Evidence map›Paper›PMID 39106024›Full record

ArticleLa Radiologia medica2024

Diagnostic accuracy of an uncorrected native T1 mapping sequence for liver fibrosis and inflammation in autoimmune hepatitis: a prospective study using histopathology as reference standard.

Natália B N Gomes, Ulysses S Torres, Angela H M Caiado, Patricia S Fucuta, Maria Lucia C G Ferraz, Giuseppe D'Ippolito

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Article in La Radiologia medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  4. Clinical feasibility of accelerated whole liver water TEuropean radiology experimental · 2026
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Natália B N GomesGrupo Fleury, São Paulo, Brazil. nataliaborgesnunes@gmail.com.ORCID http://orcid.org/0000-0001-9299-5129
Ulysses S TorresGrupo Fleury, São Paulo, Brazil.
Angela H M CaiadoGrupo Fleury, São Paulo, Brazil.
Patricia S FucutaHospital de Base, Faculdade de Medicina de São José do Rio Preto (FAMERP), São Paulo, Brazil.
Maria Lucia C G FerrazDepartment of Gastroenterology, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.
Giuseppe D'IppolitoGrupo Fleury, São Paulo, Brazil.

Funding

Bayer Foundation 20884 / IIR-BR-2018-578Conselho Nacional de Desenvolvimento Científico e Tecnológico 150055/2019-6Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Grupo Fleury NP-312
6 · The paper itself

Abstract

purposeThere is an unmet clinical need for non-invasive imaging biomarkers that could replace liver biopsy in the management of patients with autoimmune hepatitis (AIH). In this study, we sought to evaluate the diagnostic accuracy of a simple uncorrected, non-contrast T1 mapping for detecting fibrosis and inflammation in AIH patients using histopathology as a reference standard. MATERIAL AND

methodsOver 3 years, 33 patients with AIH were prospectively studied using a multiparametric liver MRI protocol which included T1 mapping. Biopsies were performed up to 3 months before imaging, and a standardized histopathological score for fibrosis (F0-F4) and inflammatory activity (PPA0-4) was used as a reference. Statistical analysis included independent t test, Mann-Whitney U-test, and ROC (receiver operating characteristic) analysis.

resultsT1 mapping values were significantly higher in patients with advanced fibrosis (F0-2 vs. F3-4; p < 0.015), significant fibrosis (F0-1 vs. F2-4; p < 0.005), and significant inflammatory activity (PPA 0-1 vs. PPA 2-4 p = 0.048). Moreover, the technique demonstrated a good diagnostic performance in detecting significant (AUC 0.856) and advanced fibrosis (AUC 0.835), as well as significant inflammatory activity (AUC 0.763).

conclusionA rapid, simple, uncorrected, non-contrast T1 mapping sequence showed satisfactory diagnostic performance in comparison with histopathology for detecting significant tissue inflammation and fibrosis in AIH patients, being a potential non-invasive imaging biomarker for monitoring disease activity in such individuals.

Indexed as

Hepatitis, AutoimmuneLiver CirrhosisMagnetic Resonance ImagingAdultAgedBiopsyFemaleHumansInflammationMaleMiddle AgedProspective StudiesReference StandardsAutoimmune hepatitisChronic hepatitisDiagnostic imagingMultiparametric magnetic resonance imaging

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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.