Detection and quantification of renal fibrosis by computerized tomography

PLoS One. 2020 Feb 13;15(2):e0228626. doi: 10.1371/journal.pone.0228626. eCollection 2020.

Abstract

Objectives: Reliable biomarkers for renal fibrosis are needed for clinical care and for research. Existing non-invasive biomarkers are imprecise, which has limited their utility.

Methods: We developed a method to quantify fibrosis by subject size-adjusted CT Hounsfield units. This was accomplished using CT measurements of renal cortex in previously irradiated non-human primates.

Results: Renal cortex mean CT Hounsfield units that were adjusted for body size had a very good direct correlation with renal parenchymal fibrosis, with an area under the curve of 0.93.

Conclusions: This metric is a promising and simple non-invasive biomarker for renal fibrosis.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Area Under Curve
  • Biomarkers
  • Body Size
  • Calibration
  • Diagnosis, Computer-Assisted*
  • Female
  • Fibrosis / diagnostic imaging
  • Kidney / diagnostic imaging*
  • Kidney / pathology
  • Macaca mulatta
  • Magnetic Resonance Imaging
  • Male
  • Models, Animal
  • Phantoms, Imaging
  • ROC Curve
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed*

Substances

  • Biomarkers