Evidence map›Paper›PMID 30240280›Full record

Trial reportThe British journal of radiology2019

Improving image quality with model-based iterative reconstruction at quarter of nominal dose in upper abdominal CT.

Xirong Zhang, Jing Chen, Nan Yu, Zhanli Ren, Qian Tian, Xin Tian, Taiping He, Changyi Guo

Abstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Advanced imaging techniques for chronic pancreatitis.Abdominal radiology (New York) · 2020
    Review
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

8 authors.

Xirong ZhangDepartment of Medical Techniques, Shaanxi University of Chinese medicine, Xianyang, China.
Jing ChenDepartment of Radiology, Affiliated Hospital of Shaanxi University of Chinese medicine, Xianyang, China.
Nan YuDepartment of Radiology, Affiliated Hospital of Shaanxi University of Chinese medicine, Xianyang, China.
Zhanli RenDepartment of Radiology, Affiliated Hospital of Shaanxi University of Chinese medicine, Xianyang, China.
Qian TianDepartment of Radiology, Affiliated Hospital of Shaanxi University of Chinese medicine, Xianyang, China.
Xin TianDepartment of Radiology, Affiliated Hospital of Shaanxi University of Chinese medicine, Xianyang, China.
Taiping HeDepartment of Radiology, Affiliated Hospital of Shaanxi University of Chinese medicine, Xianyang, China.
Changyi GuoDepartment of Radiology, The Second Affiliated Hospital of Shaanxi University of Chinese medicine, Xianyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the ability of a model-based iterative reconstruction (MBIR) for improving image quality in upper abdominal CT with quarter of the normal dose, in comparison with adaptive statistical iterative reconstruction (ASiR) at normal dose.

methods40 upper abdominal patients were randomly divided into two groups: normal-dose group (

resultsDose reduction of 75 % was achieved for the low-dose scan. The subjective scores (95 % confidence intervals) of the three groups (NI 10-40 %  ASiR, NI 20-40%  ASiR and NI 20-MBIR) were 4.00 ± 0.79 (3.62-4.37), 3.35 ± 0.58 (3.07-3.62) and 3.90 ± 0.64 (3.60-4.19), respectively with no difference between the NI 10-40%  ASiR and NI20-MBIR groups and good consistency between reviewers (κ = 0.726). MBIR had statistically lower SD values and higher contrast-to-noise ratio values in the liver, spleen, pancreas, kidney and erector spine than NI 10-40%  ASiR and NI 20-40%  ASiR (all

conclusionAt 75 % dose reduction, MBIR provides similar image quality compared to 40% ASiR at normal-dose. ADVANCES IN KNOWLEDGE: MBIR provides good image quality at 25 % of the normal dose.

Indexed as

Radiation DosageAbdominal CavityAdultChinaCohort StudiesFemaleGallbladder NeoplasmsHospitals, UniversityHumansKidney NeoplasmsLiver NeoplasmsLogistic ModelsMaleMiddle AgedMultivariate AnalysisPancreatic Neoplasms

Identifiers

PMID30240280
PMCPMC6435090

What OpenQuestion holds

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Registered trials

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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.