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Low-cost non-invasive diagnostic tools for staging the progression of non-alcoholic chronic liver failure from fatty liver disease to steatohepatitis are unavailable. Here, we describe the development and performance of a portable single-sided magnetic-resonance sensor for grading liver steatosis and fibrosis using diffusion-weighted multicomponent T2 relaxometry. In a diet-induced mouse model of non-alcoholic fatty liver disease, the sensor achieved overall accuracies of 92% (Cohen’s kappa, κ = 0.89) and 86% (κ = 0.78) in the ex vivo grading of steatosis and fibrosis, respectively. Localization of the measurements in living mice through frequency-dependent spatial encoding led to an overall accuracy of 87% (κ = 0.81) for the grading of steatosis. In human liver samples, the sensor graded steatosis with an overall accuracy of 93% (κ = 0.88). The use of T2 relaxometry as a sensitive measure in fully automated low-cost magnetic-resonance devices at the point of care would alleviate the accessibility and cost limits of magnetic-resonance imaging for diagnosing liver disease and assessing liver health before liver transplantation.
Bibliographical noteFunding Information:
We thank staff at the Koch Institute Swanson Biotechnology Center for technical support, specifically W. Huang and V. Spanoudaki at Animal Imaging and Preclinical Testing and K. Cormier at Histology; A. Warren, K. Nayak, M. Rosen, E. Adalsteinsson, S. Carrasco, K. Subramanyam, M. Cotler, E. Rousseau and K. Ramadi for discussions; staff at the New England Donor Services and the patients and families that made this study possible. This work was supported in part by the Koch Institute Support (core) grant no. P30-CA14051 from the National Cancer Institute, the National Institutes of Health grant nos. R01DK096075 and R01DK107875, and National Science Foundation (ATP-Bio 1941543). A.B. was supported by a Fannie & John Hertz Foundation Graduate Fellowship and a National Science Foundation Graduate Fellowship.
© 2020, The Author(s), under exclusive licence to Springer Nature Limited.
PubMed: MeSH publication types
- Journal Article
- Research Support, N.I.H., Extramural
- Research Support, Non-U.S. Gov't
- Research Support, U.S. Gov't, Non-P.H.S.
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ATP-Bio: NSF Engineering Research Center for Advanced Technologies for the Preservation of Biological Systems (ATP-Bio)
9/1/20 → 8/31/25
Project: Research project