Evidence map›Paper›PMID 38441616›Full record

ReviewSkeletal radiology2024

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

Charbel Mourad, Lucia Gallego Manzano, Anaïs Viry, Ronald Booij, Edwin H G Oei, Fabio Becce, Patrick Omoumi

Abstract readReview
In one paragraph

Review in Skeletal radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. [Primary malignant bone tumours-part 1].Radiologie (Heidelberg, Germany) · 2026
    Review
  10. Article
  11. Advances in cartilage imaging techniques.Nature reviews. Rheumatology · 2026
    Review
  12. Article
  13. Article
  14. Costal cartilage mimics urate on DECT.Skeletal radiology · 2025
    Article
  15. Deep learning-based artefact reduction in low-dose dental cone beam computed tomography with high-attenuation materials.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Photon-counting computed tomography in radiology.Polish journal of radiology · 2024
    Review
  20. Computed tomography-current status and future directions for arthritis imaging.Therapeutic advances in musculoskeletal disease · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Charbel MouradDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Lucia Gallego Manzano *Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Anaïs Viry *Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Ronald BooijDepartment of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
Edwin H G OeiDepartment of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
Fabio BecceDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Patrick OmoumiDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland. Patrick.omoumi@chuv.ch.ORCID http://orcid.org/0000-0002-3251-3666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Musculoskeletal DiseasesPhotonsTomography, X-Ray ComputedHumansMusculoskeletal SystemCrystal arthropathiesHigh-resolution imagingMusculoskeletal imagingPhoton-counting CTSpectral imaging

Identifiers

PMID38441616
PMCPMC11303444

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.