Evidence map›Paper›PMID 37238224›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Principles and Applications of Dual-Layer Spectral CT in Gastrointestinal Imaging.

Paolo Niccolò Franco, Chiara Maria Spasiano, Cesare Maino, Elena De Ponti, Maria Ragusi, Teresa Giandola, Simone Terrani, Marta Peroni, Rocco Corso, Davide Ippolito

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 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Dual energy CT of pediatric genitourinary disorders.Abdominal radiology (New York) · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Multi-energy CT material decomposition using graph model improved CNN.Medical & biological engineering & computing · 2024
    Article
  17. Article
  18. 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

10 authors.

Paolo Niccolò FrancoDepartment of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy.ORCID 0000-0001-8280-3787
Chiara Maria SpasianoDepartment of Diagnostic Radiology, Istituti Clinici Zucchi, Via Zucchi 24, 20900 Monza, Italy.
Cesare MainoDepartment of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy.ORCID 0000-0002-5742-802X
Elena De PontiDepartment of Medical Physics, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy.
Maria RagusiDepartment of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy.
Teresa GiandolaDepartment of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy.
Simone TerraniPhilips Healtcare, Viale Sarca 54, 20126 Milano, Italy.
Marta PeroniPhilips Healtcare, Viale Sarca 54, 20126 Milano, Italy.
Rocco CorsoDepartment of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy.
Davide IppolitoDepartment of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy.ORCID 0000-0002-2696-7047

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advance in technology allows for the development of different CT scanners in the field of dual-energy computed tomography (DECT). In particular, a recently developed detector-based technology can collect data from different energy levels, thanks to its layers. The use of this system is suited for material decomposition with perfect spatial and temporal registration. Thanks to post-processing techniques, these scanners can generate conventional, material decomposition (including virtual non-contrast (VNC), iodine maps, Z-effective imaging, and uric acid pair images) and virtual monoenergetic images (VMIs). In recent years, different studies have been published regarding the use of DECT in clinical practice. On these bases, considering that different papers have been published using the DECT technology, a review regarding its clinical application can be useful. We focused on the usefulness of DECT technology in gastrointestinal imaging, where DECT plays an important role.

Indexed as

computer-assisteddiagnostic techniquesdigestive systemimage interpretationtomographyX-ray-computed

Identifiers

PMID37238224
PMCPMC10217357

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.