Development of size-specific institutional diagnostic reference levels for computed tomography protocols in neck imaging Article Swipe
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· 2019
· Open Access
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· DOI: https://doi.org/10.1088/1361-6498/ab4d00
Purpose: To develop size-specific institutional diagnostic reference levels (DRLs) for computed tomography (CT) protocols used in neck CT imaging (cervical spine CT, cervical CT angiography (CTA) and cervical staging CT) and to compare institutional to national DRLs. Materials and methods: Cervical CT examinations (spine, n = 609; CTA, n = 505 and staging CT, n = 184) performed between 01/2016 and 06/2017 were included in this retrospective study. For each region and examination, the volumetric CT dose index (CTDI vol ) and dose-length product (DLP) were determined and binned into size bins according to patient water-equivalent diameter (d w ). Linear regression analysis was performed to calculate size-specific institutional DRLs for CTDI vol and DLP, applying the 75th percentile as the upper limit for institutional DRLs. The mean institutional CTDI vol and DLP were compared to national DRLs (CTDI vol 20 mGy for cervical spine CT (DLP 300 mGycm) and cervical CTA (DLP 600 mGycm), and CTDI vol 15 mGy for cervical staging CT (DLP 330 mGycm)). Results: The mean CTDI vol and DLP (±standard deviation) were 15.2 ± 4.1 mGy and 181.5 ± 88.3 mGycm for cervical spine CT; 8.1 ± 4.3 mGy and 280.2 ± 164.3 mGycm for cervical CTA; 8.6 ± 1.9 mGy and 162.8 ± 85.0 mGycm for cervical staging CT. For all CT protocols, there was a linear increase in CTDI vol and DLP with increasing d w . For the CTDI vol , size-specific institutional DRLs increased with d w from 14 to 29 mGy for cervical spine CT, from 5 to 17 mGy for cervical CTA and from 8 to 13 mGy for cervical staging CT. For the DLP, size-specific institutional DRLs increased with d w from 130 to 510 mGycm for cervical spine CT, from 140 to 640 mGycm for cervical CTA and from 140 to 320 mGycm for cervical staging CT. Institutional DRLs were lower than national DRLs by 81% and 67% for cervical spine CT (d w = 17.8 cm), 43% and 51% for cervical CTA (d w = 19.5 cm) and 59% and 53% for cervical staging CT (d w = 18.8 cm) for CTDI vol and DLP, respectively. Conclusion: Size-specific institutional DRLs were generated for neck CT examinations. The mean institutional CTDI vol and DLP values were well below national DRLs.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1361-6498/ab4d00
- https://iopscience.iop.org/article/10.1088/1361-6498/ab4d00/pdf
- OA Status
- hybrid
- Cited By
- 3
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2979718021
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2979718021Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1361-6498/ab4d00Digital Object Identifier
- Title
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Development of size-specific institutional diagnostic reference levels for computed tomography protocols in neck imagingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-10-11Full publication date if available
- Authors
-
Andrea Steuwe, Christoph Thomas, Bastian Kraus, Oliver Thomas Bethge, Joel Aissa, Yan Klosterkemper, Gerald Antoch, Johannes BoosList of authors in order
- Landing page
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https://doi.org/10.1088/1361-6498/ab4d00Publisher landing page
- PDF URL
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https://iopscience.iop.org/article/10.1088/1361-6498/ab4d00/pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1361-6498/ab4d00/pdfDirect OA link when available
- Concepts
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Medicine, Cervical spine, Nuclear medicine, Radiology, Computed tomography, Percentile, Surgery, Statistics, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2023: 1Per-year citation counts (last 5 years)
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24Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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