Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 15Radiation Dose and ImagingRadiology practices and educationAdvanced Radiotherapy Techniques

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Investigating CT head diagnostic reference levels based on indication-based protocols – a single site study

Open access
Tan, W.S., Foley, S., Ryan, M.L.·2023·Radiography

Abstract

INTRODUCTION: This study aimed to provide clinically-relevant insights into establishing CT DRLs based on indication-based protocols in Ireland, focusing on CT head examinations performed at a neurology centre of excellence hospital. METHODS: Dose data were collected retrospectively. Typical values for six CT head indication-based protocols were established using a sample size of 50 patients for each protocol. Typical values for each protocol were set as the median of the distribution curve. Dose distributions for each protocol were calculated and compared using non-parametric median test (k-samples) to ascertain significant dose differences between the typical values. RESULTS: Most typical values pairings showed significant differences (p < 0.001) except between stroke/non-vascular brain, stroke/acute brain, and acute brain/non-vascular brain pairings. This was expected due to similar scan parameters. The typical value for stroke (3-phases angiogram) was 52% lower than the typical value for stroke. Dose levels of the male populations recorded were higher than female populations for all protocols. Statistical comparison showed significant differences for dose quantities and/or scan length between both genders in five protocols. CONCLUSION: Proposed values for DLP were up to 63% and 69% lower than the EU and Irish national DRLs respectively. Establishment of CT stroke DRLs should be based on the scan performed instead of number of scan acquisitions. Lastly, gender-based CT DRLs for specific protocols within the head region require further investigation. IMPLICATIONS FOR PRACTICE: With increasing CT examinations worldwide, radiation dose optimisation is key. The value of indication based DRLs is to enhance the required patient protection so image quality can be maintained, however with relevant DRLs for varying protocols. Establishment of CT typical values and site specific DRLs for procedures beyond the national DRLs can drive dose optimisation locally.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.radi.2023.05.003

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 9 references

Research works printed but not linked: 3

  1. International Commission of Radiological Protection, 1996, ICRP publication 73: radiological protection and safety in medicine, Ann ICRP, 26
  2. Health Service Executive, 2017, National survey on population dose from computed tomography, Med Exposure Radiat Unit
  3. Damilakis, 2018, Clinical diagnostic reference levels in medical imaging, Health Manag, 18, 402

Cited by

Metadata

Authors
Tan, W. S., Foley, S., & Ryan, M. L.
Affiliations
University College Dublin (IE)
Corresponding author
Ryan, M.L.
Venue
Radiography
Publisher
Elsevier BV
Published
2023-07
Volume
29
Issue
4
Pages
786-791
ISSN
1078-8174 (ISSN-L)
OpenAlex
W4378901051
Cited by
15
References
9
Citations by year
2026: 6 · 2025: 6 · 2024: 3
FWCI
2.47
Type
journal article
Language
en
Open access
Locations
  • Radiography (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiation Dose and Imaging
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
  • Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
Keywords
diagnostic reference levels, head CT, radiation dose optimization, dose-length product, stroke imaging, typical values, patient radiation protection
MeSH terms
Diagnostic Reference Levels, Female, Humans, Male, Radiation Dosage, Reference Values, Retrospective Studies, Tomography, X-Ray Computed, Stroke

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.