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New Magnetic Resonance Imaging Index for Renal Fibrosis Assessment: A Comparison between Diffusion-Weighted Imaging and T1 Mapping with Histological Validation.
Friedli, I; Crowe, L A; Berchtold, L; Moll, S; Hadaya, K; de Perrot, T; Vesin, C; Martin, P-Y; de Seigneux, S; Vallée, J-P.
Afiliación
  • Friedli I; Division of Radiology, Department of Radiology and Medical Informatics Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland.
  • Crowe LA; Division of Radiology, Department of Radiology and Medical Informatics Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland.
  • Berchtold L; Service of Nephrology, Department of Internal Medicine Specialties, Geneva University Hospitals, University of Geneva, Faculty of Medicine, Geneva, Switzerland.
  • Moll S; Division of Pathology, Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland.
  • Hadaya K; Divisions of Nephrology and Transplantation, Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland.
  • de Perrot T; Division of Radiology, Department of Radiology and Medical Informatics Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland.
  • Vesin C; Division of Cell Physiology and Metabolism, Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland.
  • Martin PY; Service of Nephrology, Department of Internal Medicine Specialties, Geneva University Hospitals, University of Geneva, Faculty of Medicine, Geneva, Switzerland.
  • de Seigneux S; Service of Nephrology, Department of Internal Medicine Specialties, Geneva University Hospitals, University of Geneva, Faculty of Medicine, Geneva, Switzerland.
  • Vallée JP; Division of Radiology, Department of Radiology and Medical Informatics Geneva University Hospitals and Faculty of Medicine of the University of Geneva, Switzerland.
Sci Rep ; 6: 30088, 2016 07 21.
Article en En | MEDLINE | ID: mdl-27439482
A need exists to noninvasively assess renal interstitial fibrosis, a common process to all kidney diseases and predictive of renal prognosis. In this translational study, Magnetic Resonance Imaging (MRI) T1 mapping and a new segmented Diffusion-Weighted Imaging (DWI) technique, for Apparent Diffusion Coefficient (ADC), were first compared to renal fibrosis in two well-controlled animal models to assess detection limits. Validation against biopsy was then performed in 33 kidney allograft recipients (KARs). Predictive MRI indices, ΔT1 and ΔADC (defined as the cortico-medullary differences), were compared to histology. In rats, both T1 and ADC correlated well with fibrosis and inflammation showing a difference between normal and diseased kidneys. In KARs, MRI indices were not sensitive to interstitial inflammation. By contrast, ΔADC outperformed ΔT1 with a stronger negative correlation to fibrosis (R(2) = 0.64 against R(2) = 0.29 p < 0.001). ΔADC tends to negative values in KARs harboring cortical fibrosis of more than 40%. Using a discriminant analysis method, the ΔADC, as a marker to detect such level of fibrosis or higher, led to a specificity and sensitivity of 100% and 71%, respectively. This new index has potential for noninvasive assessment of fibrosis in the clinical setting.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrosis / Procesamiento de Imagen Asistido por Computador / Imagen por Resonancia Magnética / Enfermedades Renales Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Límite: Adult / Aged / Animals / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2016 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrosis / Procesamiento de Imagen Asistido por Computador / Imagen por Resonancia Magnética / Enfermedades Renales Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Límite: Adult / Aged / Animals / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2016 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Reino Unido