Novel Quantitative PET Imaging Techniques in Tuberculosis.


Journal

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

Informations de publication

Date de publication:
Apr 2020
Historique:
entrez: 9 3 2020
pubmed: 9 3 2020
medline: 15 12 2020
Statut: ppublish

Résumé

The role of fluorodeoxyglucose (FDG)-PET/computed tomography (CT) in tuberculosis (TB) continues to expand in disease detection, assessment of the extent of the disease, and treatment response monitoring. This article reviews available data regarding the use of FDG-PET/CT in patients with TB. A new method of quantification for patients with TB is introduced. This method produces robust parameters that represent the total disease burden.

Identifiants

pubmed: 32145893
pii: S1556-8598(19)30105-1
doi: 10.1016/j.cpet.2019.11.010
pii:
doi:

Substances chimiques

Radiopharmaceuticals 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

231-240

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Viplav Deogaonkar (V)

Department of Radiology, Hospital of University of Pennsylvania, Philadelphia, PA 19104, USA.

Bangkim Chandra Khangembam (B)

Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi 110029, India.

Siavash Mehdizadeh Seraj (SM)

Department of Radiology, Hospital of University of Pennsylvania, Philadelphia, PA 19104, USA.

Abass Alavi (A)

Department of Radiology, Hospital of University of Pennsylvania, Philadelphia, PA 19104, USA.

Rakesh Kumar (R)

Diagnostic Nuclear Medicine Division, All India Institute of Medical Sciences, New Delhi 110029, India. Electronic address: rkphulia@yahoo.com.

Mboyo-di-Tamba Vangu (MD)

Department of Nuclear Medicine, University of Johannesburg, PO Box 524, Auckland Park 2006, South Africa.

Gregory Bisson (G)

Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA 19104-602, USA.

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Classifications MeSH