Evidence map›Paper›PMID 40134092›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2025

Balancing Image Quality and Iodine Intake: Insights from CT Spectral Imaging of the Portal Vein.

Linjie Huang, Shengchen Jiang, Fengqiu Ruan, Liling Long

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Linjie HuangDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Shengchen JiangDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Fengqiu RuanDepartment of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Liling LongDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.ORCID 0000-0003-3369-8532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Portal vein tumor thrombus (PVTT) is a critical complication in hepatocellular carcinoma (HCC). Spectral computed tomography (CT) is increasingly used to enhance the diagnosis of such conditions. This study examines the effect of different iodine concentrations in contrast media on portal vein image quality and iodine intake using spectral CT to improve imaging techniques. MATERIAL AND METHODS A total of 88 patients were divided into 3 groups based on iodine concentration in contrast media: Group A (300 mgI/mL, n=30), Group B (320 mgI/mL, n=28), and Group C (350 mgI/mL, n=30). Each underwent a GSI scan with an injection rate of 4.5 mL/s and a dose of 1.5 mL/kg. Eleven sets of 40-140 keV images were reconstructed for each group. CT value, image noise, contrast noise ratio (CNR), signal-to-noise ratio (SNR), and subjective image scores of intra-hepatic and extra-hepatic portal veins were analyzed. Optimal monochromatic levels and iodine intake were assessed for each group. RESULTS The optimal monochromatic level for portal veins was between 80 keV-110 keV across groups. Significant differences were noted in CT values and image noise among groups (P<0.05), but not in CNR, SNR, or subjective scores (P>0.05). Iodine intake was reduced by 21.29% in Group A and 14.60% in Group B compared to Group C. CONCLUSIONS GSI scans with low-concentration contrast media effectively reduce iodine intake while maintaining image quality during liver CT-enhanced scans.

Indexed as

IodinePortal VeinTomography, X-Ray ComputedAdultAgedCarcinoma, HepatocellularContrast MediaFemaleHumansLiver NeoplasmsMaleMiddle AgedSignal-To-Noise RatioContrast MediaIodine

Identifiers

PMID40134092
PMCPMC11960719

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.