Evidence map›Paper›PMID 32319005›Full record

ArticleLa Radiologia medica2020

Performance evaluation of two iterative reconstruction algorithms, MBIR and ASIR, in low radiation dose and low contrast dose abdominal CT in children.

Jihang Sun, Lixin Yang, Zuofu Zhou, Dan Zhang, Wei Han, Qifeng Zhang, Yun Peng

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In one paragraph

Article in La Radiologia medica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

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 at 3 institutions in 1 country.

Jihang SunDepartment of Radiology, Beijing Children's Hospital, Capital Medical University, No.56, Nanlishi Road, Xicheng District, Beijing, 100045, China.
Lixin YangDepartment of Radiology, Beijing Children's Hospital, Capital Medical University, No.56, Nanlishi Road, Xicheng District, Beijing, 100045, China.
Zuofu ZhouDepartment of Radiology, Fujian Provincial Maternity and Children's Hospital, Affiliated Hospital of Fujian Medical University, No.18 Daoshan Road, Gulou District, Fuzhou, 350000, Fujian, China.
Dan ZhangDepartment of General Surgery, Beijing Children's Hospital, Capital Medical University, No.56, Nanlishi Road, Xicheng District, Beijing, 100045, China.
Wei HanDepartment of Surgery Oncology, Beijing Children's Hospital, Capital Medical University, No.56, Nanlishi Road, Xicheng District, Beijing, 100045, China.
Qifeng ZhangDepartment of Radiology, Beijing Children's Hospital, Capital Medical University, No.56, Nanlishi Road, Xicheng District, Beijing, 100045, China.
Yun PengDepartment of Radiology, Beijing Children's Hospital, Capital Medical University, No.56, Nanlishi Road, Xicheng District, Beijing, 100045, China. ppengyun@yahoo.com.
Beijing Children’s Hospital · CNCapital Medical University · CNFujian Medical University · CN

Funding

Beijing Children's Hospital Young Investigator Program BCH-YIPB-2016-06
6 · The paper itself

Abstract

backgroundThe adverse effect of low-dose CT on image quality may be mitigated using iterative reconstructions. The purpose of this study was to evaluate the performance of the full model-based iterative reconstruction (MBIR) and adaptive statistical reconstruction (ASIR) algorithms in low radiation dose and low contrast dose abdominal contrast-enhanced CT (CECT) in children.

methodsA total of 59 children (32 males and 27 females) undergoing low radiation dose (100kVp) and low contrast dose (270 mgI/ml) abdominal CECT were enrolled. The median age was 4.0 years (ranging from 0.3 to 13 years). The raw data were reconstructed with MBIR, ASIR and filtered back-projection (FBP) algorithms into 6 groups (MBIR, 100%ASIR, 80%ASIR, 60%ASIR, 40%ASIR and FBP). The CT numbers, standard deviations, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of liver, pancreas, kidney and abdominal aorta were measured. Two radiologists independently evaluated the subjective image quality including the overall image noise and structure display ability on a 4-point scale with 3 being clinically acceptable. The measurements among the reconstruction groups were compared using one-way ANOVA.

resultsThe overall image noise score and display ability were 4.00 ± 0.00 and 4.00 ± 0.00 with MBIR and 3.27 ± 0.33 and 3.25 ± 0.43 with ASIR100%, respectively, which met the diagnostic requirement; other reconstructions couldn't meet the diagnostic requirements. Compared with FBP images, the noise of MBIR images was reduced by 62.86-65.73% for the respective organs (F = 48.15-80.47, P < 0.05), and CNR increased by 151.38-170.69% (F = 22.94-38.02, P < 0.05).

conclusionsMBIR or ASIR100% improves the image quality of low radiation dose and contrast dose abdominal CT in children to meet the diagnostic requirements, and MBIR has the best performance.

Indexed as

AlgorithmsAbdomenAdolescentAnalysis of VarianceAorta, AbdominalChildChild, PreschoolContrast MediaFemaleHumansImage Processing, Computer-AssistedInfantKidneyLiverMalePancreasContrast MediaiodixanolTriiodobenzoic AcidsAbdomenChildrenComputed tomographyImage processingLow-concentration contrast agent

Identifiers

PMID32319005
OpenAlexW3016683277

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.