrinology Unit, Department of Medicine DIMED, University-Hospital of Padova, Padova, Italy.

Classifications MeSH