Evidence map›Paper›PMID 32772121›Full record

ReviewAbdominal radiology (New York)2020

Dual-energy CT in diffuse liver disease: is there a role?

Khaled Y Elbanna, Bahar Mansoori, Achille Mileto, Patrik Rogalla, Luís S Guimarães

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Spectral CT: Current Liver Applications.Diagnostics (Basel, Switzerland) · 2023
    Review
  9. Article
  10. Article
  11. Dual-energy CT: minimal essentials for radiologists.Japanese journal of radiology · 2022
    Review
  12. Article
  13. Article
  14. 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

5 authors.

Khaled Y ElbannaToronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada.
Bahar MansooriAbdominal Imaging Section, Department of Radiology, University of Washington School of Medicine, Seattle, WA, 98195, USA.
Achille MiletoAbdominal Imaging Section, Department of Radiology, University of Washington School of Medicine, Seattle, WA, 98195, USA.
Patrik RogallaToronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada.
Luís S GuimarãesToronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada. luis.s.guimaraes@gmail.com.ORCID http://orcid.org/0000-0002-6921-3800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dual-energy CT (DECT) can be defined as the use of two different energy levels to identify and quantify material composition. Since its inception, DECT has benefited from remarkable improvements in hardware and clinical applications. DECT enables accurate identification and quantification of multiple materials, including fat, iron, and iodine. As a consequence, multiple studies have investigated the potential role of DECT in the assessment of diffuse liver diseases. While this role is evolving, this article aims to review the most relevant literature on use of DECT for assessment of diffuse liver diseases. Moreover, the basic concepts on DECT techniques, types of image reconstruction, and DECT-dedicated software will be described, focusing on the areas that are most relevant for the evaluation of diffuse liver diseases. Also, we will review the evidence of added value of DECT in detection and assessment of hepatocellular carcinoma which is a known risk in patients with diffuse liver disease.

Indexed as

Carcinoma, HepatocellularIodineLiver NeoplasmsHumansImage Processing, Computer-AssistedTomography, X-Ray ComputedIodineCirrhosisDiffuse liver diseaseDual-energy CTHemosiderosisMaterial decompositionSteatosis

Identifiers

What OpenQuestion holds

Textmetadata
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.