Evidence map›Paper›PMID 37341726›Full record

ArticlePediatric radiology2023

Radiation dose reduction using spectral shaping in pediatric non-contrast sinus CT.

Wei Zhou, Maricarmen Nazario Malave, John A Maloney, Christina White, Jason P Weinman, Donglai Huo, Ilana Neuberger

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Article in Pediatric radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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1 · What the graph read from it

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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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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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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

7 authors.

Wei ZhouRadiology, University of Colorado, Anschutz Medical Campus, 13001 E 17Th Pl, Aurora, CO, USA.
Maricarmen Nazario MalaveRadiology, University of Colorado, Anschutz Medical Campus, 13001 E 17Th Pl, Aurora, CO, USA.
John A MaloneyRadiology, University of Colorado, Anschutz Medical Campus, 13001 E 17Th Pl, Aurora, CO, USA.
Christina WhiteRadiology, University of Colorado, Anschutz Medical Campus, 13001 E 17Th Pl, Aurora, CO, USA.
Jason P WeinmanRadiology, University of Colorado, Anschutz Medical Campus, 13001 E 17Th Pl, Aurora, CO, USA.
Donglai HuoRadiology, University of Colorado, Anschutz Medical Campus, 13001 E 17Th Pl, Aurora, CO, USA.
Ilana NeubergerRadiology, University of Colorado, Anschutz Medical Campus, 13001 E 17Th Pl, Aurora, CO, USA. Ilana.Neuberger@childrenscolorado.org.ORCID 0000-0003-2873-6776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCT is the standard imaging technique to evaluate pediatric sinuses. Given the potential risks of radiation exposure in children, it is important to reduce pediatric CT dose and maintain image quality.

objectiveTo study the utility of spectral shaping with tin filtration to improve dose efficiency for pediatric sinus CT exams. MATERIALS AND

methodsA head phantom was scanned on a commercial dual-source CT using a conventional protocol (120 kV) and a proposed 100 kV with a 0.4-mm tin filter (Sn100 kV) protocol for comparison. Entrance point dose (EPD) of eye and parotid gland region was measured by an ion chamber. Sixty pediatric sinus CT exams (33 acquired with 120 kV, 27 acquired with Sn100 kV) were retrospectively collected. All patient images were objectively measured for image quality and blindly reviewed by 4 pediatric neuroradiologists for overall noise, overall diagnostic quality, and delineation of 4 critical paranasal sinus structures, using a 5-point Likert scale.

resultsPhantom CTDIvol from Sn100 kV is 4.35 mGy, compared to CTDIvol of 5.73 mGy from 120 kV at an identical noise level. EPD of sensitive organs decreases in Sn100 kV (e.g., right eye EPD 3.83±0.42 mGy), compared to 120 kV (5.26±0.24 mGy). Patients in the 2 protocol groups were age and weight (unpaired T test P>0.05) matched. The patient CTDIvol of Sn100 kV (4.45±0.47 mGy) is significantly lower than 120 kV (5.56±0.48 mGy, unpaired T test P<0.001). No statistically significant difference for any subjective readers' score (Wilcoxon test P>0.05) was found between the two groups, indicating proposed spectral shaping provides equivalent diagnostic image quality.

conclusionPhantom and patient results demonstrate that spectral shaping can significantly reduce radiation dose for non-contrast pediatric sinus CT without compromising diagnostic quality.

Indexed as

TinTomography, X-Ray ComputedChildDrug TaperingHumansRadiation DosageRetrospective StudiesTinComputed tomographyDose reductionSinusSpectral shaping

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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.