State of the Art Imaging of Osteoporosis.


Journal

Seminars in nuclear medicine
ISSN: 1558-4623
Titre abrégé: Semin Nucl Med
Pays: United States
ID NLM: 1264464

Informations de publication

Date de publication:
11 Dec 2023
Historique:
received: 17 10 2023
revised: 24 10 2023
accepted: 24 10 2023
medline: 13 12 2023
pubmed: 13 12 2023
entrez: 13 12 2023
Statut: aheadofprint

Résumé

Osteoporosis is a common disease, particularly prevalent in geriatric populations, which causes significant worldwide morbidity due to increased bone fragility and fracture risk. Currently, the gold-standard modality for diagnosis and evaluation of osteoporosis progression and treatment relies on dual-energy x-ray absorptiometry (DXA), which measures bone mineral density (BMD) and calculates a score based upon standard deviation of measured BMD from the mean. However, other imaging modalities can also be used to evaluate osteoporosis. Here, we review historical as well as current research into development of new imaging modalities that can provide more nuanced or opportunistic analyses of bone quality, turnover, and density that can be helpful in triaging severity and determining treatment success in osteoporosis. We discuss the use of opportunistic computed tomography (CT) scans, as well as the use of quantitative CT to help determine fracture risk and perform more detailed bone quality analysis than would be allowed by DXA . Within magnetic resonance imaging (MRI), new developments include the use of advanced MRI techniques such as quantitative susceptibility mapping (QSM), magnetic resonance spectroscopy, and chemical shift encoding-based water-fat MRI (CSE-MRI) to enable clinicians improved assessment of nonmineralized bone compartments as well as a way to longitudinally assess bone quality without the repeated exposure to ionizing radiation. Within ultrasound, development of quantitative ultrasound shows promise particularly in future low-cost, broadly available screening tools. We focus primarily on historical and recent developments within radiotracer use as applicable to osteoporosis, particularly in the use of hybrid methods such as NaF-PET/CT, wherein patients with osteoporosis show reduced uptake of radiotracers such as NaF. Use of radiotracers may provide clinicians with even earlier detection windows for osteoporosis than would traditional biomarkers. Given the metabolic nature of this disease, current investigation into the role molecular imaging can play in the prediction of this disease as well as in replacing invasive diagnostic procedures shows particular promise.

Identifiants

pubmed: 38087745
pii: S0001-2998(23)00089-2
doi: 10.1053/j.semnuclmed.2023.10.008
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Michelle Chen (M)

Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.

Maria Gerges (M)

Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA; Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL.

William Y Raynor (WY)

Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Department of Radiology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ.

Peter Sang Uk Park (PSU)

Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.

Edward Nguyen (E)

Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.

David H Chan (DH)

Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.

Ali Gholamrezanezhad (A)

Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA. Electronic address: Ali.Gholamrezanezhad@med.usc.edu.

Classifications MeSH