Evidence map›Paper›PMID 37238163›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Spectral CT: Current Liver Applications.

Ana P Borges, Célia Antunes, Filipe Caseiro-Alves

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Cystic liver lesions: a multimodality imaging review.Abdominal radiology (New York) · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Balancing Image Quality and Iodine Intake: Insights from CT Spectral Imaging of the Portal Vein.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  8. Article
  9. Review
  10. 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

3 authors.

Ana P BorgesMedical Imaging Department, Coimbra University Hospitals, 3004-561 Coimbra, Portugal.ORCID 0000-0003-1846-0251
Célia AntunesMedical Imaging Department, Coimbra University Hospitals, 3004-561 Coimbra, Portugal.
Filipe Caseiro-AlvesMedical Imaging Department, Coimbra University Hospitals, 3004-561 Coimbra, Portugal.ORCID 0000-0001-9397-6149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using two different energy levels, dual-energy computed tomography (DECT) allows for material differentiation, improves image quality and iodine conspicuity, and allows researchers the opportunity to determine iodine contrast and radiation dose reduction. Several commercialized platforms with different acquisition techniques are constantly being improved. Furthermore, DECT clinical applications and advantages are continually being reported in a wide range of diseases. We aimed to review the current applications of and challenges in using DECT in the treatment of liver diseases. The greater contrast provided by low-energy reconstructed images and the capability of iodine quantification have been mostly valuable for lesion detection and characterization, accurate staging, treatment response assessment, and thrombi characterization. Material decomposition techniques allow for the non-invasive quantification of fat/iron deposition and fibrosis. Reduced image quality with larger body sizes, cross-vendor and scanner variability, and long reconstruction time are among the limitations of DECT. Promising techniques for improving image quality with lower radiation dose include the deep learning imaging reconstruction method and novel spectral photon-counting computed tomography.

Indexed as

dual-energy CTdual-layer detector CTdual-source CTfast kVp switchingimage qualityliver diseasepancreatic diseasephoton countingspectral CTsplit-filter

Identifiers

PMID37238163
PMCPMC10217594

What Socratic 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 Socratic graph.