Evidence map›Paper›PMID 33577561›Full record

ArticlePloS one2021

A prospective study on the use of ultralow-dose computed tomography with iterative reconstruction for the follow-up of patients liver and renal abscess.

Nieun Seo, Mi-Suk Park, Jun Yong Choi, Joon-Sup Yeom, Myeong-Jin Kim, Yong Eun Chung, Nam Su Ku

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Nieun SeoDepartment of Radiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Mi-Suk ParkDepartment of Radiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jun Yong ChoiDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-2775-3315
Joon-Sup YeomDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-8940-7170
Myeong-Jin KimDepartment of Radiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yong Eun ChungDepartment of Radiology, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-0811-9578
Nam Su KuDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadiation dose reduction is a major concern in patients who undergo computed tomography (CT) to follow liver and renal abscess.

objectivesThe purpose of this study is to investigate the feasibility of ultralow-dose CT with iterative reconstruction (IR) to follow patients with liver and renal abscess.

methodsThis prospective study included 18 patients who underwent ultralow-dose CT with IR to follow abscesses (liver abscesses in 10 patients and renal abscesses in 8 patients; ULD group). The control group consisted of 14 patients who underwent follow-up standard-dose CT for liver abscesses during the same period. The objective image noise was evaluated by measuring standard deviation (SD) in the liver and subcutaneous fat to select a specific IR for qualitative analysis. Two radiologists independently evaluated subjective image quality, noise, and diagnostic confidence to evaluate abscess using a five-point Likert scale. Qualitative parameters were compared between the ULD and control groups with the Mann-Whitney U test.

resultsThe mean CT dose index volume and dose length product of standard-dose CT were 8.7 ± 1.8 mGy and 555.8 ± 142.8 mGy·cm, respectively. Mean dose reduction of ultralow-dose CT was 71.8% compared to standard-dose CT. After measuring SDs, iDose level 5, which showed similar SD to standard-dose CT in both the subcutaneous fat and liver (P = 0.076, and P = 0.124), was selected for qualitative analysis. Ultralow-dose CT showed slightly worse subjective image quality (P < 0.001 for reader 1, and P = 0.005 for reader 2) and noise (P = 0.004 for reader 1, and P = 0.001 for reader 2) than standard-dose CT. However, the diagnostic confidence of ultralow-dose CT for evaluating abscess was comparably excellent to standard-dose CT (P = 0.808 for reader 1, and P = 0.301 for reader 2).

conclusionsUltralow-dose CT with IR can be used in the follow-up of liver and renal abscess with comparable diagnostic confidence.

Indexed as

AdultAgedAlgorithmsFemaleHumansKidney DiseasesLiver AbscessLiver DiseasesMaleMiddle AgedProspective StudiesTomography, X-Ray Computed

Identifiers

PMID33577561
PMCPMC7880451
OpenAlexW3127734478

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LicenceCC BY
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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.