Chances and challenges of photon-counting CT in musculoskeletal imaging.

Crystal arthropathies High-resolution imaging Musculoskeletal imaging Photon-counting CT Spectral imaging

Journal

Skeletal radiology
ISSN: 1432-2161
Titre abrégé: Skeletal Radiol
Pays: Germany
ID NLM: 7701953

Informations de publication

Date de publication:
05 Mar 2024
Historique:
received: 13 12 2023
accepted: 12 02 2024
revised: 12 02 2024
medline: 5 3 2024
pubmed: 5 3 2024
entrez: 5 3 2024
Statut: aheadofprint

Résumé

In musculoskeletal imaging, CT is used in a wide range of indications, either alone or in a synergistic approach with MRI. While MRI is the preferred modality for the assessment of soft tissues and bone marrow, CT excels in the imaging of high-contrast structures, such as mineralized tissue. Additionally, the introduction of dual-energy CT in clinical practice two decades ago opened the door for spectral imaging applications. Recently, the advent of photon-counting detectors (PCDs) has further advanced the potential of CT, at least in theory. Compared to conventional energy-integrating detectors (EIDs), PCDs provide superior spatial resolution, reduced noise, and intrinsic spectral imaging capabilities. This review briefly describes the technical advantages of PCDs. For each technical feature, the corresponding applications in musculoskeletal imaging will be discussed, including high-spatial resolution imaging for the assessment of bone and crystal deposits, low-dose applications such as whole-body CT, as well as spectral imaging applications including the characterization of crystal deposits and imaging of metal hardware. Finally, we will highlight the potential of PCD-CT in emerging applications, underscoring the need for further preclinical and clinical validation to unleash its full clinical potential.

Identifiants

pubmed: 38441616
doi: 10.1007/s00256-024-04622-6
pii: 10.1007/s00256-024-04622-6
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s).

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Auteurs

Charbel Mourad (C)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Department of Diagnostic Imaging and Interventional Therapeutics, Hôpital Libanais Geitaoui-CHU, Beyrouth, Lebanon.

Lucia Gallego Manzano (L)

Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.

Anaïs Viry (A)

Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.

Ronald Booij (R)

Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.

Edwin H G Oei (EHG)

Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.

Fabio Becce (F)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Patrick Omoumi (P)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland. Patrick.omoumi@chuv.ch.

Classifications MeSH