4D SPECT/CT: A Hybrid Approach to Primary Hyperparathyroidism.


Journal

Journal of nuclear medicine technology
ISSN: 1535-5675
Titre abrégé: J Nucl Med Technol
Pays: United States
ID NLM: 0430303

Informations de publication

Date de publication:
05 Jun 2024
Historique:
received: 01 11 2023
revised: 17 01 2024
medline: 6 6 2024
pubmed: 6 6 2024
entrez: 5 6 2024
Statut: epublish

Résumé

Our rationale was to review the imaging options for patients with primary hyperparathyroidism and to advocate for judicious use of 4-dimensional (4D) SPECT/CT to visualize diseased parathyroid glands in patients with complex medical profiles or in whom other imaging modalities fail. We review the advantages and disadvantages of traditional imaging modalities used in preoperative assessment of patients with primary hyperparathyroidism: ultrasound, SPECT, and 4D CT. We describe a scheme for optimizing and individualizing preoperative imaging of patients with hyperfunctioning parathyroid glands using traditional modalities in tandem with 4D SPECT/CT. Using the input from radiologists, endocrinologists, and surgeons, we apply patient criteria such as large body habitus, concomitant multiglandular disease, multinodular thyroid disease, confusing previous imaging, and unsuccessful previous surgery to create an imaging paradigm that uses 4D SPECT/CT yet is cost-effective, accurate, and limits extraneous radiation exposure. 4D SPECT/CT capitalizes on the strengths of SPECT and 4D CT and addresses limitations that exist when these modalities are used in isolation. In select patients with complicated clinical parameters, preoperative imaging with 4D SPECT/CT can improve accuracy yet remain cost-effective.

Identifiants

pubmed: 38839121
pii: jnmt.123.266990
doi: 10.2967/jnmt.123.266990
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

86-90

Informations de copyright

© 2024 by the Society of Nuclear Medicine and Molecular Imaging.

Auteurs

Ashima Agarwal (A)

University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; asa115@pitt.edu.

Katie S Traylor (KS)

Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; and.

Barton F Branstetter (BF)

Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; and.

Allison Weyer (A)

Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; and.

Kelly L McCoy (KL)

Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.

Ashok Muthukrishnan (A)

Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; and.

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Classifications MeSH