Evidence map›Paper›PMID 32986732›Full record

ArticlePloS one2020

Quantitative assessment of liver fibrosis by digital image analysis reveals correlation with qualitative clinical fibrosis staging in liver transplant patients.

Kun Jiang, Mohammad K Mohammad, Wasim A Dar, Jun Kong, Alton B Farris

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. SOFTWARE-ASSISTED IMAGE ANALYSIS FOR IDENTIFICATION AND QUANTIFICATION OF HEPATIC SINUSOIDAL DILATATION AND CENTRILOBULAR FIBROSIS.Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2021
    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

5 authors at 2 institutions in 1 country.

Kun JiangDepartment of Pathology, Emory University, Atlanta, Georgia, United States of America.
Mohammad K MohammadDepartment of Pathology, Emory University, Atlanta, Georgia, United States of America.
Wasim A DarDepartment of Surgery, The University of Texas Health Science Center, Houston, Texas, United States of America.ORCID 0000-0001-8095-248X
Jun KongDepartment of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, United States of America.
Alton B FarrisDepartment of Pathology, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0001-5534-7763
Emory University · USThe University of Texas Health Science Center at Houston · US

Funding

The RPE and Recovery of the Blood Retina BarrierR01EY028450 · NEI · EMORY UNIVERSITY · PI BOATRIGHT, JEFFREY H, GROSSNIKLAUS, HANS E. · 2018 to 2022
$2.4M
NEI NIH HHS R01 EY028450
6 · The paper itself

Abstract

Technologies for digitizing tissues provide important quantitative data for liver histopathology investigation. We aimed to assess liver fibrosis degree with quantitative morphometric measurements of histopathological sections utilizing digital image analysis (DIA) and to further investigate if a correlation with histopathologic scoring (Scheuer staging) exists. A retrospective study of patients with at least two post-liver transplant biopsies having a Scheuer stage of ≤ 2 at baseline were gathered. Portal tract fibrotic percentage (%) and size (μm2) were measured by DIA, while clinical fibrosis score was measured by the Scheuer system. Correlations between DIA measurements and Scheuer scores were computed by Spearman correlation analysis. Differences between mean levels of fibrosis (score, size, and percentage) at baseline versus second visit were computed by Student's t-test. P values < 0.05 were considered significant. Of 22 patients who met the study criteria, 54 biopsies were included for analysis. Average levels ±standard error [S.E.] of portal tract fibrotic percentage (%) and size (μm2) progressed from 46.5 ± 3.6% at baseline to 61.8 ± 3.8% at the second visit (P = 0.005 by Student's t-test), and from 28,075 ± 3,232 μm2 at base line to 67,146 ± 10,639 μm2 at the second visit (P = 0.002 by Student's t-test), respectively. Average levels of Scheuer fibrosis scores progressed from 0.55±0.19 at baseline to 1.14±0.26 at the second visit (P = 0.02 by Student's t-test). Portal tract fibrotic percentage (%) and portal tract fibrotic size were directly correlated with clinical Scheuer fibrosis stage, with Spearman correlation coefficient and P value computed as r = 0.70, P < 0.0001 and r = 0.41, P = 0.002, respectively. Digital quantitative assessment of portal triad size and fibrosis percentage demonstrates a strong correlation with visually assessed histologic stage of liver fibrosis and complements the standard assessment for allograft monitoring, suggesting the utility of future WSI analysis.

Indexed as

Liver TransplantationSeverity of Illness IndexAdultAgedBiopsyDisease ProgressionFemaleFollow-Up StudiesHepacivirusHepatitis C, ChronicHumansImage Processing, Computer-AssistedLiver CirrhosisMaleMiddle AgedRetrospective Studies

Identifiers

PMID32986732
PMCPMC7521727
OpenAlexW3091080028

What OpenQuestion holds

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LicenceCC BY
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.