Skeletal Metastasis Evaluation: Value and Impact of PET/Computed Tomography on Diagnosis, Management and Prognosis.


Journal

PET clinics
ISSN: 1879-9809
Titre abrégé: PET Clin
Pays: United States
ID NLM: 101260152

Informations de publication

Date de publication:
Jan 2019
Historique:
entrez: 14 11 2018
pubmed: 14 11 2018
medline: 31 1 2019
Statut: ppublish

Résumé

A number of PET agents are useful for evaluation of skeletal metastatic disease, and have significant advantages over 99mTc-MDP scintigraphy, including superior diagnostic accuracy, higher spatial resolution, and shorter imaging times- often with the ability to depict soft tissue local recurrence and metastasis in the same examination. While these agents have excellent diagnostic utility, they are not 100% specific for skeletal metastasis, and so normal patterns of biodistribution, benign osseous lesions that may demonstrate radiotracer uptake, and the significance of morphologic changes on CT such as osteolysis or osteosclerosis must be kept in mind to ensure accurate interpretation.

Identifiants

pubmed: 30420213
pii: S1556-8598(18)30095-6
doi: 10.1016/j.cpet.2018.08.006
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

103-120

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

Stephen M Broski (SM)

Division of Nuclear Medicine, Department of Radiology, Mayo Clinic, 200 1st Street, SW Rochester, MN 55905, USA.

Jason R Young (JR)

Division of Nuclear Medicine, Department of Radiology, Mayo Clinic, 200 1st Street, SW Rochester, MN 55905, USA.

Ayse T Kendi (AT)

Division of Nuclear Medicine, Department of Radiology, Mayo Clinic, 200 1st Street, SW Rochester, MN 55905, USA.

Rathan M Subramaniam (RM)

Division of Nuclear Medicine, Department of Radiology, Harold Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-8896, USA. Electronic address: rathan.subramaniam@UTsouthwestern.edu.

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Classifications MeSH