ReviewSkeletal radiology2023
Clinical application of ultrashort echo time (UTE) and zero echo time (ZTE) magnetic resonance (MR) imaging in the evaluation of osteoarthritis.
Review in Skeletal radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 38 citations in OpenAlex.
- Zero echo time MRI with deep learning reconstruction and chemical shift correction for detecting osteolytic myeloma lesions.European radiology experimental · 2026Trial
- Diagnostic performance of zero-echo time (ZTE) MRI for preoperative evaluation of cervical OPLL complicated with dural ossification (DO): a retrospective study.Skeletal radiology · 2026Article
- Subchondral bone abnormalities in the knee: imaging techniques, regional anatomy, and pathology.Skeletal radiology · 2026Review
- Deep Learning-Augmented Zero Echo Time MRI Increases Diagnostic Confidence for Osseous Assessment in Hand and Foot MRI Protocols.Diagnostics (Basel, Switzerland) · 2026Article
- Subject-Specific Finite Element Analysis of the Human Femur Using Radiation-Free Three-Dimensional Zero-Echo-Time Magnetic Resonance Imaging (3D ZTE MRI): A Feasibility Study.Life (Basel, Switzerland) · 2026Article
- Comprehensive zonal assessment of meniscal degeneration using quantitative UTE MRI.Osteoarthritis and cartilage · 2026Article
- AI in Musculoskeletal Imaging: An End-to-End Perspective.Journal of clinical medicine · 2026Review
- Motion-robust myelin imaging in MRI using 1D projection gating.Scientific reports · 2026Article
- Optimized 3D UTE and ZTE MRI for high-resolution lung imaging: A comparative study.Magnetic resonance in medicine · 2026Article
- Fast 3D UTE in vivo TMagnetic resonance in medicine · 2026Article
- Diagnosing Ankylosing Spondylitis via Architecture-Modified ResNet and Combined Conventional Magnetic Resonance Imagery.Journal of imaging informatics in medicine · 2025Article
- Current Landscape of Short-T2 Imaging Techniques in the Musculoskeletal System: The Past, Present and Future.Journal of magnetic resonance imaging : JMRI · 2025Review
- Motion-Robust Direct Myelin Imaging in MRI using Self-Gating.Research square · 2025Article
- Deep learning-enhanced zero echo time MRI for glenohumeral assessment in shoulder instability: a comparative study with CT.Skeletal radiology · 2025Article
- Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?La Radiologia medica · 2025Review
- Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spine.Insights into imaging · 2025Article
- Enhanced bone assessment of the shoulder using zero-echo time MRI with deep-learning image reconstruction.Skeletal radiology · 2024Article
- An MRI-Based Method for the Morphologic Assessment of the Anterior Tibial Tuberosity.Journal of clinical medicine · 2024Article
- Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024Article
- The design of a sample rapid magnetic resonance imaging (MRI) acquisition protocol supporting assessment of multiple articular tissues and pathologies in knee osteoarthritis.Osteoarthritis and cartilage open · 2024Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Novel compositional magnetic resonance (MR) imaging techniques have allowed for both the qualitative and quantitative assessments of tissue changes in osteoarthritis, many of which are difficult to characterize on conventional MR imaging. Ultrashort echo time (UTE) and zero echo time (ZTE) MR imaging have not been broadly implemented clinically but have several applications that leverage contrast mechanisms for morphologic evaluation of bone and soft tissue, as well as biochemical assessment in various stages of osteoarthritis progression. Many of the musculoskeletal tissues implicated in the initiation and progression of osteoarthritis are short T2 in nature, appearing dark as signal has already decayed to its minimum when image sampling starts. UTE and ZTE MR imaging allow for the qualitative and quantitative assessments of these short T2 tissues (bone, tendon, calcified cartilage, meniscus, and ligament) with both structural and functional reference standards described in the literature [1-3]. This review will describe applications of UTE and ZTE MR imaging in musculoskeletal tissues focusing on its role in knee osteoarthritis. While the review will address tissue-specific applications of these sequences, it is understood that osteoarthritis is a whole joint process with involvement and interdependence of all tissues. KEY POINTS: • UTE MR imaging allows for the qualitative and quantitative evaluation of short T2 tissues (bone, calcified cartilage, and meniscus), enabling identification of both early degenerative changes and subclinical injuries that may predispose to osteoarthritis. • ZTE MR imaging allows for the detection of signal from bone, which has some of the shortest T2 values, and generates tissue contrast similar to CT, potentially obviating the need for CT in the assessment of osseous features of osteoarthritis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.