False positive metastatic disease due to combined thoracic and subcutaneous splenosis.

FDG PET False positive metastatic disease Heat damaged red blood cell scan Thoracic and subcutaneous splenosis

Journal

Radiology case reports
ISSN: 1930-0433
Titre abrégé: Radiol Case Rep
Pays: Netherlands
ID NLM: 101467888

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 31 10 2023
revised: 19 11 2023
accepted: 21 11 2023
medline: 8 1 2024
pubmed: 8 1 2024
entrez: 8 1 2024
Statut: epublish

Résumé

A 56-year-old man presented with dyspnea secondary to pulmonary emboli and dilated cardiomyopathy. His past medical history included a history of emergency laparotomy, splenectomy, and splenic flexure resection following a gunshot injury 30 years ago. CT and MRI imaging demonstrated multiple homogeneously enhancing lobulated lesions at the left-sided pleura and chest wall with an irregular calcified spleen. The aforementioned lesions demonstrated a similar level of tracer uptake to the splenic activity with no evidence of other FDG avid malignancy on the follow-up

Identifiants

pubmed: 38188960
doi: 10.1016/j.radcr.2023.11.050
pii: S1930-0433(23)00874-9
pmc: PMC10770489
doi:

Types de publication

Case Reports

Langues

eng

Pagination

872-875

Informations de copyright

© 2023 The Authors. Published by Elsevier Inc. on behalf of University of Washington.

Auteurs

Jeffrey Chen (J)

Department of Molecular Imaging Concord Hospital, Concord, NSW, Australia.

Robert Russo (R)

Department of Molecular Imaging Concord Hospital, Concord, NSW, Australia.
Faculty of Medicine and Health, University of Sydney, NSW, Australia.

Grace Yung (G)

Department of Molecular Imaging Concord Hospital, Concord, NSW, Australia.
Faculty of Medicine and Health, University of Sydney, NSW, Australia.

Clarence Yeong (C)

Department of Respiratory and Sleep Medicine, Concord Hospital, Concord, NSW, Australia.

Robert Mansberg (R)

Department of Molecular Imaging Concord Hospital, Concord, NSW, Australia.
Faculty of Medicine and Health, University of Sydney, NSW, Australia.

Classifications MeSH