Abstract #0481

Validation of automatically measured ΔT1 values correlated with eGFR and fibrosis assessment of allograft kidneys

Ibtisam Aslam^1,2, Fariha Aamir³, Miklos KASSAI¹, Lindsey A CROWE¹, Sophie de Seigneux⁴, Solange Moll⁵, Lena BERCHTOLD⁴, and Jean-Paul VALLEE¹

¹Service of Radiology, Geneva University Hospitals and Faculty of Medicine, University Hospital and University of Geneva, Geneva, Switzerland, ²Medical Image Processing Research Group (MIPRG), Deptt. of Electrical & Computer Engineering, COMSATS University Islamabad, ISLAMABAD, Pakistan, ³Medical Image Processing Research Group (MIPRG), Deptt. of Electrical & Computer Engineering, COMSATS University Islamabad (CUI), Pakistan, ISLAMABAD, Pakistan, ⁴Service and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland, ⁵Department of Clinical Pathology, Institute of Clinical Pathology, University Hospital and University of Geneva, Geneva, Switzerland

Synopsis

Chronic kidney disease (CKD) affects 11% of the population in Switzerland & US per year and is a major public health issue. Also, the CKD is 16th most prominent reason of life lost worldwide. MRI T1-mapping is a non-invasive way to monitor the renal prognosis. Recent studies show that the ∆T1 (cortex-medullary difference) has a strong positive correlation with fibrosis in CKD patients and is an important biomarker for CKD. This work proposes a validation of the T1-map cortico-medullary difference (ΔT1) values measured from automatically segmented cortex and medulla for eGFR and fibrosis assessment of allograft kidneys.

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