Digital liver biopsy: Bio-imaging of fatty liver for translational and clinical research

doi:10.4254/wjh.v10.i2.231

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World Journal of Hepatology

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1948-5182

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Hepatol. Feb 27, 2018; 10(2): 231-245
Published online Feb 27, 2018. doi: 10.4254/wjh.v10.i2.231

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Figure 2 Radiogenomic approach to liver disease. Radiogenomics integrates radiomic data (upper panel), produced from the in silico extraction of features from bio-images, with genomic data (lower panel), coming from the study of bio-specimens with next generation sequencing technologies. Radiogenomics represents a powerful strategy to improve and personalize diagnostic accuracy, as well as measure response to therapy, leading to an overall improvement of patient management affected by liver disease.

Citation: Mancini M, Summers P, Faita F, Brunetto MR, Callea F, De Nicola A, Di Lascio N, Farinati F, Gastaldelli A, Gridelli B, Mirabelli P, Neri E, Salvadori PA, Rebelos E, Tiribelli C, Valenti L, Salvatore M, Bonino F. Digital liver biopsy: Bio-imaging of fatty liver for translational and clinical research. World J Hepatol 2018; 10(2): 231-245
URL: https://www.wjgnet.com/1948-5182/full/v10/i2/231.htm
DOI: https://dx.doi.org/10.4254/wjh.v10.i2.231

Mancini M, Summers P, Faita F, Brunetto MR, Callea F, De Nicola A, Di Lascio N, Farinati F, Gastaldelli A, Gridelli B, Mirabelli P, Neri E, Salvadori PA, Rebelos E, Tiribelli C, Valenti L, Salvatore M, Bonino F. Digital liver biopsy: Bio-imaging of fatty liver for translational and clinical research. World J Hepatol 2018; 10(2): 231-245 [PMID: 29527259 DOI: 10.4254/wjh.v10.i2.231]

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