Commentary on "Noninvasive assessment of single kidney glomerular filtration rate using multiple diffusion weighted imaging models"

Abdom Radiol (NY). 2024 Aug 8. doi: 10.1007/s00261-024-04517-z. Online ahead of print.

Authors

Yuki Arita¹, Ryo Ueda², Satoshi Masuyama³

Affiliations

¹ Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States. [email protected].
² Office of Radiation Technology, Keio University Hospital, Shinjuku-ku, Tokyo, Japan.
³ Department of Nephrology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.

PMID: 39115683
DOI: 10.1007/s00261-024-04517-z

No abstract available

Keywords: Diffusion magnetic resonance imaging; Diffusion tensor imaging; Glomerular filtration rate; Machine learning; Neural networks.

Publication types

Letter

Grants and funding

P30 CA008748/CA/NCI NIH HHS/United States