Evidence map›Paper›PMID 33778757›Full record

ReviewRadiology. Imaging cancer2021

Dual-Energy CT Material Decomposition in Pediatric Thoracic Oncology.

Marilyn J Siegel, Sanjeev Bhalla, Mike Cullinane

Abstract readReview
In one paragraph

Review in Radiology. Imaging cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Dual energy CT of pediatric genitourinary disorders.Abdominal radiology (New York) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Changes of water and muscle content in lumbar paraspinal muscle degeneration and gender differences during aging using dual-energy CT.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Material decomposition using dual-energy CT with unsupervised learning.Physical and engineering sciences in medicine · 2023
    Article
  16. Review
  17. Article
  18. Review
  19. Review
  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

3 authors.

Marilyn J SiegelMallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, St Louis, MO 63110 (M.J.S., S.B.); and Siemens Healthineers, Malvern, Pa (M.C.).ORCID 0000-0002-8342-8293
Sanjeev BhallaMallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, St Louis, MO 63110 (M.J.S., S.B.); and Siemens Healthineers, Malvern, Pa (M.C.).ORCID 0000-0002-1262-8925
Mike CullinaneMallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, St Louis, MO 63110 (M.J.S., S.B.); and Siemens Healthineers, Malvern, Pa (M.C.).ORCID 0000-0002-1309-2456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technical advances in CT have enabled implementation of dual-energy CT into routine clinical practice. By acquiring images at two different energy spectra, dual-energy CT enables material decomposition, allowing generation of material- and energy-specific images. Material-specific images include virtual nonenhanced images and iodine-specific images (iodine maps). Energy-specific images include virtual monoenergetic images. The reconstructed images can provide unique qualitative and quantitative information about tissue composition and contrast media distribution. In thoracic oncologic imaging, dual-energy CT provides advantages in characterization of thoracic malignancies and lung nodules, determination of extent of disease, and assessment of response to therapy. An especially important feature in children is that dual-energy CT does not come at a higher radiation exposure.

Indexed as

PediatricsThoracic NeoplasmsChildContrast MediaHumansTomography, X-Ray ComputedContrast Media

Identifiers

PMID33778757
PMCPMC7983800

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.