Abstract #0481
Validation of automatically measured ΔT1 values correlated with eGFR and fibrosis assessment of allograft kidneys
Ibtisam Aslam1,2, 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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