The detection of pathological parathyroid glands is facilitated by identifying vascular features on ultrasound: the potential benefit of a low-frequency vascular probe.

Parathyroid Pre-operative imaging Primary hyperparathyroidism Ultrasound

Journal

Endocrine
ISSN: 1559-0100
Titre abrégé: Endocrine
Pays: United States
ID NLM: 9434444

Informations de publication

Date de publication:
08 Aug 2024
Historique:
received: 27 06 2024
accepted: 28 07 2024
medline: 8 8 2024
pubmed: 8 8 2024
entrez: 8 8 2024
Statut: aheadofprint

Résumé

To evaluate the potential benefit of adding a low frequency vascular probe to the conventional pre-operative ultrasound examination of patients with primary hyperparathyroidism. A prospective cohort of 136 patients with primary hyperparathyroidism underwent a conventional ultrasound examination of the neck with a high frequency ( > 10 MHz) linear ultrasound probe, followed by an add-on examination with a low frequency vascular probe. For each ultrasound probe, and for every potential parathyroid lesion, the presence of a feeding vessel, a polar placement of the feeding vessel, and the presence of a vascular arch was recorded. A total of 146 ultrasound lesions were evaluated for vascularity by each probe. For both ultrasound probes, the odds of a hyperfunctioning parathyroid gland being correctly identified increased with the number of visible vascular features. The vascular probe identified a significantly higher number of vascular features among ultrasound true positive glands compared with the conventional probe (p < 0.0001). Among histopathologically verified pathological parathyroid glands, the vascular probe identified 20% more feeding vessels, 27% more polar placements of the feeding vessel, and 65% more vascular arches than the high frequency probe. However, the diagnostic confidence score for true positive glands did not differ significantly between the probes (p = 0.11). The addition of a low frequency vascular probe increases the number of visible vascular features in hyperfunctioning parathyroid glands, which facilitates their preoperative detection. Whether or not this can increase the diagnostic confidence of ultrasound examiners has yet to be substantiated.

Identifiants

pubmed: 39115784
doi: 10.1007/s12020-024-03986-y
pii: 10.1007/s12020-024-03986-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s).

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Auteurs

Sanne Høxbroe Michaelsen (SH)

Research Unit for ORL - Head & Neck Surgery and Audiology, Odense University Hospital, Odense, Denmark. sanne.hoxbroe.michaelsen@rsyd.dk.
Department of Clinical Research, University of Southern Denmark, Odense, Denmark. sanne.hoxbroe.michaelsen@rsyd.dk.
OPEN, Open Patient data Explorative Network, Odense University Hospital, Odense, Denmark. sanne.hoxbroe.michaelsen@rsyd.dk.

Mette Bay (M)

Research Unit for ORL - Head & Neck Surgery and Audiology, Odense University Hospital, Odense, Denmark.

Oke Gerke (O)

Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark.

Ole Graumann (O)

Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Department of Nuclear Medicine, Aarhus University Hospital, Aarhus, Denmark.

Anders Rørbæk Madsen (AR)

Research Unit for ORL - Head & Neck Surgery and Audiology, Odense University Hospital, Odense, Denmark.

Christian Godballe (C)

Research Unit for ORL - Head & Neck Surgery and Audiology, Odense University Hospital, Odense, Denmark.
Department of Clinical Research, University of Southern Denmark, Odense, Denmark.

Steen Joop Bonnema (SJ)

Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Department of Endocrinology, Odense University Hospital, Odense, Denmark.

Viveque Egsgaard Nielsen (VE)

Research Unit for ORL - Head & Neck Surgery and Audiology, Odense University Hospital, Odense, Denmark.
Department of Clinical Research, University of Southern Denmark, Odense, Denmark.

Classifications MeSH