Evidence map›Paper›PMID 34448383›Full record

ReviewKorean journal of radiology2021

Dual-Energy CT for Pulmonary Embolism: Current and Evolving Clinical Applications.

Yoo Jin Hong, Jina Shim, Sang Min Lee, Dong Jin Im, Jin Hur

Abstract 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 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Dead space in critical care: a practical approach with clinical scenarios.Journal of anesthesia, analgesia and critical care · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Sarcoidosis-Associated Pulmonary Hypertension.Journal of clinical medicine · 2024
    Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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.

Yoo Jin HongDepartment of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-7276-0944
Jina ShimDepartment of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0003-2041-2611
Sang Min LeeDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID 0000-0002-2173-2193
Dong Jin ImDepartment of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0001-8139-5646
Jin HurDepartment of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea. khuhz@yuhs.ac.ORCID 0000-0002-8651-6571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary embolism (PE) is a potentially fatal disease if the diagnosis or treatment is delayed. Currently, multidetector computed tomography (MDCT) is considered the standard imaging method for diagnosing PE. Dual-energy CT (DECT) has the advantages of MDCT and can provide functional information for patients with PE. The aim of this review is to present the potential clinical applications of DECT in PE, focusing on the diagnosis and risk stratification of PE.

Indexed as

Pulmonary EmbolismHumansMultidetector Computed TomographyChronic thromboembolic pulmonary hypertensionDual-energy computed tomographyIodinePulmonary artery sarcomaPulmonary embolism

Identifiers

PMID34448383
PMCPMC8390816

What OpenQuestion holds

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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.