Evidence map›Paper›PMID 41255679›Full record

ReviewWorld journal of clinical pediatrics2025

Dual-energy computed tomography in children: Technique and clinical applications.

Shubham Saini, Anmol Bhatia, Aarushi Bansal, Akshay Kumar Saxena, Kushaljit Singh Sodhi

Abstract readReview
In one paragraph

Review in World journal of clinical pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Shubham SainiDepartment of Radio Diagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
Anmol BhatiaDepartment of Radio Diagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
Aarushi BansalDepartment of Radio Diagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
Akshay Kumar SaxenaDepartment of Radio Diagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
Kushaljit Singh SodhiDepartment of Radio Diagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India. sodhiks@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dual-energy CT (DECT) is an advancement in CT technology that allows for the acquisition of images at two different energy levels. Two main post-processing tools, which form the backbone of DECT, include material decomposition and virtual monoenergetic images. Material decomposition helps in the generation of virtual nonenhanced, iodine, pulmonary lung blood volume, lung vessel, automated bone removal, and renal stone characterization images. DECT offers a broad spectrum of clinical applications in pediatric imaging, including vascular, neurological, thoracic, abdominal, skeletal, and oncologic assessments. Additionally, it contributes to shorter scan times and enables the use of lower contrast media volumes while maintaining diagnostic image quality. This technique provides unique qualitative and quantitative information about the composition of the tissue, allowing differentiation of materials, including iodinated contrast agents. The radiation dose of DECT is equivalent to or lower than that of a single-energy CT, adding to the advantages of DECT, especially in children who are more sensitive to the harmful effects of radiation. In this minireview we outlined the basic principles of the DECT technique and its post-processing techniques with emphasis on clinical applications in pediatric imaging.

Indexed as

ChildrenComputed tomographyDual-energyImagingPediatric

Identifiers

PMID41255679
PMCPMC12620815

What OpenQuestion holds

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Registered trials

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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.