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. 2023 Apr;16(4):e202200208.
doi: 10.1002/jbio.202200208. Epub 2022 Dec 10.

In vivo grading of lipids in fatty liver by near-infrared autofluorescence and reflectance

José Lifante  1   2 , María de la Fuente-Fernández  1 , Marta Román-Carmena  2 , Nuria Fernandez  1 , Daniel Jaque García  1   2 , Miriam Granado  1 , Erving Ximendes  1   2
Affiliations

In vivo grading of lipids in fatty liver by near-infrared autofluorescence and reflectance

José Lifante et al. J Biophotonics. 2023 Apr.

Abstract

The prevalence of nonalcoholic fatty liver (NAFLD) is rapidly increasing worldwide. When untreated, it may lead to complications such as liver cirrhosis or hepatocarcinoma. The diagnosis of NAFLD is usually obtained by ultrasonography, a technique that can underestimate its prevalence. For this reason, physicians aspire for an accurate, cost-effective, and noninvasive method to determine both the presence and the specific stage of the NAFLD. In this paper, we report an integrated approach for the quantitative estimation of the density of triglycerides in the liver based on the use of autofluorescence and reflectance signals generated by the abdomen of obese C57BL6/J mice. Singular value decomposition is applied to the generated spectra and its corresponding regression model provided a determination coefficient of 0.99 and a root mean square error of 240 mg/dl. This, in turn, enabled the quantitative imaging of triglycerides density in the livers of mice under in vivo conditions.

Keywords: autofluorescence; nonalcoholic fatty liver; reflectance; singular value decomposition; spectra.

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