PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 9, 2026European Radiology Experimental0 citationsOpen Access

Combining DMI and 18FFDG-PET can complement the assessment of metabolic dysfunction-associated fatty liver disease

VEViktoria EhretUUUsevalad UstsinauCFC Fürnsinn

Key Points

  • This research aims to evaluate the effectiveness of combining DMI and FDG-PET imaging for assessing metabolic dysfunction in fatty liver disease.
  • Simultaneous DMI and [¹⁸F]FDG-PET acquisition conducted on a standard PET/MR system.
  • Hybrid imaging enabled dual assessment of hepatic glucose transport and metabolism, with improved evaluation efficiency.
  • High-dose glucose administration was administered during DMI, compatible with PET imaging.
  • DMI-PET imaging demonstrated technical feasibility for simultaneous acquisition of glucose metabolism data.
  • Reduced assessment duration enhances patient comfort and metabolic evaluation efficacy.
  • The combination approach shows promise for comprehensive evaluation of metabolic dysfunction in fatty liver disease.

Abstract

F]FDG-PET acquisition for assessing hepatic glucose metabolism. With its proven viability in healthy and MAFLD livers, hybrid DMI-PET imaging shows promise as a prospective non-invasive tool to improve metabolic disease characterization and support future research applications. KEY POINTS: Simultaneous DMI and ¹⁸FFDG-PET acquisition is technically feasible on a standard PET/MR system. Hybrid DMI-PET imaging enables dual assessment of hepatic glucose transport and metabolism, offering the advantage of reduced assessment duration. High-dose glucose administration for DMI is compatible with PET imaging, thereby reducing the subject's burden and enhancing liver metabolic evaluation.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ehret et al. (2026) studied this question.

synapsesocial.com/papers/69fed0abb9154b0b82877b9ehttps://doi.org/10.1186/s41747-026-00724-z
Ask AI
Helpful
Bookmark
Share
View Full Paper