Evidence map›Paper›PMID 40278875›Full record

ArticleEuropean radiology2025

Identification of abdominal MRI features associated with histopathological severity and treatment response in autoimmune hepatitis.

Xiao Han, Dawei Yang, Yu Su, Qianyi Wang, Min Li, Nianhao Du, Jiahui Jiang, Xin Tian, Jimin Liu, Jidong Jia and 3 more

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing 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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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

1 citing paper in PubMed.

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4 · The record

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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

13 authors.

Xiao Han *Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Dawei Yang *Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yu SuLiver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Qianyi WangLiver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Min LiDepartment of Clinical Epidemiology and Evidence Base Medicine Unit, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Nianhao DuDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Jiahui JiangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xin TianDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Jimin LiuDepartment of Pathology and Molecular Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Canada.
Jidong JiaLiver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Zhenghan YangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China. yangzhenghan@vip.163.com.
Xinyan ZhaoLiver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China. zhao_xinyan@ccmu.edu.cn.ORCID http://orcid.org/0000-0002-8016-4368
Hong MaLiver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China. mahongmd@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify abdominal contrast magnetic resonance imaging (MRI) features associated with histopathological severity, and treatment response in autoimmune hepatitis (AIH). PATIENTS AND

methodsAIH patients who had abdominal contrast MRI within 3 months of liver biopsy were retrospectively enrolled. Histopathological severity, liver volume, MRI features, laboratory tests, and treatment response were collected. MRI and serum models were constructed through stepwise univariate and multivariate logistic regression for diagnosing severe histopathology and predicting insufficient response (IR).

resultsOne hundred AIH patients were included (median age: 57.0 years, 79.0% female). For diagnosing severe portal inflammation, reticular fibrosis and volume ratio of segment V-VIII to total liver (SV-SVIII/TLV) achieved an area under the receiver operating characteristic curve (AUROC) of 0.765 (95% CI 0.670-0.860). Severe confluent necrosis was modeled using hepatic fissure widening, reticular fibrosis, and volume ratio of segment I-III to segments IV-VIII, achieving an AUROC of 0.796 (95% CI 0.708-0.885). Severe histological activity was modeled using ascites, and SV-SVIII/TLV achieved an AUROC of 0.748 (95% CI 0.649-0.847). To diagnose cirrhosis, ascites, reticular fibrosis, and the volume ratio of segment I to the total liver were employed, yielding an AUROC of 0.833 (95% CI 0.716-0.949); IR (transaminases and/or immunoglobulin G remaining unnormal after 6 months of immunosuppressive treatment) was modeled using ascites, gallbladder wall edema, and transient hepatic attenuation difference, achieving an AUROC of 0.796 (95% CI 0.691-0.902).

conclusionThe MRI models demonstrated relatively good performance in evaluating histopathological severity and treatment response. Combining MRI and serum models could enhance diagnostic and prognostic efficacy. KEY POINTS: Question Abdominal contrast MRI may help clinicians better evaluate the histopathological severity and treatment response of autoimmune hepatitis (AIH), but there is currently limited research. Findings Models based on MRI features perform well in diagnosing severe portal inflammation, confluent necrosis, histological activity, and cirrhosis, as well as predicting insufficient response. Clinical relevance Abdominal contrast MRI, combined with serological parameters, provides a new and stronger noninvasive method for clinically assessing AIH progression and treatment.

Indexed as

AbdomenHepatitis, AutoimmuneMagnetic Resonance ImagingAdultAgedBiopsyContrast MediaFemaleHumansLiverMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexTreatment OutcomeContrast MediaAutoimmune hepatitisHistopathologyMagnetic resonance imagingTreatment response

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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.