ReviewInvestigative radiology2025
Photon-Counting Detector CT Applications in Musculoskeletal Radiology.
Review in Investigative radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Photon-counting CT in head and neck radiology: bridging detector physics and clinical applications.European radiology · 2026Review
- Assessing bone microstructure and density with photon-counting CT: emerging applications and challenges.Skeletal radiology · 2026Review
- Pediatric pseudo-tumor of the ischio-pubic ramus in virtual non-calcium photon-counting scanner: A case report.Radiology case reports · 2026Article
- CT-based micromotion analysis for tracking fracture displacement and fragment movement in trochanteric hip fractures: an agreement study.Acta orthopaedica · 2026Article
- Detection of lumbar disc herniation and degeneration using photon-counting detector CT with virtual non-calcium imaging.European radiology · 2026Article
- Diagnostic accuracy of Dual-Energy CT in detecting traumatic vertebral bone marrow edema: a prospective comparative study with MRI in the context of a level I trauma center.Neuroradiology · 2025Article
- The emerging role of photon-counting detector CT: primary experience on the integrated assessment of acute knee injuries.European radiology experimental · 2025Article
- Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment.Diagnostics (Basel, Switzerland) · 2025Review
- Simulated low-dose multi-detector computed tomography: spatial effects on surrogate parameters of bone strength at the proximal femur.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025Article
- The role of musculoskeletal radiologists in emergency and trauma settings: current and emerging imaging modalities.BJR open · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
abstractPhoton-counting detectors (PCDs) have emerged as one of the most influential technical developments for medical imaging in recent memory. Surpassing conventional systems with energy-integrating detector technology in many aspects, PCD-CT scanners provide superior spatial resolution and dose efficiency for all radiological subspecialities. Demanding detailed display of trabecular microarchitecture and extensive anatomical coverage frequently within the same scan, musculoskeletal (MSK) imaging in particular can be a beneficiary of PCD-CT's remarkable performance. Since PCD-CT provides users with a plethora of customization options for both image acquisition and reconstruction, however, MSK radiologists need to be familiar with the scanner to unlock its full potential. From filter-based spectral shaping for artifact reduction over full field-of-view ultra-high-resolution scans to postprocessing of single- or dual-source multienergy data, almost every imaging task can be met with an optimized approach in PCD-CT. The objectives of this review were to give an overview of the most promising applications of PCD-CT in MSK imaging to date, to state current limitations, and to highlight directions for future research and developments.
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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 Socratic graph.