Title |
Retrospective study on MRI accuracy in assessing liver fibrosis among patients with chronic liver disease
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Authors |
Subha Santhoshi Vanka1, Nikita Rao Nalla2, Shaheed Shaik3, Navneeth Jayaprakash4, Mohammed Zakiullah Shareef5 & Sneha Mahalpure6,*
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Affiliation |
1Departments of Medicine, Madurai Medical College, Madurai, Tamilnadu, 625020, India; 2Department of Gastroenterology, Mahatma Gandhi Medical College and Research Institute, Puducherry, Tamilnadu, India; 3Department of Radiology, Gandhi Medical College, Musheerabad, Secunderabad, Telangana, India; 4Department of Internal Medicine, D.Y. Patil Medical College, Kolhapur, Maharashtra, India; 5Department of Internal Medicine, AL Hada Armed Forces Hospital , AL Hada, TAIF, Kingdom of Saudi Arabia; 6Department of Anatomy, NKP Salve Institute of Medical Sciences, Nagpur, Maharashtra; *Corresponding author
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Subha Santhoshi Vanka - E-mail: vankasubha135@gmail.com
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Article Type |
Research Article
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Date |
Received June 1, 2025; Revised June 30, 2025; Accepted June 30, 2025, Published June 30, 2025
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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. |
Keywords |
Liver fibrosis, chronic liver disease, MRI elastography, non-invasive assessment, fibrosis staging, diagnostic accuracy
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Citation |
Vanka et al. Bioinformation 21(6): 1643-1646 (2025)
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Edited by |
A Prashanth
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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