Back to all papers

Multiparametric functional MRI for early detection of renal impairment: clinical applications and future directions.

May 23, 2026pubmed logopapers

Authors

Yang J,Chen J,Zhang S

Affiliations (3)

  • Department of Graduate School, Zunyi Medical University, Zunyi, China.
  • Guizhou Province International Science and Technology Cooperation Bsae for Precision Imaging Diagnosis and Treatment, Key Laboratory of Advanced Medical Imaging and Intelligent Computing of Guizhou Province, Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, China.
  • Department of Graduate School, Zunyi Medical University, Zunyi, China. [email protected].

Abstract

Early identification of renal impairment is critical for improving patient outcomes. Most current biochemical markers of renal function are not sensitive enough to detect early changes in kidney function. Functional magnetic resonance imaging (fMRI) is a new technique that is not only non-invasive (it does not use ionizing radiation) but also provides very high-resolution images of soft tissue. fMRI can measure a variety of parameters related to renal function, including renal perfusion, oxygenation, water-molecule diffusion, and microstructural changes, enabling a comprehensive multiparametric assessment of renal function that may lead to earlier detection of renal impairment. This review provides a systematic analysis of the multiparametric fMRI techniques available for assessing early renal impairment, including the principles of diffusion-weighted imaging (DWI) and its derivatives; blood-oxygen-level-dependent (BOLD) imaging ; arterial spin labeling (ASL); and relaxometry (T1/T2 mapping). It elaborates on their application progress in the early identification of acute kidney injury (AKI), chronic kidney disease (CKD), diabetic kidney disease (DKD), and renal allograft injury. The review objectively analyzes the current limitations and controversies of these technologies and discusses future directions that integrate artificial intelligence (AI) and multimodal fusion. This review aims to equip radiologists and clinicians with the knowledge to make more informed, precise, and timely decisions in the management of early renal impairment.

Topics

Journal ArticleReview

Ready to Sharpen Your Edge?

Subscribe to join 11k+ peers who rely on RadAI Slice. Get the essential weekly briefing that empowers you to navigate the future of radiology.

We respect your privacy. Unsubscribe at any time.