Evidence map›Paper›PMID 39620053›Full record

ArticleSA journal of radiology2024

Clinical diagnostic reference levels and image quality metrics for CT in oncology patients.

Ida-Keshia Sebelego, Sussan Acho, William I D Rae

Abstract read
In one paragraph

Article in SA journal of radiology, 2024. 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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0cells of the map it votes in
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

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

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

3 authors.

Ida-Keshia SebelegoDepartment of Clinical Sciences, Faculty of Health and Environmental Sciences, Central University of Technology, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0002-4362-1216
Sussan AchoDepartment of Medical Physics, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0001-7248-8306
William I D RaeDepartment of Clinical Sciences, Faculty of Health and Environmental Sciences, Central University of Technology, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0002-3866-8562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In CT, the volumetric CT dose index (CTDI Objectives: To develop clinical local DRL values for CT chest-abdomen-pelvis (CAP) examinations using the CTDI Method: In total, 201 cancer patients were included in the study. The scanning parameters, dose metrics from the CT unit and participants' body mass index (BMI) were documented. The local CT DRL values for CAP examinations were defined as the median and 75th percentiles of the dose distribution. Results: The local DRL values given in terms of median CTDI Conclusion: No baseline data for clinical DRL values were available for this medical oncology department. The achieved DRLs were similar to published size-specific DRLs. The image quality was maintained during CT imaging. Dose optimisation and image quality assessment should be implemented to ensure optimal scanning parameters for different cancers in CT CAP examinations. Contribution: The first size-specific local DRL values for CT CAP investigations carried out on oncology patients in South Africa have been established.

Indexed as

cancercomputed tomographyimage quality indexlocal diagnostic reference levelsize-specific dose estimates

Identifiers

PMID39620053
PMCPMC11605255

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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.