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Automated magnetic resonance imaging detects metabolic disturbances in liver and pancreas, indicating potential for clinical use.
Automated magnetic resonance signatures of pancreatic and hepatic tissue composition were significantly associated with clinically relevant disturbances in lipid metabolism and indices of glucose homeostasis. These findings support the feasibility of opportunistic, automated detection of abnormal blood metabolic parameters using high-resolution cross-sectional imaging.
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Kimita et al. (2026) studied this question.
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