Evidence map›Paper›PMID 40978649›Full record

ArticleBioinformation2025

Retrospective study on MRI accuracy in assessing liver fibrosis among patients with chronic liver disease.

Subha Santhoshi Vanka, Nikita Rao Nalla, Shaheed Shaik, Navneeth Jayaprakash, Mohammed Zakiullah Shareef, Sneha Mahalpure

Abstract read
In one paragraph

Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Subha Santhoshi VankaDepartments of Medicine, Madurai Medical College, Madurai, Tamilnadu 625020, India.
Nikita Rao NallaDepartment of Gastroenterology, Mahatma Gandhi Medical College and Research Institute, Puducherry, Tamilnadu, India.
Shaheed ShaikDepartment of Radiology, Gandhi Medical College, Musheerabad, Secunderabad, Telangana, India.
Navneeth JayaprakashDepartment of Internal Medicine, D.Y. Patil Medical College, Kolhapur, Maharashtra, India.
Mohammed Zakiullah ShareefDepartment of Internal Medicine, AL Hada Armed Forces Hospital , AL Hada, TAIF, Kingdom of Saudi Arabia.
Sneha MahalpureDepartment of Anatomy, NKP Salve Institute of Medical Sciences, Nagpur, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is increasingly being utilized for the non-invasive liver fibrosis evaluation among chronic liver disease (CLD) patients. Therefore, it is of interest to assess the staging and diagnostic accuracy of MRI for liver fibrosis compared to histopathological outcome in 150 patients with CLD. MRI data were analyzed with advanced techniques such as elastography and T1/T2 mapping and these results were matched against fibrosis stages ascertained through biopsy. The sensitivity and specificity of MRI in detecting extensive fibrosis ≥F2 were 88% and 91%, respectively. Fibrosis scores determined by MRI were correlated with histopathological stage with r = 0.87, p < 0.01. The findings revealed MRI as an effective non-invasive modality for liver fibrosis that, complementarily, decreases the position of invasive biopsy in patients with CLD.

Indexed as

chronic liver diseasediagnostic accuracyfibrosis stagingLiver fibrosisMRI elastographynon-invasive assessment

Identifiers

PMID40978649
PMCPMC12449564

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