Evidence map›Paper›PMID 33856133›Full record

ReviewKorean journal of radiology2021

Clinical Applications of Dual-Energy CT.

Saira Hamid, Muhammad Umer Nasir, Aaron So, Gordon Andrews, Savvas Nicolaou, Sadia Raheez Qamar

Open access · hybridAbstract readReview
In one paragraph

Review in Korean journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 5% 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

67 citing papers in PubMed, 3 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

7 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 1 country.

Saira HamidDepartment of Radiology, University of British Columbia Hospital, University of British Columbia, Vancouver, Canada. saira.hamid@vch.ca.ORCID 0000-0001-6130-9368
Muhammad Umer NasirDepartment of Medical Imaging, Vancouver General Hospital, University of British Columbia, Vancouver, Canada.ORCID 0000-0003-0935-3227
Aaron SoDepartment of Medical Biophyics, Schulich School of Medicine and Dentistry Western University London, Ontario, Canada.ORCID 0000-0001-9293-158X
Gordon AndrewsDepartment of Radiology, University of British Columbia Hospital, University of British Columbia, Vancouver, Canada.ORCID 0000-0002-2329-3489
Savvas NicolaouDepartment of Medical Imaging, Vancouver General Hospital, University of British Columbia, Vancouver, Canada.ORCID 0000-0002-4203-6605
Sadia Raheez QamarDepartment of Medical Imaging, Sunnybrook Hospital, University of Toronto, Toronto, Canada.ORCID 0000-0001-6637-6092
University of British Columbia Hospital · CAVancouver General Hospital · CAUniversity of Toronto · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dual-energy CT (DECT) provides insights into the material properties of tissues and can differentiate between tissues with similar attenuation on conventional single-energy imaging. In the conventional CT scanner, differences in the X-ray attenuation between adjacent structures are dependent on the atomic number of the materials involved, whereas in DECT, the difference in the attenuation is dependent on both the atomic number and electron density. The basic principle of DECT is to obtain two datasets with different X-ray energy levels from the same anatomic region and material decomposition based on attenuation differences at different energy levels. In this article, we discuss the clinical applications of DECT and its potential robust improvements in performance and postprocessing capabilities.

Indexed as

AbdomenBrain Injuries, TraumaticCoronary VesselsCOVID-19Head and Neck NeoplasmsHumansMyocardial InfarctionSARS-CoV-2Thymus NeoplasmsTomography, X-Ray ComputedAcute hemorrhageCOVID-19DECTMetal artifacts

Identifiers

PMID33856133
PMCPMC8154785
OpenAlexW3140442863

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.