Evidence map›Paper›PMID 36237456›Full record

ArticleTaehan Yongsang Uihakhoe chi2021

Texture Analysis of Gray-Scale Ultrasound Images for Staging of Hepatic Fibrosis.

Eun Joo Park, Seung Ho Kim, Sang Joon Park, Tae Wook Baek

Open access · goldAbstract read
In one paragraph

Article in Taehan Yongsang Uihakhoe chi, 2021. 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
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Machine learning improves early detection of liver fibrosis by quantitative ultrasound radiomics.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2022
    Article
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

4 authors at 2 institutions in 1 country.

Inje University Haeundae Paik Hospital · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the feasibility of texture analysis of gray-scale ultrasound (US) images for staging of hepatic fibrosis. Materials and Methods: Altogether, 167 patients who had undergone routine US and laboratory tests for a fibrosis-4 (FIB-4) index were included. Texture parameters were measured using a dedicated in-house software. Regions of interest were placed in five different segments (3, 5, 6, 7, 8) for each patient. The FIB-4 index was used as the reference standard for hepatic fibrosis grade. Comparisons of the texture parameters between different fibrosis groups were performed with the Student's Results: The study population comprised of patients with no fibrosis (FIB-4 < 1.45, Conclusion: A significant difference was observed regarding skewness in segment 5 between patients with no fibrosis and patients with mild fibrosis.

Indexed as

ComputerDiagnosisFibrosisLiverLiver DiseaseSoftwareUltrasound

Identifiers

PMID36237456
PMCPMC9432409
OpenAlexW3047130487

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.