Musculoskeletal CT Imaging: State-of-the-Art Advancements and Future Directions.

TitleMusculoskeletal CT Imaging: State-of-the-Art Advancements and Future Directions.
Publication TypeJournal Article
Year of Publication2023
AuthorsDemehri S, Baffour FI, Klein JG, Ghotbi E, Ibad HAhmed, Moradi K, Taguchi K, Fritz J, Carrino JA, Guermazi A, Fishman EK, Zbijewski WB
JournalRadiology
Volume308
Issue2
Paginatione230344
Date Published2023 Aug
ISSN1527-1315
KeywordsArtificial Intelligence, Cone-Beam Computed Tomography, Four-Dimensional Computed Tomography, Humans, Lower Extremity, Motion
Abstract

CT is one of the most widely used modalities for musculoskeletal imaging. Recent advancements in the field include the introduction of four-dimensional CT, which captures a CT image during motion; cone-beam CT, which uses flat-panel detectors to capture the lower extremities in weight-bearing mode; and dual-energy CT, which operates at two different x-ray potentials to improve the contrast resolution to facilitate the assessment of tissue material compositions such as tophaceous gout deposits and bone marrow edema. Most recently, photon-counting CT (PCCT) has been introduced. PCCT is a technique that uses photon-counting detectors to produce an image with higher spatial and contrast resolution than conventional multidetector CT systems. In addition, postprocessing techniques such as three-dimensional printing and cinematic rendering have used CT data to improve the generation of both physical and digital anatomic models. Last, advancements in the application of artificial intelligence to CT imaging have enabled the automatic evaluation of musculoskeletal pathologies. In this review, the authors discuss the current state of the above CT technologies, their respective advantages and disadvantages, and their projected future directions for various musculoskeletal applications.

DOI10.1148/radiol.230344
Alternate JournalRadiology
PubMed ID37606571
PubMed Central IDPMC10477515
Grant ListR01 EB018896 / EB / NIBIB NIH HHS / United States
R01 EB025470 / EB / NIBIB NIH HHS / United States
R01 EB029446 / EB / NIBIB NIH HHS / United States

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065