Evidence map›Paper›PMID 41367722›Full record

ArticleQuantitative imaging in medicine and surgery2025

Optimizing computed tomography enterography with virtual monoenergetic imaging of second-generation dual-layer spectral CT in inflammatory bowel disease.

Yuqing Mao, Yiyue Mao, Zhichao Xu, Jiaying Li, Maosheng Xu, Yihong Fan, Sisi Zheng

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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

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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

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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

7 authors.

Yuqing MaoThe First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.ORCID https://orcid.org/0009-0005-1912-4550
Yiyue MaoThe First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Zhichao XuDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Jiaying LiDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Maosheng XuDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Yihong FanDepartment of Gastroenterology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Sisi ZhengDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Second-generation dual-layer spectral computed tomography enterography (DLCTE) provides advanced virtual monoenergetic imaging (VMI) that may overcome conventional computed tomography (CT) enterography limitations in inflammatory bowel disease (IBD). This study aimed to identify the optimal VMI energy level in spectral CT enterography for IBD using quantitative and qualitative image quality assessments. Methods: This case-control study retrospectively analyzed 44 patients with endoscopically confirmed active IBD undergoing DLCTE. Conventional polyenergetic images (PEIs) and VMIs (40-100 keV, 10-keV increments) were reconstructed across non-contrast, arterial, and venous phases. Quantitative metrics [contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), CT attenuation, image noise] and subjective image quality (5-point Likert scale) were compared between PEIs and VMIs. Results: Quantitative analysis revealed that VMI 40 keV achieved peak performance: highest CT attenuation values (AV) [non-contrast: 57.7±13.2 Hounsfield units (HU) Conclusions: The dual-layer detector spectral CT low-level VMI can optimize the image quality of CTE in IBD, and is useful to evaluate the intestinal inflammatory range. Among them, the VMI 60 keV imaging has the best display and can increase the diagnostic confidence in active IBD, and it is suitable for clinical promotion and use.

Indexed as

computed tomography enterography (CTE)image qualityinflammatory bowel disease (IBD)Spectral computed tomography (spectral CT)virtual monoenergetic images (VMIs)

Identifiers

PMID41367722
PMCPMC12682477

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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.