Evidence map›Paper›PMID 35543163›Full record

ArticleJournal of magnetic resonance imaging : JMRI2022

Regional Analysis of Liver Surface Nodularity in a Single Axial MR Image for Staging Liver Fibrosis.

Tae-Hoon Kim, Youe Ree Kim, Chang-Won Jeong, Hyung Joong Kim, Jin Woong Kim, Young Hwan Lee, Kwon-Ha Yoon

Abstract readMulticenter Study
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2022. 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
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Tae-Hoon KimMedical Convergence Research Center, Wonkwang University, Iksan, Republic of Korea.
Youe Ree KimMedical Convergence Research Center, Wonkwang University, Iksan, Republic of Korea.ORCID 0000-0001-5615-9721
Chang-Won JeongMedical Convergence Research Center, Wonkwang University, Iksan, Republic of Korea.
Hyung Joong KimDepartment of Biomedical Engineering, Kyung Hee University, Dongdaemun-gu, Seoul, Republic of Korea.ORCID 0000-0001-7591-9079
Jin Woong KimDepartment of Radiology, Chosun University College of Medicine, Chosun University Hospital, Gwangju, Korea.
Young Hwan LeeMedical Convergence Research Center, Wonkwang University, Iksan, Republic of Korea.
Kwon-Ha YoonMedical Convergence Research Center, Wonkwang University, Iksan, Republic of Korea.ORCID 0000-0002-2634-8510

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe assessment of liver surface nodularity (LSN) for staging hepatic fibrosis is restricted in clinical practice because it requires customized software and time-consuming procedures. A simplified method to estimate LSN score may be useful in the clinic. PURPOSE: To evaluate the regional analysis of LSN and processing time in a single axial liver MR image for staging liver fibrosis. STUDY TYPE: Retrospective. POPULATION: A total of 210 subjects, a multicenter study. FIELD STRENGTH/SEQUENCE: A 3 T/noncontrast gradient echo T1WI. ASSESSMENT: Subjects were divided into five fibrosis groups (F STATISTICAL TESTS: Regional variations in LSN scores were compared using ANOVA with Tukey test. Agreement between the mean and regional LSN measurements was evaluated using Pearson correlation coefficients (r) and Bland-Altman plots. The diagnostic performance of mean and regional LSN scores according to fibrosis stage was evaluated with the AUROC. A P value < 0.05 was considered statistically significant.

resultsTotal processing time for a regional LSN measurement (3.6 min) was 75.5% less than that for mean LSN measurement (14.7 min). Mean LSN scores and all five regional LSN scores showed significant differences between fibrosis groups. Among regional LSN scores, ROI

conclusionQuantitative regional LSN measurement in a single axial MR image reduces processing time. Regional ROI EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.

Indexed as

LiverLiver CirrhosisFibrosisHumansMagnetic Resonance ImagingRetrospective Studiesliver fibrosisliver surface nodularity (LSN)regional analysis

Identifiers

PMID35543163
PMCPMC9790718

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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.