Evidence map›Paper›PMID 38611645›Full record

ReviewDiagnostics (Basel, Switzerland)2024

Updates on the Applications of Spectral Computed Tomography for Musculoskeletal Imaging.

Liesl S Eibschutz, George Matcuk, Michael Kuo-Jiun Chiu, Max Yang Lu, Ali Gholamrezanezhad

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 40% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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

5 authors at 2 institutions in 1 country.

Liesl S EibschutzDepartment of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA 90007, USA.
George MatcukDepartment of Radiology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0002-2858-0794
Michael Kuo-Jiun ChiuDepartment of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA 90007, USA.
Max Yang LuDepartment of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA 90007, USA.ORCID 0000-0002-1767-5085
Ali GholamrezanezhadDepartment of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA 90007, USA.
University of Southern California · USCedars-Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spectral CT represents a novel imaging approach that can noninvasively visualize, quantify, and characterize many musculoskeletal pathologies. This modality has revolutionized the field of radiology by capturing CT attenuation data across multiple energy levels and offering superior tissue characterization while potentially minimizing radiation exposure compared to traditional enhanced CT scans. Despite MRI being the preferred imaging method for many musculoskeletal conditions, it is not viable for some patients. Moreover, this technique is time-consuming, costly, and has limited availability in many healthcare settings. Thus, spectral CT has a considerable role in improving the diagnosis, characterization, and treatment of gout, inflammatory arthropathies, degenerative disc disease, osteoporosis, occult fractures, malignancies, ligamentous injuries, and other bone-marrow pathologies. This comprehensive review will delve into the diverse capabilities of dual-energy CT, a subset of spectral CT, in addressing these musculoskeletal conditions and explore potential future avenues for its integration into clinical practice.

Indexed as

bone-marrow edemadual-energy computed tomographymusculoskeletal imagingspectral computed tomographyvirtual non-calcium reconstruction algorithms

Identifiers

PMID38611645
PMCPMC11011285
OpenAlexW4393356508

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.