Detection of a Meckel's diverticulum on PSMA PET/CT: A case report.

Functional imaging Meckel's diverticulum PET/CT PSMA Prostate cancer

Journal

Urology case reports
ISSN: 2214-4420
Titre abrégé: Urol Case Rep
Pays: United States
ID NLM: 101626357

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 21 05 2020
revised: 10 06 2020
accepted: 16 06 2020
entrez: 26 10 2020
pubmed: 27 10 2020
medline: 27 10 2020
Statut: epublish

Résumé

Meckel's diverticulum is the most common congenital malformation of the gastrointestinal tract. In this report, we present a patient with a Meckel's diverticulum that was incidentally discovered on prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) imaging performed for prostate cancer staging. We discuss hypotheses for why the Meckel's diverticulum showed high uptake of PSMA-targeted radiotracer and the clinical implications of this finding.

Identifiants

pubmed: 33102009
doi: 10.1016/j.eucr.2020.101306
pii: S2214-4420(20)30194-7
pmc: PMC7573858
doi:

Types de publication

Case Reports

Langues

eng

Pagination

101306

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest.

Références

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Auteurs

Mitchell M Huang (MM)

The James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Hiten D Patel (HD)

The James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Andres Matoso (A)

The James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Jose R Kauffmann (JR)

Clínica Urológica José Roberto Kauffmann, São Paulo, Brazil.

Mohamad E Allaf (ME)

The James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Classifications MeSH