Evidence map›Paper›PMID 30596739›Full record

ArticlePloS one2018

Feasibility of radiation dose reduction with iterative reconstruction in abdominopelvic CT for patients with inappropriate arm positioning.

Nieun Seo, Yong Eun Chung, Chansik An, Jin-Young Choi, Mi-Suk Park, Myeong-Jin Kim

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Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nieun SeoDepartment of Radiology, Yonsei University Health System, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Korea.
Yong Eun ChungDepartment of Radiology, Yonsei University Health System, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Korea.ORCID 0000-0003-0811-9578
Chansik AnDepartment of Radiology, Yonsei University Health System, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Korea.
Jin-Young ChoiDepartment of Radiology, Yonsei University Health System, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Korea.
Mi-Suk ParkDepartment of Radiology, Yonsei University Health System, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Korea.
Myeong-Jin KimDepartment of Radiology, Yonsei University Health System, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe arms-down position increases computed tomography (CT) radiation dose. Iterative reconstruction (IR) could enhance image quality without increasing radiation dose in patients with arms-down position.

aimTo investigate the feasibility of reduced-dose CT with IR for patients with inappropriate arm positioning.

methodsTwenty patients who underwent two-phase abdominopelvic CT including standard-dose and reduced-dose CT (performed with 80% of the radiation dose of the standard protocol) with their arms positioned in the abdominal area were included in this study. Reduced-dose CT images were reconstructed using filtered back projection (FBP), hybrid IR, and iterative model reconstruction (IMR). These images were compared with standard-dose CT images reconstructed with FBP. Objective image noise in the liver and subcutaneous fat was measured by standard deviation for the quantitative analysis. Then, two radiologists qualitatively assessed beam hardening artifacts, artificial texture, noise, sharpness, and overall image quality in consensus.

resultsReduced-dose CT with all IR levels had lower objective image noise compared to standard-dose CT with FBP reconstruction (P < 0.05). Quantitatively measured beam hardening artifacts were similar in reduced-dose CT with iDose levels 5-6 and fewer with IMR compared to standard-dose CT. In the qualitative analysis, beam hardening artifacts and noise decreased as the IR levels increased. However, artificial texture was significantly aggravated with iDose 5-6 and IMR, and overall image quality significantly worsened with IMR.

conclusionsIR algorithms can reduce beam hardening artifacts in a reduced-dose CT setting in patients with arms-down position, and an intermediate level of hybrid IR allows radiologists to obtain the best image quality. Because the retrospective and single-center nature of our study limited the number of patients, multicenter prospective clinical studies are required to validate our results.

Indexed as

Radiation DosageAlgorithmsArmFemaleHumansMaleProspective StudiesRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID30596739
PMCPMC6312263

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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.