Antaros Medical presents data from large-scale, deep-learning kidney volume analysis by MRI during American Society of Nephrology Kidney Week 2020

October 28th, 2020

The American Society of Nephrology (ASN) Kidney Week 2020 has just finished. This year, a reimagined, fully virtual event gathered people from all around the world to discuss and explore the field of kidney disease.

 

Collaboration between Antaros Medical and researchers at Uppsala University has resulted in a deep-learning pipeline for automated measurements of parenchymal kidney volume in Magnetic Resonance Images (MRI), generating large-scale data which was presented at this year’s ASN Kidney Week.

 

Kidney volume is a well-known marker for the state of the kidney and has been associated with several aspects for kidney disease, including:

 

  • In autosomal dominant polycystic kidney disease (ADPKD) kidney volume is an important biomarker for diagnosis and prognosis
  • In chronic kidney disease (CKD), kidney volume decreases with kidney function as a cause of the ongoing pathophysiological processes including fibrosis
  • The early stage of type 2 diabetes (T2D) is associated with an increased kidney size which can lead to diabetic nephropathy

 

There is, however, a lot more to be explored for these relationships as well as other confounders. The presented large-scale MRI kidney volume analysis (n=~40,000) investigated relationships between kidney volume and multiple parameters such as age, body size/composition measurements as well as T2D. As previously known, kidney volume declines with age, but the analysis showed that males have an increase rate of decline with age. Interestingly, kidney volume was larger in middle-aged T2D subjects than non-T2D, possibly explained by increased hyperfiltration and oxidative stress in T2D. Future work might elucidate further insights of the biological importance of kidney volume.

 

To find out more, have a look at the following contributions at the ASN Kidney Week 2020.

 

Kidney Segmentation with Deep Learning in MRI of 40,000 UK Biobank Subjects

 

Authors: T Langner, A Östling, L Maldonis, A Karlsson, D Olmo, D Lindgren, A Wallin, L

Lundin, R Strand, H Ahlström, J Kullberg

 

Large-Scale Kidney Volumetry from MRI – Initial Results and Relations to Sex, Age and Body Size in UK Biobank

 

Authors: J Kullberg, T Langner, D Rivas, I Friedli, T Fall, R Strand, H Ahlström, L Johansson

 

The Aging Kidney: Renal Parenchymal Volumes from MRI – A Comparison Between T2D and Non-T2D in 37,450 UK Biobank Participants

 

Authors: L Johansson, T Langner, P Hockings, L Jarl, L Maldonis, T Fall, H Ahlström, J Kullberg

 

This work was performed using the UK Biobank under Application no. 14237.

 

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