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Abstract #1181

Multivariate Analysis including Biological Biomarkers, Diffusion-Weighted Imaging, T1 and T2 Mapping for Renal Fibrosis Prediction

Iris Friedli1, Lena Berchtold2, Lindsey A Crowe3, Chantal Martinez2, Solange Moll2, Karine Hadaya2, Thomas De Perrot2, Pierre-Yves Martin2, Jean-Paul Vallée2, and Sophie De Seigneux2

1Radiology, University of Geneva, Geneva, Switzerland, 2University Hospital of Geneva, Geneva, Switzerland, 3University of Geneva, Geneva, Switzerland

Recently, the cortico-medullary difference in Apparent Diffusion Coefficient (ΔADC) from (RESOLVE) diffusion-weighted imaging (DWI with readout segmentation of long variable echo train) allowed the classification of kidney allograft patients according to whether they had more or less than 40% interstitial fibrosis. In this study, ΔADC was externally validated, with a very good AUC, as an index to identify patients with more than 40% fibrosis in a larger and mixed population of 130 patients. In addition, a mixed scoring including the combination of routinely obtained serologic markers including eGFR, and MRI-derived (ΔADC and ΔT1) was proposed to improve renal fibrosis prediction.

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