ReviewRadiology2023
Musculoskeletal CT Imaging: State-of-the-Art Advancements and Future Directions.
Abstract readReview
In one paragraph
Review in Radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnosis and Treatment of Nontraumatic Osteonecrosis of the Femoral Head: A Systematic Review and Meta-Analyses for the ARCO Clinical Practice Guideline Development Workgroup.Medical sciences (Basel, Switzerland) · 2026Pooled it
- Application of upright multidetector CT in orthopedics and the musculoskeletal system: insights into anatomy, alignment, and biomechanics.Japanese journal of radiology · 2026Review
- Pediatric pseudo-tumor of the ischio-pubic ramus in virtual non-calcium photon-counting scanner: A case report.Radiology case reports · 2026Article
- Cinematic rendering in traumatic musculoskeletal injuries of the lower extremity: a pictorial review.Emergency radiology · 2026Review
- ESR Essentials: juvenile idiopathic arthritis; what every radiologist needs to know-practice recommendations by the European Society of Paediatric Radiology.European radiology · 2026Review
- Current Trends and Future Directions in the Diagnosis and Management of Pediatric Orthopedic Disorders.Cureus · 2026Review
- Diagnostic accuracy of radiography techniques for musculoskeletal disorders.Bioinformation · 2026Article
- Photon-Counting CT in Musculoskeletal Radiology: Technical Principles, Clinical Applications, and Future Directions.Journal of the Belgian Society of Radiology · 2026Review
- Status, challenges, and prospects of artificial intelligence application in gout diagnosis and treatment, drug research and development, and disease monitoring.Frontiers in medicine · 2026Review
- Dual-energy CT material decomposition in the presence of nonuniqueness.Physics in medicine and biology · 2025Article
- Diagnostic Imaging of the Skeletal System: Overview of Applications in Human and Veterinary Medicine.Bioengineering (Basel, Switzerland) · 2025Review
- [Artificial intelligence in fracture diagnostics : Potentials and challenges in the clinical practice].Unfallchirurgie (Heidelberg, Germany) · 2025Review
- Current and future role of CT and advanced CT applications in inflammatory arthritis in the clinic and trials.Skeletal radiology · 2025Review
- Diagnostic performance of dual-energy CT for opportunistic detection of rotator cuff disease: a retrospective multireader study.Insights into imaging · 2025Article
- Cone beam CT in the imaging of musculoskeletal trauma: a scoping review.Skeletal radiology · 2025Article
- Raman Monitoring ofInternational journal of molecular sciences · 2025Article
- Diagnosing Plantar Plate Injuries: A Narrative Review of Clinical and Imaging Approaches.Diagnostics (Basel, Switzerland) · 2025Review
- Gantry-free cone-beam CT arthrography for diagnosis of scapholunate ligament injuries: accelerating the preoperative work-up in acute wrist trauma.European radiology · 2025Article
- Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment.Diagnostics (Basel, Switzerland) · 2025Review
- Evaluating the pivotal role of MRI in craniocervical junction injury diagnosis: A case report.Medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Shadpour DemehriFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).ORCID 0000-0001-5991-5924
Francis I BaffourFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).ORCID 0000-0001-8005-4823
Joshua G KleinFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).ORCID 0000-0002-7810-6767
Elena GhotbiFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).ORCID 0000-0001-7784-2335
Hamza Ahmed IbadFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).ORCID 0000-0003-1557-9484
Kamyar MoradiFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).
Katsuyuki TaguchiFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).ORCID 0000-0002-3437-2107
Jan FritzFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).ORCID 0000-0003-4456-3043
John A CarrinoFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).
Ali GuermaziFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).ORCID 0000-0002-9374-8266
Elliot K FishmanFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).ORCID 0000-0002-2567-1658
Wojciech B ZbijewskiFrom the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).ORCID 0000-0001-7593-5394
Funding
Quantitative high resolution cone beam CT for assessment of bone and joint healthR01EB018896 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ZBIJEWSKI, WOJCIECH BARTOSZ · 2014 to 2017
$2.0MQuantitative bone radiomics using Ultra-High Resolution CTR01EB029446 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ZBIJEWSKI, WOJCIECH BARTOSZ · 2021 to 2024
$1.7MMonitoring of fractures with internal fixators using weight-bearing quantitative cone beam CTR01EB025470 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI STAYMAN, JOSEPH WEBSTER, ZBIJEWSKI, WOJCIECH BARTOSZ · 2018 to 2021
$1.5MNIBIB NIH HHS R01 EB018896NIBIB NIH HHS R01 EB025470NIBIB NIH HHS R01 EB029446
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.
Indexed as
Artificial IntelligenceCone-Beam Computed TomographyFour-Dimensional Computed TomographyHumansLower ExtremityMotion
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