Evidence map›Paper›PMID 42489161›Full record

ArticleJournal of medical radiation sciences2026

Utilisation of Objective and Subjective Image Quality Metrics to Guide Optimal Contrast Volumes for Abdominal CT.

Deborah Carrick, Mitchell Ashton, Joshua Bognar, Natalia Diaz, James Rogers, Daniel Serra, Daniel Schick

Abstract read
In one paragraph

Article in Journal of medical radiation sciences, 2026. 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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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

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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

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Deborah CarrickBiomedical Technology Services, Queensland Health, Brisbane, Queensland, Australia.ORCID https://orcid.org/0009-0006-4733-5272
Mitchell AshtonMedical Imaging Department, Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia.
Joshua BognarBiomedical Technology Services, Queensland Health, Brisbane, Queensland, Australia.
Natalia DiazMedical Imaging Department, Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia.
James RogersMedical Imaging Department, Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia.ORCID https://orcid.org/0009-0006-3117-2018
Daniel SerraBiomedical Technology Services, Queensland Health, Brisbane, Queensland, Australia.
Daniel SchickBiomedical Technology Services, Queensland Health, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDetermining the appropriate volume of iodinated contrast media (ICM) for portal venous phase abdominal computed tomography (CT) remains challenging. Evidence is limited regarding the volume required for consistent enhancement and whether this translates into optimal subjective image quality. To address this gap, we compared fixed-volume and weight-based dosing strategies, utilising objective enhancement and subjective image quality to identify approaches that may optimise diagnostic performance.

methodThe abdominal CT ICM dosing protocol was revised from fixed (100 mL) to weight-based (1 mL/kg, 10 kg increments) volume dosing. Data from 90 fixed and 90 weight-based ICM volume procedures were matched by age, gender, weight and kVp. Objective measures of ICM enhancement (Hounsfield unit, HU) were obtained in key vessels and organs. Subjective image quality scores were obtained from 24 cases per group, matched by weight and kVp, followed by visual grading characteristic (VGC) analysis.

resultsWeight-based dosing reduced the dependence of key vessel and organ enhancement on patient size compared with fixed dosing. VGC analysis comparing patients < 90 kg and ≥ 90 kg suggests light patients require greater HU enhancement than heavy patients to achieve equal subjective image quality.

conclusionConsistent HU enhancement across all patient sizes can be achieved by using weight-based ICM volume dosing in abdominal CT, although this does not necessarily translate to consistent subjective image quality. Our findings suggest that lighter patients may benefit from greater enhancement to achieve equivalent subjective image quality to larger patients, highlighting the need for further optimisation of ICM dose strategies beyond standard weight-based approaches.

Indexed as

abdominal CTcontrast mediaenhancementimage qualitypatient size

Identifiers

PMID42489161
PMCPMC13394332

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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.